indonesia health profile 2010

INDONESIA HEALTH PROFILE 2010

MINISTRY OF HEALTH REPUBLIC OF INDONESIA 2011

351.770212 Ind I

Catalog in Publishing Ministry of Health RI 351.770.212 Ind Indonesia. Ministry of Health. Center for Data and Information I Indonesia Health Profile 2010, -- Jakarta : Ministry of Health RI. 2011

ISBN 978-602-8937-89-4 1. Title I. HEALTH STATISTICS This book is published by Ministry of Health Republic of Indonesia Jalan HR. Rasuna Said Blok X-5 Kav 4-9, Jakarta 12950 Phone no: 62-21-5229590, 5221432, 5277169 Fax no: 62-21-5203874 E-mail: statkes@depkes .go.id Web site: http://www.depkes.go.id ________________________________________________________________________

EDITOR OF BOARD

Advisor dr. Ratna Rosita, MPHM

General Secretary Ministry of Health RI

Chief dr. Jane Soepardi

Center for Data and Information

Editor Dra. Rahmaniar Brahim, Apt, MKes

drg. Vensya Sitohang, M.Epid Iskandar Zulkarnaen, SKM, M.Kes

Members

Sunaryadi, SKM,MKes; Nuning Kurniasih, S.Si, Apt, MSi; Marlina Indah Susanti, SKM; Supriyono Pangribowo, SKM; Istiqomah, SS;

Athi Susilowati Rois, SKM; Budi Prihantoro, S.Si ; Margiyono, SKom; Doni Hadhi Kurnianto, SKom; B.B. Sigit;

Muslichatul Hidayah, Hanna Endang Wahyuni; Endang Kustanti; Sondang Tambunan; Hellena Maslinda; Sinin

Contributors

Biro Perencanaan dan Anggaran; Biro Keuangan dan Perlengkapan; Pusat Penanggulangan Krisis; Pusat Pembiayaan dan Jaminan Kesehatan;

Biro Kepegawaian; Set. Ditjen Bina Gizi dan KIA; Dit. Bina Gizi; Dit Bina Kesehatan Ibu; Dit Bina Kesehatan Anak; Set. Ditjen Bina Upaya Kesehatan; Set. Ditjen Pengendalian Penyakit dan Penyehatan Lingkungan; Dit. Pengendalian Penyakit Menular Langsung;

Dit. Pengendalian Penyakit Bersumber Binatang; Dit. Surveilans Imunisasi dan Karantina; Set. Ditjen Bina Kefarmasian dan Alat Kesehatan; Set. Badan Penelitian dan Pengembangan

Kesehatan; Set. Badan PPSDM Kesehatan.

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Indonesia Health Profile is one tool that can be used to report the results of monitoring and evaluation of health achievement of development results, including the performance of the implementation of minimum service standards in the health and achievement of the Millennium Development Goals indicators in health, as well as the various efforts related to health development held across sectors such as BPS Statistics Indonesia and National Population and Family Planning.

Health profile, both District/Municipality Health Profile, Province Health Profile and Indonesia Health Profile present health data/information which relatively complete, including health status, health efforts, health resources, and general data and health‐related environment data. Therefore, the preparation of the health profile should be observed and where possible use a good quality data. The data used to compile Indonesia Health Profile is sourced from the Provincial Health Profile, a report from the unit manager of health development programs, inter‐related sectors, such as Riskesdas survey results, and other data sources. Data presented at the Indonesia Health Profile can be used to compare the state of health development between one province to another province, then a comparison of health development in Indonesia with several countries in Southeast Asia and other member countries of SEARO. With the publication of Indonesia Health Profile, it is expected that comparison of health development, both between provinces and Indonesia with other Southeast Asian countries can be clearly defined.

The book is conceived and strived rising faster than in previous years. There is an increasing awareness of the Provincial Health Profiles managers and program managers in the Ministry of Health, so that the preparation of Indonesia Health Profile can be completed in a relatively fast. Although the Technical Guidelines for preparation of District/Municipality Health Profiles on responsive gender has been circulated since the end of 2010, but the availability of data from the data source have not be compiled properly, so not all data are presented in the form of annexes according to responsive gender‐based data from technical guidelines of responsive gender. With the availability of health data profiles which are gender responsive, that is expected to identify the presence or absence and amount of gap on the conditions, needs and problems faced by men and women in terms of access, participation, control, and health benefits in the health development field.

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This Indonesia Health Profile is presented in printed and soft copy (CD) and also can be downloaded at the website www.depkes.go.id, making it easier for users of Indonesia Health Profile to get it. Hopefully this publication can be useful to all parties, including government, profession organizations, private and public.

We thank you all those who have contributed in the preparation of Indonesia Health Profile 2010.

Jakarta, June 2011 Center for Data and Information dr. Jane Soepardi NIP. 195809231983112001

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I warmly welcome for the publication of "Indonesia Health Profile 2010" faster when compared to previous years. Although there found many obstacles and barriers and a lot of challenges in the process of data collection and health information, finally Center for Data and Information managed to collect data year 2010 and compile them in the form of "Indonesia Health Profile 2010".

There have been many efforts doing by Center for Data and Information so that data can be collected quickly and have high data quality. While these efforts have not achieved maximum results, but still attempted to present it better and faster than in previous years. Challenges and constraints in the provision of data and timely information is quite a lot, so that data and information from every province and program managers in the Ministry of Health and related cross‐sector still can not completely filled. With the publication of "Indonesia Health Profile 2010", I hope will be useful for various parties, both government institutions, private institutions, professional organizations, students and other community groups in getting the data and health information. Health profile is also expected to be used as material for evaluation of health development programs, both at central and regional levels.

On this occasion I express gratitude and highest appreciation to all parties, especially to Center for Data and Information which has been a coordinator in the preparation of Indonesia Health Profile. A big thank you also goes to the contributors of data in the central, local government and inter‐related sectors in compiling Indonesia Health Profile. My hope that Indonesia Health Profile for years upcoming may rise faster and higher quality.

Jakarta, June 2011 General Secretary Ministry of Health

dr. Ratna Rosita, MPHM NIP. 195212051980032001

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FOREWORD i ACKNOWLEDGEMENT OF GENERAL SECRETARY iii LIST OF CONTENT v LIST OF ANNEXES vii CHAPTER I INTRODUCTION 1 CHAPTER II GENERAL DESCRIPTION AND PEOPLE BEHAVIOR 7 A. Demographic Situation 9 B. Economy Situation 16 C. Environmental Health Situation 23 D. People Behavior Situation 27 CHAPTER III HEALTH STATUS SITUATION 33 A. Mortality 35 B. Morbidity 40 CHAPTER IV HEALTH EFFORT SITUATION 69 A. Primary Health Care 71 B. Referral Health Care 96 C. Disease Control and Prevention 100 D. Community Nutrition Improvement 115 E. Health Care in Disaster Situation 125 CHAPTER V HEALTH RESOURCE SITUATION 127 A. Health Facility 129 B. Health Personnel 145 C. Health Budgetting 152 CHAPTER VI COMPARISON BETWEEN INDONESIA WITH ASEAN AND SEARO COUNTRIES 155 A. Demographic 157 B. Health Status 164 C. Health Effort 173

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BIBLIOGRAPHY 179 ANNEXES

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Annex 2.1 Distribution of Government Administration by Province, 2010 Annex 2.2 Total Population by Sex and Sex Ratio by Province, 2010 Annex 2.3 Total Population by Sex and Age Groups, 2010 Annex 2.4 Population Growth Rate by Province, 1971 ‐ 2010 Annex 2.5 Mainland Area, Total Population and Population Density by

Province, 2010 Annex 2.6 Number of Population by Sex, Age Group and Dependency Ratio

by Province, 2010 Annex 2.7 Number and Percentage of Underdeveloped Districts by Province,

2006 ‐ 2010 Annex 2.8 38 Districts as Priority and Very Priority Area in Border and Outer

Islands Region in Indonesia, 2010 Annex 2.9 Poverty Line of Poor People by Province and Area, March, 2010 Annex 2.10 Number and Percentage of Poor People by Province and Area,

2008 ‐ 2010 Annex 2.11 Percentage of Households with Physical Quality of Drinking Water

by Province in Indonesia, Riskesdas 2010 Annex 2.12 Percentage of Households by Source of Clean Water Facilities for

Domestic Purpose by Province in Indonesia, Riskesdas 2010 Annex 2.13 Percentage of Households by Source of Drinking Water Facilities

for Domestic Purpose by Province in Indonesia, Riskesdas 2010 Annex 2.14 Percentage of Households for Access to Quality Drinking Water by

Province in Indonesia, Riskesdas 2010 Annex 2.15 Percentage of Households by Access to Drinking Water by

Province in Indonesia, Riskesdas 2010 Annex 2.16 Percentage of Households by Number of Water Usage

(Person/Day) by Province in Indonesia, Riskesdas 2010 Annex 2.17 Percentage of Households with Toilet Facility by Province in

Indonesia, Riskesdas 2010 Annex 2.18 Percentage of Households by Type of Closet Facility by Province in

Indonesia, Riskesdas 2010 Annex 2.19 Percentage of Households by the End of Feces Disposal by

Province in Indonesia, Riskesdas 2010 Annex 2.20 Percentage of Households by Access to Proper of Waste Disposal

in Accordance MDGs by Province in Indonesia, Riskesdas 2010 Annex 2.21 Percentage of Households by Way of Defecation in Accordance

with JMP WHO‐UNICEF 2008 by Province in Indonesia, Riskesdas 2010

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Annex 2.22 Percentage of Households by Healthy Houses Criteria by Province in Indonesia, Riskesdas 2010

Annex 2.23 Prevalence of Population 15 Years of Age and Over, Smoking and Not Smoking by Province in Indonesia, Riskesdas 2010

Annex 2.24 Prevalence of Smokers 15 Years of Age and Over by First Smoking or Chewing Tobacco by Province , Riskesdas 2010

Annex 2.25 Percentage of Households by Waste Handling Criteria by Province in Indonesia, Riskesdas 2010

Annex 2.26 Percentage of Women Aged 10‐59 Years by Age in First Marriage

by Province in Indonesia, Riskesdas 2010 Annex 2.27 Percentage of Marriage Women Aged 10 ‐ 59 Years by Number of

Children Birth and Province in Indonesia, Riskesdas 2010 Annex 3.1 Estimation of Infant Mortality Rate, Underfive Mortality Rate

(UMR) in 2007 and Life Expectancy Rate by Province, 2009 Annex 3.2 Human Development Index and Component by Province, 2008‐

2009 Annex 3.3 10 Main Diseases of Hospital Inpatients, 2010 Annex 3.4 10 Main Diseases of Hospital Outpatients, 2010 Annex 3.5 Prevalence of Underfive Nutritional Status Based on Weight per

Age by Province, 2010 Annex 3.6 Prevalence of Underfive Nutritional Status Based on Height per

Age by Province, 2010 Annex 3.7 Prevalence of Underfive Nutritional Status Based on Weight per

Height by Province, 2010 Annex 3.8 Prevalence of Underfive Nutritional Status Based on Height per

Age and Weight per Height by Province, 2010 Annex 3.9 Prevalence of Adult Nutritional Status (>18 Years of Age) Based

on Body Mass Index (BMI) by Province, 2010 Annex 3.10 Number of Cases and Morbidity of Malaria by Province, 2010 Annex 3.11 Annual Parasite Insidence (API) of Malaria by Province on 2007‐

2010 Annex 3.12 Period Prevalence of Malaria in One Last Month by Diagnosis and

Province, 2010 Annex 3.13 Case Detection Coverage of Pulmonary TB by Province, 2010 Annex 3.14 TB Acid Flaccid Bacil (AFB) Positive New Cases by Sex and

Province, 2010 Annex 3.15 TB AFB Positive New Cases by Age Group, Sex, and Province, 2010 Annex 3.16 TB AFB Positive, Cured, and Complete Treatment and Success

Rate (SR) by Province, 2009

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Annex 3.17 TB Period Prevalence (D) and Suspect TB Period Prevalence (G)

on > 15 Years of Age Population by Province, Riskesdas 2010 Annex 3.18 AIDS New Cases, AIDS Cumulative Cases, Death Cases, and Case

Rate AIDS per 100,000 Population by Province up to December, 2010

Annex 3.19 AIDS Cumulative Cases per Quarter by Province, 2010 Annex 3.20 Number of Cases and Percentage of AIDS on Injecting Drug Users

(IDU) by Province up to December 2010 Annex 3.21 Number of Underfive Pneumonie Cases by Province, 2010 Annex 3.22 Leprosy New Cases, Case Detection Rate (CDR), Proportion of

Deformity, Cases on Children, and Women by Province, 2010 Annex 3.23 Number of Tetanus Neonatorum Cases and Risk Factors by

Province, 2010 Annex 3.24 Number of Measles Cases by Month and Province, 2010 Annex 3.25 Number of Measles Cases by Age Group and Province, 2010 Annex 3.26 Number of Cases, Deaths, and Incidence Rate of Measles by

Province, 2010 Annex 3.27 Outbreak Frequency and Number of Cases on Measles Outbreak

by Province, 2010 Annex 3.28 Measles Outbreak Based on Laboratory Confirmation by Province,

2010 Annex 3.29 Number of Diphteria Cases by Age Group and Province, 2010 Annex 3.30 Number of Diptheria Cases per Month by Province, 2010 Annex 3.31 Number of AFP Cases and Non Polio AFP Rate by Province, 2010 Annex 3.32 Number of Dengue Haemorrhagic Fever (DHF) Cases, Deaths, Case

Fatality Rate (%), and Incidence Rate per by Province, 2006 ‐ 2010

Annex 3.33 Number of Districts/Municipalities Infected by DHF and Province, 2006 ‐ 2010

Annex 3.34 Diarrhea Outbreaks by Province, 2006 ‐ 2010 Annex 3.35 Number of Chikungunya Cases by Province, 2010 Annex 3.36 Rabies Cases in Indonesia, 2008‐2010 Annex 3.37 Number of Filariasis Cases by Province, 2006 ‐ 2010 Annex 3.38 Pest Situation by Province, 2010 Annex 3.39 Number of Leptospyrosis Cases, Deaths, and Case Fatality Rate

(CFR) by Province, 2004 ‐ 2010 Annex 3.40 Number of Antrax Cases On Human by Province, 2006 ‐ 2010 Annex 4.1 Number of Avian Influenza Cases, Deaths, and Case Fatality Rate

(%) by Province, 2005 ‐ 2010

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Annex 4.2 Percentage of Women Aged 10‐59 Years by Pregnant Women Care Coverage (K1 and K4) by Last Pregnancy per Province, Riskesdas 2010

Annex 4.3 Percentage of Women Age 10‐59 Years for Last Child Pregnancy

by Personnel Health and Province, Riskesdas 2010 Annex 4.4 Percentage of Women Age 10‐59 Years Had Cesarian Section for

Last Child in Last Five Years Period by Province, Riskesdas 2010 Annex 4.5 Coverage of New Family Planning and Active Family Planning

Acceptors by Province, 2010 Annex 4.6 Percentage of New Family Planning Acceptors by Contraception

Method and Province, 2010 Annex 4.7 Proportion of New Family Planning Acceptors by Practice Place,

2010 Annex 4.8 Percentage of Active Family Planning Acceptors by Contraception

Method and Province, 2010 Annex 4.9 Percentage of Women That Married in Age 10‐49 Years by Family

Planning Using Status, Riskesdas 2010 Annex 4.10 Coverage of Neonates Care with Complication and Obstetric Care

with Complication by Province, 2010 Annex 4.11 Coverage of Neonates Visits by Province, 2010 Annex 4.12 Percentage of Neonates Visit in Underfive Age by Province,

Riskesdas, 2010 Annex 4.13 Percentage of Complete Neonates Visit (KN1, KN2, KN3) in

Underfive Age by Province, Riskesdas 2010 Annex 4.14 Coverage of Infant and Underfive Health Care by Province, 2010 Annex 4.15 Coverage of Primary School Performing for Embracing 1st Class

Students by Province, 2010 Annex 4.16 Coverage of Underfive Weighted by Province, 2010 Annex 4.17 Percentage of Weighing Frequency of Children Age 6‐59 Months

During Last Six Months by Province, Riskesdas 2010 Annex 4.18 Coverage of Exclusive Breast Feeding for Infant Age 0‐5 Months

by Province, 2009 Annex 4.19 Percentage of Children Age 0‐23 Months Who Have/Had Been

Breastfeeding by Province, Riskesdas 2010 Annex 4.20 Coverage of Vitamin A Capsule Distribution for Underfive and

Postpartum Mothers by Province, 2010 Annex 4.21 Coverage of 90 Iron Tablet Distribution (Fe3) for Pregnant

Women by Province, 2010 Annex 4.22 Percentage of Children Age 6‐59 Months Having Vitamin A

Capsule During Last Six Months by Province, Riskesdas 2010

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Annex 4.23 Percentage of Population by Energy Sufficiency and Protein Consumption, Riskesdas 2010

Annex 4.24 Coverage of Universal Child Immunization (UCI) Village by Province, 2008 ‐ 2010

Annex 4.25 Coverage of Infants Basic Immunization by Province, 2010 Annex 4.26 Percentage of Children Age 12‐23 Months Getting Basic

Immunization by Province, Riskesdas 2010 Annex 4.27 Percentage of Children Age 12‐23 Months Getting Complete Basic

Immunization by Province, Riskesdas 2010 Annex 4.28 Drop Out Rate of Immunization Coverage DPT‐HB1 ‐ Measles in

Infants by Province, 2007 – 2010 Annex 4.29 Coverage of Students Immunization by Province, 2010 Annex 4.30 Coverage of Tetanus Toxoid Immunization in Pregnant Women by

Province, 2010 Annex 4.31 Percentage of Mother Getting Tetanus Toxoid Injection During

Last Children Pregnancy by Province, Riskesdas 2010 Annex 4.32 Coverage of Tetanus Toxoid Immunization in Productive Age

Women by Province, 2010 Annex 4.33 Coverage of Pulmonary TB AFB Positive, Healed, Complete

Medication and Succes Rate (After TB Medication Year 2009) by Province, 2010

Annex 4.34 Percentage of Tuberculosis Patient Had Finished Treatments with Anti Tuberculosis Drug by Province, Riskesdas 2010

Annex 4.35 Number of Underfives Pneumonia Cases by Province, 2010 Annex 4.36 Number of Inpatient Visit in Hospital by Province, 2010 Annex 4.37 Indicator of General Hospital Care of MOH and Local Government

by Province, 2008 ‐ 2010 Annex 4.38 Examination of Dental and Oral Health In Local Government and

Ministry of Health Public Hospital Services by Province, 2010 Annex 4.39 Jamkesmas (Community Health Insurance) Participant Visits in

Health Center, 2010 Annex 4.40 Number of Advance Level Outpatient (RJTL) Visit of Jamkesmas

Participants, 2010 Annex 4.41 Number of Advance Level Inpatient (RITL) Case of Jamkesmas

Participants, 2010 Annex 4.42 Recapitulation of Disaster by Type and Number of Victims, 2010 Annex 4.43 Percentage of Drug and Vaccine Availability in Indonesia, June

2011 Annex 4.44 Percentage of Drug and Vaccine Availability in Indonesia, June

2011

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Annex 5.1 Number of Health Center and Its Ratio to Population by Province, 2006 ‐ 2010

Annex 5.2 Number of Health Center with Bed and Health Center without Bed by Province, 2006 – 2010

Annex 5.3 Number of Hospital in Indonesia by Management and Province, 2010

Annex 5.4 Number of Hospital and Bed by Management, 2006 ‐ 2010 Annex 5.5 Number of General Hospital and Bed of MOH/Government

Ownership by Hospital Class and Province, 2010 Annex 5.6 Number of Specific Hospital and Bed by Type of Hospital, 2006 ‐

2010 Annex 5.7 Number of Bed in General Hospital and Specific Hospital by Bed

Class and Province, 2009 Annex 5.8 Number of Production Facility in Pharmaceutical and Medical

Device by Province, 2008‐2010 Annex 5.9 Number of Distribution Facility in Pharmaceuticals and Medical

Device by Province, 2008‐2010 Annex 5.10 Number of Health Effort Community Based (UKBM) by Province

In Indonesia, 2009 Annex 5.11 Number of Health Polytechnic Institution (Poltekkes) by Program

and Province, 2010 Annex 5.12 Number of Non Health Polytechnic Institution (NonPoltekkes) by

Study Program and Province, 2010 Annex 5.13 Number of Academic Field/Study Program of Health Polytechnic

(Poltekkes) by Accreditation and Strata, 2010 Annex 5.14 Number of Non Polytechnic Institution (NonPoltekkes) by

Accreditation and Strata, 2010 Annex 5.15 Number of Health Personnel Institution of Non‐Health Polytechnic

by Ownership, 2010 Annex 5.16 Recapitulation of Poltekkes Student by Type of Health

Personnelacademic Year 2010/2011 Annex 5.17 Recapitulation of Non Poltekkes Student by Type of Health

Personnel Academic Year 2010/2011 Annex 5.18 Recapitulation of Student of Diploma IV Program by Type of

Education Institution, 2007‐ 2009 Annex 5.19 Graduation of Diknakes Poltekkes and Non Poltekkes by Type of

Health Personnel, 2010 Annex 5.20 Number of Poltekkes Graduated by Academic Field/Study

Program from Health Personnel Institution in Indonesia Academic Year 2010/2011

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Annex 5.21 Recapitulation of Graduation from Non Poltekkes Institution in Indonesia by Type and Province Academic Year 2010/2011

Annex 5.22 Recapitulation of Health Manpower by Province, December 2010 Annex 5.23 Number of Human Resource in Health Center by Type and

Province, 2010 Annex 5.24 Ratio of Physician, Dentist, Nurse and Midwife to Number of

Health Center by Province, 2010 Annex 5.25 Recapitulation of Human Resource of Government Hospital by

Type and Province, 2010 Annex 5.26 Recapitulation of Physician as Active Non Permanent Employee,

2010 Annex 5.27 Recapitulation of Dentist As Active Non Permanent Employee,

2010 Annex 5.28 Recapitulation of Midwife As Active Non Permanent Employee,

2010 Annex 5.29 Recapitulation of Physician Recruitment As Active Non Permanent

Employee, 2010 Annex 5.30 Recapitulation of Dentist Recruitment As Active Non Permanent

Employee, 2010 Annex 5.31 Recapitulation of Midwife Recruitment As Active Non Permanent

Employee, 2010 Annex 5.32 Active Physician/Dentist As Non Permanent Employee in Ministry

of Health until December 2010 Annex 5.33 Recapitulation of Physician Recruitment As Non Permanent

Employee, 2010 Annex 5.34 Recapitulation of Dentist Recruitment As Non Permanent

Employee, 2010 Annex 5.35 Distribution of Involved Level from Health Education Institution

in Indonesia in Training and Education Institution, 2009 Annex 5.36 Distribution of Widyaiswara from Training and Education

Institution in Indonesia by Age Group, 2009 Annex 5.37 Distribution of Training Frequency and Number of Participants in

Health Training and Education In Indonesia by Type of Training and Education Institution, 2009

Annex 5.38 Allocation and Realization Ministry of Health by Echelon I, 2010 Annex 5.39 Data of Health Insurance Participant, 2010 Annex 5.40 Distribution of MOH Employee in Central Office, Technical

Implementation Unit and DPK/DPB Details by Education Strata in December, 2010

Annex 6.1 Demography in ASEAN and SEARO Member States, 2010

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Annex 6.2 Birth Rate, Mortality Rate and Human Development Index in ASEAN and SEARO Member States

Annex 6.3 Population Using Clean Water Source and Hygienic Sanitation Facilities in ASEAN and SEARO, 2008

Annex 6.4 Tuberculosis in ASEAN and SEARO States, 2008/2009 Annex 6.5 Estimation of HIV/AIDs in ASEAN and SEARO States, 2009 Annex 6.6 Number of Vaccine‐Preventable Diseases in ASEAN and SEARO

States, 2010 Annex 6.7 Basic Immunization to Infants in ASEAN and SEARO, 2009 Annex 6.8 Health Efforts in ASEAN and SEARO Member States, 2000‐2010 Annex 6.9 Health Expenditures in ASEAN and SEARO Member States, 2008

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Ministry of Health's vision is "Healthy Communities Independent and Justice", while Ministry of Health's missions to achieve that vision are explained as follows:

1. Improving the community health status, through community empowerment, including the private sector and civil society.

2. Protecting public health by ensuring the availability of health efforts which is plenary, equitable, quality, and equitable.

3. Ensure availability and equitable distribution of health resources. 4. Creating a good governance.

The vision and missions should be guided by the values of Ministry of Health as follows: 1) Pro People, 2) Inclusive, 3) Responsive, 4) Efficient, and 5) Clean. In the implementation of the Vision and Mission of the Ministry of Health, there is much needed data and information.

According to WHO, Subsystem of Information always be in the Health System to support other subsystems. Other subsystems may not be able to work without the support of the Health Information System. In the other hand, Health Information System may not work alone, but must be with the other subsystems. This is also reflected in National Health System 2009 (Ind: SKN 2009=Sistem Kesehatan Nasional), where there is a subsystem of Management and Health Information, which overshadow the development of Health Information Systems.

Law of the Republic of Indonesia Number 36 Year 2009 on Health, article 17 paragraph 1 states that the government is responsible for the availability of access to information, education, and health care facilities to improve and maintain health is highest. In addition, Article 168 states that to organize an effective and efficient health efforts there is needed health information system, which is done through information systems and through cooperation across sectors, with further provisions will be arranged by Government Regulation. While the government mentioned in Article 169 provides convenience to the public to obtain access to health information in an effort to improve community health status.

One output of the implementation of national health information system is the Indonesia Health Profile, which is relatively complete one packet presentation of health data/information, contains data/information on health status, health effort, health resources, and other relevant data/information, as well as published every

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year. In line with the preparation of Indonesia Health Profile, provincial health office have also been prepare provincial health profile, and district/municipality health office compose district/municipal health profile. In the future, utilizing technologies of information and communication are evolving rapidly, the preparation of the health profile is expected to be held in stages. Provincial health profile is arranged based on district/municipal health profile and health development results that held by the province, including the results of inter‐related sectors; and Indonesia Health Profile is organized by the provincial health profiles and the results of health development organized centers, including the results of cross‐cutting activities related to national level.

Indonesia Health Profile, provincial health profile, district/municipalicity health profile are expected to be important media to monitor and evaluate the results of the implementation of health development in the central and local levels. For the preparation of qualified health profile, which can be published faster, present data complete, accurate, consistent, and as needed into our collective expectations.

Indonesia Health Profile 2010 is based on data/information obtained from Indonesia regions of health office, program managers within the Ministry of Health, inter‐related sectors, as well as other source of data/information, including the agencies/institutions/ national and international health organizations.

Indonesia Health Profile 2010 consists of 6 (six) chapters, namely:

Chapter I ‐ Introduction. This chapter presents the publication background of Indonesia Health Profile 2010 and its systematic presentation.

Chapter II ‐ General Description and People Behavior. This chapter presents the general overview, including: demography, economy, and the physical environment; and people behavior related to health.

Chapter III ‐ Health Status Situation. This chapter contains a description of the various indikator health status, which includes about mortality, life expectancy, morbidity and nutritional status of the community.

Chapter IV ‐ Health Efforts Situation. This chapter contains a description of the objectives of health development programs in health. The picture of health efforts have been made include the achievement of basic health services, referral health care achievement, achievement of the prevention and eradication of disease, and efforts to improve nutrition.

Chapter V ‐ Health Resource Situation. This chapter describes the development of health sector resources until the year 2010. Picture of the resources situation includes on the state of health facilities, health personnel, and health financing.

Chapter VI ‐ Comparison of Indonesia with member countries of ASEAN and SEARO. This chapter presents a comparison of several indicators that includes data on

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population, birth rate, mortality rate, Human Development Index, tuberculosis data, the estimated number of HIV/AIDS, infectious disease cases are preventable by immunization, immunization coverage in infants and health efforts.

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Indonesia is a country located in Southeast Asia, geographically between two continents, Asia and Australia as well as between the Indian and Pacific Ocean. Astronomically Indonesia lies between North latitude line 6o to 11o South latitude lines, and 95o to 141o east longitude line that includes the circuit of the island from Sabang to Merauke. Thus, Indonesia is at a cross position, which have significance in relation to the economy.

Indonesia is the largest archipelagic country in Southeast Asia. According to data sourced from National Coordination Board of Survey and Mapping (Ind: Bakosurtanal), the number of islands in Indonesia were 17,504 islands. The number of islands including those in the estuary and the river, and river deltas. This strategic position has a very extremely influence on the cultural, social, political, and economic. This fact makes Indonesia has a diversity of cultures and customs with characteristics that differ from each other. Diversity in those various aspects are also associated with behavior in health aspect.

In 2010, Indonesia administrativelly is divided into 33 provinces, 497 districts (399 districts and 98 municipalities), 6,598 subdistricts and 75,638 villages. Distribution of administrative area in Indonesia in 2010 can be seen in Annex 2.1. In this chapter general description and behavior of Indonesia people in 2010 will be described which include: state of the population, economic situation, environmental conditions, and behaviors related to health. A. DEMOGRAPHIC SITUATION

According to the Population Census Year 2010, number of Indonesia population was 237,641,326 people, consisted of 119,630,913 males and 118,010,413 females (Annex 2.2). Comparing to Population Census Year 2000, number of population was 205,132,458 people, so that number of Indonesia population has increased about 32.5 million people with population growth rate per year 1.49%. Based on provincial level, population number has increased with various population growth rate. The lowest population growth rate 0.37% was in Central Java and the highest population growth rate 5.46% was in Papua.

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Population growth is the change in the number of population in a certain area at a given time than ever before. The rate of population growth is very useful to estimate the number of population in the future. Population growth rate in Indonesia has increased over the last 10 years, although the period of 20 years before the rate was smaller. The rate of population growth in Indonesia since the Population Census Year 1971 to Population Census Year 2010 can be seen in Annex 2.4.

GRAPH 2.1

POPULATION GROWTH RATE OF INDONESIA, 1971 2010 (% per Year)

Trend in population growth rate is presented in Graph 2.1. Population growth rate per year during 1971‐1980 at 2.31% and decreased sharply over a span of years 1990‐2000. Decrease in the rate of population growth is possible because of the success of family planning program, announced by the government at that time.

The results of population census in 2010 showed that the rate of population growth period from 2000 to 2010 of 1.49% per year, increased when compared with the population growth rate in 1990‐2000. The higher population growth rate led to a population that more and more in the future.

Based on the population growth rate as mentioned above, the population of Indonesia has increased more and more as seen in Graph 2.2. The results of population census in 2010 Indonesia's population reached 237,641,326 people, greatly increased when compared with 1990 and 2000. The increasing number of people in Indonesia who constantly if not controlled will bring unfavorable impact, among them the burden of development, including development in health.

Source: BPS-Statistics Indonesia, 2011

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GRAPH 2.2 TREND OF TOTAL POPULATION IN INDONESIA, 1961 2010

(in million)

Sex Ratio is the ratio of the number of male population per 100 female

population. Data on sex ratio is useful for the development of gender‐oriented development planning, especially in connection with the construction of the balance of men and women fairly.

Nationally, the sex ratio of population of Indonesia in 2010 was 101, which means the male population of one percent more than the population of women. This value means that every 100 females there were 101 males. The highest sex ratios was in the province of Papua that was 113 and the smallest found in West Nusa Tenggara that was 94. Graph 2.3 presents the trend of the national sex ratio since the Population Census 1961 to Population Census 2010.

GRAPH 2.3 SEX RATIO TREND OF INDONESIA POPULATION

1961 – 2010



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Age structure of population by sex can be depicted graphically in the form of the population pyramid. The basis of population pyramid shows the total population. Left part of the population pyramid body shows the number of male population and right part of the population pyramid body shows the number of female population by age group. Pyramid is a picture of the structure of the population consisting of young population structure, adult, and elderly. This population structure is the basis for population policy, social, cultural, and economic.

GRAPH 2.4 PYRAMID OF INDONESIA POPULATION, 2010

(in million)

Graph 2.4 shows that the structure of the population in Indonesia includes a young population structure. This can be seen from the large number of young people (0‐14 years), although the number of births has decreased when compared with five years ago and life expectancy is increasing which is marked by the increasing number of elderly. Pyramid body sweld, it indicates the number of working‐age population, especially in the age group 25‐29 years, both men and women.

Based on population distribution by sex and age group we can obtain a description of the population pyramid of Indonesia since the implementation of the Population Census 1961 to the Population Census in 2010. Indonesia's population pyramid is presented in Graph 2.5.


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GRAPH 2.5 PYRAMID OF INDONESIA POPULATION, 1961 – 2010

(in million)

Pyramid Year 1961, 1971 and 1980 shows a conical pyramid. Base of the pyramid shape is widened with a sharp peak. This indicated high fertility, high mortality and life expectancy was still low. Number of babies born to live to old age was still low. Pyramid Year 1990 began to show differences, number of births began to decline and number of elderly population began to increase. This shows the increasing life expectancy and the proportion of people who were born to live to old age is increasing.

Pyramid Year 1990 and 2000 has very different shape than the shape of the pyramid Year 1961 and 1971. Base of the pyramid narrows, which means that number of births decreased. Top of the pyramid widens, which means that the level of life expectancy for population and life expectancy for babies born up to age 75 years was higher or greater. Age structure was still at a young age. This makes the challenge for the government for the provision of educational services, health and employment increases.

Nationally, with the total area of Indonesia 1,910,931.32 km2 so the population density in 2010 was 124 people per km2. Level of high density was still dominated by provinces in Java island. Province has the highest population density was DKI Jakarta, which were 14,440 people per km2. West Java Province was a region which had the second highest population density with a density of 1,216 people per


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km2. Provinces with the highest level of third density was DI Yogyakarta by 1,102 people per km2. The lowest population density in West Papua, which were only 8 people per km2. Papua was a province with the second lowest population density that were equal to 9 people per km2, then followed by Central Kalimantan with a density of 14 people per km2. The population and population density by province in 2010 can be seen in Annex 2.5

GRAPH 2.6 PERCENTAGE OF AREA AND DISTRIBUTION OF INDONESIA POPULATION

BY BIG ISLANDS GROUPS, 2010


Related problems faced by the population distribution in Indonesia is

geographically the spread or the uneven distribution of population between Java and outside Java. From the data on population distribution according to the island of Graph 2.6 is known there are real disparities among the population distribution among islands. The phenomenon of uneven distribution of the population is still a feature of demographic Indonesia. On the Island of Java, which has geographical area 7%, it had 58% of the total population. Sumatra Island which cover 25% of total area, there is 21% of the total popultion, Borneo Island (Kalimantan) which covers 28% of total area contained only 6% of the total population, Sulawesi Island which covers 10% of total area contained 7% of the total population, other islands (Nusa Tenggara, Maluku and Papua) which covers 30% of total area contained 8% of the total population.

Essential indicator related to population distribution by age which is often used to determine the productivity of the population is Dependency Ratio. Dependency Ratio is a number that states the comparison between the number of people who are not productive (age below 15 years and over 65 years) with many people including the productive age (aged 15‐64 years). In general, comparison of

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proportion shows the dynamics of dependency ratio between nonproductive age to productive age. The higher dependency ratio, the higher the number of nonproductive population were covered by population of productive age.

TABLE 2.1 POPULATION NUMBER AND DEPENDENCY RATIO BY SEX AND PRODUCTIVE AGE GROUP (AGE 1564)

AND NON PRODUCTIVE (AGE 014 AND >65) IN INDONESIA, 2010

No Age Male Female Male + Female %

1 Age 0 – 14 35,288,970 33,307,750 68,596,720 28.87

2 Age 15 – 64 78,935,732 78,046,486 156,982,218 66.05

3 Age > 65 5,361,028 6,619,670 11,980,698 5.04

4 Unknown 42,183 36,507 81,690 0.03 Total 119,630,913 118,010,413 237,641,326 100.00

Dependency Ratio (%) 51.50 51.16 51.33 Source: BPS-Statistics Indonesia, 2011

Composition of Indonesia's population by age group is shown by Table 2.1 that is young population (0‐14 years) of 28.87%, productive age (15‐64 years) of 66.05%, old age and elderly (≥ 65 years) of 5.04%. Thus, number of dependency ratio of Indonesia's population in 2010 amounted to 51.33%. This means that 100 people in Indonesia who were still productive will bear 51 people who have not/no longer productive. When compared between sexes, then number of dependency ratio of male slightly larger when compared with dependency ratio of females, ie 51.50% for males and 51.16% for females.

Graph 2.7 shows dependency ratio in 2010 was nationally 51.33%. Provinces with the highest dependency ratio were East Nusa Tenggara (73.23%), Maluku (67.20%) and West Sulawesi (67%). Provinces with the lowest dependency ratio were DKI Jakarta (36.95%), Riau Island (45.72%) and DI Yogyakarta (46%).

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GRAPH 2.7

DEPENDENCY RATIO BY PROVINCE IN INDONESIA, 2010


Details of population by age group, dependency ratio and province in 2010 can

be seen in Annex 2.6.

B. ECONOMY SITUATION

Economic condition is one aspect that is measured in determining the success of a country's development. Indonesia's economy grew during the years 2006‐2010 for each in the amount of 5.5% (2006), 6.3% (2007), 6.0% (2008), 4.5% (2009), and 6.1% (2010).

With the economic growth of 6.1% in 2010, the value of Gross Domestic Product (GDP) in 2010 rose by Rp 809.5 trillion. From Rp 5,613.4 trillion in 2009 to Rp 6,422.9 trillion in 2010. The highest growth occurred in transportation and communications sector, in the amount of 13.5%. The lowest growth occurred in the agricultural sector by 2.9%. While non‐oil GDP grew 6.6%.

Economic growth is closely related to the work force and employment opportunities in Indonesia. Any discussion of economic conditions need to be accompanied by a discussion of work force and employment opportunities. According to the National Work Force Survey (Ind: Sakernas), Work Force is the operational definition of working age population who work or have a job but temporarily not working. and unemployed. While Working by Sakernas definition is economic activity

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undertaken by someone with the intention of obtaining or aiding to obtain revenue or profits, at least one hour (uninterrupted) in the past week. The activity also includes activities that unpaid workers to help in a business or economic activity.

Proportion of open unemployment of work force is useful to be benchmark for the government in opening new jobs in the future. This figure also shows the success rate of manpower development program from year to year. Based on the publication of data on the results of Sakernas Years 2008‐2010 by BPS Statictics Indonesia there was a decline in unemployment. This is due to increased employment in the sector of social services such as carpentry services, domestic service, transportation and agriculture. Development of work force, employed population and unemployed (number and percentage) in the period of February 2008 ‐ February 2010 are presented in Table 2.2.

TABLE 2.2 DESCRIPTION OF WORK FORCES NUMBER, WORKING PEOPLE AND OPEN UNEMPLOYMENT IN INDONESIA, 2008 – 2010

Feb 2008 (million people)



Number of work forces 111.48 113.74 115.99

Number of working people 102.05 104.49 107.41

Open unemployment 9.43 9.26 8.59

Percentage of open unemployment (%) 8.46 8.14 7.40 Source: BPS-Statistics Indonesia. 2011, National Work Force Survey (Ind: SAKERNAS) 2008‐2010

Table 2.2 shows the increasing number of workforce and working population.

Increasing in population has led to an increase in total work force. The increasing number of work forces causes limited employment opportunities due to fewer jobs. Growth of job demand is slower than work force growth. This has led to the emergence of open unemployment is quite high. The good news is the decline in the number of open unemployment from year to year, although unemployment is still high.

Interesting discussion about unemployment is unemployment by educational level. In Graph 2.8 can be shown that highest unemployment was the people who graduated at the high school level with percetange of 40.20%. The second highest unemployment existed in the population with junior high education level of 19.97%. The third highest unemployment rate was the population with elementary education level of 16,86%. While the unemployment at university education level was 8.54%.

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GRAPH 2.8 PERCENTAGE OF UNEMPLOYMENT LEVEL BY EDUCATION

IN INDONESIA, 2010


Economic development is expected to encourage progress, physically, socially, mentally and spiritually in all over the country, especially in areas where are classified as underdeveloped areas. An area is considered to be underdeveloped region due to several factors, namely: geography, natural resources, human resources, infrastructure and facilities, disaster‐prone areas and social conflict, and development policies. Limitations of infrastructure on various areas including public health makes people in underdeveloped areas find it difficult to run economic and social activity.

The smallest unit used in the disadvantaged areas of the National Strategy to Accelerate Development of Disadvantaged Regions (National Strategy of PPDT) is the area of the district administration. By definition, disadvantaged areas are districts that are relatively less developed than other areas in the national scale and a population of relatively backward. Determination of criteria developed areas is done by using an approach based on the calculation of the six basic criteria, namely: economy, society, human resources, infrastructure, the ability of local finance (fiscal gap), accessibility and regional characteristics, as well as by district located in the hinterland, islands (small islands and island groups), the borders between countries, disaster‐prone areas and areas prone to conflict and large parts of coastal areas.

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GRAPH 2.9 PROVINCES WITH PERCENTACE OF UNDERDEVELOPED DISTRICTS

IN INDONESIA, 2010

Under that approach, then set 183 districts were categorized with underdeveloped districts. Currently Indonesia has 19 border districts, 33 small islands and 183 outer populated islands areas (including remote). In 2010 the percentage of disadvantaged areas was 36.8% (of 497 districts/municipalities) located in 27 provinces. Province with the highest percentage of the highest number of underdeveloped districts was in West Sulawesi, amounting to 100%, followed by East Nusa Tenggara Papua 65.2% and 93.1%. The number and percentage of districts lagging behind by province can be seen in Annex 2.7.

Based on the underdeveloped areas, there have been drawn up some priorities in bordered districts and outer small islands in Indonesia by the Ministry of Underdeveloped Area Development, Republic of Indonesia. There were 38 districts included in the priorities and the very priorities that were spread across 9 provinces in Indonesia.

Source: National Strategy to Accelerate Development of Disadvantaged Regions (National Strategy of PPDT) Year 2004-2009

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TABLE 2.3 NUMBER OF UNDERDEVELOPED DISTRICTS AND HEALTH CENTERS

IN REMOTE, BORDER, ISLAND AREA (Ind: “DTPK”) IN INDONESIA. 2010

Area Number of Districts

Districts Health Centers

Under developed

%

Health Center

Health Center “DTPK”

%

Sumatera 151 46 30.5 1,946 862 44.0

Java, Bali 127 9 7.1 3,524 500 14.0

Kalimantan 55 16 29.1 764 275 36.0

Sulawesi 73 34 46.6 911 590 65.0

Papua, Maluku, NTT, NTB 91 78 85.7 870 787 90.0

Total 497 183 36.8 8,015 3,014 37.6

Source: DG of Community Health Care, MoH, 2010

Table 2.3 shows number of underdeveloped districts and type of health

centers in Indonesia in 2010. The highest percentage of area to the underdeveloped district was Papua, Maluku, East Nusa Tenggara, West Nusa Tenggara with the percentage reached 82.4%. The smallest number of underdeveloped districts were located in Java and Bali by the percentage of 14.4%, island of Borneo and Sumatra had underdeveloped district percentage by 40% and 4%. National average of underdeveloped districts in Indonesia was 43.5%. The amount was still quite large and uneven spreading indicate imbalance in the development program. More details are presented in Annex 2.8.

Poverty is also a major obstacle in fulfilling the needs of a healthy food so that it can weaken the immune system that could affect susceptibility to developing certain diseases. The phenomenon of poor nutrition and less often associated with poor economic conditions if it refers to the fact that compliance with the limitations of food can lead to malnutrition, kwashiorkor, vitamin deficiency diseases such as Xeropthalmia, Scorbut, and Beriberi.

Poverty is understood as an economic inability to meet basic needs of population and non‐food meals are measured from the expenditure. Poverty measurement is done by setting the value of the minimum requirement standard for both food and non food that must be met for someone to live decent lives. The standard value is used as a dividing line/minimum requirement to separate between poor and nonpoor. The dividing line is often called the poverty line. Poverty line per province in Indonesia is presented in Annex 2.9.

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GRAPH 2.10 PERCENTAGE OF POOR PEOPLE IN INDONESIA, 2006 – 2010

Poor category are those with levels of per capita expenditure of Rp 211.726 per month or about USD 7.000 per day. This number increased in 2009 compared to poor category as of March which was recorded at Rp 200.262 per capita per month. Method of calculation was done with the concept of poverty ability to meet basic needs. In March 2010, the number of poor dropped to 31.2 million (13.3%) from 32.53 million (14.15%) of poor people in March 2009. This suggests that a decline in 1.51 million poor people. The percentage of poor population from the year 2008‐2010 are presented in Table 2.4.

TABLE 2.4 DISTRIBUTION AND PROPORTION OF POOR PEOPLE BY BIG ISLANDS GROUPS IN INDONESIA, 2008 – 2010

Big Islands Groups March 2008 March 2009 March 2010

Total (million)

% Total

(million) %

Total (million)

%

Sumatera 7.3 20.9 5.3 17.3 6.7 21.4

Java 19.9 57.1 18.1 59.1 17.3 55.8

Kalimantan 2.4 6.8 2.2 7.3 2.2 7.1

Bali and Nusa Tenggara 1.2 3.5 1.0 3.3 1.0 3.3

Sulawesi 2.6 7.5 2.5 8.1 2.3 7.6

Maluku and Papua 1.5 4.2 1.5 4.9 1.5 4.8

Total 34.9 100.0 32.5 100.0 31.0 100.0

Source: BPS-Statistics Indonesia, Analisis dan Penghitungan Tingkat Kemiskinan Tahun 2010 Berita Resmi Statistik, BPS 2008, No. 45/07/Th. XIII, 1 Juli 2010

Source: BPS-Statistics Indonesia, Analisis dan Penghitungan Tingkat Kemiskinan Tahun 2010 Berita Resmi Statistik, BPS 2008, No. 45/07/Th. XIII, 1 Juli 2010

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Based on data of number of poor people by province of BPS‐Statistics Indonesia (Annex 2.10) there was significantly uneven distribution of poor people between inter‐islands in real difference. The number and proportion of poor people according to the island can be seen in Table 2.4. More than half of poor people in Indonesia were on the island of Java, namely 57.1% in 2008 and to 55.8% in 2010. The rest 21.4% were scattered in Sumatra, Sulawesi 7.6%, Kalimantan 3.3%, Bali and Nusa Tenggara Islands 7.1%, Maluku and Papua 4.8% (year 2010). The percentage of poor population by province in 2010 is described in the Graph 2.10 below.

GRAPH 2.11

PERCENTAGE OF POOR PEOPLE IN INDONESIA, 2010

Source: BPS-Statistics Indonesia

In the roadmap of public health reform the Ministry of Health there are 7

priorities to be done to achieve the strategic objectives of health development. One of them is addressing the issue of health care in Problematic Area of Health (Ind: DBK) with specific approaches that can not be equated with other regions. Response of Problematic Area of Health (Ind: PDBK) is a focused health efforts, integrated, evidence‐based, carried out gradually in the region which is be a priority with relevant ministries, in a certain period of time, to be able to organize independently of government authority in the health field as wide as possible.

By definition, the Problematic Area of Health (DBK) is a state/level of health districts/municipalities which is illustrated by the results of Riskesdas/SUSENAS with Community Health Development Index (Ind: IPKM), according to the Ministry of Underdeveloped Area Development, Human Development Index (HDI) and the Poverty Index (Socio‐Economic Data Collection/PSE CPM).

Results of Riskesdas 2007 produced instruments measurement of Community Health Development Index (IPKM). With IPKM, it is known where the problematic areas can be mapped based on the ranking of districts/municipalities. Areas that have

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IPKM <0337 is Problematic Area of Health (DBK). Value of IPKM each district/municipality formulated based on 20 health indicators.

TABLE 2.5 NUMBER OF DISTRICTS/MUNICIPALITIES OF PROBLEMATIC AREA OF HEALTH

IN INDONESIA, 2010

District/Municipality Severe Severe, Border

Severe, Underdeveloped


and Outer Islands


and Border Total

Districts 14 1 71 7 5 98

Municipalities 18 1 0 0 0 19

Total 32 2 71 7 5 117

Total Population 37,741,501

Source: DG of Community Health Care, MoH, 2010 Based on several criteria set out above, from 440 districts/municipalities that

became the implementation of Riskesdas 2007, there were 117 DBK located in 22 provinces. Three provinces have a number of districts/municipalities DBK most of Aceh (16 districts/municipalities), Papua (15 districts/municipalities) and East Nusa Tenggara (12 districts/municipalities). Districts/municipalities covering 32 DBK, 2 DBK and border, 71 DBK, severe and underdeveloped, 7 DBK, severe, and underdeveloped and border and 5 DBK severe, underdeveloped and border as seen in Table 2.5.

C. ENVIRONMENTAL HEALTH SITUATION

Environment is one of the variables that often receive special attention in assessing the condition of public health. Along with behavioral factors, health care and genetics, the environment determines whether the poor level of public health.

To illustrate the situation of the environment, it will be presented indicators such as: access to clean water and safe drinking water, access to basic sanitation, and healthy house.

1. Clean Water Facilities and Safe Drinking Water Access

Nationally, 90% of physical quality of drinking water in Indonesia included in either category (not turbid, colorless, tasteless and odorless). However, there was still households with turbid drinking water quality (6.9%), color (4.0%), taste (3.4%), foaming (1.2%), and smell (2.7%).

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GRAPH 2.12 PERCENTAGE OF HOUSEHOLD BY PHYSICAL QUALITY OF DRINKING WATER

IN INDONESIA, 2010

Source: Riskesdas, National Board of Health Research and Development, 2010

Graph 2.11 shows the percentage of households with better physical quality of

drinking water. Province with the percentage of households with the highest physical quality of drinking water was in Bali (95.7%). While the lowest was in Papua (69.0%). In detail by province is presented in Annex 2.11.

Result of Basic Health Research (RISKESDAS) in 2010 shows the percentage of families by type of water supply that used for domestic purposes and for drinking water purposes. Nationally, the highest percentage of different types of water use for domestic purposes was protected dug well water (27.9%), drill well/pumps (22.2%), and tap water/PAM (19.5%). While the highest percentage of kind of clean water used for drinking water was protected dug wells (24.7%), tap water/PAM (14.2%), and drill wells/pumps (14%). Details of the percentage of families by type of clean water used for household and drinking water can be seen in Annex 2.12 and Annex 2.13.

Description about percentage of households with good access to quality drinking water by province can be seen in Graph 2.12. Nationally, 67.5% of households already had good access to drinking water quality.

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GRAPH 2.13 PERCENTAGE OF HOUSEHOLD BY GOOD ACCESS

TO QUALIFIED DRINKING WATER IN INDONESIA, 2010


Most households in Indonesia have easy access to drinking water. Percentage

of households claimed to easy to get clean water by 81.70%, 17.8% of households was difficult to get clean water during dry season, and only 0.5% of households that were difficult (all year) to get clean water. Ease of households in obtaining clean water by province can be seen in detail in Annex 2.15.

2. Facilities and Access of Basic Sanitation

Clean water and good sanitation are important elements that support human health. Sanitation is related with environmental health that affect community health status. Basic Health Research (Riskesdas) in 2010 produced percentage of families data with basic sanitation facilities. Nationally, the highest percentage of families with access to basic sanitation facilities was the ownership of defecation facility (69.7%), percentage of households by access to excreta disposal in accordance MDGs (55.5%), and the percentage of households who handle waste properly (28.7%).

Graph 2.14 shows the percentage of households by using of self‐owned defecation facility by province.

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GRAPH 2.14 PERCENTAGE OF HOUSEHOLD BY USING OF SELFOWNED DEFECATION FACILITY

IN INDONESIA, 2010


Provinces with the highest percentage of households using of self‐owned defecation facility by province were Riau (84.3%), Lampung (80.4%), and Bangka Belitung Island (79%). While the lowest was in Province of Gorontalo (32.1%), Central Kalimantan (49.4%), and North Maluku (49.6%). Details by province can be seen in Annex 2.17.

According to the type of water closet that is used, most households in Indonesia used the goose neck closet type, it was 77.58%, cemplung/cubluk of 14.32%, and plengsengan of 6.37%. Much as 59.3% of households in Indonesia used septic tanks as a place of final disposal of feces, 16.4% in landfill river/pond, and by 11.7% in the hole of waste land. Details of the percentage of households with basic and healthy sanitation facilities ownership by province can be seen in Annex 2.18, Annex 2.19, Annex 2.20, and Annex 2.21.

3. Healthy House

House is basically a shelter that is very important for the life of every person. The house not only serves as a place to take a rest after working all day, but it also has an important function as a place to build a healthy family life and prosperous. Criteria for a healthy house based on Basic Health Research (Riskesdas) 2010 is if it meets the seven criteria, namely roof ceiling, permanent walls, floors of non‐soil types, windows, adequate ventilation, adequate natural lighting, and not densely occupied (> = 8 m2/person).

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GRAPH 2.15 PERCENTAGE OF HOUSEHOLD BY HEALTHY HOUSE CRITERIA

IN INDONESIA, 2010


Results of Riskesdas in 2010 stated that the percentage of households nationwide that had a healthy house was only 24.9%. Graph 2.15 graph shows the provinces with highest percentage of healthy house were East Kalimantan (43.6%), Riau Island (42.7%) and Riau (41.1%). Provinces with the lowest percentage of healthy house were East Nusa Tenggara (7.5%), Lampung (14.1%) and Central Sulawesi (16.1%). Percentage of healthy house by province is presented in Annex 2.22.

D. PEOPLE BEHAVIOR SITUATION

To describe the state of people behavior that affect health, it will be presented several indicators of smoking behavior, waste handling, the woman's age at first marriage and number of children ever born.

1. Smoking Behavior

Smoking is a problem that can not be resolved until today. Smoking has already hit all walks of society in Indonesia, both children to the elderly, men and women. One of targets of healthy behavior programs and community empowerment is the reduced prevalence of current smokers and tobacco‐free healthy growing environment in schools, workplaces and public places.

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GRAPH 2.16 PERCENTAGE OF PEOPLE AGE ≥ 15 YEARS WHO HAD SMOKING BEHAVIOR

IN INDONESIA, 2010


Graph 2.16 shows the results of Riskesdas 2010 on the smoking behavior of the population. Nationally, the percentage of the population aged > 15 years who smoked was 34.7%, comprising 28.2% daily smokers and 6.5% occasional smokers. The highest percentage of the population > 15 years of smoking (daily and occasional) were located in Province of Central Kalimantan (43.2%), East Nusa Tenggara (41.2%), and North Maluku (40.8%). While the lowest percentage were in Southeast Sulawesi (28.3%), South Kalimantan (05.30%), and Jakarta (30.8%). Percentage of population > 15 years of smoking by province is presented in Annex 2.23.

Nationally, based on the results of Riskesdas 2010, the largest percentage by age group was the first smoking at age 15‐19 years, in amount of 43.3%, then the age group 10‐14 years (17.5%), and the age group 20‐24 years (14.6 %). Among smokers, as much as 1.7% the first time smoking at age 5‐9 years. This condition indicates that the average population of Indonesia has been smoking cigarettes/chewing tobacco at a young age. This is also supported by the easy access of Indonesia to obtain cigarettes or tobacco. Breakdown by province is shown in Annex 2.24.

2. Waste Handling

Riskesdas 2010 also collected data on waste handling. Waste handling is good if garbage in householdis taken by dustman, composted, or buried in soil. Category if the household is not good in managing waste burned, dumped into the river, or

29

carelessly. Percentage of households with the criteria of good waste handling can be seen at Graph 2.17.

GRAPH 2.17

PERCENTAGE OF HOUSEHOLD BY GOOD WASTE HANDLING IN INDONESIA, 2010


Nationally, household in waste handling with good criteria was still low at only 28.7%. Provinces with the highest percentage were DKI Jakarta, in amount of 84.3%, Riau Island 48.1%, and East Kalimantan 47.2%. The lowest percentages were in Province of Gorontalo at 6.0%, West Kalimantan 10.5%, and East Nusa Tenggara 11.7%.

3. Woman’s Age of First Marriage

Woman’s age at first marriage is the age when woman gets marriage legally and biologically the first time. Woman who marry at a very young age have a greater risk to the safety of mother and child. This is due to immaturity of the young age of the woman's uterus for childbirth.

Nationally, as shown in Graph 2.18, from women age 10‐59 years who had been married, in amount of 41.9% of them were married at first time at age 15‐19 years, then 33.6% of them were married at age 20‐24. This indicates the low age at first marriage of women in Indonesia. The average age at first marriage of women occurred at age 20. The highest average age of woman first marriage was in Province of Riau Island, namely age of 22.2 years and the lowest average age at first marriage were in Province of Central Kalimantan and South Kalimantan, namely age of 19 years.

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GRAPH 2.18 PERCENTAGE OF WOMEN AGE 1059 YEARS WHO HAD BEEN MARRIED

BY AGE OF FIRST MARRIAGE IN INDONESIA, 2010

Percentage of women aged 10‐59 years who had married by age at first marriage by province can be seen in Annex 2.26.

4. Number of Children Birth

One major factor in the growth of the population is birth. The greater the number of births the population growth will be even greater. Graph 2.19 shows the results of Riskesdas 2010 regarding the percentage of women who had been married according to the number of children ever born. In amount of 56.1% by number of children ever born for 1‐2 children and 29.9% with the number of children ever born children 3‐4 children. There was still obtained at 3.4% with children ever born amounted to 7 children or more. While that woman had not/did not have children the percentage was very low, only 2.2%.


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GRAPH 2.19 PERCENTAGE OF WOMEN AGE 1059 YEARS WHO HAD BEEN MARRIED

BY NUMBER OF CHILDREN BIRTHS IN INDONESIA, 2010


Condition in all provinces throughout Indonesia shows that relatively the same case. Most households had 1‐2 children with the highest percentage occurred in East Java 68.1% and Yogyakarta 67.7%. The lowest percentage was in East Nusa Tenggara (35.6%). Details by province can be seen in Annex 2.27.

***

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There are several indicators used on evaluating public health status. Those indicators are related to morbidity, mortality, and nutritional status. Chapter III descirbes public health status through Infant Mortality Rate (IMR), Underfive Mortality Rate (UMR), Maternal Mortality Rate (MMR), and morbidity of diseases.

Public health status can be determined by many factors. It is not only influenced by health sector such as health care, furthermore economic, educational, and social factors also contribute to public health status. A. MORTALITY

Mortality may describe number of death cases and case fatality rate of disases during certain period of time at certain place. Mortality situation can be represented as mortality rate. Mortality rate described on this chapter are IMR, UMR, MMR, and Crude Death Rate. 1. Infant Mortality Rate (IMR)

IMR can be defined as number of infants died before reach 1 year of age stated on 1,000 live births on the same year. Health programs are implemented in order to decrease IMR.

Based on Indonesia Demography Health Survey (IDHS), IMR has shown declining trend since 1991. IMR on 1991 was 68 per 1,000 live births. The number then decreased to 34 per 1,000 live births in 2007. Estimation of IMR calculated IMR on previous 5 years before survey. It means that IMR based on IDHS 2007 represents IMR on 2003‐2007.

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GRAPH 3.1 ESTIMATION OF INFANT MORTALITY RATE PER 1,000 LIVE BIRTHS

IN 19912007

Source: Statistics Indonesia, Indonesia Demographic Health Survey, 2007

Many factors may contribute to IMR decrease such as improvement on health care. Economic improvement can also influence IMR. It is indicated through income increase leading to improvement of nutritional status and immune system.

GRAPH 3.2 ESTIMATION OF INFANT MORTALITY RATE PER 1,000 LIVE BIRTHS

BY PROVINCE IN INDONESIA, 2007

Source: Statistics Indonesia, Indonesia Demographic Health Survey, 2007

IDHS on 2007 indicated that province having lowest IMR was DI Yogyakarta with 19 per 1,000 live births, followed by Aceh with 25 per 1,000 live live births, East Kalimantan, and Central Java with 26 per 1,000 live births. Meanwhile the highest IMR was West Sulawesi with 74 per 1,000 live births, followed by West Nusa Tenggara with 72 per 1,000 live births and Central Sulawesi with 60 per 1,000 live births. More information concerning to IMR can be seen on Annex 3.1.

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2. Underfive Mortality Rate (UMR)

Underfive Mortality Rate describes children who died before 5 years representing probability of death on the period between birth and 5 years old. Millenium Development Goals (MDGs) classifies UMR per 1,000 live births into 4 normative intervals i.e very high, high, medium, and low. UMR with more than 140 defined as very high, UMR on range 71‐140 defined as high, UMR on range 20‐70 defined as medium, and UMR under 20 defined as low. The IDHS, 2007 estimated UMR in Indonesia at 44 per per 1,000 live births. It represents condition from 2003 to 2007.

GRAPH 3.3 UNDERFIVE MORTALITY RATE PER 1,000 LIVE BIRTHS

IN INDONESIA IN 1991 – 2007

Source: Statistics Indonesia, 2008

Estimation of UMR at province level indicates that DI Yogyakarta has lowest UMR of 22 per 1,000 live births, followed by Central Java of 32 per 1,000 live births and Central Kalimantan of 34 per 1,000 live births. Meanwhile province with highest UMR was West Sulawesi of 96 per 1,000 live births, followed by Maluku of 93 per 1,000 live births and West Nusa Tenggara of 92 per 1,000 live births. The following graph describes UMR by province in 2007.

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GRAPH 3.4 ESTIMATION OF UNDERFIVE MORTALITY RATE PER 1,000 LIVE BIRTHS


Source : Statistics Indonesia, Indonesia Demographic Health Survey, 2007

3. Maternal Mortality Rate (MMR)

Maternal Mortality Rate (MMR) is one of significant indicators on determining public health status. The indicator describes number of women who died due to pregnancy, delivery, and post partum (42 days after delivery) without considering duration of pregnancy per 100,000 live births.

MMR can be influenced by health status, education, ante natal care, and post natal care. Sensitivity of MMR on measuring health care improvement making it as one of indicator using to assess health development.

The IDHS in 2007 indicated that IMR during 5 years before survey is 228 per 100,000 live births. It is lower than IMR based on IDHS in 2003 of 307 per 100,000 live births. The following Graph 3.5 describes declining trend of MMR in 1994‐2007.

GRAPH 3.5 MATERNAL MORTALITY RATE (PER 100,000 LIVE BIRTHS)

IN INDONESIA, 19942007

Source : Statistics Indonesia, 2008

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4. Crude Death Rate

Crude Death Rate describes number of deaths on certain place and time per 1,000 population on the mid year. Based on Intercensal Survey, 2005 (SUPAS 2005), Crude Death Rate in 2007 was 6,9 per 1,000 population.

5. Life Expectancy at Birth (Eo)

Public health status can be measured through Life Expectancy at Birth (Eo). Life Expectancy at Birth is also one of significant factors on formulating Human Development Index (HDI). Life Expectancy at Birth in Indonesia showed rising trend in 2006‐2008.

Based on Statistics‐Indonesia, Eo in 2006 was 68.5 year. It rose to 68.7 year in 2007 and 69 year in 2008. It continued rising to 69.21 in 2009. Province with highest Eo in 2009 was DI Yogyakarta of 73.16 year, followed by DKI Jakarta of 73.05 year and North Sulawesi of 72.12 year. Meanwhile province with lowest Eo in 2009 was West Nusa Tenggara of 61.8 year, followed by South Kalimantan 63.45 year and Banten of 64.75 year. More details about Eo by province in 2009 are on Annex 3.2.

GRAPH 3.6 LIFE EXPECTANCY AT BIRTH


Source : Statistics Indonesia, 2010

Life expectancy at birth is significant on formulating Human Development Index, HDI by porovince in 2009 are described on the graph as follows based on Statistics Indonesia‐Statistics Indonesia Report.

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GRAPH 3.7

HUMAN DEVELOPMENT INDEX BY PROVINCE IN INDONESIA, 2009

Source: Statistics Indonesia, 2010

According to above graph, DKI Jakarta was province with highest HDI, followed by North Sulawesi, and Riau. Meanwhile province with lowest HDI was Papua, followed by West Nusa Tenggara, and East Nusa Tenggara.

B. MORBIDITY

Morbidity can be indicated through as incidence or prevalence of disease. Those may describe event of disease on certain population and time period. The indicators are significant to assess public health status.

1. 10 Main Disesases in Hospital

Ten main diseases on hospital inpatients based on Basic Tabulation List, showed that Diarrhea and gastroenteritis by certain infection (colitic infection) had highest cases of 71,889 cases. More description of 10 main diseases on hospital inpatients are on Table 3.1 as follows.

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TABEL 3.1 10 MAIN DISEASES ON HOSPITAL INPATIENS

IN INDONESIA, 2010

No Basic Tabulation List Cases Numbber of

Released Patient

Deaths CFR (%) Males Females

1 Diarrhea & gastroenteritis by certain infection (infection colitic)

37,281 34,608 71,889 1,289 1.79

2 Dengue Haemorrhagic Fever (DHF) 30,232 28,883 59,115 325 0.55

3 Typhoid and paratyphoid fever 19,706 21,375 41,081 274 0.67

4 Penyulit kehamilan dan persalinan lainnya 0 40,636 40,636 276 0.68

5 Dispeptia 9,594 15,122 24,716 166 0.67

6 Cedera YDT lainnya YTT dan daerah badan Multipel 14,405 7,328 21,733 605 2.78

7 Esseential Hypertension (primary) 8,423 11,451 19,874 955 4.81

8 Intracranial injury 12,010 7,371 19,381 1,025 5.29

9 Other acute upper respiratory infection 9,737 8,181 17,918 589 3.29

10 Pneumonie 9,340 7,971 17,311 1,315 7.60

Source: DG of Health Efforts, Ministry of Health RI, 2011

Above tabel indicates that highest CFR among 10 main diseases in hospital inpatients is pneumonie of 7.6%, followed by intracranial injury of 5.29% and essential hypertension (primary) of 4.81%.

Meanwhile, 10 main diseases on hospital outpatients indicated that other upper acute respiratory infections had highest number of 291,356 cases. The following table provides data of 10 main diseases on hospital inpatients in 2010.

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TABLE 3.2

10 MAIN DISEASES ON HOSPITAL INPATIENTS IN INDONESIA, 2010

No Basic Tabulation List Cases

New Cases

Visits Males Females

1 Other upper acute repiratory infections 147,410 143,946 291,356 433,354

2 Cedera YDT lainnya YTT dan daerah badan Multipel 77,337 49,739 127,076 168,768

3 Dermatitis and other subcutaneos diseases 48,576 73,500 122,076 192,414

4 Refraction and accomodation disorder 42,349 69,164 111,513 143,404

5 Diarrhea & gastroenteritis by certain infection (colitis infection)

53,389 51,890 105,279 141,556

6 Dispeptia 34,981 53,618 88,599 163,428

7 Disease of pulpa and periapical 39,427 46,994 86,421 163,211

8 Essential Hypertension (primary) 35,462 45,153 80,615 277,846

9 Conjungtivitis and other conjungtiva disorders 30,250 37,776 68,026 87,513

10 Disease of ear and prosesus mastoid 30,583 30,855 61,438 99,663

Source: DG of Health Efforts, Ministry of Health RI, 2011

2. Nutritional Status

One of indicator evaluated on MDGs is underfive nutritional status. It is measured through age, weight, and height. Weight and height are provided on three indicators i.e weight per age, height per age, and weight per height. Weight per age indicates general problem of nutrition. It does not explain chronic nor acute nutrition problem because weight has positive correlation to age and height. On the other words, low weight may appear as a result of short (chronic), diarrhea or other acute infection.

Meanwhile, height per age may describe chronic nutrition problem as a result of long term cause, i.e poverty, lack of health behaviour, and poor child feeding behaviour since birth leading to short. Weight per height and Body Mass Index (BMI) per age may describe acute nutrition problem as result of short term cause, i.e disease, less of nutrition intake led to thin.

Indicator of weight per age based on Basic Health Survey (Riskesdas) 2010 indicates that province with highest prevalence of severe mal nutrition was Gorontalo of 11.2%, followed by West Nusa Tenggara of 10.6%, and West Kalimantan of 9.5%. Meanwhile, province with lowest prevalence of mal nutrition was DI Yogyakarta of 1.4%, followed by Bali of 1.7%, and DKI Jakarta of 2.6%.

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Chronic nutrition problem indicated by height per age antropometric indicator. Based on Riskesdas 2010, province with highest prevalence of severe stunted underfive was East Nusa Tenggara of 30.9%, followed by West Papua of 28.6%, and West Nusa Tenggara of 27.8%. Meanwhile province with lowest prevalence of severe stunted underfive was DI Yogyakarta of 10.2%, followed by Riau Islands of 11.4%, and Bangka Belitung Islands of 12.5%.

Weight per height indicator describe acute nutritional problem. Riskesdas 2010 indicated that province with highest prevalence of severe wasted underfive was Jambi at 11.3%, followed by Bengkulu at 9.7%, and Riau at 9.2%. Meanwhile province with lowest prevalence of severe wasted underfive was Bangka Belitung Islands at 1.7%, followed by Riau Islands at 2%, and North Sulawesi at 2.6%.

Nutritional issue on above 18 years of age popoulation can be measured by BMI. Riskesdas 2010 indicated that province with highest prevalence of wasted adult was East Nusa Tenggara at 19.7%, followed by South Kalimantan at 18.6%, and DI Yogyakarta at 17.5%. Meanwhile province with lowest prevalence of wasted adult was North Sulawesi at 6%, followed by East Kalimantan at 8.4%, and North Sumatera at 8.7%.

Following table provide underfive nutritional status based on antropometric indicator i.e weight per age, height per age, and weight per height by sex, education level of head of family, and house hold expenses.

TABLE 3.3 PREVALENCE (%) OF UNDERFIVE NUTRITIONAL STATUS (WEIGHT PER AGE)

BY CHARACTERISTIC OF RESPONDENT, RISKESDAS 2010

Characteristic of Respondent Severe Mal Nutrition

Under Weight

Normal Over Weight

Total

Sex

Males 5.2 13.9 75.0 5.9 100

Females 4.6 12.1 77,5 5.8 100

Total 4.9 13.0 76.2 5.8 100

Household Expenses per Capita

Quintil 1 7.1 15.6 72.2 5.2 100

Quintil 2 4.9 14.2 75.8 5.1 100

Quintil 3 4.6 13.0 77.4 5.0 100

Quintil 4 3.8 11.5 78.4 6.4 100

Quintil 5 2.5 7.9 80.5 9.0 100

Total 4.9 13 76.2 5.8 100

Source: Riskesdas 2010, National Institute for Health Reaserch and Development, Ministry of Health RI

Above table describes that prevalence of severe mal nutrition and under weight on male underfives are higher than that on female underfives. It also indicates that declining of household expenses followed by increase of prevalence of severe mal nutrition and under weight. Meanwhile prevalence of underfive normal nutrition increase coherently to household expenses.

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TABLE 3.4 PREVALENCE (%) OF UNDERFIVE NUTRITIONAL STATUS (HEIGHT PER AGE)


Characteristic of Respondent Severe Stunted

Stunted Normal Total

Education Level of Head of Family

Never school 24.6 17.3 58.0 100 Under graduate of elementary school 21.2 19.9 58.8 100

elementary school 20.1 18.6 61.3 100

Junior high school 18.8 18.1 63.1 100

High school 16.4 14.8 68.8 100

Academy/University 11.3 12.9 75.8 100

Total 18.5 17.2 64.4 100

Household expenses per capita

Quintil 1 22.6 20.5 56.9 100

Quintil 2 20.8 18.1 61.1 100

Quintil 3 16.9 17.0 66.0 100

Quintil 4 15.3 15.4 69.3 100

Quintil 5 12.8 11.3 75.9 100

Total 18.5 17.1 64.4 100


Above table indicates that prevalence of severe stunted underfive and stunted underfive rise coherently to decrease of education level of head of familiy and decrease of household expenses per capita. Prevalence of normal underfive increase coherently to increase of education level of head of familiy and increase of household expenses per capita.

The following table describes prevalence of underfive nutritional status based on weight per height by characteristic of respondent. Based on the table it describes that education of parents increase coherently to decrease of prevalence of severe stunted underfive. Level of household expenses increase coherently to increase of prevalence of normal underfive and decrease of prevalence of severe wasted underfive.

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TABLE 3.5 PREVALENCE (%) OF UNDERFIVE NUTRITIONAL STATU (WEIGHT PER HEIGHT)


Characteristic of Respondent Severe Wasted

Wasted Normal Obese Total

Education level of parents

Never school 6.7 6.9 69.6 16.8 100Under graduate of Elementary school 6.5 7.5 73.6 12.4 100

Elementary school 6.5 7.5 72.5 13.5 100

Junior high school 6.2 7.6 72.3 13.9 100

High school 5.4 6.8 74.0 13.9 100

Academy/University 4.5 7.0 71.4 17.1 100

Total 6.0 7.3 72.8 14.0 100

Household expenses per capita

Quintil 1 6.6 8.1 71.6 13.7 100

Quintil 2 6.6 7.3 72.6 13.5 100

Quintil 3 6.3 6.9 73.1 13.6 100

Quintil 4 5.1 7.0 73.2 14.7 100

Quintil 5 4.3 6.3 74.4 14.9 100

Total 6.0 7.3 72.8 14.0 100


Further information about underfive and adult nutritional status are on Annex 3.5, 3.6, 3.7, 3.8, and 3.9. 3. Communicable Diseases

a. Malaria

Malaria is one of communicable diseases addressed on Millenium Development Goals as global commitment. Malaria is caused by Plasmodium infecting through mosquito (Anopheles) bite. It can infect males, females, infants, underfives, and adults. There are 80% of districts/municipalities confirmed as malaria endemic, and more than 45% of population of those live on endemic village.

Malaria endemic villages are remote areas with poor environment and sanitation, inaccessible transportation and communication, low accessibility to health care, low education and social‐economic level and poor health behaviour.

DG of Diseases Control and Environmental Health establishes stratification of malaria endemicity in Indonesia into 4 strata :

1. High Endemic, with Annual Parasite Incidence (API) > 5 per 1,000 population.

2. Medium Endemic, with API 1 – 5 per 1,000 population.

3. Low Endemic, with API 0 ‐ 1 per 1,000 population.

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4. Non Endemic, area where malaria cases are not found, API = 0.

The following graph descibes map of malaria endemicity at district/municipality level in 2010.

GRAPH 3.8 MAP OF MALARIA ENDEMICITY AT DISTRICT/MUNICIPALITY LEVEL

IN INDONESIA, 2010

Source: DG of Disease Control and Environmental Health, Ministry of Health RI, 2011

Malaria cases from 2005 to 2010 remained decrease, from 4.10 in 2005 to 1.96 per 1,000 population in 2010. The decrease is influenced by improvement in malaria control including increase of laboratory confirmation. There were 982,828 (47%) of blood specimens tested among 2,113,265 of clinical cases in 2005. Meanwhile, there were 1,164,406 (63%) of blood specimens tested in 2010 among 1,848,999 of clinical cases. The high coverage of test was result of malaria control program to eliminate malaria cases which every clinical case must be laboratory confirmed.

GRAPH 3.9 ANNUAL PARASITE INCIDENCE OF MALARIA PER 1,000 POPULATION



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DG of Diasease Control and Environmental Health has established API as indicator to 33 provinces in Indonesia since 2010. API in 2010 achieved target of 2 per 1,000 population. Based on above graph three provinces with highest API in 2010 were Papua, West Papua and East Nusa Tenggara with API 18.03; 17.86 and 12.14 per 1,000 population. Meanwhile province with lowest API was DKI Jakarta of 0. Per 1,000 population, DI Yogyakarta of 0.01 per 1,000 population, and Bali of 0.03 per 1,000 population.

Riskesdas 2010 describes malaria with period prevalence indicator in one latest month. Period prevalence on Riskesdas divided into two categories i.e confirmed case by blood speciment test (D), and case with clinical symptoms or without clinical symptoms but taking anti‐malaria drugs (G).

Riskesdas 2010 indicates that province with highest period prevalence (D) was West Papua at 10.6%, followed by Papua at 10.1%, and East Nusa Tenggara at 4.4%. Meanwhile province with lowest period prevalence (D) was DI Yogyakarta at 0%, followed by DKI Jakarta, West Java, Central Java, East Java, Banten, and Bali at 0.1%.

TABEL 3.6 PERIOD PREVALENCE OF MALARIA (%) ON ONE LAST MONTH

BY DIAGNOSIS AND CHARACTERISTIC OF RESPONDENT, RISKESDAS 2010

Charactersitic of Respondent Period Prevalence (%)

D G DG

Residences Urban 0.3 8.2 8.5 Rural 0.8 12.1 12.8

Never school 0.6 11.9 12.4

Under graduate of Elementary school 0.7 11.5 12.2

Level of Education Elementary school 0.5 11.6 12.0

Junior high school 0.5 9.3 9.7

High school 0.6 7.3 7.8

Academy/University 0.4 5.2 5.6

Type of Work

Under employee 0.4 10.2 10.5

Student 0.5 8.9 9.3 Government Officer/Armed Forces/Police

0.6 6.0 6.6

Enterpreneur 0.4 8.4 8.8

Farmer/Fisherman/Labour 0.8 12.8 13.5

Others 0,7 10,3 10,9 Note : D= diagnosis with blood test; G= diagnosis with clinical symptom DG= Combination of D and G Source: Riskesdas 2010, National Institute for Health Reaserch and Development, MoH RI

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Above table shows us that prevalence of malaria of all criterion on rural area are higher than that of prevalence on urban. Prevalence of malaria (DG) decrease coherently to increase of education level. Prevalence of malaria of all criterion reach the highest on farmer/fisherman/labour group. Meanwhile lowest prevalence of clinical symptoms or without clinical symptoms but taking anti‐malaria drugs (G) criteria , and DG criteria are on government officer/Armed Forces/Police. Further information concerning to malaria are on Annex 3.10, 3.11, and 3.12.

b. Pulmonary TB

Tuberculosis is one of communicable diseases caused by infection of Mycobacterium tuberculosis. Droplet containing the bacil may spread through air and causing infection. Control of the diseases is addressed by MDGs target.

WHO has recommended DOTS (Directly Observed Treatment Shortcourse) as one of strategy to control TB since 1995. It is proved that DOTS has become cost‐efective strategy. It consists of five critical components i.e

1. Political commitment 2. Qualified sputum smear test 3. Standarized short‐term treatment to all TB cases with appropriate case

management, and treatment observation 4. TB drugs availability 5. Recording‐reporting system supporting evaluation to treatment and whole

program performance.

DOTS program has been implemented in 33 provinces and 497 districts/municipalities. It has been conducted in health centers (96%), and hospitals (40%) consists of government, private, BUMN, Armed Forces/Police, B/BPKPM, and RSTP.

Case Detection Rate is one of indicator using on TB control program. It describes proportion of smear positive cases found and treated to all estimated new smear positive cases. Ministry of Health has established minimum target of CDR in 2010 at 73%.

Case Detection Rate in Indonesia on 2010 was 78,3%. It has fulfilled minimum target of CDR. In terms of province level, North Sulawesi reached highest percentage at 96.2%, followed by DKI Jakarta at 79.9% and Gorontalo at 77.3%. Meanwhile, province with lowest percentage was Central Kalimantan at 29.8% followed by East Kalimantan at 32.5% and West Nusa Tenggara at 33.3%. Based on the graph, it is clear that there are six provinces has fulfilled the minimum target of CDR i.e North Sulawesi, DKI Jakarta, Gorontalo, Maluku, Banten, and North Sumatera. The following Graph 3.10 describes CDR by province in Indonesia, 2010.

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GRAPH 3.10 CASE DETECTION RATE (CDR) OF TB IN INDONESIA, 2010


In order to evaluate effectivity of TB treatment, DG of Diseases Control and Environmental Health has establised three indicators, i.e cure rate, complete treatment, and success rate (SR). Cure rate represents proportion of cured cases to smear positive cases. Percentage of complete treatment explains proportion of smear positive cases taking complete treatment to smear positive cases. Cured rate and complete treatment in 2009 respactadly were 83.9% and 7,3%. Success Rate indicates new smear positive cases taking complete treatment and cured among new smear positive cases. Success Rate from 2004 to 2009 are described on the graph as follows.

GRAPH 3.11 SUCCESS RATE (SR) OF TB IN INDONESIA, 20042009


According to the Graph 3.11 we know that SR from 2004 to 2009 has fulfilled the Target at 85%. Although SR has met the target, it declined from 91% in 2005 to 87.6% in 2006. SR rose to 91% in 2007 and continued to rise to 91.2% in 2009.

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Riskesdas 2010 provides period prevalence of TB consists of two criterion i.e diagnosed (D) and with clinical symptoms. Period prevalence of TB with diagnosed criteria is generated through interview with respondents. Prevalence of diagnosed TB were obtained through question whether they have ever diagnosed TB through smear test and/or thorax image by health personnel. While to obtain prevalence of clinical symptoms or TB suspects, respondents who answered no to the question of whether they have ever diagnosed TB, were then asked whether they have experienced phlegmic cough for a period of two weeks or more with more than one symptom of: phlegm with blood , losing weight, sweating at night without physiscal activity, and fever for a period more than one month.

Province with highest period prevalence of TB with diagnosed criteria (D) was Papua of 1.441% followed by Banten of 1.282%, and North Sulawesi of 1.221%. Meanwhile the lowest prevalence was Lampung of 0.27%, followed by Bali of 0.306% , and DI Yogyakarta of 0.311%.

Period prevalence TB by characteristic of respondent are described on following table. Further description of TB are on Annex 3.13, 3.14, 3.15, 3.16, dan 3.17.

TABLE 3.7 PERIOD PREVALENCE OF TB (D) DAN PERIOD PREVALENCE OF TB SUSPECT (G) ON POPULATION > 15 YEARS OF AGE BY CHARACTERISTIC, RISKESDAS 2010

Characteristic of Respondent Period Prevalence (%)

D G

Type of Residences

Urban 0.703 2.320 Rural 0.750 3.182

Never school 1.041 4.074

Under graduate of Elementary school 0.974 3.948

Level of Education Elementary school 0.904 3.060

Junior high school 0.566 2.305

High school 0.455 1.922

Academy/University 0.535 1.366

Expenses per Capita

Quintil 1 0.733 3.012

Quintil 2 0.707 2.870

Quintil 3 0.768 2.745

Quintil 4 0.801 2.516

Quintil 5 0.607 2.410 Source: Riskesdas 2010, National Institute for Health Reaserch and Development, MoH RI

Above table explains that period prevalence of two criterion on rural are higher than that of urban. Prevalence of TB with diagnosed criteria decrease coherently with increase of education level. Meanwhile, prevalence of TB with clinical symptoms decrease coherently with increase of education level and increase of expenses per capita.

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c. HIV/AIDS

HIV/AIDS is one of communicable diseases caused by infection of Human Immunodeficiency Virus infecting immune system. The virus weakens immnune system on protecting body from diseases. People with HIV/AIDS are easily infected by many diseases.

HIV cases can be detected through Voluntary Counseling and Test (VCT), sero survey, and Integrated Biological and Behavioral Survey (IBBS). There were 20,028 clients confirmed as HIV positive among 192,076 clients tested on VCT in 2010. It indicates that positive rate on VCT were 10.4%. Number of HIV positive cumulative cases on VCT were 55,848 cases.

Number of AIDS cumulative cases up to December 2010 were 24,131 cases. Graph 3.12 illustrates new cases and cumulative cases of AIDS up to December, 2010.

GRAPH 3.12 NUMBER OF NEW CASES AND CUMULATIVE CASES OF AIDS

ON HEALTH CARE IN INDONESIA, 2001 – 2010

Source: DG of Disease Control and Environmental Health, Ministry of Health RI, 2011 From the graph it is shown that there is significant increase of AIDS new cases on 2005 and 2008. Number of AIDS new cases on 2010 were 4,158, they were higher than that of 2009 at 3,863 cases. Magnitude of issue can also be identified through AIDS case rate which indicates proportion of AIDS cumulative cases to total population. Province with highest AIDS case rate on 2010 was Papua of 173.69, followed by Bali of 49.16, and DKI Jakarta of 44.74 per 100,000 population. The following graph describes Case Rate per 100,000 population by province in Indonesia.

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GRAPH 3.13 CASE RATE PER 100.000 POPULATION OF AIDS BY PROVINCE IN INDONESIA

UP TO DECEMBER, 2010


HIV/AIDS can be transmitted through i.e sexual intercourse on heterosexual, male sex to male, shared injecting drug use, blood transfussion, and perinatal. The following Graph 3.14 explains percentage of cumulative cases by type of transmission.

GRAPH 3.14 PERCENTAGE OF AIDS CUMULATVE CASES BY TYPE OF TRANSMISSION IN INDONESIA

UP TO DECEMBER, 2010


The above graph indicates that there were two main type of transmission with high percentage, i.e sexual intercourse on heterosexual at 52.7%, and IDU at 38.3%. In terms of sex, percentage of AIDS cumulative cases on male was higher than female, with 73% to 26.6%. Percentage of AIDS cumulative cases by sex is described on the graph as follows.

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GRAPH 3.15 PERCENTAGE OF AIDS CUMULATIVE CASES

BY SEX IN INDONESIA UP TO DECEMBER, 2010

Source: DG of Disease Control and Environmental Health, Ministry of Health RI. 2011

In terms of age group, most of AIDS cases are on age group of 20‐29 years old, 30‐39 years old, and 40‐49 years old. Those age groups are sexually active and potential to use IDU.

GRAPH 3.16 PERCENTAGE OF AIDS CUMULATIVE CASES BY AGE GROUP

IN INDONESIA UP TO DECEMBER, 2010


More information concerning to HIV/AIDS can be seen on Annex 3.18, Annex 3.19, and Annex 3.20. d. Pneumonia

Pneumonia is an acute infection on alveolous caused by bacteria, virus or fungus. Chemical substance entering human body through inhalation can also lead to the disease. Chlidren under 2 years of age, elderly, and people with malnutrition or immunity disfunction are vulnerable group to Pneumonia.

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Case detection of underfive pneumonia reached percentage of 23% with 499.259 cases were found in 2010. Below graph illustrates detection coverage of underfive pneumonia by province.

GRAPH 3.17 COVERAGE OF UNDERFIVE PNEUMONIA DETECTION



The graph explains that province with the highest percentage was West Nusa Tenggara of 64.49%, followed by South Kalimantan of 49.6% and West Java of 48.65%. Meanwhile, province with the lowest percentage was Bengkulu of 1.68%, followed by Riau Islands of 1.91%, and Aceh of 3.53%. Further data and information of Pneomonia are on Annex 3.21.

e. Leprosy

Leprosy is communicable disease caused by infection of Mycobacterium leprae. Leprosy can be progressive when case management is not conducted properly. Increase of leprosy progressiveness can be indicated through permanent disorder of skin, nervous system, extremities, and eyes. Patient was confirmed as leprosy when diagnosis refers to three conditions :

1. White spot or rash on skin with numbness

2. Hardening on peripheral nerve system with nerve malfunction, numbness, and muscle weakness

3. Smear positive of skin

There were 13,734 new Multi Bacillary (MB) cases and 3,278 new Pauci Bacillary cases with 7.22 per 100,000 population of Newly Case Detection Rate (NCDR). Trend of those three indicators are described on following Graph 3.18.

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GRAPH 3.18 NUMBER OF PAUCI BACILLARY (PB) AND MULTI BACILLARY (MB) LEPROSY AND NEWLY CASE DETECTION RATE (NCDR) PER 100.000 POPULATION



NCDR from 2005 to 2010 remained declined from 8.99 per 100,000 population in 2005 to 7.22 per 100,000 population in 2010. The MB cases remained decreased as well as NCDR from 2005 to 2010. Meanwhile PB cases rose from 3,033 cases in 2009 to 3,278 cases in 2010.

DG of Disease Control and Environmental Health has classified provinces in Indonesia into two groups of leprosy burden. They are high endemic province and low endemic province. Provinces with NCDR > 10 per 100.000 population or new cases more than 1,000 are classified as high endemic. Provinces are classified as low endemic when NCDR < 10 per 100,000 population. Description of leprosy burden situation in 33 provinces are given on the graph as follows.

GRAPH 3.19 LEPROSY BURDEN IN INDONESIA, 2010


There are two indicators used on leprosy control i.e proportion of second grade deformity, and proportion of children among new cases. Proportion of second grade deformity may indicate performance of new case detection, and proportion of

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children (0‐14 years of age) among new cases can indicate transmission on community. Proportion of second grade deformity in 2010 was 10.71%, and proportion of children (0‐14 years of age) among new cases was 11.19%.

GRAPH 3.20 PROPORTION OF SECOND GRADE DEFORMITY

AND PROPORTION OF CHILDREN (014 YEARS) AMONG NEW CASES IN INDONESIA, 20012010


The Graph 3.20 illustrates that proportion of second grade deformity rose from 2002 to 2010. There were rising rising trend of proportion of children from 2005 to 2009. It slighly declined from 11.44% in 2009 to 11.19 in 2010. Further information of leprosy are on Annex 3.22.

f. Yaws

Yaws may lead to disability when there are no proper case management conducted. It is mostly found on areas with low accessibility of health care, and poor personal hygiene. Obstacle on accessing safe water may hinder eradication of yaws.

The disease still remained as health burden although its prevalence was lower than 1 per 100,000 population. Yaws prevalence decreased dramatically from 2.21 in 1985 to almost zero in 1995. After 1995, yaws control were no longer one of priority program and the disease control were inadequate. Therefore yaws prevalence slowly decreased after 1995. Cases and prevalence of yaws are given on the following Graph 3.21.

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GRAPH 3.21 PREVALENCE OF YAWS IN INDONESIA, 20052010


The graph explains that cases and prevalence of yaws significantly increased from 2008 to 2010. The increased occured due to intensification of case detection as a part of yaws eradication program.

In order to achieve yaws eradication in 2005, Subdirectorate of Leprosy and Yaws conducted Serology Survey in 2010 at 10 districts with no cases were found on latest three years. When the survey reported no cases are found on the districts, they will receive sertificate of free yaws from WHO. Case detection intensification of leprosy and yaws are also implemented in areas with high cases of yaws.

4. Preventable Diseases Through Immunization (PD3I)

a. Tetanus Neonatorum

Tetanus Neonatorum (TN) is caused by Clostridium tetani infecting through wound. The disease infects new born due to umbilical cord cut with unsterile decives. It is mostly found on low‐middle income countries especially with low percentage of delivery attended by health personnel.

There were 147 cases, 84 deaths and 57.14% of CFR in 2010. Cases found in 2010 were lower than TN cases in 2009 of 158 cases and 76 deaths. There were 19 provinces reported TN cases and 14 provinces reported deaths in 2010.

In terms of immunization status, 54.4% of all cases were found on unvaccinated population. Based on risk factors of delivery attendant, TN cases were mostly found on traditional attendant with 67.3% of all cases. In terms of umbilical cord treatment, most of cases were found on traditional group with 36.1% of all cases. More description by provinces of the disease and risk factors are on Annex 3.23.

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b. Measles

Measles is caused by infection of measles virus. It mostly infects children through secret containing virus from infected people. The following graph explains Incidence Rate (IR) of measles by provinces.

GRAPH 3.22 INCIDENCE RATE (IR) OF MEASLES PER 10,000 POPULATION



There were 17,139 cases found with Incidence Rate (IR) at 0.73 per 10,000 population in 2010. Province with the highest IR was Riau Islands of 3.51 per 10,000 population, followed by DI Yogyakarta of 2.35 per 10,000 population, and Banten of 2.21 per 10,000 population. Meanwhile, Maluku had the lowest IR of 0 per 10,000 population, followed by Southeast Sulawesi of 0.01 per 10,000 population, and West Nusa Tenggara of 0.05 per 10,000 population. Number of cases during measles outbreak were 2.570 cases with 6 deaths.

Further information concerning to measles by provinces can be seen on Annex 3.24, 3.25, 3.26, 3.27, and 3.28. c. Diptheria

Diptheria is caused by Corynebacterium diphtheriae infecting respiratory system. It can be indicated through i.e stiff on neck, light fever, and pharingitis, and grey membrane covered tonsil and respiratory track.

Number of diptheria cases in 2010 were 385 cases. In terms of age group, cases on < 1 years, 1‐3 years, 4‐9 years, 10‐14 years, and > 14 years were 9 cases, 138 cases, 141 cases, 54 cases, and 43 cases.

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GRAPH 3.23 NUMBER OF DIPTHERIA CASES BY AGE GROUP (YEAR)

IN INDONESIA, 2010


Further information of diptheria by provinces can be seen Annex 3.29, and Annex 3.30.

d. Polio and AFP (Acute Flaccid Paralysis)

Polio is one of communicable disease that can be prevented through immunization. It is caused by polio virus infecting nervous system and leading to paralysis. Polio commonly infects children on 0‐3 years of age. The disease can be indicated through symptoms i.e fever, headache, nausea, stiff on neck, and ilness on leg and feet.

Meanwhile AFP is an abnormal condition when there is a degradation of muscle strength due to uncertain causes. The abnormality may continue to paralysis. In order to measure performance of AFP surveillance, DG of Disease Control and Environmental Health has established Non Polio AFP Rate. It may indicate non polio AFP cases among children < 15 years of age. DG of Disease Control and Environmental Health has established minimun target of the indicator at 2 per 100,000 children < 15 years of age. Non polio AFP rate in 2010 was 2.62 per 100,000 children < 15 years of age. The following graph describes non polio AFP rate per 100,000 children < 15 years of age in 33 provinces.

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GRAPH 3.24 NON POLIO AFP RATE PER 100,000 CHILDREN < 15 YEARS OF AGE

IN INDONESIA, 2010


Province with highest non polio AFP rate was North Sulawesi at 6.2 per 100,000 children < 15 years of age, followed by Gorontalo and DI Yogyakarta at 5.67 and 4.83 per 100,000 children < 15 years of age. Meanwhile province with the lowest non polio AFP rate was North Maluku at 1 per 100,000 children < 15 years of age, followed by Central Kalimantan and West Sulawesi at 1.33 and 1.67 per 100,000 children < 15 years of age. Further descripton of AFP can be seen on Annex 3.31. 5. Potential Outbreak Disease

There are several diseases causing outbreak in Indonesia i.e Dengue Hemorrhagic Fever (DHF), Diarrhea, and Chikungunya. Outbreak of the diseases may affect to deaths and economic loss. a. Dengue Haemorrhagic Fever (DHF)

The disease caused by infection of Dengue virus. Transmission of DHF occured when Aedes aegypty, vector caring the virus biting people. Although DHF mostly occured on children under 15 years of age, adult can also be infected by the virus.

There were 156,086 cases of DHF with 1,358 deaths in 2010. Indicators indicates magnitude of the DHF burden are Incidence Rate (IR) per 100,000 population and Case Fatality Rate (CFR). IR of DHF in 2010 was 65.7 per 100.000 population. The number is lower than 2009, with 68.22 per 100,000 population. CFR of DHF decreased as well as IR, from 0.89% in 2009 to 0.87 in 2010.

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GRAPH 3.25 INCIDENCE RATE OF DHF PER 100.000 POPULATION

AND CASE FATALITY RATE DHF IN INDONESIA, 20052010


From the above graph, there was declining trend of CFR from 2005 to 2009. It slightly increased from 2008 to 2009. Meanwhile IR per 100,000 population increased from 2005 to 2007.

Province with the highest IR was Bali of 337.04 per 100,000 population, followed by DKI Jakarta of 227.44 per 100,000 population and East Kalimantan of 167.31 per 100,000 population. Meanwhile province with the lowest IR was Maluku of 0.42. per 100,000 population, followed by Jambi of 5.99 per 100,000 population, and West Kalimantan of 13.86 per 100,000 population. IR of DHF by provinces are described on the graph as follows.

GRAPH 3.26 INCIDENCE RATE OF DHF PER 100.000 POPULATION

IN INDONESIA, 2010


Province with the highest CFR was Maluku of 16.67%, followed by Bangka Belitung Islands of 4.39% and North Maluku of 3.46%. Meanwhile province with the lowest CFR was West Papua and West Sulawesi, when there were no cases reported,

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and DKI Jakarta of 0.17%. The following Graph 3.27 explains CFR of DHF on 33 provinces in Indonesia.

GRAPH 3.27 CASE FATALITY RATE OF DHF (%) IN INDONESIA, 2010


Percentage of districts/municipalities infected DHF in 2010 was 80.48%. The percentage was higher than 2009 of 77.26%. Percentage of infected districts/municipalities are described on the map as follows.

GRAPH 3.28 PERCENTAGE OF DISTRICTS/MUNICIPALITIES INFECTED BY DHF

IN INDONESIA, 2010


Details of DHF by provinces can be seen on Annex 3.32 and Annex 3.33. b. Diarrhea

Diagnosis of diarrhea is confirmed when there is a change of feces consistency, and frequency of defecation. Feces of people with diarrhea are usually more liquid than normal condition. The defecation of people with diarrhea are three times or more frequent than normal condition.

There were 11 provinces reported diarrhea outbreak in 2010 with 4,204 cases and 73 deaths. Case Fatality Rate in 2010 was 1.74%. CFR of diarrhea from 2006 to 2010 are explained on the graph as follows.

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GRAPH 3.29 CASE FATALITY RATE (CFR) ON DIARRHEA OUTBREAK

IN INDONESIA, 2006 – 2010


The above graph describes significant increase of CFR from 1.79% in 2007 to 2.94% in 2008. It declined to 1.74% in 2009 and 2010. The decrease of CFR may occure due to improvement of case management.

Outbreak in 33 provinces can be seen on the following map. GRAPH 3.30

DIARRHEA IN INDONESIA, 2010


More details of diarrhea by provinces are on Annex 3.34.

c. Chikungunya

Chikungunya is an acute infection with main symptoms i.e fever, rash on skin and arthritis. It is caused by chick virus transmitted through bites of Aedes aegypti and Aedes albopictus. Chikungunya mostly found on tropical or subtropical region. Epidemic of chikungunya may occur when there is poor herd immunity and high density of vectors. During rainy season, mounted of breeding places led to dramatic increase of vectors.

The disease affected on 20 provinces in 2010 with 53,899 cases and none deaths were reported.

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GRAPH 3.31 NUMBER OF CHIKUNGUNYA CASES IN INDONESIA, 2010


Increase of cases also occured due to high population mobilization in many areas. Further description of chikungunya can be seen on Annex 3.35. d.Rabies

Rabies is caused by infection of rabies virus transmitted through animal bites i.e i.e dog, cat, bat, monkey, raccoon and wolf. It has spread to 24 provinces in Indonesia. Up to 2010, there were only nine provinces reported no rabies cases i.e Bangka Belitung Islands, DKI Jakarta, DI Yogyakarta, Central Java, East Java, West Nusa Tenggara, West Kalimantan, West Papua, and Papua.

There are three indicators used on rabies control programs i.e animal bites (GHPR), vaccinated cases (VAR), and Lyssa. The following graph describes those from 2004 to 2010.

GRAPH 3.32 ANIMAL BITES INFECTED RABIES (GHPR), VACCINATED CASES (VAR), AND LYSSA



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Above graph shows rising trend of GHPR and VAR from 2004 to 2010. There were 78,203 GHPR cases, 63,334 VAR cases, and 206 LYSSA cases in 2010. Province with highest cases of GHPR, VAR, and LYSSA in 2010 was Bali. It reported 60,434 cases of GHPR, 52,775 cases of VAR, and 82 cases of LYSSA. Meanwhile four provinces reported cases of LYSSA in 2009 and scaled down the cases to none in 2010 were Aceh, Banten, East Kalimantan, and South Sulawesi. The following map illustrates infected areas of Rabies.

GRAPH 3.33 RABIES INFECTED AREAS IN INDONESIA, 2010


Details of rabies by provinces in Indonesia are on Annex 3.36. e. Filariasis

There are three parasitic worms caused filariasis i.e Wuchereria bancrofti, Brugia malayi, and Brugia timori. They infect lymph tissue through mosquito bite. On human body, worms become mature and live on lymph tissue. Those parasites cause big odema on leg, arm, breast, and genital part.

GRAPH 3.34 NUMBER OF FILARIASIS CASES IN INDONESIA, 20032010


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Cumulatiive cases of filariases up to 2010 were 11,969 cases. There were 356 endemic districts/municipalities until 2010. It means that 72% of all districts/municipalities in Indonesia are infected by filariasis.

GRAPH 3.35 FILARIASIS ENDEMIC DISTICTS/MUNICIPALITIES

IN INDONESIA, 2010


Endemicity status of district/municipality is determined through survey of blood finger. Further information concerning to filariasis cases by provinces are on Annex 3.37. f. Pest

Pest or bubonic plaque is caused by infection of Pasteurella pestis through rodents bite. There were 5 districts on 4 provinces determined as pest focus area i.e :

1. Pasuruan, East Java

2. Sleman, DI Yogyakarta

3. Boyolali, Central Java

4. Bandung and Cirebon, West Java Active and pasive rodent surveillance are still conducted on those focus areas

in order to prevent outbreak. Latest outbreak occured on Sulorowo, Kayukebek village, Tutur Nongkojajar sub district, Pasuruan, East Java in 2007. There was one specimen of human tested on Pasuruan and confirmed as negative. Meanwhile, there were 407 specimens of rodents tested on Sleman. Within those specimens on Sleman, 34 specimens confirmed as positive. Further data and information about pest can be seen on Annex 3.38.

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g. Leptospirosis

Leptospirosis is transmitted through rodent urine containing leptospirosis bacteria. Expossure to water or soil contaminated by the urine may occure infection. Symptoms of the disease ranges from influenza to serious illnes leading to death. Cases are frequently found on flood affected areas.

Cases reported in 2010 were higher than that of cases in 2009. There were 409 cases were found in 2010 while 335 cases were found in 2009. Most of cases in 2009 and 2010 were reported from Central Java and DI Yogyakarta. The following graph illustrates cases and CFR of leptospirosis from 2005 to 2010.

GRAPH 3.36 NUMBER OF CASES, DEATHS, AND CFR OF LEPTOSPIROSIS


Source: DG of Disease Control and Environmental Health, Ministry of Health RI, 2011 From the graph, it shows that leptospirosis cases reached the peak in 2007 of

664 cases and 55 deaths. Flood affected at many areas on the year, especially DKI Jakarta. CFR declined dramatically from 12.17% in 2005 to 5.16% in 2008. It increased afterwards to 10.51% in 2010. Detail information of leptospirosis by provinces can be seen on Annex 3.39. h. Antrax

Antrax is caused by infection of Bacillus anthracis. The bacil is zoonotic, therefore it may infect ruminantia and carnivore. Those infected animals can transmit the disease to human and leading to death. There were 31 cases and 1 death (CFR=3.2%) reported in 2010. One death case was digestive type. Cases, deaths, and CFR of antrax from 2005 to 2010 are described on the graph as follows.

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GRAPH 3.37 NUMBER OF CASES, DEATHS, AND CFR OF ANTRAX



Within those 31 cases, 24 cases were reported from Klaten, Central Java, and 7 cases were reported from Maros, South Sulawesi. From the above graph, CFR decreased from 12 % in 2009 to 3.2% in 2010. Further information by provinces of antrax are on Annex 3.40.

i. Avian Influenza

Avian Influenza is acused by infection of H5N1 virus frequently infecting poultry and rarely infecting pig. The disease can transmit to human and causing death. First cases in Indonesia was reported on June, 2005. Cases, deaths, and CFR of Avian Influenza from 2005 to 2010 are on the following Graph 3.38.

GRAPH 3.38 NUMBER OF CASES, DEATHS, AND CFR OF AVIAN INFLUENZA



Based on the graph, cases and deaths reached the peak in 2006 with 55 cases and 45 deaths. They declined afterwards to 9 cases and 7 deaths in 2010. Meanwhile, CFR reached the peak in 2009 of 90.48%. It declined to 77.78% in 2010.

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There were three provinces with highest cumulative cases since 2005 to 2010 i.e DKI Jakarta, West Java, and Banten.

GRAPH 3.39 NUMBER OF CASES AND DEATHS OF AVIAN INFLUENZA

IN 13 PROVINCES, 20052010


The following map classifies provinces in Indonesia into two categories i.e with cases and no cases, from 2005 to 2010.

GRAPH 3.40 INFECTED AREAS OF AVIAN INFLUENZA



From the map, it shows that Avian Influenza has spread to 13 provinces in Indonesia. Further information concerning to Avian Influenza can be seen on Annex 3.41.

***

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Generally, health efforts consist of two main factors, community and individu health efforts. Community health effort is all activities conducted by government and/or community and private in order to maintain and improve health as well as prevent and control health problems in community. The community health efforts cover health promotion, health sustainability, communicable disease control, noncommunicable disease control, basic sanitation supply and environmental health, community nutrition development, mental health, medical devices and pharmaceutical equipment control, usage controls of addictive substance in food and beverage, narcotics, psychotropic and dangerous substances control, disaster response and humanity support.

Meanwhile, individu health effort is all activities conducted by government and/or community and private in order to maintain and improve health condition as well as prevent and cure the disease and heal the individual health. It covers health education, diseases control, outpatient care, inpatient care, and paralysis cure and control, headed to the individual.

The following is description of health efforts for the last years, especially during 2010. A. PRIMARY HEALTH CARE

Primary health care is a crucial way in providing health service to public. By rapid and appropriate primary health service, most public health problems could be managed. The primary health care is provided by health personnel as follows: 1. Child and Maternal Health Service

Maternal and neonatal health policies specifically related to newborn, delivery, postpartum and antenatal cares provided in all types of healthcare facilities, from posyandu to government hospitals and private health care facilities. Child health includes infants, underfives and teenagers.

Maternal Mortality Rate (MMR), Neonatal Mortality Rate (NMR), Infant Mortality Rate (IMR) and Underfive Mortality rate (U5MR) are indicators of community health status. Today, MMR and IMR in Indonesia are still high comparing to other ASEAN member states. Indonesia Health and Demographic

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Survey (SDKI) 2007 recorded MMR 228 per 100,000 live births, IMR 34 per 1,000 live births, NMR 19 per 1,000 live births and U5MR 44 per 1,000 live births.

In achieving Millenium Dvelopment Goals (MDGs) and health development goals, one priority is to improve maternal health service by reducing Maternal Mortality Rate into 102 per 100,000 live births in 2015 from 425 per 100,000 live births in 1992 (Household Health Survey/SKRT). Reducing maternal mortality requires efforts related to pregnancy, delivery and the postpartum period.

Efforts to accelerate the decline of MMR have been initiated since end of 1980s through Safe Motherhood Initiative, which received significant attention and support from various parties both national and international. At the end of 1990s, more efforts have conceptually been intriduced to sharpen the strategies and interventions in reducing maternal mortality rate through the Making Pregnancy Safer (MPS) which was announced by the government in 2000.

a. Antenatal Care (1st and 4th visit)

Antenatal care is a health service by skilled health personnel to a woman during her pregnancy, based on standard antenatal care stated in midwifery standard services (SPK). Skilled health personnel providing antenatal care are obstetricians, doctor, midwife and nurse.

Standard antenatal care involves body weighing, height measurement, blod pressure, nutrition status (upper arm circumference), measuring height of uteri fundus, determining fetal presentation and fetal heart rate (DJJ), screening of tetanus immunization status and giving Toxoid Tetanus immunization (TT) when needed, supplementation of at least 90 iron tablets during pregnancy, laboratory test (routine and specific), case management, counseling, delivery planning and complication prevention (P4K) and family planning after delivery.

The antenatal care is complete when the service is provided by skilled health personnel and meets the standard. The frequence distribution of antenatal care has been set into at least 4 times during pregnancy, with suggested time of service as follows: the minimum of 1 time at first trimester, 1 time at second trimester and twice at third trimester. This suggested standard of antenatal care period aims to give protection to pregnant woman in the form of risk factor early detection and pregnancy complication protection and management.

The achievement of antenatal health service is evaluated by using coverage of 1st and 4th visit of pregnant woman (K1 and K4). The K1 is calculated by dividing total pregnant woman getting 1st antenatal care from health personnel by target of pregnant women in the working area during 1 year. The K4 is calculated by dividing total pregnant woman getting minimum 4 times standard antenatal care from health personnel in certain area at a certain time by target of pregnant women in the working area during 1 year.

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Graph 4.1 presents coverage of K1 and K4 of pregnant woman during the last six years. The coverage of K1 during 2004 to 2010 continued to grow from 88.09% in 2004 to 95.26% in 2010, while the coverage of K4 in during 2004‐2010 was likely to increase from 77% in 2004 to 85.56% in 2010.

GRAPH 4.1 COVERAGE OF ANTENATAL CARE (1ST AND 4TH VISIT OF PREGNANT WOMEN)


Source: DG of Nutrition and Maternal and Child Health, MoH RI

In the picture above, it can be seen the coverage gap between K1 and K4. In 2004, the difference between K1 and K4 was 11%. It decreased to 10% in 2006 and to 6.6% in 2008. In 2009, the difference of K1 and K4 coverage increased to 9%. The differences indicate K1‐K4 drop out; in other word, the fewer difference of K1 and K4 kecil means almost all pregnant women getting 1st antenatal care continued until the 4th care at the 3rd trimester, so that the pregnancy could be monitored by health personnel.

GRAPH 4.2 COVERAGE OF ANTENATAL CARE (1ST VISIT)

2010


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Graph 4.2 presents achievement of K1 coverage in 2010, which shows that the indicator has met K1 target of 95.26%. DKI Jakarta and Banten were two provinces with K1 coverage of 100%, while Papua was province with the lowest coverage of 53.55%. Of total 33 provinces, 27 provinces (81.8%) had coverage more than 90%. Other 3 provinces had coverage between 80‐90%, while Papua, Riau Islands and West Papua had coverage of 53.55%, 73.53% and 79.52%. Therefore, efforts are needed to accelerate maternal health service, especially in those last three provinces.

During 2010, achievement of K4 service coverage nationally in Indonesia was 85.56%, which means Indonesia had met target of MoH strategic plans (renstra) for K4 coverage in 2010 of 84%. Other 20 provinces had also met K4 target. Provinces on three highest K4 coverages were DKI Jakarta (94.01%), Bali (92.23%) and Bangka Belitung Islands (91.61%). Meanwhile, three provinces with lowest K4 coverage were Papua (20.90%), West Papua (48.03%) and East Nusa Tenggara (56.39%). Further description can be seen in Graph 4.3 below.

GRAPH 4.3 COVERAGE OF ANTENATAL CARE (4TH VISIT)

2010


K4 coverage by province according to Riskesdas 2010 can be seen on Graph 4.4 below. There were only 2 provinces with coverage more than 84% of pregnant women aged 10‐59 years old did K4 (4th visit) on the last pregnancy. Those 2 provinces were DI Yogyakarta and DKI Jakarta. Meanwhile, 4 provinces had coverage 68% ‐ 84%, 11 provinces had 52%‐68% and 16 provinces had less than 52%. Provinces in the eastern Indonesia included in the last group.

RENSTRATARGET 2010 : 84%

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GRAPH 4.4 PERCENTAGE OF PREGNANT WOMEN AGED 1059 YEARS GOT K4 HEALTH SERVICE

ON THEIR LAST PREGNANCY, 2010

Source: National Board of Health Research and Development, MoH RI, Riskesdas 2010

Riskesdas 2010 shows that 92.7% women aged 10‐59 years did pregnancy examination at least once during the last pregnancy, tahun yang melakukan pemeriksaan kehamilan minimal 1 kali pada kehamilan anak terakhir, without considering the time of examination. Meanwhile, 72.3% examined their pregnancy (1st visit or K1) in the 1st trimester, and 61.4% did K4 or 4th visit of pregnancy examination. It means almost 11% pregnant women did K1 pregnancy examination during 1st trimester but did not do examination until 4th visit (K4). On the other hand, most pregnant women who did K1 pregnancy examination in the 1st trimester would do examination until at least 4 times in the 3rd trimester.

According to the same research, there was percentage gap of K4 pregnancy examination in ruban and rural areas. In urban, coverage of K4 preganancy examination was 76.2%, while in rural was 55.7%.

Some factors are considered influencing K4 pregnancy examination. Those factors are education level, mother’s occupation and socio‐economic level. In the group of women did not attend school, only 31.6% pregnant women did the K4 examination, while in the group of women who were primary school graduates, junior high school graduates, senior high school graduates and higher education graduates, the coverage of K4 examination were 50.2%, 63.7%, 74.8% and 84.5%. According to type of occupation, 45.6% women who work as farmer/fisher/labor did K4 examination. On the contrary, about 81% women who work as civil servants/armed forces/employee did K4 pregnancy examination. According to socio‐economic level, it is described by expenditure per capita (quintile). Quintile 1 is 20% the lowest expenditure per capita, and quintile 5 is 20% the highest expenditure per capita. The higher quintile of expenditure per capita, the higher pregnant women did K4 pregnancy examination. On the quintile 1, there was only 47.5% K4 examination, while on the quintile 3, there was 63.6%, and on the quintile 5, there was 79.7%.

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b. Delivery Attendance by Midwifery Skilled Health Personnel (Pn)

Delivery is a maternal period having big contribution to Maternal Mortality Rate (MMR) in Indonesia. Mortality during delivery and within one week after delivery is estimated 60% of all maternal mortality (Maternal Mortality: who, when, where and why; Lancet 2006). In MDG’s target, one effort to improve maternal health is by reducing maternal mortality rate to 102 per 100,000 live births in 2015 from 425 per 100,000 live births in 1992 (SKRT) and by increasing coverage of delivery attendance by skilled health personnel to 90% in 2015 from 40.7% in 1992 (BPS). Delivery attendance by skilled health personnel is a safe delivery service by health personnel with midwifery competency.

Gambar 4.5 shows coverage of delivery attendace by skilled health personnel since 2004 to 2010 tending to increase. In 2010, the coverage in Indonesia was 84.78%.

GRAPH 4.5 COVERAGE OF DELIVERY ATTENDANCE BY HEALTH PERSONNEL



Achievement of 84.78% delivery attendance by skilled health personnel in 2010 describes that Indonesia had successfully met target of MoH strategic planning 2010 of 84%. From Graph 4.6, three provinces with highest coverage were Bali with 98.8%, East Java with 95.04% and Central Java with 91.9%. Meanwhile three provinces with the lowest coverage of Pn were Papua with 25.2%, Riau Islands with 64.61% and West Papua with 65.97%.

During 2010, 15 provinces in Indonesia met target of delivery attendance by skilled health personnel (84%). There are some efforts to improve delivery coverage through maternal health priority program, such as partnership of midwife and traditional birth attendant (Kemitraan Bidan Dukun), improvement of delivery in health facilities through delivery program insurance, model rumah tunggu (a place near health facilities where pregnant woman can stay until the time to delivery) in districts and Puskesmas (health center) in remote areas to prevent delivery complications, revitalization of coordinator midwife (Bidan

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Koordinator) through facilitated supervision to improve quality of assistant and quality surveillance of maternal health through Monitoring Local Area of Child and Maternal Health (Pemantauan Wilayah Setempat Kesehatan Ibu dan Anak ‐ PWS KIA).

GRAPH 4.6 COVERAGE OF DELIVERY ATTENDANCE BY HEALTH PERSONNEL

BY PROVINCE, 2010


Riskesdas 2010 shows 82.2% delivery assisted by skilled health personnel. The skilled health personnels include specialist, physician and midwife. There is percentage gap of delivery assisted by health personnel in urban and rural areas. In urban, delivery assisted by helath personnel reached 91.4%, while in rural it was only 72.5%. Expenditure per capita could be affecting the indicator achievement. The higher expenditure per capita is the higher percentage of delivery assisted by health personnel. On the quintile 1 of expenditure per capita, delivery assisted by health personnel was 69.3%, while on the quintile 3 of expenditure per capita, it was 86.8%, and on the quintile 5, it was 94.1%.

Delivery in health facility can reduce risk of maternal death because in health facility delivery is assisted by health personnel and there are adequate tools to manage the possible complication that can harm mother and baby. Riskesdas 2010 describes percentage of delivery in health facility was 55.4%, while other 43.2% delivery was in house or other places. The delivery in house, about 40.2% was assisted by non skilled health personnel, especially tradiosional birth attendant.

Graph 4.7 indicates the low usage of health facility for delivery in rural areas, which was only 35.2%. On the contrary, coverage of delivery in house/other places was very high with 62.7%. It could be happened because of the limited

RENSTRA TARGET 2010 : 84%

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access of delivery mother to health facility, such as geographical, economical and knowledge. Therefore, strategical efforts are very important to solve the limited access that all deliveries can be assisted by health personnel in health facilities.

GRAPH 4.7 PERCENTAGE OF DELIVERY OF UNDERFIVE BY BIRTH HELPER

BY TYPE OF AREA, RISKESDAS 2010


Some deliveries carried out by abdominal surgery are because of medical and psychological reasons. Riskesdas 2010 notes that 15.3% delivery was carried out through surgery. Three highest provinces with delivery by abdominal surgery were DKI Jakarta (27.2%), Riau Islands (24.7%) and West Sumatera (23.1%).

Age, education, occupation and expenditure per capita of delivery women are factors affecting choice of delivery by abdominal surgery. Pregnant women aged > 35 years had relatively higher coverage of delivery with abdominal surgery (17.1%) comparing to preganant women aged <35 years. Women aged <20 years having abdominal surgery was 11.6%, while women aged 20‐34 years having abdominal surgery was 15.2%. Of pregnant women that were primary school graduates, 11.2% had abdominal surgery for their last underfive, while of pregnant women that were junior high school graduates, less than 15% had abdominal surgery for their last underfive, and of pregnant women that were higher education graduates, 29.4% had abdominal surgery. Graph 4.8 shows characteristics of delivery by abdominal surgery.

Delivery by abdominal surgery was carried out by mothers occupying as civil servants/armed forces/police/employee (27.1%) and as students (24.8%). According to expenditure quintile per capita, the higher level of expenditure per capita is the higher possibility of abdominal surgery for delivery, with a significant difference of proportion.

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GRAPH 4.8 CHARACTERISTIC OF DELIVERY BY ABDOMINAL SURGERY

OF THE LAST UNDERFIVE, RISKESDAS 2010


c. Postpartum Health Care (KF3)

Postpartum health care is standard health service whithin 6 hours to 42 days after delivery by health personnel. For early detection of postpartum complication, it is important to monitor the examination of postpartum mother through postpartum visit at least 3 times with distribution as follows: 1) 1st visit (KF1) within 6 hours – 3 days after delivery; 2) 2nd visit (KF2) in 2nd week after delivery; and 3) 3rd visit (KF3) in 6th week after delivery. Postpartum visit is defined as a contact of postpartum mother to health personnel either inside or outside of health facility building (includes midwife in village/village maternal clinic (Polindes)/village health clinic (Poskesdes) dan home visits.

The postpartum care includes: 1) taking blood pressure, pulse, respiration and body temperature; 2) examination of lochia and other vaginam expense; 3) examining breast condition and suggesting 6‐month exclusive breastfeeding; 4) twice (in 2 days) vitamin A 200,000 IU supplement; and 5) Family Planning service.

Coverage of postpartum care in 2010 was 73.48%, while target of coverage of postpartum visit by minimum standard service on health in 2015 is 90%.

Bali was the province with the highest coverage of KF3 (96.68%). East Java (95.82%) and DI Yogyakarta (89.05%) were two provinces on the 2nd and 3rd higher position. From 33 reporting provinces, Bali and East Java had met target of minimum standard service (SPM) on health in 2015 for postpartum care. Three provinces with the lowest coverage were Papua (14.21%), Central Sulawesi (19.52%) and West Papua (35.78%).

Graph 4.9 below presents percentage of postpartum care by province in Indonesia.

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GRAPH 4.9 COVERAGE OF POSTPARTUM CARE (KF3)

BY PROVINCE, 2010


One of postpartum care is Vitamin A. The following Graph 4.10 shows percentage of postpartum mother got Vitamin A on the last underfive delivery by province in 2010.

GRAPH 4.10 PERCENTAGE OF POSTPARTUM MOTHER GOT VITAMIN A ON THE LAST UNDERFIVE DELIVERY BY PROVINCE, 2010


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Nationally, postparum mother getting vitamin A was 52.2%, relatively low comparing to coverage of postpartum care. Coverage of postpartum mother getting vitamin A in Indonesia was less than 70%, it even was less than 50% in 19 provinces.

d. Obstetric and Neonatal Complication Treatment

High risk or complication is an abnormal condition which directly causes mother and infant fatalities and mortalities. Obstetric complication includes premature rupture of membranes, bleeding per vaginam, high blood pressure (sistole > 140 mmHg, diastole > 90 mmHg) with or without pre tibial oedema, premature delivery, serious infection, dystocia (abnormal or difficult delivery) and infection during postpartum.

Graph 4.11 presents coverage of obstretic complication treatment by province in 2010. Average coverage in 2010 was 58.8%. Target of Minimum Service Standard on health for obstretic complication treatment in 2015 is 80%. From 33 provinsi, there were only 3 provinces having coverage more than 80%, those were West Sumatera (84.4%), West Nusa Tenggara (83.2%) and DI Yogyakarta (82.7%).

GRAPH 4.11 COVERAGE OF OBSTRETIC COMPLICATION TREATMENT

BY PROVINCE, 2010


Neonatal high risk/complication includes asphyxia, tetanus neonatorum, sepsis, birth trauma, low birth weight < 2,500 gram, respiratory syndrome and neonatal abnormalities. Handled neonatal complication is neonatal complication getting treatment from skilled health personnels, those are doctor and midwife in

TARGET OF SPM 2015: 80%

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Polindes (village maternal clinic), Puskesmas (health center), maternal clinic and hospital.

In 2010, coverage of neonatal complication treatment was reported 25.23%, with wide range coverage among provinces from 1.10% to 82.29%. Meanwhile, target of Minimum Service Standard on health in 2010 is 80%. It means the coverage in 2010 had not met the target. Description of neonatal complication treatment by province is presented in Graph 4.12 below.

GRAPH 4.12 COVERAGE OF NEONATAL COMPLICATION TREATMENT

BY PROVINCE, 2010


Province with the highest coverage was DI Yogyakarta with 82.29% and the lowest was South Sulawesi with 1.10%. Of total 33 provinces, 28 had coverage less than 50%. This low coverage of neonatal complication treatment requires extra attention for it is a strategic step to decrease infant mortality rate.

e. Neonatal Visit

Neonates or 0‐28 day newborn infant is an age group having highest risk of health problem. Health efforts to minimize the risk are providing delivery assisted by skilled health personnel in health facility and health care during neonatal visit subject to the standard.

Riskesdas tahun 2007 notes that most neonate death (78.5%) happened within the 1th week of life (0‐6 day). Considering the high risk of death within the 1st week of life, every newborn should get more frequent standardized examination in their 1st week of life to detect whether there is a disease or abnormality in order to intervence as soon as possible to prevent neonatal death.

TARGET SPM 2010 80%

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Relating to it, in 2008 there is a policy change on neonatal visit from twice (one within 1st week and one within 8‐28 days) to 3 times (twice within 1st week of life). Therefore, schedule of neonatal visits are within age of 6‐48 hours, 3‐7 days and 8‐28 days.

The neonatal care in accordance to standard on integrated management of young underfive (Manajemen Terpadu Balita Muda MTBM) includes examination of vital signs, counseling of newborn care and exclusive breastfeed, supplement of Vitamin K1, immunization (if not given at birth), case management and referral, and promotion of neonatal care at home using Maternal and Child Health Book (KIA).

Neonatal health service is described by coverage of neonatal visit. Coverage of 1st neonatal visit (KN1) due to routine report in 2010 was 80%. It had not met the expected target of 82%. Graph 4.13 shows coverage of 1st neonatal visit (KN1) by province in 2010.

GRAPH 4.13 COVERAGE OF NEONATAL VISIT (KN1)

BY PROVINCE, 2010


There were 25 provinces (76%) had met the target of 1st neonatal visit 2010, which is 82%. Three provinces with highest coverage of KN1 were Bali with 99.23%, Central Java with 98% and East Java with 97%. Three provinces with lowest coverages were Papua 32.53%, West Papua 42.60% and North Maluku 45.30%.

Trend of complete neonatal visit coverage (KN complete) during 2003‐2010 can be seen in Graph 4.14 below. Since 2006 to 2010, coverage of KN complete tended to fluctuate. Average coverage in 2010 was 71.5%.

TARGET RENSTRA 2010 : 82%

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GRAPH 4.14 COVERAGE OF COMPLETE NEONATAL VISIT



Since 2008, there have been changes on policy of visit time, from previously minimum 2 visits into 3 visits (socialized in 2008).

Provinces had met 2010 target of 80% can be seen in Graph 4.15 below. GRAPH 4.15

COVERAGE OF COMPLETE NEONATAL VISIT BY PROVINCE IN 2010


There were only 13 provinces met KN complete target of 80%. Three

provinces with the highest coverage were Bali with 98.11%, Bangka Belitung Islands with 95.30% and East Java with 95%, while three provinces with the lowest coverage were South Sulawesi with 25.10%, West Papua with 31% ans Papua with 38.20%.

Complete Neonatal Visit :

KN1, KN2

Complete Neonatal Visit : KN1, KN2, KN3


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f. Infant Health Care

Infant Health Care is standardized health service to infant provided by health personnel (physician, midwife and nurse) for minimum 4 times in a year –once within aged 29 days‐3 months, once within aged 3‐6 months, once within aged 6‐9 months and once within aged 9‐11 months.

The health care to infants includes basic immunization (BCG, DPT/ HB1‐3, Polio 1‐4, and Measles), early stimulation, detection and intervension of infants’ growth (SDIDTK) and infant health care promotion. This indicator measures capability of improvement to infant access to basic health care, early detection to abnormality or diseases, health sustainability, disease prevention and infant quality life improvement.

In 2010, coverage of infant health care was 84%, while target of strategic plan (Renstra) 2010 is 84%. It means coverage of infant health care in 2010 had met the target. There were 26 provinces (79%) had also met the target, and it can be seen in Graph 4.16.

GRAPH 4.16 COVERAGE OF INFANT HEALTH CARE

BY PROVINCE, 2010


Three provinces with the highest coverage were Bali 97%, West Sumatera 96.8% and Central Java 96.7%, while three provinces with the lowest coverage were Papua 32.4%, West Papua 42% and North Maluku 55.9%. The achievement of infant health care is strongly influenced by Posyandu activity in every month, cadre roles, family participation to carry infant to Posyandu and personnel in Puskesmas to manage Posyandu.


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g. Underfive Health Care

Underfive health care is standardized health service to child aged 12 – 59 months including growth monitoring at least 8 times in a year, development monitoring at least twice in a year and vitamin A twice in a year (February and August).

Growth monitoring is performed by weighing the body and measuring the height in Posyandu, Puskesmas, hospital, midwife private practice and other health facilities. Development monitoring is performed by SDIDTK (stimulation, detection and early intervention of growth and development) by health personnel. Vitamin A is given by health personnel in health facility.

In 2010, coverage of underfive (1‐4 year old) by province can be seen in the following Graph 4.17:

GRAPH 4.17 COVERAGE OF UNDERFIVE HEALTH CARE

BY PROVINCE IN 2010


Though averagely coverage of underfive health care had met the target, there were 14 provinces (42%) having had not met the Renstra target of 78% in 2010 yet. Three highest coverages were by DI Yogyakarta with 97.69%, North Sumatera with 91.81% and DKI Jakarta with 89.77%. On the contrary, three provinces with lowest coverage were Papua, East Nusa Tenggara and West Kalimantan.

Another indicator that is sensitive enough to capture health efforts to underfive is D/S coverage, which is coverage of weighed to total underfive. The weighed underfives are assumed having got standardized health services. The following is coverage of weighing underfive (D/S) by province.


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GRAPH 4.18 COVERAGE OF WEIGHING UNDERFIVE (D/S)

BY PROVINCE, 2010


Target of Renstra on weighing underfive in 2010 is 65%. The average coverage of weighing underfive in 2010 was 67.87%, which means that target in 2010 had been fulfilled. There were 13 provinces (39%) had met target of Renstra 2010. The province with the highest coverage was Aceh (78.3%) and the lowest was Papua (30.8%).

h. Primary School Student Health Care

Many sources figure that health problems on school aged children are getting more complex. At primary school aged children, the health issues usually relate to healthy and clean life behavior (PHBS), such as brushing teeth properly and washing hands with soap. Some health problems usually are dental caries, worm infastation, abnormal refraction/acuity of vision and nutritional problems.

Therefore, health detection to primary students is needed, and the indicator is number of primary school doing health detection to the 1st grade. It is supposed to improve health quality of sdcool aged children.

Graph 4.19 shows coverage of primary school doing health detection to 1st grade students. The average coverage was 61.08%. Comparing to target of Renstra in 2010 (80%), it is still far from the target.


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GRAPH 4.19 COVERAGE OF PRIMARY SCHOOL DOING HEALTH DETECTION TO 1ST GRADE STUDENTS

BY PROVINCE IN 2010

Source: DG of Nutrition and Child and Maternal Health, MoH RI

There were only 9 provinces (29%) met the target of 80%. Provinces on the three highest positions were East Java (100%), DI Yogyakarta (100%) and Bali (97.36%), while provinces on the three lowest positions were Lampung (10.16%), Papua (12.20%) and Central Sulawesi (12.83%).

2. Family Planning Service

According to studies, woman reproductive age is usually between 15 – 49 years. Therefore, to manage number of births and spacing births, using contraceptive becomes the best priority.

Achievement status of family planning service is indicated by coverage of family planning participants who are using/ever used contraceptives, new participant of family planning, family planning service facility and type of contraceptives used by acceptors.

The average of family planning active acceptor in 2010 was 75.4%. Three provinces with the highest coverage were Bengkulu (89.9%), Gorontalo (85.6%) and Bali (85.3%), and provinces with the lowest coverage were Papua (48.4%), North Maluku (58.2%) and Riau Islands (64%).

Target of minimum service standard (SPM) on health for active family planning acceptor in 2010 is 70%. Therefore, nationally it had been met the target, while by province, there were 7 provinces had not met the target.

Proportion of married women aged 15‐49 years who are using/ever used contraceptives can be seen in Graph 4.20 below.


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GRAPH 4.20

PERCENTAGE OF MARRIED WOMEN AGED 1549 YEAR WHO ARE USINGCONTRACEPTIVE BY PROVINCE IN 2010

Source: National Family Planning Coordinating Board

Proportion of active family planning acceptor by type of contraceptive in 2010 can be seen in Graph 4.21.

GRAPH 4.21 PERCENTAGE OF ACTIVE FAMILY PLANNING ACCEPTOR BY TYPE OF CONTRACEPTIVE

2010


In 2010, of active family planning acceptor, 76.5% mostly used short‐term contraceptive, especially injection (47.19%) and pill (26.81%). On the contrary, 23.5% used long‐term contraceptive, especially vasectomy (MOP) with 0.68% as the lowest proportion of contraceptive.

TARGET OF SPM 2010 : 70%

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By sex, method of contraceptive used by male are vasectomy ana condom (assuming that condoms are mostly used by male), while method of contraceptive used by female are injection, pills, IUD, implant and tubectomy.

Most active family planning acceptor is female with 96,82% and the remains is male with 3.18%. There is a wide gap between female and male on the participation of using contraceptives. Therefore, efforts to improve male participation on using contraceptive are needed.

According to method of contraceptive by province, IUD is mostly used in Bali, DI Yogyakarta and DKI Jakarta. Those three provinces had coverage far above the national average of 11.03%. Bali had 47.34%, DI Yogyakarta had 24.57% and DKI Jakarta had 21.33%. Meanwhile, province with active family planning mostly used tubectomy was North Sumatera with 7.71%. Percentage of family planning new acceptor and active acceptor by methode of contraceptive and province can be seen on Annex 4.6 and Annex 4.8.

Percentage of FP new acceptor service facility during 2007‐2010 is presented on Graph 4.22 below.

GRAPH 4.22 PERCENTAGE OF NEW FAMILY PLANNING ACCEPTOR BY SERVICE FACILITY



BKKBN Data figures that service facilities of new family planning acceptor in 2010 did not have many differences with years before. Most new acceptors used government family planing clinic as their service facility (62.16%). In addition, 30.28% new acceptors used midwife private practice.

There were 3 provinces using government family planning clinic as service facility more than 90%. Those provinces were East Nusa Tenggara with 97.92%, West Sulawesi with 92.46% and West Nusa Tenggara with 90.66%. On the contrary, in DKI Jakarta, Bali and DI Yogyakarta, government family planning clinic was only used by 40%, but private family planning facilities (private family planning clinic, midwife private practice and physician private practice). Detail

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new family planning proportion by service facility and province is presented in Annex 4.7.

3. Immunization Service

Infant and children have higher risk of fatal infectious diseases, such as: diphteria, tetanus, hepatitis B, typhus, meningitis, pneumonia, etc. Therefore, the best and vital prevention for these high‐risk groups is through immunization.

The first time bacteria (antigen) enters the body, as a reaction the body will make substances called antibodies. In general, the first reaction of body to make antibody is not too strong because body has not had ”experience.” At the next reaction, 2nd, 3rd, etc, the body already has memory to recognize the antigen that the formation of antobody occurs faster and in greater number. It is the reason why to several diseases considered harmful, immunization or vaccination is important to do. This is a prevention to protect body infected by the diseases, or if getting infected, it does not cause fatal effect.

a. Basic Immunization

Infant basic immunization program (5 complete basic immunization) consists of 1 dosage of BCG, 3 dosages of DPT, 4 dosages of Polio, 4 dosages of Hepatitis B and 1 dosage of measles.

Among kinds of disease that can be prevented by vaccine, measles is the main cause of underfive death. Therefore, measles prevention is an important factor to reduce underfive mortality rate. One of some points in International Meeting on Child is sustaining measles vaccination coverage of 90%. This target is along with target of strategic planning of Ministry of Health RI, which is 90% in 2014. In ASEAN and SEARO, measles vaccination is given to 9‐11 months infant and the last immunization series to infant.

In 2010, Indonesia had covered measles immunization 93.61%. It means Indonesia had met WHO target. Graph 4.23 shows distribution of measles immunization coverage by province in 2010.

GRAPH 4.23 PERCENTAGE OF MEASLES IMMUNIZATION ACHIEVEMENT

BY PROVINCE, 2010

Source: DG of Disease Control and Environmental Health, MoH RI

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Of 33 provinces in Indonesia, 20 provinces had met measles immunization target ≥ 90%, 10 provinces covered 80%‐90% and other 4 provinces covered less than 80%. There was even province with coverage 68.34%. The highest coverage was by Bangka Belitung Islands, Jambi, West Nusa Tenggara and DI Yogyakarta with each 100%. Meanwhile, three provinces with lowest coverage were West Papua (68.34%), Papua (71.71%) and West Sumatera (78.31%). Data of basic immunization on infants by province in 2010 can be seen in Annex 4.25.

Riskesdas 2010 notes that infants aged 12‐23 months getting measles immunization was 74.4%. Three provinces with highest coverage were DI Yogyakarta (96.4%), Riau Islands (92.1%) and North Sulawesi (90%).

Education and expenditure per capita relate to percentage of infants aged 12‐23 months getting complete basic immunization, including measles. The higher education level of head of family is the higher coverage of infants getting immunization. It is the same situation to expenditure per capita. The higher expenditure per capita is the higher infants getting basic immunization. There was difference of coverage between urban and rural. Percentage of all type basic immunization in urban was higher than in rural. Table 4.1 will describe this relation.

TABLE 4.1 PERCENTAGE OF CHILDREN AGED 1223 MONTHS GETTING BASIC IMMUNIZATION

BY RESPONDENT CHARACTERISTIC, 2010

Characteristic Type of Immunization BCG Polio4 DPT-HB3 Measles

Type of Area Urban 85.3 73.4 67.9 78.6 Rural 70.2 60.0 55.9 70.2 Education of Head of Family Not Schooling 63.9 50.9 43.7 56.3 Not complete Primary School 66.5 54.2 51.5 65.0 Primary School Graduate 73.9 62.0 56.8 69.7 Junior High Graduate 78.9 70.2 65.2 77.5 Senior High Graduate 84.9 73.7 69.3 81.3 Higher Education Graduate 91.5 80.5 74.1 85.5 Expenditure per Capita 1st Quintile 67.9 54.7 51.7 65.0 2nd Quintile 76.0 64.5 59.1 71.4 3rd Quintile 81.2 72.4 66.9 77.8 4th Quintile 82.3 73.3 68.2 80.8 5th Quintile 90.9 78.8 72.5 86.3


Achievement of Universal Child Immunization (UCI) is basically a proxy to coverage of complete basic immunization to infants (0‐11 months). UCI village is a description of village (desa/kelurahan) with ≥ 80% infants had got complete basic immunization in a year. In strategic plan (Renstra) of Ministry of Health 2010‐

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2014, UCI target in 2010 is 80%, while minimum service standard (SPM) sets UCI target of 100% for every district/municipality in 2010.

Graph 4.24 presents percentage of UCI village that had not shown significant improvement during the last six years. The highest achievement was in 2005 with 76.23%. Average coverage of UCI village in 2010 was 75.31%. Three provinces with the highest coverage in 2010 were DI Yogyakarta (100%), Bali (99.72%) and DKI Jakarta (99.25%), while three provinces with the lowest coverage were West Papua (40.05%), North Maluku (50.63%) and Aceh (52.67%). UCI village achievement by province 2008‐2010 is in Annex 4.24.

GRAPH 4.24 COVERAGE OF UCI VILLAGE IN INDONESIA, 20042010


Of 33 provinces, 13 had met Renstra target in 2010 that the coverage of UCI village is 80%. There were 6 provinces with coverage <60%, those were Aceh, Riau, Central Sulawesi, North Maluku, West Papua and Papua.

Ideally, infants get basic immunization based on their age so it can optimize the immune of the body to fight immunization‐preventable diseases. In reality, not all infants get complete basic immunization. We call it as immunization drop out. DPT1‐Hb is the first type of vaccination injected to infant, while Measles vaccine is the last vaccination injected to infant. Infants who get Measles vaccination are assumed having got complete basic immunization. Therefore, immunization drop out rate can be calculated from percentage of declining measles immunization coverage to DPT1‐Hb coverage.

During the past five years, national drop out continued to deacrease, from 9.3% in 2005 to 4.8% in 2010. Provinces with lowest drop out rate were Jambi, DI Yogyakarta and Bengkulu, while provinces with highest drop out rate were West Papua, Southeast Sulawesi and West Sumatera.

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Drop out rate of DPT‐Hb1‐measles immunization 2006‐2010 can be seen in Graph 4.25 below, and detail drop out rate of DPT‐Hb1‐measles immunization in 2010 by provinsi is in Annex 4.28.

GRAPH 4.25 DROP OUT OF DPTHb1–MEASLES IMMUNIZATION ON INFANTS



b. Immunization to Pregnant Women

Tetanus is caused by toxin which is produced by Clostridium Tetani bacteria. It can infect newborn (Tetanus Neonatorum) during delivery or umbilical cord treatment. Tetanus is one cause of infant mortality in Indonesia.

Many pregnant women live in remote areas with not sterile condition for delivery. This condition develops risk of Tetanus to mother and infants.

Maternal and Neonatal Tetanus Elimination (MNTE) is a Tetanus elimination program to neonates and eligible women, including pregnant women. Strategies to eliminate maternal and Neonatorum Tetanus are 1) safe and hygienic delivery assistance; 2) equally distributed and high coverage of regular TT immunization; and 3) surveillance.

Some problems of TT vaccination to eligible women are: not optimum screening process, recording process started from cohort of reproductive age women (both pregnant and not pregnant productive age women) has not the same yet, and coverage of TT2 immunization to pregnant women is lower than coverage of 4th visit (K4).

In 2010, three provinces with highest coverage of pregnant women got TT2+ immunization were Bali (103.44%), West Java (90.08%) and Banten (89.19%), while province with the lowest coverage was East Java (27.64%).

Graph 4.26 shows that coverage of TT2 immunization 2003‐2007 tended to decrease. Since the last 4 years, coverage of TT2 immunization increased from 26% in 2007 to 70% in 2010. It becomes the highest coverage since the last five years.

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GRAPH 4.26 COVERAGE OF TT2+ IMMUNIZATION TO PREGNANT WOMEN IN INDONESIA

20032010


Riskesdas 2010 notes that nationally 47.2% pregnant women got TT immunization for at least twice during pregnancy. It ranges from 22.8% to 71.4%.

From total 33 provinces, 3 provinces had coverage more than 70%, North Sulawesi, Central Kalimantan and Maluku, 12 provinces had 50%‐70% and the remains had <50%. By type of area, coverage of TT2+ immunization to pregnant mother in rural was slightly higher (49.8%) than in urban (44.9%). Percentage of women got TT during pregnancy of their last child by province based on Riskesdas 2010 can be seen in Annex 4.31.

Some important efforts are socialization to all officer referring to quality Antenatal Care (ANC), such as TT immunization, and T1‐T5 recordings in TT immunization to married women aged 15‐49 years and pregnant women.

4. Drug Availability

Program to increase the availability of drugs and vaccines is implemented as a mandate set forth in Presidential Instruction (Inpres) No. 3/2010 concerning Justice Development Program (Program Pembangunan yang Berkeadilan). Drug or medicine is one basic need in developing community health status and public good that its availability needs to be guaranteed to meet health service. In order to support the program, buffer stock of drug should be held to ensure drug availability, equity of service, the quality of drug and medical supplies to public.

In planning and preparing needs of drugs for buffer stock, data of needs from district/municipality is required. For the calculation, drug should be available for at least 18 months, assuming 12 months for drug needs in one fiscal year and 6 months for waiting session until rpocurement in the next fiscal year. List of drugs attached to calculation includes 135 types of drugs and 9 types of vaccine recapitulated per district/municipality in 33 provinces.

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Annex 4.43 and Annex 4.44 show drugs need by 144 types of drug and availability level. From those 144 types of drug and vaccine, there were only 8 types of drug had availability of 50% and more. Other 134 had less than 50%. Highest percentage of drug availability was on Polivalen injection Anti‐snack venom Serum 50ml (ABU II) with 77%, while other drugs and vaccines had the availability <60%. Target of MoH strategic planning (renstra) for drug availability in 2010 is 80%. Eight types of drug met the availability of 50% are Polivalen injection Anti‐snack venom Serum 50ml (ABU II), anti‐parkinson DOEN tablet combination: Karbidopa 25 mg + Levodopa 250 mg, Fenobarbital tablet 30 mg, Ketamine Injection 10 mg/ml, Chlorpromazine Injection i.m 5 mg/ml‐2ml (HCL), Magnesium Sulfate inj (IV) 20%‐25 ml, Primaquine tablet 15 mg, Reserpine tablet 0.10 mg and Trihexyphenidyl tablet 2 mg.

B. REFERRAL HEALTH CARE

Some main activities of individual health efforts are improvements of referral sevices, health service for poor people of 3rd class in hospital, coverage of emergency care, etc.

1. Health Service Indicator in Hospital

Success of hospital services is indicated through facilities utilization, service quality and efficiency. Some standardized indicators related to health service in monitored hospital include hospital bed utilization or Bed Occupancy Rate (BOR), average length of day care or Length of Stay (LOS), average bed use or Bed Turn Over (BTO), average interval of bed usage or Turn Over Interval (TOI), percentage of dead patient discharge or Gross Death Rate (GDR) and percentage of patient discharge that died after ≥ 48 hours of care or Net Death Rate (NDR).

According to DG of Health Efforts, BOR in general hospital (managed by Ministry of Health and local government) until 2009 tended to increase, although during 2003‐2006 Indonesia had not met the ideal percentage (60‐85%). In 2007 and 2008, national BOR met the ideal target, but then in 2009 it significantly decreased from 79.8% in 2008 to 58.7% in 2009. From 33 provinces, only 17 provinces met the ideal BOR, and no province had BOR more than 85%. Data on the bed utilization in hospitals managed by private, Indonesian armed forces and state‐owned enterprise are not available.

BTO or Bed Turn Over is frequence of bed utilization in one period (usually one year), how many times beds are used within one cetain time unit. Ideally, in one year, one bed is averagely used 40‐50 times. In 2009, BTO in hospital had not met ideal target, with only 25 times. For the last 2 years, BTO in Indonesia was usually between 40‐50 times. In 2009, from 31 reporting provinces, only 2 provinces had ideal BTO, those were Bali (45.7 times) and Jambi (43.4 times).

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Bed utilization in hospital since 2003‐2009 can be seen in Graph 4.27 below.

GRAPH 4.27 ACIEVEMENT OF BOR AND BTO IN GOVERNMENT HOSPITALS


Source: DG of Medical Care, MoH RI

Remarks: BOR = Bed Occupation Rate BTO = Bed Turn Over

LOS or Length of Stay is average of patient stay in hospital. This indicator describes not only efficiency level but also service quality. When it is applied on certain diagnosis, it can be something that need to be observed. In general, the ideal LOS is 6‐9 days. Graph 4.28 shows national average LOS during 2003‐2009 ranging from 4‐5.3 days (had not met the ideal target). By province, West Kalimantan had the highest LOS with 5.6 days, and Bangka Belitung Islands had the lowest LOS with 3.1 days.

GRAPH 4.28 ACHIEVEMENT OF LOS AND TOI IN HOSPITALS IN INDONESIA

20032009

Source: DG of Medical Care, MoH RI

Remarks LOS = Length of Stay TOI = Turn over Interval

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Other indicator of hospital service is TOI. Turn over Interval is average day when hospital bed is unoccupied, counted from the last usage to reused (average length of unoccupied bed from one patient to the next one). Ideally, the bed is unoccupied only for 1‐3 days. During 2003‐2009, TOI in hospital ranged from 2.9‐6.3 days. Only in 2007 and 2008 it had the ideal of 1‐3 days. In 2009, TOI of beds in Indonesia had interval of 6.3 days unocupied. By province, only Bali (2 days) and Jambi (2.6 days) had the ideal TOI.

GDR or Gross Death Rate is adalah a general death rate for every 1000 discharged patients from a hospital. It does not consider how many days a patient stays in hospital from the first day to death. The ideal GDR is < 45 per 1,000 discharged patients. In 2010, GDR in Indonesia was 38.8 deaths per 1000 discharged patients. From 31 reporting provinces, 6 provinces had GDR > 45 per 1000 discharged patients, those were West Sulawesi (62), West Sumatera (58.1), South Sulawesi (48.9), Maluku (48.2), DI Yogyakarta (46) and Riau (45.1).

GRAPH 4.29 ACHIEVEMENT OF GDR AND NDR PER 1000 DISCHARGED PATIENTS IN HOSPITAL


Source: DG of Medical Care, MoH RI Remarks:

NDR = Net Death Rate (per 1000 discharged patients) GDR = Gross Death Rate (per 1000 discharged patients)

NDR or Net Death Rate is mortality rate of patients after treated ≥ 48 hours per 1,000 discharged patients. This indicator describes quality service in hospitals. It is assumed that if a patient dies after treated 48 hours, it might be hospital service factor related to patient’s death. But if a patient dies less than 48 hours treatment, it could be mainly caused by the delays of patient coming to hospital. The ideal NDR is < 25 per 1,000 discharged patients. Since 2005‐2010, NDR ranged from 18‐23.6 per 1000 discharged patients. Therefore, NDR in Indonesia had met the ideal target < 25 per 1000 discharged patients.

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2. Community Health Insurance

The purpose of Jamkesmas (community health insurance) is to improve access and quality of health service to poor and almost poor community in order to achieve optimum community health status efficiently and effectively. This health insurance is expected to reduce maternal mortality rate, infant and underfive mortality rates as well as births rate and provide health problem treatment to poor people generally. This program has been running for five years and providing advantages to improvement of health service access to poor and almost poor community in health center and its network as well as in hospital.

Jamkesmas 2010 is a continuation of the implementation in 2009 to refine and improve aspects of participation, health service, funding and organizational management. It is manged in Jamkesmas Guideline (Pedoman Pelaksanaan Jamkesmas) through Health Ministerial Decree No: 686/Menkes/SK/VI/2010 on 2 Juei 2010.

Jamkesmas 2010 membership covered 76,400,000 poor and almost poor people, which 73,726,290 memberships included in Regent/Mayor Decree (SK) and the remain 2,673,710 memberships, such as homeless, vagrant, beggar, waif children, social institution, prisoners, disaster victims on post‐disaster emergency response, member of Program Keluarga Harapan (PKH), etc included in non Regent/Mayor Decree (SK).

Since 2005 to 2007, target of Jamkesmas (total number of poor and almost poor people) had been increasing, except in 2007‐2010 the target is 76.4 million people. Provinces with the biggest target are Central Java, West Java and East Java. Graph 4.30 shows realization of health insurance program 2005‐2010.

GRAPH 4.30 REALIZATION OF JPKM PROGRAM

2005 – 2010

Souce: Center for Managed Care, MoH RI

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In 2010, there were 36.23 million visits of Jamkesmas member to outpatient health servis, including 31.49 million visits of 1st level outpatient care and 4.74 million visits of advanced outpatient care. Number of outpatient visit in 2010 was relatively higher than previous years. In 2010, inpatient care of Jamkesmas member reached 2.1 million visits, including 1.19 milions of 1st level inpatient care and 0.91 millions of advanced inpatient care.

By age group, the most Jamkesmas member is teens (age of 11‐15 years, numbered 10.22%), then it propotionally decreased in older age group, and increased in age group ≥76 years (2.97%), as shown in Graph 4.31. It shows that Jamkesmas covers protection to high‐risk and susceptible age group on health. Targets of MDGs on health, such as pregnant women, infants, underfive and elderly of poor and almost poor people, have been protected and ensured by government to get health insurance through Jamkesmas Program.

GRAPH 4.31 NUMBER OF JAMKESMAS MEMBER BY AGE GROUP AND SEX

IN 2010

Souce: Center for Managed Care, MoH RI

By sex, there is no significant difference of Jamkesmas members. The greatest difference of proportion occurred on age group of 71‐74 years with 9% difference and on age group of ≥75 years with 8%.

C. DISEASES CONTROL AND PREVENTION

1. Polio Control

The 41st WHA (World Health Assembly), 1988 attended by health ministers of WHO member states, declared global polio eradication initiative to eradicate polio in 2000. This initiative is then supported by World Summit for Children in 1989, where Indonesia was also the signatory. The eradication is not only to prevent Polio but also means wider, which is to cut transmission of wild polio virus in the world.

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Polio Eradication is a condition where indigenous wild polio virus not found for 3 years in a row on certain region, proved by AFP surveillance based on sertification standard. Backgrounds of Polio Eradication are:

1. Human is the only reservoir and no longterm carrier on human. 2. Polio virus can not survive in environment. 3. Availability of vaccine which is > 90% effective and easily given. 4. Operationally applicability.

During the past 10 years, there is no AFP case of wild polio virus found in Indonesia. AFP surveillance has been conducted in Indonesia since the middle of 1995. By 2002, the achievement kept fluctuating, but it started to indicate significant improvement since surveillance officer is available in province.

Polio control and prevention have been implemented through polio immunization. It is then followed by epidemiologic surveillance actively to Acute Flaccid Paralysis (AFP) cases on age group <15 years in certain period to detect possibility of wild polio virus in community through fecal specimen of AFP cases found. AFP surveillance to population aged < 15 years during 2003‐2010 nationally gives description as in Graph 4.32 below.

GRAPH 4.32 PERCENTAGE OF ADEQUATE SPECIMEN DISPATCH

AND NON POLIO AFP RATE, 2003 – 2010


Every AFP case found in surveillance intensification will be referred to fecal specimen examination to detect wild polio virus in community. Graph 4.32 shows that percentage of adequate specimen dispatched for polio virus detection was increased. Therefore, the detection result became more representative to the real condition.

Target of non Polio AFP rate has been set to ≥ 2 per 100,000 children aged < 15 years, and target of adequate specimen standard is >80%, which means that minimum 80% fecal specimen must be taken in accordance with the requirements of ≤ 14 days after paralysis, and when specimen arrive at laboratory, its

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temperature must be between 0‐8ºC. Therefore, since 2003 to 2010, adequate specimen has met WHO target, except in 2006 with 79.10%.

Provinces having met WHO target of non polio AFP rate ≥ 2 per 100,000 children aged < 15 years and adequate specimen are presented in Graph 4.33.

GRAPH 4.33a NON POLIO AFP RATE / 100,000 CHILDREN AGED < 15 YEARS

BY PROVINCE, 2010

GRAPH 4.33b PERCENTAGE OF ADEQUATE SPECIMENT DISPATCH

BY PROVINCE, 2010



2. Pulmonary Tuberculosis

Four main purposes of Pulmonary TB control in Millenium Development Goals (MDGs) are: 1) to reduce incidence rate of Pulmonary TB by 2015; 2) to halve prevalence and death rate by 2015, comparing to 1990; 3) to detect and cure at least 70% cases of Pulmonary TB AFB+ with DOTS (Directly Observed Treatment Shortcourse Chemotherapy); and 4) at least 85% of succes rate.

DOTS is a short‐course Pulmonary TB therapy with direct observation. This therapy should accelerate the healing process. It emphasizes on the important of observing directly the patient to take medicines in the right combinantion for the the correct duration until successfully healed. DOTS strategy contributes high success rate, rising to 95%. This strategy is recommended globally by WHO to control Pulmonary TB.

a. Proportion of Pulmonary Tuberculosis AFB+ to Examined Suspect Case

Government efforts to control pulmonary TB in every year significantly shows progress, and it is indicated by the increasing of cases detected and cured every year.

Subject to the target, percentage of Pulmonary TB AFB+ is estimated 10% of suspect cases in community with tolerating rate between 5‐15%. When the percentage is lower (< 5%), it might be caused by loose suspect detection, such as many cases do not meet suspect criteria, or many mistakes occur in laboratory examination (fake negative result). On the contrary, when the percentage is too high (> 15%), it could be because of too strict detection process or errors during laboratory examination (fake negative result). Therefore, since 2005‐2010 pecentage of AFB+ to suspect cases was still within the tolerable limit. It means the criteria to detect suspect case has been good enough and the health personnels could diagnose AFB+ cases based on standard.

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Graph 4.3 shows percentage of pulmonary TB AFB+ to pulmonary TB suspect cases from 2005‐2010. For the last six years, the highest percentage of pulmonary TB AFB+ to pulmonary TB suspect cases was in 2005 with 13.01% and the lowest was in 2008 with 10.5%.

GRAPH 4.34 PERCENTAGE OF AFB+ TO SUSPECT CASES

20052010


Proportion of pulmonary TB AFB+ to examined suspect cases by province in 2010 is presented in Graph 4.35.

GRAPH 4.35 PERCENTAGE OF PULMONARY TB AFB+ TO SPUTUMEXAMINED SUSPECT CASES

BY PROVINCE, 2010


There were 30 provinces with percentage 5‐15%, while 3 provinces had percentage >15%, those were North Maluku, Riau Islands and DKI Jakarta.

b. Case Detection Rate (CDR) and Success Rate (SR)

Case detection rate indicates detection of pulmonary TB AFB+ to suspected cases. Gambar 4.36 shows tendency of case detection rate. During 2000‐2010, CDR

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has increased significantly from 20% in 2000 to 78.3% in 2010, which is the highest achievement for the last 11 years. Meanwhile, standard of TB case detection (CDR) is 70%. Therefore, since 2006 to 2010 (except 2007) Indonesia had met the target and maintained the position. Target of strategic plans (Renstra) on case detection indicator in 2010 is 73%. It means national achievement in 2010, which was 78.3%, had met the target.

GRAPH 4.36 PERCENTAGE OF CASE DETECTION RATE AND SUCCESS RATE OF PULMONARY TB



The success of TB therapy is indicated by the obedience and regularity on treatment, physical and laboratory check up. Success rate during 2000‐2009 has met WHO SR target of minimum 85%, and even in 2009 it reached 91.2%.

Success Rate of TB therapy in 2010 (patient in 2009) by province is presented in graph below.

GRAPH 4.37 PERCENTAGE OF SUCCESS RATE OF PULMONARY TB

BY PROVINCE IN 2010 (TREATMENT IN 2009)


TARGET OF SUCCESS RATE : 85%

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There were 27 of 33 provinces (82%) with treated patients of 2009 got success rate 85% in 2010. Three provinces with the highest SR were Maluku (96.9%), North Sulawesi (96.1%) and North Sumatera (96.1%). The remaining 6 provinces having not met the SR target of 85% were West Papua, Papua, Riau Islands, Riau, DI Yogyakarta and North Maluku.

3. Acute Respiratory Infection (ARI) Control

Acute Respiratory Infection (ARI) is the most death cause on infant and underfive. This is the mortality survey of ARI subdirectorate in 2005 in 10 provinces mentioning that with 22.30% (of all infant deaths) pneumonia was the most cause of death on infants in Indonesia. Pneumonia was also the main cause of death on underfives with 23.60%. Mortality study in Riskesdas 2007 indicates proportion of infant mortality (post neonatal) caused by pneumonia was 23.8% and of underfives mortality was 15.5%.

ARI control program (P2 ISPA) determines ARI into pneumonia and not pneumonia. Pneumonia is cathegorized by serious level into severe pneumonia and non severe pneumonia. Cough‐cold diseases such as rynitis, pharyngitis, tonsillitis and other upper respiratory infections are cathegorized as not pneumonia. Etiology of those upper respiratory infections mostly are virus and do not need antibiotic therapy. Pharyngitis by Streptococcus is rarely found in under‐fives, but when it is found, it must be treated with penicillin. All acute ear‐related inflammations must get antibiotic.

ARI control program (P2 ISPA) determines all cases found should be managed due to the standard. Therefore, ARI case detection also represents ARI case management.

Nationally, pneumonia detection rate on underfives has not met the target as presented in Graph 4.38 below.

GRAPH 4.38 COVERAGE OF PNEUMONIA CASE DETECTION ON UNDERFIVE



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Average coverage of pneumonia case detection on underfive in 2010 was 23%, which means still far from target of 2010 with 60%. Three provinces with the highest coverage were West Nusa Tenggara (64.49%), South Kalimantan (49.60%) and West Java (48.65%).

Since 2005 to 2010, coverage of pneumonia case detection had been low. Some problems appear during efforts of rising under‐five pneumonia detection in Health Center, as follow: a. Most program management and ARI officer in polyclinic have not been

trained because of limited budget and high mutation of officers. b. Data manajemen:

Under reported because of the confusion between diagnosis and classification of ARI (Pneumonia, Serious Pneumonia, cough non Pneumonia/common ARI), that there are many pneumonia cases classified as common ARI.

Delay of staged reporting c. Control of underfive pneumonia is still health center‐base, and pneumonia

cases have not covered cases in hospitals (government and private), clinic, private practice and other health facilities.

d. In districts and provinces, calculation errors of coverage target are still often found.

4. HIV/AIDS and STI (Sexually Transmitted Infection) Control

Health services of HIV/AIDS control are for treating cases found and also focused on the prevention efforts through early case detection and counseling.

Case detection is managed by HIV/AIDS sceening to blood donor and monitoring high‐risk of STI, such as sex workers, IDUs, prisoners, and even the low‐risk group as housewives, etc. The HIV/AIDS surveillances during past seven years are presented on Tabel 4.2 below.

TABLE 4.2 CASE DETECTION OF HIV/AIDS IN INDONESIA

2003 – 2010

Year HIV Positive AIDS Positive Death (AIDS Positive) Per year

Cummulative Per year

Cummulative Per year

Cummulative

2003 168 2,720 316 1,487 261 479 2004 649 3,369 1,195 2,682 361 740 2005 875 4,244 2,638 5,321 592 1,332 2006 986 5,230 2,873 8,194 539 1,871 2007 836 6,066 2,947 11,141 498 2,369 2008 4,969 16,110 993 3,362 2009 6,015 3,863 19,973 484 3,846 2010 4,158 24,131 693 4,539


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The development of diseases from positive HIV to AIDS is usually known as ”window period” (periode jendela), which is 12 weeks after virus get inside the body until the formation of antibody. Misunderstanding often occurs when stating of “not infected by HIV virus” (the examination not/has not detect antibody) while actually this window period is very potential in transmitting virus, and this virus is spreading very fast. For this group, re‐examination is suggested to be repeated on the next 12 week.

5. Dengue Hemorrhagic Fever (DHF) Control

Dengue Hemorrhagic Fever (DHF) is one disease which spreads fast and can cause death in short time. It is a communicable disease and often occurring as outbreak in Indonesia.

Methods to prevent DHF consist of: 1) improvement of disease and vector surveillance; 2) early diagnosis and treatment; and 3) improvement of DHF vector elimination. These methods emphasize activation of public potency to involve in mosquito nest elimination (PSN) and regular larva monitoring. The success of PSN program is indicated with Free Larva Rate (ABJ) as a measurement of vector elimination.

The most appropriate method to prevent DHF is mosquito nest elimination (PSN) through “3M plus” movement (draining water reservoir, closing water reservoir, burying unused things that can keep water) plus pouring larvasida, placing fish in water reservoir and other activities that can prevent from/destroy Aedes Aegypti breed.

Free Larva Rate (ABJ) is a measurement of vector elimination through PSN‐3M which indicates people participation in preventing DHF. Thus, community aware‐based DHF elimination is one new alternative approach to eliminate DHF.

Vector surveillance is applied through larva monitor by health personnel or skilled larva monitoring worker (Jumantik/Kamantik). Gradual development of vector surveillance system should be implemented, especially due to case distribution and climate changes. Since 2004, only some provinces reported ABJ data because the gradual larva monitoring (PJB) program has not been a priority in most areas.

Since 2004 a local sociocultural approachment is implemented, which is a method of communication/message affecting behavior changes in the implementation of PSN (Communication for Behavioral Impact/COMBI method). In 2007, PSN with COMBI method was implemented in 4 (four) cities: South Jakarta, East Jakarta, Padang and DI Yogyakarta. In 2008, it was implemented in 5 (five) district/cities: South Jakarta, Bandung City, Tangerang District, Semarang City and Surabaya City. In 2009, it was implemented in 5 cities: Bekasi, Depok, Bogor,

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Batam and Mataram. In 2010, it was implemented in 5 cities: Samarinda, Pontianak, Metro Lampung, Denpasar and Manado.

Free Larva Rate (ABJ) in 2005‐2010 which is monitored in 5 cities is presented in Graph 4.39 below.

GRAPH 4.39 FREE LARVA RATE IN INDONESIA

2005 – 2010


Graph 4.39 figures free larva rate in 2009 decreased, but increased in 2010 to 81.4%. It means the coverage in 2010 has met the target of 2010 (≥ 60%). This is a result of reports/survey only in some cities and not representing awhole Indonesia. Therefore, optimalization/revitalization of Gradual Larva Detecting in all health centers in Indonesia should be implemented.

6. Malaria Control

The rising of malaria cases and outbreak in Indonesia has close relationship with these factors: 1) environemental change which extends malaria vector nest; 2) high population mobility; 3) climate change which makes rainy season is longer than dry season; 4) prolonged economic crisis increasing number of undernutrition community that they are more risky of malaria infection; 5) ineffective therapy because of resistance of Plasmodium falciparum to klorokuin and extended resistance area; and 6) less concern and awareness of people to integrated malaria elimination program.

Malaria eradication is promoted by social movement known as “Gebrak Malaria” or fight back malaria movement that was initiated in 2000. It is an embryo of malaria control partnership to other sectors with slogan of “Ayo Berantas Malaria” (let’s fight malaria).

Malaria control in Indonesia is included in Health Ministerial Decree No. 293/MENKES/SK/IV/2009 on 28 April 2009 about Malaria Elimination in Indonesia which pusposes to develop healthy live people and gradually free people from malaria transmission by 2030. Target of malaria elimination is as follow:

TARGET 2010 ≥ 60%

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a. Seribu Islands (DKI Jakarta Province), Bali Island and Batam Island in 2010; b. Java Island, Aceh Province and Riau Islands Province in 2015; c. Sumatera Islands (exclude Aceh and Riau Islands Provinces), West Nusa

Tenggara Province, Kalimantan Island and Sulawesi Island in 2020; and d. Papua, West Papua, Maluku, East Nusa Tenggara and North Maluku in 2030.

e. Percentage of Treated Malaria

Percentage of treated malaria is a percentage of malaria case getting standard treatment in one year compared to suspect and/or positive malaria care which comes to health facility.

Percentage of treated malaria cases since 2003 to 2010 was 100%. It means all suspect and/or positive malaria cases which went to health facilities got standard treatment.

f. Achievement of Blood Supply Examination (Laboratory Confirmation)

According to coverage of laboratory confirmation, not all blood supply of malaria clinical cases were examined. During 2000-2010 percentage of blood supply examination comparing to ckinical malaria cases tended to increase significantly. In 2005, it was 47%, increasing to 63% in 2010. Coverage of malaria microcospic/laboratory confirmation during 2005‐2010 is presented in Graph 4.40.

GRAPH 4.40 COVERAGE OF MALARIA MICROCOSPIC/LABORATORY CONFIRMATION

2005 2010

Source: DG of Disease Control and Environmental Health, MoH RI 7. Leprosy Control

To evaluate personnel performance in leprosy case detection, it uses propotion rate of physical defect case at second level (due to neurogical damage and visible handicapped). The high rate of second‐level physical defect proportion indicates the delay in detecting cases, in other words, the low performance of personnel in detecting cases and lack of people’s knowledge.

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Second‐level physical defect case during 2004‐2007 was relatively stable (8.6%‐8.7%), but in 2008‐2010 it gradually increased to 10.79% (in 2010), as shown in Table 4.3. Proporsion of second‐level physical defect by 2010 had not met the target of < 5%. It means the transmission still occurred in community, and cases were lately detected since when they were found they had already had second‐level physical defect.

TABLE 4.3 POPULATION EXAMINATION, NEW CASE DETECTION RATE (NCDR) AND 2nd LEVEL PHYSICAL DEFECT IN INDONESIA, 2004 2010

Year Positive Suspect NCDR 2nd Level

Physical Defect (%)

PB MB (per 100,000population)

2004 3,615 12,957 7.8 8.6 2005 4,056 15,639 8.9 8.7 2006 3,550 14,750 8.3 8.6 2007 3,643 14,083 7.8 8.6 2008 3,113 14,328 7.41 9.6 2009 2,958 14,277 7.1 10.27 2010 3,278 13,734 7.22 10.71

Source: DG of Disease Control and Environmental Health, MoH RI Remarks : MB = Multi Basiller, PB = Pausi Basiller, NCDR = New Case Detection Rate

8. Filariasis Control

Filariasis (usually called as elephantiasis) spreads almost thoughout provinces in Indonesia. Filariasis elimination program is established based on WHO Global 2000 “The Global Goal of Elimination of Lymphatic Filariasis as a Public Health Problem the year 2020” as realization of WHA (World Health Assembly) resolution in 1997.

This elimination program is implemented through 2 pillars: 1. Mass Drug Administration (MDA) to all people in filariasis endemic districts

using DEC 6 mg/kg BB combined with Albendazole 400 mg once a year for 5 years in order to cut the transmission.

2. Case management of filariasis clinical cases to prevent and reduce physical defect. Since 2005, Implementation Unit (IU) used in Filariasis Elimination

Program is district/municipality. It means the smallest area in this program is district/municipality, both for endemicity determination and mass drug administration. When a district/municipality has been a filariasis endemic, target of mass drug administration covers all residents of the district/municipality. They have to take medicine, but it is temporarily delayed for children under‐two (2) years, pregnant woman, people with serious illness, filariasis chronic patient in acute attack and marasmus/kwashiorkor under‐five.

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Management of filariasis clinical cases should be implemented in all cases. It has purposes to prevent or reduce physical defect and motivate the patient to do self‐care. Every case has their own medical record in health center and gets health personnel visit at least 6 times a year. Percentage of filariasis clinical case management 2005‐2010 can be seen in Graph 4.41.

GRFAPH 4.41 PERCENTAGE OF FILARIASIS CLINICAL CASE MANAGEMENT

2005-2010


Activities of filariasis clinical case management tended to increase from year to year. In 2010 the management increased to 5,170 cases (43.2%). For the next years, it is targeted to increase into 90%.

Not all dastricts/municipalities could implement MDA with all population as the target. It is caused by, for example, high operational cost and not all local government had the commitment.

GRAPH 4.42

NUMBER OF DISTRICTS WITH FILARIASIS DRUG ADMINISTRATION (MDA) IN INDONESIA, 20052010


Since 2005, number of districts/municipalities implementing MDA filariasis

tended to increase every year, but in 2010 it decreased to only 88

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districts/municipalities (25%) of filariasis endemic districts/municipalities. The decreasing was caused by not available operational cost of MDA filariasis in local area and delay of medicine arrival in districts/municipalities.

Distribution of districts/municipalities of filariasis endemic, implementing MDA and successfully implemented MDA can be seen in Graph 4.43 below.

GRAPH 4.43 DISTRICTS/MUNICIPALITIES OF ENDEMIC FILARIASIS IMPLEMENTING MDA

IN INDONESIA, 2010


Coverage of MDA filariasis in Indonesia 2005‐2010 is pr in Graph 4.44.

GRAPH 4.44 COVERAGE OF MDA FILARIASIS IN INDONESIA, 20052010


In 2010, MDA target was 56 millions people, while the realization only

covered 22,052,622 (39.4%). It decreased from previous years, as shown in Graph 4.41, because the delay of medicine procurement and distribution process. Therefore, continuous advocacy to stakeholders in districts/municipalities is needed in order to get commitment and sustainable budget allocation to meet the goal of filariasis elimination in Indonesia in 2020.

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9. Vector Surveillance

One thing that must be always concerned in vector control is monitoring vector resistance to insecticide which could be used as a reference of health offices and technical units (UPT) for vector control policy in the field.

Vector control managed by private sector and domestic use of insecticide are two separate problems that can not be ignored because the uses are not monitored and would be able to accelerate the vector resistance. Today, the vector control is identical to insecticide use, though other methods are important also to be considered. This condition needs monitoring and control to insecticide use to keep the result effective.

Health Ministerial Decree No.: 374/Menkes/Per/III/2010 concerning vector control covers integrated vector control guideline (PVT), vector surveillance and tools, and vector control and tools. Integrated vector control is an approach combining some vector control methods based on considerasion of security, rationality and effectiveness as well as sustainability.

Sub Directorate of Vector Control had formed Expert Commission (KOMLI). KOMLI of vector control is a group of experts on epidemiology, environment, chemical, entomology, health human resources and vector control tools. It is an independent organization that has a function to give contribution, suggestion and considerations on vector control.

One indicator of strategic planning in 2010 is percentage of district/municipality implementing vector mapping. Result by 2010 covered 120 districts/municipalities mapping the vector (26.09%). It is still below target of 30%.

A. Malaria Vector Surveillance and Monitoring

Susceptibility Testing GRAPH 4.45

MONITORING OF MALARIA VECTOR SUSCEPTIBILITY 20072010


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Monitoring of malaria vector susceptibility from 2007‐2010 is shown in Graph 4.45, describing areas tolerant to insecticide which is used in malaria control. The tolerant areas were Aceh (An. subpictus tolerant to lambda‐cyhalothrin 0.05%), Gorontalo (An. aconitus tolerant to bendiocarb 0.1%) and East Nusa Tenggara (An. barbirostris tolerant to bendiocarb 0.1%). Those tolerant areas shall implement insecticide rotation in malaria contol program.

Malaria Vector

By 2008, number of malaria vector recorded by Sub Directorate of Vector Control and from some sources were 25 species, as shown in Graph 4.46. It recently is found An. vagus positive of malaria parasit in East Nusa Tenggara Province, Purworejo District and Sukabumi District. Some researches mention that An. vagus prefers animal blood than human blood. Therefore, other researches are needed to confirm the possibility of bionomic changes.

GRAPH 4.46 DISTRIBUTION OF MALARIA VECTOR IN INDONESIA


Remarks : 1. An.aconitus 7. An. koliensis 13. An.minimus 19. An. vagus 2. An.balabacensis 8. An.letifer 14. An.nigerrimus 20. An. umbrosus 3. An.bancrofti 9. An.leucosphyrus 15. An.punctulatus 21. An.tesellatus 4. An.barbirostris 10. An.karwari 16. An. sinensis 22. An.parangensis 5. An.farauti 11. An. Ludlowi 17. An.subpictus 23. An. kochi 6. An. flavirostris 12. An.maculates 18 An.sundaicus 24. An.ludlowi

25.An.annullaris

B. Filariasis Vector

Filariasis vectors in Indonesia are identified as 4 types of mosquitos: Culex, Anopheles, Mansonia and Aedes. The last mentioned (Aedes) is filariasis vector in Papua. Brugia timori is filasriasis that only occurs in Indonesia, especially East Nusa Tenggara province, while Brugia malayi and Wuchereria bancrofti spreads almost to all provinces in Indonesia.

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GRAPH 4.47 FILARIASIS VECTOR IN INDONESIA


C. DHF Vector Surveillance and Monitoring

Monitoring mapping of DHF vector insecticide resistance from 2004‐2009 can be seen in Graph 4.48. It shows that some areas had been resistant to Malation 0.8% and Cypermethrin 0.05%. Central Kalimantan, South Sulawesi, Bali and West Nusa Tenggara had been tolerant to Malation 0.8% and Cypermethrin 0.05%. Therefore, insecticide rotation is important during DHF control program.

GRAPH 4.48 MONITORING OF DHF VECTOR INSECTICIDE RESISTNCE

20042009.


D. COMMUNITY NUTRITION IMPROVEMENT

Improvement of community nutrition is basically intended to solve nutrition problem in community. Observations find some nutrition problems commonly in community, such as iron nutrition anemia, vitamin A deficiency and iodine deficiency disorders.

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1. Iron (Fe) Tablet Supplementation to Pregnant Woman Nutritional anemia is a deficiency of haemoglobin (Hb) in blood caused by a

deficiency of nutrients needed for the formation of this Hb. In Indonesia most anemia cases are caused by iron (Fe) deficiency that it is called as iron anemia.

Pregnant woman is one group susceptible to nutrition problem, especially anemia caused by lack of iron (Fe). SKRT (household health survey) 2001 figures anemia prevalence of pregnant woman was 40.1%, and in 2007 it decreased to 24.5% (Riskesdas, 2007). However, it indicates iron anemia still becomes one public health problem. Today, iron anemia control is focused on iron (Fe) supplementation to pregnant women. They get 90 iron tablets during pregnancy.

Coverage of pregnant woman getting iron (Fe) tablet for the last 5 years is presented on the graph below.

GRAPH 4.49 PERCENTAGE OF PREGNANT WOMAN GETTING IRON (Fe) TABLET

2006 2010


Coverage of pregnant woman getting iron tablet (Fe) during 2006‐2008 tended to decrease in every year, but it increased in 2009 and 2010. In 2010, there was 71.2% pregnant woman getting 90 Fe tablets.

Provinces on the top position with highest coverage were Bangka Belitung Islands (94.1%), Riau (91.9%) and Bali (90%), while three provinces with the lowest coverages were Papua (22.6%), West Papua (27.9%) and North Maluku (32.3%).

Distribution of iron tablet (Fe3) supplementation to pregnant woman by province can be seen in Graph 4.50.

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GRAPH 4.50 PERCENTAGE OF PREGNANT WOMAN GETTING IRON TABLET (FE3)

BY PROVINCE, 2010


This coverage of iron tablet supplementation has close relation to antenatal care (ANC). In 2010, coverage of 4th visit (K4) of pregnant women was 85.56%, while coverage of pregnant women getting Fe3 was 71.2%. Actually, one criteria of 4th visit of pregnant women is the pregnant women get 90 Fe tablets, indicated by coverage of Fe3 supplementation. Therefore, coverage of Fe3 must have been higher or at least the same as coverage of 4th visit (K4). On the contrary, coverage of pregnant women getting Fe3 is lower than coverage of 4th visit. The factor suspected as the cause is not optimum coordination of reporting and recording system among related programs.

Another thing needed to consider is the willingness of pregnant woman to swallow Fe tablet. Though the reporting figures coverage of pregnant women getting Fe3 is quite good, but if it is not swallowed by then the expected benefit of Fe tablet is not fulfilled. Generally, the expected health status could be obstructed.

Number of women swallowing 90 or more Fe tablets during pregnancy of their last underfive was only 18%. There was 36.3% woman swallowing 0‐30 Fe tablets and 19.3% woman did not swallow any Fe tablet during pregnancy of their last underfive.

Riskesdas 2010 describes percentage of women swallowing Fe tablet during pregnancy of their last underfive as shown in Graph 4.51 below.

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GRAPH 4.51 PERCENTAGE OF WOMEN SWALLOWING Fe TABLET DURING PREGNANCY OF THEIR LAST UNDERFIVE

BY NUMBER OF DAY, 2010


2. Vitamin A Capsul Supplementation

Vitamin A supplementation to underfive has a purpose to reduce prevalence of and prevent vitamin A deficiency on underfive. High doses of vitamin A have proven effectively to overcome vitamin A deficiency (KVA) in community, when the coverage is high. Other facts figure vitamin A role in decreasing infant mortality rate significantly. Therefore, in addition to prevent blindness, the important of vitamin A is associated to life survival, health and child growth. Vitamin A is important for eyes health and prevent blindness as well as develop body immunity. When children with enough vitamin A intake get diarrhea, measles or other infections, they will not get the diseases worsening and endangering their lives.

Target of high doses vitamin A are infants (6‐11 months) supplemented with Vitamin A 100,000 SI, underfives (1‐4 years) supplemented with Vitamin A 200,000 SI and postpartum mother, supplemnted with Vitamin A 200,000 SI that their newborn will get enough A through. To infants (6‐11 months), high dose vitamin A is given once a year on February or August; and to underfives, it is given once in six months at the same time on February and August; while to postpartum mother, the supplementation should be integrated with postpartum health care, but it can be also provinded outside the antenatal care, as long as she has not got vitamin A supplementation.

Coverage of vitamin A supplementation to infants and underfive for the last 4 years indicated achievements above 80%. Coverage in 2010 was the lowest for the last 4 years, both on vitamin A supplementation to infants and to underfives. On the contrary, achievement of vitamin A supplementation to postpartum mother was still under 80%, although there was a tendency of rising coverage for the last three years. Therefore, some efforts are still needed to scale up the coverage.

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Those could be improvement of integrated post‐natal care, sweeping areas with low coverage and campaigning vitamin A supplementation program.

Percentage of vitamin A supplementation to underfive and postpartum mother for the last 4 years can be seen in Graph 4.52.

GRAPH 4.52 PERCENTAGE OF UNDERFIVE AND POSTPARTUM MOTHER

GETTING VITAMIN A CAPSULE 2007 2010


The problem of vitamin A on underfive has not clinically been a community health problem (xeropthalmia prevalence < 0.5%). Micro nutrition study in 10 provinces in 2006 figured xeropthalmia prevalence on underfive was 0.13%, while vitamin A survey in 1992 showed xeropthalmia prevalence 0.33%.

Subclinic vitamin A deficiency (KVA) is a level that has not indicated real symptoms, and it still occurs in community, especially underfive group. This subclinic vitamin A deficiency can be detected by checking vitamin A level in blood in laboratory. In addition, distribution of vitamin A supplementation to underfive by province is still below 80% in some provinces. Therefore, vitamin A supplementation to underfive and postpatum mother should be continued, since it is not only for eyes health and to prevent blindness but the more important also to improve child survival, health and growth.

Provincial health office reported that coverage of vitamin A supplementation to underfive in 2010 was 81.47%. Three provinces with the highest coverage were Central Java (98.58%), Bali (95.13%) and DI Yogyakarta (92.72%), while three provinces with lowest coverage were Papua (34.87%), Maluku (40.20%) and West Papua (41.90%).

The following graph presents percentage of underfive getting vitamin A capsule by province.

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GRAPH 4.53 PERCENTAGE OF UNDERFIVE GETTING VITAMIN A CAPSULE

BY PROVINCE IN 2010


Percentage of postpartum mother getting vitamin A by province is

presented in Graph 4.54. GRAPH 4.54

PERCENTAGE OF POSTPARTUM MOTHER GETTING VITAMIN A BY PROVINCE, 2010


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From 30 reporting provinces, coverage of vitamin A supplementation to postpartum mother in 2010 was 72.46%. Three provinces with the highest coverage were Bangka Belitung Islands (91.74%), Central Java (91.72%) and Bali (91.44%), while three provinces with the lowest coverage were North Sumatera (5.58%), Papua (13.71%) and West Papua (39.79%). On the contrary, Lampung, East Java and West Nusa Tenggara were not available. Coverages of vitamin A supplementation to 0‐5 month infants, undefives and postpartum mother by province are presented in Annex 4.20.

3. Exclusive Breastfeed

The best and most appropriate way to feed an infant is by giving breastfeed exclusively since newly born to age of 6 months and continued breastfeeding until age of 24 months. Since age of 6 months, a baby gets nutritious complementary food based on the needs of baby growth and development.

Coverage of exclusive breastfeeding is affected by i.e. limited breastfeed counselor, not available regulation concerning breastfeed and not optimum education, socialozation, advocacy and campaign concerning breastfeed (ASI) and complementary feeding (MP‐ASI), not optimum group of complementary breastfeed and breastfeed assistance as well as lack of facilities for communication, information and education (KIE) of breastfed. Graph 4.55 presents coverage of 0‐5 month infants breastfed exclusively.

GRAPH 4.55 COVERAGE OF EXCLUSIVE BREASTFEED TO 05 MONTH INFANTS

BY PROVINCE, 2009

Source: BPS-Statistics Indonesia, Susenas 2009

Susenas 2009 noted 61.3% infants aged 0‐5 months breastfed exclusively had coverage ranging from 48.8% to 78.3%. Provinces with highest coverages

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were West Nusa Tenggara, Bengkulu and East Nusa Tenggara, while provinces with lowest coverages were East Java, Central Java and Aceh. Graph 4.55 shows that provinces in eastern Indonesia has coverage of infants aged 0‐5 months breastfed exclusively higher than provinces in Java and Bali islands.

Percentage of breastfeeding infants aged 0‐5 months pattern by age group can be seen in table below.

TABLE 4.4 PATTERN OF BREASTFEEDING INFANTS AGED 05 MONTHS

BY AGE GROUP, 2010

Age Group Pattern of Breastfeeding Exclusively Predominant Partially

0 month 39.8 5.1 55.1

1 month 32.5 4.4 63.1

2 month 30.7 4.1 65.2

3 month 25.2 4.4 70.4

4 month 26.3 3.0 70.7

5 month 15.3 1.5 83.2 Source: National Board of Health Research and Development, MoH RI, Riskesdas 2010 Remarks: Exclusively = feeding infants only with breastmilk Predominant = breastfeeding but having been feeding baby with water or water base, e.g. tea, as prelacteal food/drink before breastmilk comes in Partially = breastfeeding and feeding with processed food, e.g. formula milk, porridge, or other food before baby age 6 months, given as prelacteal or continued feed

The older infant is the fewer exclusive breastfeeding. There was 39.8% newborn (0 month) got breastfeed exclusively, while there was only 15.3% infant aged 5 months still got breastfeed exclusively. In predominant pattern, the lower percentage is the older infant age. On the other hand, in partial pattern, the older infant age is the higher percentage of partial breastfeeding. In the group of 0 month infant, 55.1% has been fed with other food than breastmilk.

Table 4.5 shows pattern characteristics of breastfeeding infant age 0‐5 months. By sex, percentage of baby boy breastfed exclusively was 29%, higher than percentage of baby girl breastfed exclusively 25.4%. Percentage of infant aged 0‐5 month breastfed exclusively in rural (29.3%) was higher than in urban (25.2%).

By education of family head, percentage of infant aged 0‐5 months breastfed exclusively with not‐schooling head family was 34.5%, higher than percentage of infant aged 0‐5 month breastfed exclusively with not primary school graduated family head was 31.4%. Meanwhile, percentage of infant aged 0‐5 month breastfed exclusively with higher education graduated family head was 22.4%. By household expenditure per capita, infant aged 0‐5 month from quintile 1 had the highest proportion of exclusive breastfed with 34.7%, on the contrary,

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infant aged 0‐5 month from the highest quintile (quintile 5) had the lowest proportion of exclusive breastfed with 17.5%.

TABLE 4.5 PATTERN OF BREASTFEEDING TO INFANTS AGED 05 MONTH

BY CHARACTERISTICS, 2010

exclusively predominant partial

Male 29.0 10.5 60.6Female 254 11.7 62.9

Urban 25.2 10.5 64.3Rural 29.3 11.5 59.2

Not Schooling 34.5 5.5 60.0Not Primary Graduate 31.4 10.0 58.6

Primary Graduate 26.5 12.0 61.5Junior High Graduate 29.5 8.6 61.9Senior High Graduate 24.6 13.7 61.6

Higher Education Graduate 22.4 9.7 67.9

Quintile 1 34.7 9.9 55.4Quintile 2 30.5 11.3 58.1Quintile 3 26.6 10.4 63.0Quintile 4 19.9 14.6 65.5Quintile 5 17.5 8.7 73.8

Living Place

Education of Family Head

Household Expenditure per Capita

CharacteristicsPattern of Breastfeeding

Sex


On the other hand, intensive promotion and marketing related to formula milk seems difficult to control. Many hospitals have not been supporting exclusive breastfeed, indicated by not availability of integrated treatment of mother and infant, low coverage of early initiation on breastfeeding and distribution of formula milk in hospitals.

Efforts to improve exclusive breastfeeding are increasing personnel knowledge on benefit of exclusive breastfeeding, providing breastfeeding facility in working area, improving mother skill and knowledge, developing family and community supports and how to control distribution of formula milk. In addition, another impotant thing is by applying 10 ways to achieve breastfeeding success (LMKM) in hospital and other health facilities that providing delivery care.

The 10 ways are: 1) making breastfeeding; 2) training staff in health facilities; 3) education, information and communication (KIE) to pregnant woman on benefits and management of breastfeeding; 4) helping mother to early initiate breastfeeding within first 60 minutes after delivery process; 5) assisting mother how to breastfeed and keep it though mother and baby are placed separately; 6) only feeding breastmilk to newborn, except when there is medical indication; 7) applying integrated mother‐baby care for the whole day (24 hours); 8)

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encouraging mother to breastfeed based on baby demand; 9) not providing grease nipple to baby; and 10) encouraging the establishment of breastfeeding supporting team and referring mother to join the team as soon as discharging from health facility.

4. Coverage of Underfive Weighing in Posyandu (D/S)

Coverage of underfive weighing in Posyandu (D/S) is an indicator related to coverage of nutrition care to underfive, coverage of primary health service, especially immunization and prevalence of malnutrition. The higher coverage of D/S is the higher coverage of vitamin A, and the higher coverage of immunization is the lower prevalence of malnutrition.

According to report from provincial health offices, in 2010 coverage of underfive weighing in Posyandu was 67.87%. Target of Strategic Planning (Renstra) in 2010 was 65%. It means percentage of underfive weighing in Posyandu nationally had met the target. From 33 provinces, 16 provinces (48.5%) had met the target. Coverage of underfive weighing in Posyandu by province in 2010 is presented in Graph 4.56.

GRAPH 4.56 PERCENTAGE OF UNDERFIVE VISIT AND WEIGHED IN POSYANDU (D/S)

BY PROVINCE, 2010


Three provinces with highest coverage of underfive weighing in Posyandu were North Sulawesi (84.89%), Central Java (82.54%) and East Java (77.70%), while three provinces with lowest coverage were Papua (31%), West Papua (33.23%) and East Kalimantan (35.96%).

TARGET RENSTRA 2010 D/S : 65%

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Riskesdas 2010 indicates national coverage of weighing underfive (age 6‐59 months) on the last 6 months was 76.3%. Graph 4.57 shows that most provinces (21 provinces) had met target of D/S in 2010 with 63.6%.

GRAPH 4.57 PERCENTAGE OF WEIGHING UNDERFIVE (AGE 659 MONTHS) FOR THE LAST 6 MONTHS (D/S)

BY PROVINCE, 2010


By age, the older age of infant is the lower percentage of weighing for the last 6 months. In group of age 6‐11 months, the percentage of weighing reached 90.3%, but in group of age 48‐59 months, the percentage of weighing was 66.2%. By type of area, percentage of weighing underfive aged 6‐59 months living in urban (for the last 6 months) was 81% higher than those in rural with 71.2%.

By education, the higher education level of family head is the higher coverage of weighing infant aged 6‐11 months (for the last 6 months). In age group of 6‐11 months with not schooling family head, the coverage of weighing was 66.7%, while those with higher education graduates had coverage of 82.2%. By household expenditure per capita, the higher level of expenditure is the higher percentage of weighing infant aged 6‐11 months for the last 6 months.

By place of weighing, nationally most underfive aged 6‐59 months for the last 6 months was weighed in Posyandu, which was 80.6%. In Gorontalo, North Maluku, West Nusa Tenggara and DI Yogyakarta, more than 90% underfive aged 6‐59 months was weighed in Posyandu. Three provinces with highest percentage of underfive aged 6‐59 months weighed in Hospital for the last 6 months were DKI Jakarta (14.6%), Central Kalimantan (10.3%) and East Kalimantan (10%).

E. HEALTH SERVICE IN POSTDISASTER SITUATION

Disaster in Indonesia is classified into 2 categories. They are environmental and natural disasters. Environmental disaster occurs as results of environment damage. It includes flood, landslide, drought, land and forest burning, industrial accident, and oil spilling on sea. On the other hand, natural disaster occurs as earth crust activities or natural phenomenon, such as earthquake, tsunami, volcanic eruption and storm that are unpredictable. Number of victims and displaced

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people by type of disaster and victim condition in 2010 can be seen in Graph 4.58 below.

GRAPH 4.58 NUMBER OF VICTIMS BY VICTIM CONDITION IN 2010

Source: Center for Crisis Response, MoH RI

According to Center for Crisis Response, Ministry of Health, during 2010, flood was the most disaster occurred in 27 provinces in Indonesia. It had killed 33 people, injured seriously 59 people that need inpatient care, injured slightly 26,565 people that need outpatient care and caused 12 people missing and 90,604 people internally displaced.

Disaster that caused the most victims was volcano eruption, occurring in 4 provinces. Number of victims during 2010 was 382 died, 2,787 seriuosly injured (need inpatient care), 63,286 slightly injured, 4 missing and 8,159 internally displaced. However, disaster causing the most victims was earthquake and tsunami, which killed 509 people. Disaster by type and number of victims in 2010 can be seen in Annex 4.42.

That is description of health efforts in Indonesia until 2010.

***

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Health resource is one supporting factor for the provision of quality health

services, which are expected to improve community health status. In this chapter, health resources are reviewed by presenting situation description of health facilities, health personnel, and health financing.

A. HEALTH FACILITIES

Health facilities which are presented in this chapter include: health centers, hospitals (public hospitals and specialty hospitals), facilities of Health Effort Community Based (Ind=UKBM), facilities of pharmaceutical production/distribution and medical devices, as well as educational institutions of health personnel. 1. Health Center

Health Center or Puskesmas is one of the technical implementation units of the District/Municipality Health Office. Health Center as a first‐level health care units and leading in the health care system, should make efforts mandatory health and some selected health efforts accordance to the conditions, needs, demands, capabilities and innovation as well as local government policy. Health center has functions as: 1) development center with health oriented, 2) community empowerment center, 3) community primary health care center, and 4) individual primary health care center.

Number of health centers in Indonesia recorded until the end of 2010 were as many as 9,005 units, with details of the number of inpatient health centers 2,920 units and outpatient health care as much as 6,085 units. One of the indicators used to determine affordability to health center is the ratio of health center per 100,000 population. In the period 2006 to 2010, this ratio indicated an increase. Ratio of health center per 100,000 population in 2006 was 3.61, in the year 2010 increased to 3.79, as shown in Graph 5.1 below.

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GRAPH 5.1 RATIO OF HEALTH CENTER PER 100.000 POPULATION, 20062010

Source : Center for Data and Information, MoH RI

Ratio of health center per 100,000 population by province shows that the highest ratio in 2010 was in West Papua, amounting to 13.94, while the lowest ratio in Banten, amounting to 2.04. Description of health center ratio by province in 2010 can be seen in Graph 5.2. While the details of the number and ratio of health center per 100,000 population by province in 2010 can be found in Annex 5.1.

GRAPH 5.2

RATIO OF HEALTH CENTER PER 100.000 POPULATION, 2010


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In an effort to improve the quality of public health services in health centers, some outpatient health centers have improved the status to be inpatient health centers. The number of inpatient health centers in 2009 as many as 2,704 units increased to 2,920 units in 2010. The development of inpatient and outpatient health centers in the year 2006‐2010 can be seen in Graph 5.3. Details regarding the amount of inpatient and outpatient health centers by province can be seen in Annex 5.2.

GRAPH 5.3 NUMBER OF HEALTH CENTERS WITH BEDS (INPATIENT) AND WITHOUT BED (OUTPATIENT)

2006 – 2010


To improve health care outreach of health centers in their working areas, health centers are supported by health care facilities in the form of sub health centers (Ind=Puskesmas Pembantu=Pustu). Number of Pustu in 2010 was reported as many as 23,049 units with a ratio of 2.6 Pustu to health center. Details for number of Pustu by province in 2010 can be found in Annex 5.2.

2. Hospital

The scope of health development in addition to promotive and preventive efforts, there are also curative and rehabilitative health development. The hospital is a health care to the community engaged in curative and rehabilitative activities. The hospital also serves as referral health care facilities.

In 2010 the number of hospitals in Indonesia were as much as 1,632 units, which consist of general hospitals (Ind=RSU) amounted to 1,299 units and specialty hospitals (Ind=RSK) amounted to 333 units. The hospitals are managed by the Ministry of Health, provincial government, district/municipality governments, military/police, other ministries/state‐owned enterprises and private sector.

From 2006 to 2010 there were an increasing number of hospitals, both general hospitals and specialty hospitals. Over the last 5 years, the number of hospital increased by 26.32% from 1,292 units in 2006 to 1,632 units in 2010.

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Table 5.1 below shows the development of the number of hospitals (general and specialty hospitals) in Indonesia from 2006 until 2010. While the total number of hospitals in 2010 according to organizer/ownership and province can be seen in Annex 5.3.

TABLE 5.1 NUMBER OF HOSPITALS (GENERAL & SPECIALTY)


No Organizer/Ownership 2006 2007 2008 2009 2010

1 Ministry of Health and Government of Province/District/Municipality

464 477 509 552 585

2 Army/Police 112 112 112 125 131

3 State Ownership/Other Ministries 78 78 78 78 78

4 Private 638 652 673 768 838

Total 1,292 1,319 1,372 1,523 1,632

Source: DG of Health Effort, MoH RI During the last period of 5 years (2006‐2010) the number of general hospitals

managed by both government and private sector institutions had increased, in 2006 there were 1,012 units increased to 1,299 units in 2010. Number of public hospitals in Indonesia according to manager can be seen in Annex 5.4. Development of general hospital (Ind=RSU) in Indonesia during the last 5 years can be seen in Graph 5.4.

GRAPH 5.4 NUMBER OF GENERAL HOSPITALS


Source: DG of Health Effort, MoH RI

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General hospitals which managed by the Ministry of Health and local governments shows that most general hospitals belonging to class C‐hospitals. From the total 506 general hospitals, there were 250 units (49.41%) of class C, 126 units (24.90%) of Class D, 120 units (23.72%) of class B, and 10 units (1.98%) of Class A. Graph 5.5 as follows presents the percentage of general hospital (Ind=RSU) by class of hospital.

GRAPH 5.5 NUMBER OF GENERAL HOSPITALS

OWNED BY MINISTRY OF HEALTH AND LOCAL GOVERNMENTS BY CLASS 2010


There were 10 general hospitals for the Ministry of Health and local

governments, including Class A, which were present in 9 cities of Medan, Palembang, Jakarta, Bandung, Semarang, Yogyakarta, Surabaya, Denpasar and Makassar. More detailed information regarding the number of general hospitals managed by the Ministry of Health and local governments by hospital class and province can be seen in Annex 5.5.

Number of specialty hospitals (Ind=RSK) both public and private hospitals in the period 2006‐2010 showed an increase. In 2006 there were 280 units of specialty hospitals, increased to 333 units in 2010. The number of RSK during the last 5 years can be seen in Graph 5.6.

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GRAPH 5.6 NUMBER OF SPECIALTY HOSPITALS



Most of those specialty hospitals were Maternal and Children Hospitals were

107 units, Maternity Hospitals as many as 65 units and Mental Hospitals as many as 51 units. Details can be seen in Graph 5.7. Number of specialty hospitals and inpatient beds years 2006‐2010 can be seen in Annex 5.6.

GRAPH 5.7 NUMBER OF SPECIALTY HOSPITALS IN INDONESIA, 2010

Source: DG of Health Effort, MoH RI Number and ratio of hospital beds to population can be used to describe the

capacity of hospitals to provide health services to community, including as a referral health care facilities. Number of beds in general hospitals and specialty hospitals in the last 5 years have showed an increase. Description of those improvement can be seen in Graph 5.8 below.

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GRAPH 5.8

NUMBER OF HOSPITAL BEDS IN GENERAL HOSPITALS AND SPECIALTY HOSPITALS


Source: DG of Health Effort, MoH RI The ratio of hospital beds to population from the year 2006‐2010 was also

increased, the ratio in 2006 of 63.25 rising to 69.97 per 100,000 population in 2010. Graph 5.9 presents the number of beds and ratio of beds per 100,000 population in hospital in the year 2006‐2010.

GRAPH 5.9 NUMBER OF HOSPITAL BEDS AND

RATIO OF HOSPITAL BEDS PER 100,000 POPULATION, 2006 – 2009


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Proportion of beds in general hospitals and specialty hospitals according to class treatment shows that most of all were Class III hospitals, amounting to 39.5%, followed by 20.2% for Class II and 10.6% for Class I. In addition to the three types of classes such treatments, there was the VIP class of 7.5% and no grade of 22.1%. Details about the number and percentage of beds in general hospitals and specialty hospital according to the type of treatment class and province can be seen in Annex 5.7.

3. Production and Distribution Facilities of Pharmaceutical and Medical Device

Supply Drug is one of irreplaceable components in health care. Access to drugs, especially

essential drugs is one of human rights. Thus the provision of essential drugs is an obligation for the government and health care institutions, both public and private institusions. As special commodities, all drugs in circulation should be ensured its safety, efficacy and quality in order to provide health benefits. Therefore, one of the efforts made to ensure the quality of drugs into the hands of consumers is to provide a means of storage of drugs and medical devices that can maintain the physical safety and can maintain the quality of medicines in addition to trained personnel manager.

Pharmaceutical installation is a management unit of pharmaceutical supplies and medical devices that exist at the province and district/municipality, as means of procurement, registration, storage, distribution, control, administration, reporting and evaluation activities necessary for pharmacy services. Until the year 2010 number of pharmaceutical installations were 490 units, the details by province can be seen in Graph 5.10.

GRAPH 5.10 NUMBER OF PHARMACY INSTALLATIONS BY PROVINCE, 2010

Source: DG of Pharmaceutical and Medical Device, MoH RI

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One of the policy implementation of the Program for Drugs and Medical Supplies is drug and medical supplies control that is directed to ensure the safety, efficacy and quality of pharmaceuticals and medical devices. It aims to protect the public from harm caused by misuse of pharmaceuticals and medical devices or the use of the wrong/incorrect and not meet safety and utilization of quality made since the production process, distribution to its use in public.

Number of production and distribution facilities spread across 33 provinces illustrate the variation of facilities in the fields of pharmaceuticals and medical devices having disparity that was still relatively high number between Indonesia's western region, Central and East. Most of production and distribution facilities were located in Indonesia's western areas which were Sumatra and Java Islands. 94.25% of production facilities and 75.12% of distribution facilities spread on the island of Sumatra and Java. This fact can be used as a reference in the policy to develop the means of production and distribution of pharmaceutical and medical devices, especially in eastern part of Indonesia, causing the smooth distribution of facilities throughout Indonesia. In addition, it aims to open up access to public affordability of health facilities in the fields of pharmaceuticals and medical devices. Pharmaceutical production and medical devices facilities include Pharmaceutical Industry, Traditional Medicine Industry (Ind=IOT), Traditional Medicines Small Industry (Ind=IKOT), Medical Devices Production, Health and Household Supplies (Ind=PKRT) and Cosmetic Industry. During the last period of 5 years, from 2006 to 2010, there were an increasing number of pharmaceutical production facilities and medical devices. This can be seen in Graph 5.11. Number of production facilities in Indonesia in 2010, specified according to province can be seen in Annex 5.8.

GRAPH 5.11 NUMBER OF PRODUCTION FACILITIES OF PHARMACEUTICAL AND MEDICAL DEVICES

20062010


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While distribution facilities of pharmaceutical and medical devices include Whole Saler (Ind=Pedagang Besar Farmasi/PBF), Pharmacy/Dispensaries (Ind=Apotek), Drug Stores, Health Supplies (Ind=Penyalur Alat Kesehatan/PAK) and Sub/Branch of Health Supplies (Ind=Sub/Cabang Penyalur Alat Kesehatan/PAK). Number of pharmaceutical and medical devices distribution facilities over the last five years (2006‐2010) can be found in Graph 5.12. Number of distribution facilities in Indonesia in 2010, specified according to the province can be seen in Annex 5.9.

GRAPH 5.12 NUMBER OF DISTRIBUTION FACILITIES OF PHARMACEUTICAL AND MEDICAL DEVICES

20062010


4. Community Based Health Effort

Efforts to improve public health status were done by applying some varieties of approaches, including by involving community potential. This is in line with the concept of empowerment of community development. The move was reflected in the development of facilities of Health Effort Community Based (Ind=UKBM). UKBM consists of integrated services posts (Ind=Pos Pelayanan Terpadu/Posyandu), village health post (Ind=Pos Kesehatan Desa/Poskesdes in Desa Siaga), family medicinal plants (Ind=Tanaman Obat Keluarga/Toga), and Village Drugs Post (Ind=Post Obat Desa/POD).

One type of UKBM which has been developed and entrenched in the community is posyandu. In carrying out its functions, posyandu is expected to carry out five priorities from programs of maternal and children health, family planning, nutrition, immunization, and prevention of diarrhea. In order to assess the performance and development, posyandu is classified into four levels, namely Posyandu Pratama (basic/first level posyandu), Posyandu Madya (second/medium level posyandu), Posyandu Purnama (third level posyandu) and Posyandu Mandiri (high

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level/independent posyandu). In 2009 there were 266,827 posyandu, so the ratio of posyandu to villages was 3.55 posyandu per village. More information on posyandu ratio by province in 2009 can be seen in the Graph 5.13 below.

GRAPH 5.13

RATIO OF POSYANDU TO VILLAGE BY PROVINCE IN INDONESIA 2009

Source: DG of Community Health, MoH RI Poskesdes is a unit of health effort community based (Ind=UKBM) in the village

in order to bring the provision of basic health services for rural communities, in other words as one manifestation of the efforts to facilitate community access to health services. The main activities of poskesdes are early observation and vigilance (surveillance of risk behaviors, environmental and other health problems), handling health emergencies and disaster preparedness and health services. The services provide also includes delivery assistance and maternal and children care services. The existence of poskesdes is one indicator of a rural village called desa siaga. Data states that in 2009 there were 51,996 units of poskesdes/desa siaga. Ratio of poskesdes/desa siaga to village in the year 2009 was 0.69. For information, number of desa siaga in DKI Jakarta are number of RWsiaga and number of villages in West Sumatra are number of desa siaga plus nagari siaga. Graph 5.14 presents the ratio of number of poskesdes to village by province in 2009 (excluding DKI Jakarta and West Sumatera). While details data on the number of UKBMs by province in 2009 can be seen in Annex 5.10.

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GRAPH 5.14 RATIO OF POSKESDES TO VILLAGE BY PROVINCE IN INDONESIA, 2009

Source: DG of Community Health, MoH RI

5. Education Institutions of Health Personnel a. Number, Type and Distribution of Education Institutions

Sustainable health development requires adequate health personnel both in terms of type, quantity and quality. To produce a quality health course required a quality educational process as well. Ministry of Health is the institution of the government sector that plays a role in the provision of quality health care. Education of health personnel in the administration of secondary education and diploma that is under controlled by the Ministry of Health Health, are grouped by Health Polytechnic (owned by Ministry of Health) and Non Health Polytechnic (private property, Army/Police and Local Government properties).

Education program diploma III of health personnel education institutions (Ind=Pendidikan Tenaga Kesehatan=Diknakes) is currently growing rapidly, both in types and amount in each province. Until December 2010, number of Diknakes institutions were as much as 1,229 institutions, which consist of 243 departments/programs of study (spread in 33 health polytechnis) and 986 non‐health polytechnic institutions. Number of courses of study (study programs) in health polytechnic and non health polytechnic institutions can be seen in Graph 5.15 below.

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GRAPH 5.15 NUMBER OF STUDY PROGRAMS IN HEALTH POLYTECHNIC INSTITUTIONS AND NON HEALTH POLYTECHNIC INSTITUTIONS IN INDONESIA, 20052010

Source: National Board of Health Human Resources Development & Empowerment, MoH RI In Graph 5.15 it can be seen an increase in number of majors/study programs

in Poltekkes each year, this according to the needs of types of health personnel and equitable production of health personnel. In 2010 there were some additions of 22 study programs, from 221 in 2009 to 243 study programs. Likewise, number of non‐health polytechnic institutions increased by 67 institutions, from 919 institutions in 2009 to 986 institutions in 2010.

Graph 5.16 shows number of study programs at the health polytechnic institutions Diknakes. Most of study programs were Nursing (71), Midwifery (57) and Nutrition (30). Details information by province can be seen in Annex 5.11.

GRAPH 5.16 NUMBER OF STUDY PROGRAMS IN HEALTH POLYTECHNIC INSTITUTIONS

IN INDONESIA, 2010

Source: National Board of Health Human Resources Development & Empowerment, MoH RI

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Graph 5.17 shows number of majors/study programs at the non‐health polytechnic institutions Diknakes; then majors/study programs of nursing consists of nursing, midwifery and dental health; majors/study programs of physical therapy consist of physiotherapy, occupational therapy, speech therapy and acupuncture.

GRAPH 5.17 NUMBER OF ACADEMIC FIELDS/STUDY PROGRAMS

IN NON HEALTH POLYTECHNIC INSTITUTIONS IN INDONESIA, 2010

Source: National Board of Health Human Resources Development & Empowerment, MoH RI b. Accreditation of Institution

With so many institutions of health personnel education that exist today, the Ministry of Health seeks to continuously improve the quality of education. Accreditation is one of the construction efforts done by the government toward the existing institutions of health education, also to see the quality of each institution.

Accreditation is carried out for new institutions that have been running for classes up to 5st semester and for existing institutions that have expired accreditation. Starting in 2004 Center for Health Personnel Education (Ind=Pusat Pendidikan Tenaga Kesehatan=Pusdiknakes) has performed accreditation of majors/study programs of existing health polytechnic studies. Until the year 2010, 192 study programs of health polytechnic (79.01%) have been accredited and 51 study programs (20.99%) have not yet accredited. Of those number that have been accredited, there were 87 study programs (45.31%) with strata A, 100 study programs (52.08%) with strata B and 5 study programs (2.60%) with strata C. Graph 5.18 as follows shows the percentage of the accreditation program of study at the health polytechnic institutions.

More information about number and percentage of health polytechnic institutions that have been accredited by province can be seen in Annex 5.13.

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GRAPH 5.18

PERCENTAGE OF ACCREDITATION GRADES FOR STUDY PROGRAMS OF HEALTH POLYTECHNIC IN INDONESIA, 2010


Accreditation is also carried out on Diknakes institutions of non health

polytechnics. Number of institutions that have been accredited as many as 608 institutions (61.66%) and that have not been accredited as many as 378 institutions (38.34%). Of those amount that have been accredited, there were 86 institutions (14.14%) with Grade A, 471 institutions (77.47%) with Grade B and 52 institutions (8.55%) in Grade C. Graph 5.19 as follows shows the percentage of accreditation grades from Diknakes institutions of non health polytechnic in 2010. While detailed information by province are in Annex 5.14.

GRAPH 5.19 PERCENTAGE OF ACCREDITATION GRADES

FOR STUDY PROGRAMS OF NON HEALTH POLYTECHNIC IN INDONESIA, 2010


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Number of Diknakes institutions of non health polytechnics according to the ownership status shows mostly owned by private institutions, amounting to 86.29%, while others 10.45% owned by local governments and 3.26% owned by army/police. More detailed information on number and percentage of Diknakes institutions of non health polytechnics based on ownership can be seen in Annex 5.15.

c. Students

Number of students from both health personnel education institutions and non health polytechnic institutions in common pathway of the academic year 2010/2011 (326,801 students) than the academic year 2009/2010 (296,132 students) increased by 30,669 students or 10.36%. This is in accordance with the increasing number of institutions of health personnels.

In order to increase health services to the community, it needs more qualified health personnels. In this regard since 2004, besides holding a D‐III, health polytechnic institutions also provide D‐IV program and International Class. In 2009 the existing IV‐D programs throughout Indonesia had 2,020 students.

Program of Diploma IV has more types of educational institutions which are more specialized in knowledge background on which to type of institution nursing, midwifery and dental health. Type of nursing institutions consist of medical surgical nursing, emergency nursing, clinical nursing skills, cardiovascular nursing, anesthesia nursing, mental nursing, intensive nursing and reanimation anesthesia nursing. Type of midwifery institutions consist of community midwives and educators of midwives. This type of dental health institutions consist of dental health, community dental health, prothodansia dental health, dental oral surgery and educators of dental nurse. More detailed information on number of students by type of education institution can be seen in Annex 5.16, Annex 5.17 and Annex 5.18.

d. Graduates

Number of health polytechnic graduates and non health polytechnic graduates in 2010 were 74,778 graduates, consisting of polytechnic graduates were 14,612 graduates (19.54%) and non health polytechnic graduates of nursing as many as 60,166 graduates (80.46%). The highest number of graduates from health polytechnic/non health polytechnic were 32,938 graduates which from majors/study programs of nursing then midwifery graduates as much as 14,611 students.

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TABLE 5.2 NUMBER OF GRADUATES OF DIPLOMA III

PROGRAM OF HEALTH POLYTECHNICS AND NON HEALTH POLYTECHNICS 20062010

Health Personnels Year Total

5 Years

Average of Graduates per Year 2006 2007 2008 2009 2010

Nursery 23,811 25,200 26,446 28,835 37,055 141,347 26,928

Midwifery 8,264 13,337 9,131 18,545 17,828 67,105 13,421

Dental Health 742 857 1166 1,085 1,468 5,318 1,064

Pharmacy 2,236 2,285 5,562 4,864 8,134 23,081 4,616

Environmental Health 1,557 1,396 1,870 1,685 2,177 8,685 1,737

Nutrition 1,415 1,693 2,039 1,812 2,063 9,022 1,804

Physical Therapy 858 965 998 781 1,653 5,255 1,051

Medical Technician 3,473 3,644 5,131 4,764 7,160 24,172 4,834

Total 42,356 49,377 52,343 62,371 77,538 283,985 56,797 Source: National Board of Health Human Resources Development & Empowerment, MoH RI

Table 5.2 above shows that the average graduates over the last 5 years of Diknakes graduates of Diploma III (Poltekkes and Non Poltekkes) were 56,797 graduates, with most graduates were nursing staff (an average of 26,928 graduates), which spread almost in all provinces. Three provinces that produce graduates most of health workers (polytechnic and non‐polytechnic institutions) in 2010 were Province of Central Java (12,447 graduates), North Sumatra (9,631 graduates) and East Java (8,416 graduates).

Recapitulation of the number of graduates from Diknakes polytechnic/non health polytechnic by type of health personnel can be seen in Annex 5.1. The details by province can be seen in Annex 5.20 and Annex 5.21. B. HEALTH PERSONNELS

Health human resources in local government consist of health human resources in charge of health units (service and non‐services facilities) in the province and district/municipality, with the employment status of civil servants, civil servant candidates (Ind=CPNS), non permanent employee (Ind=Pegawai Tidak Tetap=PTT), Army/Police and private sector. Those health human resources are working at the provincial health office and the technical implementation unit (UPT), district/municipality and technical implementation unit (Ind=UPT), hospitals/ polyclinics and other health facilities owned by the central government, local government, private and Army/Police.

Data of Health Human Resources (Health HR) collected from 33 provinces could not fully describe the health human resources completely, due to: 1. District/municipality did not have complete data of Health Human Resources, particularly hospital data both for other Ministry, Army/Police and private.

2. There was currently no reliable system that regulates data collecting management of human resources.

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Health human resources data had already described the health personnels at district/municipality and province, but only in government health facilities (health offices and their UPT and Ministry of Health and its UPT). 1. Number and Ratio of Health Personnels

One of the elements that play a role in accelerating health development is the duty of health personnel in health care facilities in community. According to the data collection of National Board of Health Human Resources Development and Empowerment (Ind=Badan PPSDMK), personnels were recorded as many as 501,052 people consist of 391,745 health personnels and 109,307 non‐health personnels. Health personnels consist of 42,467 medical staffs, 266,348 nursing staffs (169,797 nurses and dental nurses, 96,551 midwives), 18,022 pharmaceutical staffs, 34,869 public health staffs, 12,823 nutrition staffs, 2,587 physical therapists and 17,216 medical technicians.

Number of physicians were as many as 25,333 personnels, with a ratio of 10.66 physicians per 100,000 population. Province with the highest ratio was DKI Jakarta amounting to 34.37 physicians per 100,000 population, whereas the lowest ratio was Banten at 5.05 physicians per 100,000 population. Ratio of physicians to total population in each province in 2010 can be seen at the Graph 5.20 below.

GRAPH 5.20 RATIO OF PHYSICIANS TO 100,000 POPULATION IN INDONESIA, 2010

Source: National Board of Health Human Resources Development & Empowerment, MoH RI Number of dentists in 2010 there were 8,731 dentists with a ratio of 3.67

dentists per 100,000 population. Province of DKI Jakarta had highest ratio of 12.35 dentists per 100,000 population, while the lowest was South Sumatra with ratio of 1.25 dentists per 100,000 population. Number of midwives by the year 2010 there were 96,551 midwives, so that its ratio to the population was 40.63 midwives per

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100,000 population. Province of Aceh with the highest ratio 144.98 midwives per 100,000 population while the lowest was DKI Jakarta as much as 19.74 midwives per 100,000 population.

Number of nurses by the year 2010 were 160,074 personnels, so nurses ratio to the population was 67.36 nurses per 100,000 population. Province with the highest ratio was DKI Jakarta amounting to 259.77 nurses per 100,000 population while the lowest in Bantam as much as 23.16 nurses per 100,000 population. Number of health and non health personnels in 2010 by province can be seen in Annex 5.22. a. Health Personnel in Health Center

Health Center which is spearheading the public health service, its performance is greatly influenced by the availability of human resources existing, especially the availability of health personnel. In 2010, there were 255,563 people working in health centers with details 225,040 health personnels and 30,523 non health personnel. Of the total number of health personnels, there were 14,934 physicians who served in health center, with a ratio of 1.66 physicians per health center. The highest ratio of physicians to health center was in Riau Islands (3.37), followed by Bali (2.99). Some provinces have specialist doctors on duty in health center. Ratio of physicians in community health centers to the number of health centers in 2010 can be seen in the Graph 5.21 below.

GRAPH 5.21 RATIO OF PHYSICIANS IN HEALTH CENTER TO NUMBER OF HEALTH CENTERS

IN INDONESIA, 2010

Source: National Board of Health Human Resources Development & Empowerment, MoH RI Number of dentists in the year 2010 were 6,140 dentists. When those number

were compared with the total number of health centers, it means that not all health centers have dentist.

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In 2010 there were 120 specialist doctors on duty in health center, most of these specialists were in DKI Jakarta with 33 specialist doctors (27.5%). Number of nurses in all health centers as many as 78,215 nurses, so that on average each unit had 8‐9 nurses. Amount of each type of health personnel in health centers can be seen in Graph 5.22 below. Details of the number of health personnel in health centers can be seen in Annex 5.23, while the ratio of physicians, dentists, nurses and midwives to the number of health centers can be seen in Annex 5.24.

GRAPH 5.22 NUMBER OF HEALTH PERSONNELS IN HEALTH CENTERS

IN INDONESIA, 2010


b. Health Personnels in Hospitals Data of health personnels in hospitals recorded by National Board of Health

Human Resources Development and Empowerment in 2010 came from 473 hospitals of 506 existing government hospitals. In 2010, there were 142,521 people working in government hospitals with details of 111,998 health personnels and 30,523 non health personnels. Of the total number of health personnels, specialist doctors who served in government hospitals as many as 7,593 specialists, with an average of 16 specialists per hospital; physicians who served in government hospitals as many as 6,685 physicians, with an average of 14 physicians per hospital and dentists who served in government hospitals as many as 1,741 dentists, with an average of 4 dentists per hospital. Midwives who served in government hospitals as many as 10,510 midwives, with an average of 22 midwives per hospital and nurses who served in government hospitals as many as 66,701 nurses, with an average of 128 nurses per hospital. Details of number of health personnels in government hospitals can be seen in Annex 5.25.

2. Health Personnels with Non Permanent Employee Status (Ind: PTT)

Health personnel with PTT status (Ind=PTT=Pegawai Tidak Tetap) consist of specialist doctors, physicians, dentists and midwives. Up to year 2010 there were 31,840 health personnels with PTT status still on active duty in local government

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with the criteria Reguler, Remote, and Very Remote Area with composition of 50 specialist doctors, 2,614 physicians, 800 dentists, and 28,376 midwives.

Specialist doctors with PTT status mostly spred in areas with Remote criteria, there were 26 specialists, while for the region with Reguler criteria there were 14 specialists, then in Very Remote Area there were 10 specialists. Physicians and dentists with PTT status mostly spred in very remote areas, that were 1,629 physicians and 564 dentists, while the PTT midwives mostly in Reguler area criteria with 16,789 midwives.

Province with the largest presence of PTT specialist was North Sumatra with 8 specialists. The largest number of PTT physicians was in East Nusa Tenggara with 348 physicians, followed by 202 physicians in Aceh and 158 physicians in North Sumatra, while the largest number of PTT dentists on duty was in East Nusa Tenggara with 98 dentists, followed by 58 dentists in Aceh and 52 dentists in East Java. The largest number of PTT midwives on duty in North Sumatra with 4,640 midwives, followed by 4,547 midwives in Central Java and 2,986 midwives in East Java.

Graph 5.23 shows the condition of PTT personnels in Indonesia in 2010. More data on distribution of PTT health personnels in all provinces can be seen in Annex 5.25, 5.26 and 5.27.

GRAPH 5.23 NON PERMANENT EMPLOYEES OF PHYSICIANS, DENTISTS AND MIDWIVES

IN INDONESIA, 2010

Source: Bureau of Personnel, MoH RI

In the year 2010, health personnels have been appointed to local governments

with the criteria of PTT Regular, Remote and Very Remote area as many as 17,037 personnels, consisting of 35 PTT specialists, 3,461 PTT physicians, 975 PTT dentists and 12,601 PTT midwives. The largest number of recruitment of PTT health personnels was in East Nusa Tenggara consist of 411 PTT physicians and 132 PTT dentists, with recruitment for Very Remote area there were 388 physicians and 131 dentists. Next province with the second number of recruitment was Maluku with 340

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physicians and 112 dentists. Graph 5.24 shows the recruitment of PTT physicians and PTT dentists in 2010.

GRAPH 5.24 RECRUITMENT OF NON PERMANENT EMPLOYEE (PTT) PHYSICIANS AND DENTISTS

IN INDONESIA, 2010


The largest recruitment of PTT midwives was in North Sumatra, there were

1,608 midwives, among them 965 midwives were placed in remote area and 643 midwives were placed in reguler area. Next province with second largest of midwives was Central Java with 1,558 midwives, among them 1,548 midwives were placed in reguler area and 10 midwives were placed in remote area. Graph 5.25 shows the recruitment of PTT midwives in 2010.

GRAPH 5.25 RECRUITMENT OF NON PERMANENT EMPLOYEE (PTT) MIDWIVES IN INDONESIA, 2010


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More data regarding to the recruitment of non permanent employee (PTT) health personnels throughout all provinces can be seen in Annex 5.28, 5.29 and 5.30. 3. Facilities of Health Training Units

Facilities of health training unit are very important components to support the training activities. Availability of facilities also determines the performance of health training unit performance. The capacity of dormitories, classrooms, halls and space for discussion of health training units of UPT Center, was still varies (not standard yet), especially for health training units of BBPK (Ind=BBPK=Balai Besar Pelatihan Kesehatan).

The largets capacity of dormitories in BBPK Ciloto were 220 beds, the largest capacity of the class BBPK Jakarta were 260 seats, the largest capacity in BBPK Ciloto hall were 400 seats, the largest capacity in discussion rooms in BBPK Ciloto were 50 seats. There is no clear distinction of capacity between BBPK and Bapelkes owned by Central Technical Implementation Unit (Center UPT), and in fact Bapelkes Lemah Abang and Bapelkes Salaman had larger capacity than BBPK Makassar.

Number of health training units of UPT‐local government were 24 units. Some variations had seen in the UPT health training units, as many as 21 units (87.5%) have larger or same capacity dormitory with 100 beds and 3 units (12.5%) had smaller capacity less than 100 beds.

Health training units of UPT‐local government with the smallest capacity was Bapelkes Palu. A total of 21 units (87.5%) have been accredited by Pusdiklat of Health Human Resources, and 3 units (12.5%) have not been accredited (Bapelkes Jantho Aceh Province, BapelkesSouth Kalimantan, and BapelkesMaluku).

Facilities of health training units in 2009 were mainly used for Ministry of Health activities 69.76% (2,298 events), private sectors 20.86% (687 events), and the rest is used by non‐governmental institutions (outside Ministry of Health) 9.38% (309 events). From the utilization of these facilities, 68.11% was used for non‐training activities and 31.89% used for training activities. While Seat Occupancy Rate (SOR) for training activities was on average 34.40%, 5.86% was non‐training activities, and Bed Occupancy Rate (BOR) 28.60%.

Utilization of health training unit/training and education institutions in 2009 were 1,052 training activities. Involvement level of training unit on event was 39.8%, used as a place only (level involved I), 26.5% served as a place, coaches, organizers/ OC and SC (level IV involved) and by 19.5% as well as a designer of training (level V involved). Distribution of involvement level in education and training institutions year 2009 can be seen in Annex 5.35.

The whole number of lecturers (Ind=Widyaiswara) in health education and training institutions were 172 lecturers. Distribution of health lecturers were varies greatly according to the institution from 1 up to 14 lecturers. For health education and training institutions/UPT‐central especially BBPK, number of lecturers were

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ranging from 6 to 14 lecturers. While in health education and training institutions of UPT‐local government, number of lecturers were range from 1 to 11 lecturers with an average of 5 lecturers.

The largest number of lecturers by age group was at the age group of 51‐60 years (86 lecturers), followed by 41‐50 years age group (42 lecturers). Based on education, the highest number of lecturers was at post graduate education (112 lecturers), while S3 and D‐III were each 2 lecturers. Distribution of lecturers by education and training institutions and age groups in 2009 can be seen in Annex 5.36.

Number of health human resources trained in health education and training institutions in 2009 were as many as 46,136 personnels. The number of participants who were trained during the year 2009 based on five categories of training, respectively starting from technical training of health 50.64% (23,361 personnels), management training 17.5% (7,867 personnels), 13.29% service training (6,133 personnels), functional training 6.98% (3,222 personnels), and the training hierarchy 1.84% (851 personnels). Frequency distribution of training and number of participants by type of training and the province can be seen in Annex 5.37.

C. HEALTH BUDGETTING

One of the necessary resources components in carrying out health development is health financing. Health financing from government and funding sourced from the community. Here is described the health budget allocated to the Ministry of Health and budget provided for the financing of national community health insurance (Ind=Jamkesmas).

1. Budget of Ministry of Health

Ministry of Health in 2010 had allocated a budget of Rp 25,274,803,995,000 with a realization of Rp 22,496,458,336,327 (89.01%). Distribution of MoH budget according to the work of echelon‐I unit shows that the largest allocation was owned by the Directorate General of Medical Services in the amount of Rp 13,205,337,162,000 (52.2%), while the lowest allocation was owned by General Inspectorate for Rp 76,977,600,000 (0, 3%).

The highest realization of budget was reached by Directorate General of Pharmaceutical and Medical Devices with absorption percentage of 95.75%. The lowest realization of budget was reached by Directorate General of Community Health Care with absorption percentage of 82.76%. Within the last 5 years there was an increasing allocation and realization of the budget from Ministry of Health. In the year 2006 the Ministry of Health had a budget allocation of Rp 15.32 trillion with realization Rp 12.26 trillion (80.05%), this amount increased in 2010 to a budget allocation of Rp 25.27 trillion with realization Rp 22.50 trillion (89, 01%). This increasing is explained in the Graph 5.22 below. More details information on

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allocation and realization of the budget of the Ministry of Health in 2010 can be seen in Annex 5.38.

GRAPH 5.26 ALLOCATION AND REALIZATION OF MINISTRY OF HEALTH BUDGETTING

2006 – 2010

Source : Bureau of Financial and Stateowned Property, MoH RI

2. Financing Public Health Insurance

According to data from Center for Managed Care, Ministry of Health, until the month of June 2011, people who had health insurance were 148,709,645 (63% of total population). Percentage of population who had health coverage by guarantee program/insurance is presented in Graph 5.27 below. Data on the percentage of people who had health insurance according to the province until the year 2010 can be seen in Annex 5.39.

GRAPH 5.27 PERCENTAGE OF POPULATION WHICH WERE COVERED BY

COMMUNITY HEALTH INSURANCE/HEALTH INSURANCE IN INDONESIA UNTIL JUNE 2011

Source : Center for Managed Care, MoH RI

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Participants of National Community Health Insurance (Ind=Jamkesmas) get

comprehensive health services and gradual from primary health care in health centers and referral networks to referral health care in hospitals. In 2010 there were 8,967 units of health centers throughout Indonesia that serve participants of Jamkesmas. Referral health services were available 1,020 hospitals/clinics consists of 564 government‐owned hospitals, 346 private hospitals, 41 hospitals and 69 hospitals owned by Army/Police. All participants of Jamkesmas were served by 9,987 health providers. Graph 5.27 below shows the percentage of referral health care providers in 2010.

GRAPH 5.28 PROVIDER OF REFERRAL HEALTH CARE

FOR NATIONAL COMMUNITY HEALTH INSURANCE 2010

Source : Center for Managed Care, MoH RI

In an effort to improve the affordability of the poor and near‐poor people to

health services, government through Ministry of Health and several local governments bear the cost of health services in health centers and 3rd class‐hospitals for participants of National Community Health Insurance (Ind=Jamkesmas). Number of target of the poor (very poor, poor and near‐poor) were carried on by Jamkesmas program in 2009 as many as 76.4 million people.

***

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ASEAN (Association of Southeast Asian Nations) is a geopolitics and economics organization in Southeast Asia, which aims to increase economic growth, social progress and cultural development of member states, and promote peace on the regional level. Until today, 10 countries are recorded as members of ASEAN. Those ten countries are Brunei Darussalam, Philippines, Indonesia, Cambodia, Lao People's Democratic Republic, Malaysia, Myanmar, Singapore, Thailand and Vietnam.

According to WHO classification, Indonesia and other 10 countries, namely Bangladesh, Bhutan, DPR Korea (Democratic People's Republic of Korea), India, Maldives, Myanmar, Nepal , Sri Lanka, Thailand and Timor Leste are included in SEARO (South East Asia Region Organization).

Comparisons between Indonesia and other countries, both in ASEAN and SEARO, are important to identify position of Indonesia especially in the neighboring countries. This chapter studies comparison between Indonesia with ASEAN and SEARO countries, in aspects of demographic, health degree and health efforts.

A. DEMOGRAPHIC

Demographic information is important for the development that it could be properly distributed based on needs of population as the subject of development. A large number of people could be either a burden or an investment. Some indicators used to identify the condition of population are number of population, population density, population growth rate, dependency ratio and birth rate.

1. Population and Density World Populations Data Sheet 2010 identifies that in mid 2010 Indonesia was

an ASEAN country with the largest number of population 235.5 million (2010 Population Census figures by May 2010 Indonesia has 237.6 million population). As the largest country, Indonesia has always been occupying the first position as the country with the most population among ASEAN member states, Brunei Darussalam has the least population with 0.4 million.

In ASEAN region, Indonesia was the country with the largest number of population, while in SEARO region Indonesia was the second country after India (with 1,188.8 million). Bangladesh was the country with the third biggest population. Apart from Bangladesh which has population of 164.4 million, the other 8 countries had population less than 100 million, and 2 countries even had less than 1 million (Bhutan had 0.7 million and Maldives had 0.3 million). Number of population in ASEAN and SEARO is presented in Graph 6.1.

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GRAPH 6.1 POPULATION IN ASEAN & SEARO

2010

Source: Population Reference Bureau, World Population Data Sheet 2010 According to population density, Singapore was the most populous country in

ASEAN with 7,526 people per square km. It is far above other member states. Meanwhile, the country with the lowest density was Lao PDR with 27 people per square km.

In SEARO, Bangladesh was the most populous country with 1,142 people per square km. In spite of having the smallest population and small area, Maldives was a country with the second highest population density in SEARO region, which was 1,070 people per square km. On the contrary, Bhutan had the lowest population density, which was 15 people per square km.

Population density of Indonesia was 124 people per square km. It was the 5th highest number in ASEAN and the 8th in SEARO. Among total 11 member states of SEARO, Indonesia was the 4th lowest populous country.

Population density of ASEAN and SEARO member states in 2010 can be seen on Graph 6.2 below.

GRAPH 6.2 POPULATION DENSITY IN ASEAN & SEARO (per square km)

2010

Source: World Population Data Sheet 2010

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2. Population Growth Rate

Indicator of population growth is very useful in predicting number of population of a country in the future. The estimated population number could refer to the basic need of people on any field, including on health. The indicator is usually called as population growth rate. Population growth rate is influenced by 3 factors, namely birth, death and migration. Complete growth rate in ASEAN and SEARO are presented in Graph 6.3.

GRAPH 6.3 POPULATION GROWTH RATE PER YEAR

IN ASEAN & SEARO, 20002009

Source: The State of The Worlds Children 2011 During 2000‐2009, among ASEAN member states, Brunei Darussalam was the

country with the highest population growth rate with 2.3%, while Myanmar was the country with the lowest population growth rate, 0.8%.

In the same period, SEARO member states had population growth rate ranging from 0.5% to 3.7%. The highest was Timor Leste and the lowest was Korea DPR.

Population growth rate of Indonesia was 1.4%. In ASEAN, it was the 3rd lowest position (together with Viet Nam), while in SEARO it was the 5th lowest position. Demographic data of ASEAN and SEARO member states in 2010 are presented in Annex 6.1.

3. Population by Age Group One indicator that can roughly indicate the economic situation of a country,

whether developed or developing countries, is a dependency ratio. The higher percentage of dependency ratio indicates the higher burden to be borne by the productive people to finance life of non productive people (0‐14 year and ≥ 65 year).

Percentage of non productive people (0‐14 year and ≥ 65 year) in 2010 shows that among ASEAN member states, Lao PDR was the country with the highest number of non productive people, 43%. On the other hand, Singapore was the country with the fewest number of non productive people, 27%.

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In SEARO region, Timor Leste had the most non productive people with 52%, while Thailand had the fewest non productive people, 29%. This information is presented on Graph 6.4.

GRAPH 6.4 COMPOSITION OF PRODUCTIVE AND NON PRODUCTIVE AGE

IN ASEAN & SEARO 2010

Source: Population Reference Bureau, World Population Data Sheet 2010

The population distribution shows that Lao PDR had the most dependency ratio (75%) among ASEAN member states, and Singapore had the lowest dependency ratio 37%.

In SEARO, Timor Leste was the country with the highest dependency ratio 92%, while Thailand had the lowest with 41%.

Indonesia had dependency ratio 52%. It means every 100 productive people bear the burden to finance 52 non productive people.

Population composition by age group and Dependency Ratio in ASEAN and SEARO are in Annex 6.1.

4. Human Development Index

Human Development Index (HDI) is united three dimensions of human development. Those are healthy and long life (measured by Life Expectancy at Birth), educated (measured by literate ratio and average length of school) and proper life standard (measured by real expenditure/income per capita).

The international standard classifies Human Development Index (HDI) as: very high (> 0.900); high (0.800–0.899); middle (0.500‐0.799); and low (<0.500).

In 2010, there was no ASEAN member state categorized as very high. Only two countries, Brunei Darussalam and Singapore, were classified as high. Five countries (included Indonesia) were classified as middle, and 3 countries were low. Comparing to the ranks of ASEAN member states in the same year, Singapore occupied the

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highest position. It was on the 27th of total 169 countries. Myanmar was on the lowest position among ASEAN countries, which was on the 132nd. In the same period, Indonesia was on the 108th position with HDI 0.600. It increased from 0.593 in the previous year (2009).

GRAPH 6.5 HUMAN DEVELOPMENT INDEX IN ASEAN & SEARO, 2010

Source: UNDP, Human Development Report 2010

During 2010, of total 11 ASEARO member states (Bhutan and Korea DPR are not available) no country was classified as high and very high. There were six countries classified as middle and three countries were low (Bangladesh, Myanmar and Nepal). Further information about HDI in ASEAN and SEARO 2009‐2010 is presented in Annex 6.2. 5. Total Fertility Rate

Total Fertility Rate (TFR) is a description about average number of children born by a woman aged 15‐49 years. Comparative figures of TFR between countries can indicate the success of countries in implementing social and economic development. The higher TFR is the average reflection of the young marriage age, low education levels, especially women, low socioeconomic level or high poverty rate. In addition, it also indicates the level of success of family planning program in the country.

Total Fertility Rate can be used for program development planning to increase the average marriage age and health service programs related to maternal and child care.

TFR is classified into 3 levels i.e. low, moderate and high (ADB, Key Indicators 2002). A country with TFR ≤ 2.1 is classified as having low fertility, with TFR 2.2‐3.9 is classified as having moderate fertility and with TFR ≥ 4 is classified as having high fertility.

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By those key indicators, in 2010, there were 4 countries included in the category of low TFR, namely Singapore (1.2), Brunei Darussalam (1.7), Thailand (1.8), and Viet Nam (2.1). Indonesia was categorized as medium with TFR 2.4, which means that every woman averagely had 2‐3 children during the fertile period.

Among 11 SEARO member states, only Thailand and Korea DPR were countries with low TFR. Eight countries (Indonesia, Myanmar, Bangladesh, Sri Lanka, Maldives, India, Nepal and Bhutan) were moderate, while Timor Leste was the only country with high category was equal to 5.7. ASEAN and SEARO can be seen in Graph 6.6 below and Annex 6.2.

GRAPH 6.6 TOTAL FERTILITY RATE IN ASEAN & SEARO

2010


6. Crude Birth Rate Crude Birth Rate (CBR) shows how many births in a year per 1,000 population

in the mid of the same year.

In 2010, Crude Birth Rate in ASEAN member states range from 10 to 28 per 1,000 population. The highest CBR occurred in Lao PDR with 28 per 1,000 population, and on the second position was Philippines with 26 per 1,000 population. Singapore had the lowest CBR with 10 births per 1,000 population. Meanwhile, Indonesia had CBR 20 births for every 1,000 population.

In SEARO, the CBR ranged from 15 to 41 per 1,000 population. Two countries with the highest CBR were Timor Leste (41) and Nepal (28), while two countries with the lowest were Thailand and Korea DPR (each 15).

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By CBR 20 births per 1,000 population, in ASEAN Indonesia was on the 5th highest position, while in SEARO Indonesia was on the 7th highest position.

Graph 6.7 shows the comparison of CBR in ASEAN and SEARO. Further information on CBR in ASEAN and SEARO in 2010 can be found in Annex 6.2.

GRAPH 6.7 CRUDE BIRTH RATE IN ASEAN & SEARO

2010

Source: Population Reference Bureau, World Population Data Sheet 2010 7. Socio Economic National income is one indicator to measure a country’s economic growth. Gross National Income per capita consists of a number of values of good and service produced within a country, including the income received from other countries.

The highest Gross National Income per capita in 2010 among ASEAN member states was Brunei Darussalam (US$ 50,200 per capita), followed on the second position by Singapore (US$ 47,940 per capita). Myanmar and Cambodia were countries with the lowest Gross National Income per capita, each US$ 1,290 and US$ 1,820.

All 10 countries in SEARO (Korea DPR was not available) had Gross National Income per capita less than $ 6,000. The country with the highest GNI per capita was Thailand with US$ 5,990, and the lowest was Nepal with US$ 1,120. Comparing to 17 countries in ASEAN and SEARO, Indonesia ranked 6th tertinggi pendapatan nasional bruto per kapita.

Meanwhile, Indonesia had GNI per capita US$ 3,830. Gross National Income in ASEAN and SEARO in 2010 can be seen in Graph 6.8.

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GRAPH 6.8 GROSS NATIONAL INCOME (GNI) IN ASEAN & SEARO

2010


B. HEALTH STATUS

MORTALITY

1. Infant Mortality Rate Infant mortality rate is classified into 4: low (≤ 20 per 1000 live births); middle (20‐49 per 1000 live births); high (50‐99); and very high (≥ 100 per 1000 live births).

Graph 6.9 shows that in 2009, 5 ASEAN member states (Singapore, Brunei Darussalam, Malaysia, Thailand and Viet Nam) were included in low category, 3 member states (Philippines, Indonesia and Lao PDR) were included in middle category, and other 2 member states (Cambodia and Myanmar) were included in high category. Of total 10 ASEAN member states, there was no member state categorized as very high (IMR ≥100 per 1000 live births).

Subject to the classification, 3 SEARO member states, Maldives, Thailand and Sri Lanka, were categorized as low with infant mortality rate (IMR) 11, 12 and 13 per 1000 live births, 5 member states were categorized as middle, and 3 member states were categorized as high (Myanmar, Bhutan and India).

Infant Mortality Rate (IMR) in ASEAN and SEARO in 2009 ranges from 2 and 68 per 1000 live births. IMR in Indonesia was 30 per 1000 live births, and it was on the 10 position of total 18 countries. IMR in ASEAN and SEARO in 2009 can be seen in Annex 6.2.

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GRAPH 6.9 INFANT MORTAALITY RATE IN ASEAN & SEARO

2009

Source: WHO, World Health Statistics 2011 2. Underfive Mortality Rate

Reduction of infant mortality rate is one thing considered important in Millennium Development Goals. In high case situation, the most number of deaths usually occurs on underfive age when children are susceptible to diseases. Statistics indicates that more than 70% underfive mortality is caused by diarrhea, pneumonia, measles, malaria and malnutrition.

GRAPH 6.10 UNDERFIVE MORTALITY RATE (PER 1000 LIVE BIRTHS)


Source: WHO, World Health Statistics 2011

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Data in “World Health Statistics 2011” shows a wide gap of underfive mortality rate among ASEAN member states in 2009. The country with lowest rate was Singapore with 3 per 1000 live births, and the highest was Cambodia with 88 per 1000 live births. ASEAN member states mostly have Underfive Mortality Rate less than 50 per 1000 live births, and only Cambodia, Myanmar and Lao PDR had more than 50 per 1000 live births.

Due to the same data source, underfive mortality rate in SEARO ranged from 13 to 79 per 1000 live births. Buthan was the country with the highest underfive mortality rate, while Thailand was the country with the lowest. If ASEAN only had 3 countries (from total 10 countries) with underfive mortality rate more than 50 per 1000 live births, SEARO had 5 countries with underfive mortality rate more than 50.

Graph 6.10 shows that ASEAN member states relatively had underfive mortality rate lower (except Cambodia) than SEARO member states. It has been described previously that the majority of underfive mortality is caused by diarrhea, pneumonia and malnutrition. It means ASEAN member states might have sanitation and economy better than SEARO member states.

In 2009, Indonesia had 39 underfive deaths per 1000 live births (according to SDKI 2007, Underfive Mortality Rate in Indonesia was 44). Among ASEAN member states, Indonesia was ranked the 4th highest Underfive Mortality Rate, while among SEARO member states, Indonesia was ranked the 5th lowest. Underfive Mortality Rate in ASEAN and SEARO in 2009 can be seen in Annex 6.2.

3. Maternal Mortality Rate Based on WHO classification, Maternal Mortality Rate (MMR) is divided as

follows: <15 per 100,000 lbs; 15‐199 per 100,000 lbs; 200‐499 per 100,000 lbs; 500‐999 per 100,000 lbs and ≥1,000 per 100,000 lbs.

GRAPH 6.11 MATERNAL MORTALITY RATE IN ASEAN & SEARO

2008


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In 2008, among ASEAN member states, only Singapore had Maternal Mortality Rate <15, which was 9 per 100,000 live births, and only Lao PDR had MMR >500, which was 580 per 100,000 live births.

In the same year, there was no SEARO member states had Maternal Mortality Rate <15 live births and >500 live births. Three countries had MMR 15‐199 per 100,000 live births, and 8 countries had MMR 200‐499 per 100,000 live births.

Among ASEAN and SEARO member states, Indonesia was ranked 11th (of total 18 member states) with MMR 240 per 100,000 live births. Maternal Mortality Rate in ASEAN and SEARO in 2008 can be seen in Annex 6.2.

Meanwhile, according to SDKI 2007, national MMR of Indonesia was 228 per 100,000 live births. 4. Crude Death Rate

Crude Death Rate (CDR) is a number that indicates how much deaths occurring in a year for every 1,000 population. In general, older people have a higher risk of death comparing to younger people. Since there is no other indicator of death, it can be used to give an idea about the state of population welfare in a current year.

GRAPH 6.12 CRUDE DEATH RATE (PER 1000 POPULATION)



Among ASEAN member states, in 2010 Myanmar was the country with the highest CDR, which was 11 per 1000 population. Situation of CDR in SEARO was not much different with in ASEAN. Myanmar was the country with the highest CDR, while Maldives was the country with the lowest CDR, 3 per 1000 population.

In 2010, there were 6 deaths per 1000 population in Indonesia. In ASEAN, Indonesia was the country with the 5th highest CDR, on the contrary, in SEARO

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Indonesia was on the 2nd lowest position. Crude Death Rate 2010 in ASEAN and SEARO can be found in Annex 6.2.

5. Life Expectancy at Birth (e0)

Life expectancy at birth (e0) is an indicator to evaluate the performance of government in improving the population welfare generally and health care particularly.

Graph 6.13 shows that in 2010, among 10 ASEAN member states, Singapore was the country with the highest life expectancy at birth, which was 81 years. Myanmar was the country with the lowest life expectancy at birth, 58 years.

GRAPH 6.13 LIFE EXPECTANCY AT BIRTH (e0) IN ASEAN & SEARO

2010


In SEARO, Sri Lanka had the highest life expectancy at birth of 74 years. As in ASEAN, in SEARO Myanmar was the country with the lowest life expectancy at birth, 58 years.

With life expectancy at birth 71 years, in ASEAN, Indonesia was on the 6th highest position, and in SEARO Indonesia was on the 3rd highest position. Life expectancy at birth in ASEAN and SEARO in 2010 is in Annex 6.2. MORBIDITY

1. Prevalence of Tuberculosis (TB) “World Health Statistics 2011” shows large difference in the prevalence of

tuberculosis per 100,000 population and mortality associated with tuberculosis per 100,000 population in ASEAN and SEARO. The prevalence of tuberculosis 2009 among ASEAN member states ranged from 43 to 693 per 100,000 population. Cambodia was the country with the highest prevalence of tuberculosis in ASEAN, 693

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per 100,000 population, while Singapore had the lowest prevalence of tuberculosis, which was 43 cases per 100,000 population.

The highest death related to tuberculosis in 2009 was in Cambodia with 71 per 100,000 population. Meanwhile, the lowest death related to tuberculosis occurred in Brunei Darussalam and Singapore with each 1.7 and 2.3 deaths per 100,000 population.

GRAPH 6.14 PREVALENCE OF AND DEATH RELATED TO TUBERCULOSIS PER 100,000 POPULATION



The same situation happened also in SEARO. Prevalence of tuberculosis 2009 among SEARO member states had a quite large gap, ranging from 47 to 744 per 100,000 population. The country with the highest TB prevalence was Timor Leste (744 per 100,000 population) and the country with the lowest was Maldives (47 per 100,000 population).

Deaths by tuberculosis in SEARO ranged from 2.6 to 66 per 100,000 population. The highest number of TB deaths also occurred in Timor Leste with 66 deaths per 100,000 population, and the lowest number occurred in Maladives with 2.6 per 100,000 population.

Among total 18 countries of ASEAN and SEARO, Indonesia was on the 8th highest position with TB prevalence 285 per 100,000 population. It can be seen in Annex 6.4. 2. Avian Influenza

The emergence of new strains of influenza virus in humans (H5N1 strain) was first detected in Hong Kong. As a result, 18 people got inpatient care, and 6 of them died. It was the first fact that avian influenza viruses can be transmitted directly from birds to humans. Before 1997, scientists believe the transmission of influenza virus from birds to humans did not occur directly.

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Avian Influenza firstly entered ASEAN region in 2003, and Viet Nam was the first country infected with 3 people diagnosed being infected and died. By the end of 2010, 6 countries had been infected by Avian Influenza, those are Viet Nam, Thailand, Indonesia, Lao PDR, Myanmar and Cambodia.

In SEARO, the infected countries were the same as infected countries in ASEAN. Those are Indonesia, Myanmar and Thailand.

GRAPH 6.15 AVIAN INFLUENZA CASE AND FATALITY


Source: http://www.who.int/csr/disease/avian_influenza/country/cases_table_2011_05_13/en/index.html, data 13 May 2011, accessed on 20 June 2011

Graph 6.15 shows the number of cases and deaths caused by Avian Influenza in ASEAN since 2003 to 2010. The first case infected 3 people in Viet Nam, and all of them ended in death. In 2004, it increased to 46 cases with 32 deaths. In addition to Viet Nam, H5n! had also infected Thailand. By the end of 2005, number of cases and infected countries continued to grow, and about 90 people positively infected. However, the number of death could be reduced. If previously almost 100% cases ended in death, in 2005, of 90 infected cases 38 ended in death (42.22%). Since that time, number of Avian Influenza cases continued to decline. On the contrary, case fatality rate (CFR) was still high. In 2009, there were 3 countries in ASEAN infected with 27 cases and 24 death (CFR = 88.89%). In 2010, CFR decreased to 58.82% (17 cases with 10 deaths).

Tabel 6.1 shows that over the last 3 years, Avian Influenza virus spread to 3 countries in ASEAN, Cambodia, Viet Nam and Indonesia. The 3 countries that were infected previously (Laos, Myanmar dan Thailand) have not shown the case detection yet.

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TABEL 6.1 AVIAN INFLUENZA CASE AND FATALITY

BY COUNTRY, 20032010

C D C D C D C D C D C D C D C D C DCambodia 0 0 0 0 4 4 2 2 1 1 1 0 1 0 1 1 10 8Lao PDR 0 0 0 0 0 0 0 0 2 2 0 0 0 0 0 0 2 2Viet Nam 3 3 29 20 61 19 0 0 8 5 6 5 5 5 7 2 119 54Indonesia 0 0 0 0 20 13 55 45 42 37 24 20 21 19 9 7 171 122Myanmar 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0Thailand 0 0 17 12 5 2 3 3 0 0 0 0 0 0 0 0 25 17Bangladesh 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0

ASEAN 3 3 46 32 90 38 60 50 54 45 31 25 27 24 17 10 328 203SEARO 0 0 17 12 25 15 58 48 43 37 25 20 21 19 9 7 198 139

2010 Total2003COUNTRIES

2004 2005 2006 2007 2008 2009

Source: http://www.who.int/csr/disease/avian_influenza/country/cases_table_2011_05_13/en/index.html, updated 13 May 2011, accessed 20 June 2011 Remarks: C = Case D = Death

Avian Influenza began to attack humans in SEARO in 2004, which was Thailand. Since 2004, SEARO member states infected by Avian Influenza are also the countries of ASEAN. These countries are Thailand and Indonesia. 3. POLIO

Some diseases can potentially cause outbreaks. Some diseases can be prevented by immunization, or usually called as PD3I (vaccine preventable diseases). These are Tuberculosis, Hepatitis B, Diphtheria, Pertussis, Tetanus, Tetanus Neonatorum, Measles and Polio.

TABEL 6.2 POLIO CASE PER COUNTRY

20042008

COUNTRIES 2004 2005 2006 2007 2008Cambodia 0 1 1 0 0Lao PDR 1 0 0 0 0Indonesia 0 349 2 0 0Myanmar 0 0 1 15 0Bangladesh 0 0 18 0 0India 134 66 676 873 559Nepal 0 4 5 5 6ASEAN 1 350 4 15 0

SEARO 134 419 702 893 565 Source: WHO vaccine‐preventable disease monitoring system, 2009 global summary

Since 2001, polio cases had not been found in ASEAN countries. However, in 2004 it returned and attacked residents in ASEAN region. There was 1 case found in Laos. In 2005 the number of polio cases reached its peak. About 350 cases were reported from 2 countries in ASEAN, Cambodia and Indonesia, and 349 occurred in Indonesia. Transmission of polio could be controlled in 2006. Only 4 patients were found in this region, 2 patients originated from Indonesia and one patient each from Cambodia and Myanmar. In 2007, among ASEAN member states, polio cases was only found in Myanmar and kept increasing from 1 to 15 cases, compared to previous year.

176

Indonesia, which in 2005 got the outbreak of 349 polio cases, could control the incident that since 2007 polio case had not been found in Indonesia.

Though in 2008 polio was not found in ASEAN, there were 565 polio cases in SEARO, specifically in India and Nepal. From previous year, India had decreasing cases 36%, while Nepal had increasing 20%.

GRAPH 6.16 POLIO CASES IN ASEAN & SEARO

20042008

Source: WHO vaccine‐preventable disease monitoring system, 2009 global summary

Comparing to ASEAN member states, polio cases were high cumulatively in SEARO since 2002 and years before. During 2004‐2006, it slowly began to increase. This increasing number was due to a big contribution from India, as one of 4 Polio endemic countries. Although in 2008 India had successfully controlled number of Polio cases, about 99% cases in SEARO occurred in India. 4. Tetanus Neonatorum

Tetanus cases are mostly found in tropical countries and countries that still have low environmental health conditions. WHO data figures that deaths related to tetanus in developing countries is 135 times higher than developed countries. Tetanus is one of infectious and fatal diseases.

Tetanus in infants is also known as Tetanus Neonatorum because it generally occurs in newborns or under one month of age. The cause is Clostridium Tetani spore that enter body through injuries on umbilical cord caused by unhygienic treatment.

During 2010, Tetanus Neonatorum occurred in 7 ASEAN countries, with the highest number cases in Indonesia, over 100 cases. Singapore and Brunei Darussalam did not report any Tetanus Neonatorum cases.

Vaccine‐Preventable Disease Monitoring System 2011 records that during 2010 there were 373 tetanus neonatorum cases in India (SEARO member state) and it was far above other ASEAN member states. Indonesia and Bangladesh were on the

177

2nd and 3rd position with 137 and 117 cases. Other 3 countries, Bhutan, Korea DPR and Maldives did not report any tetanus neonatorum cases.

Number of infectious diseases that can be prevented by immunization in ASEAN and SEARO in 2010 can be seen completely in Annex 6.6.

C. HEALTH EFFORTS

1. Coverage of Immunization Immunization is one effort to prevent death in infants by giving vaccine. Some immunizations are required to be given to infants, i.e. polio, BCG and measles. BCG is usually used as a reflection of the proportion of infants protected from severe tuberculosis during the first year of their lives. It is also an indicator of access to health service.

In addition to BCG, Polio is another vaccine that should be given to infants. It is an immunization to prevent Polio disease. If BCG and Measles need 1 dosage of vaccine, Polio needs 3 dosages. Therefore, Polio3, or a condition when infants have been immunized against Polio for 3 times (3 dosages), is used to measure the success of health effort.

From some vaccine preventable diseases in infant, measles is the main cause of death. Therefore, measles prevention is an important factor in reducing Underfive Mortality Rate. One of 22 specific goals agreed in World Summit of Children Dari 22 is maintaining measles immunization coverage of 90%. In all ASEAN and SEARO member states, measles immunization is given to infants aged 9‐12 months. It is the last immunization series of other mandatory immunization (BCG, DPT, Polio, Hepatitis and Measles). Thus, when infants get measles vaccination, they are assumed having got complete immunization series. The coverage of measles vaccination describes the coverage of infants getting complete immunization series.

Comparing to other immunization in Graph 6.17, coverage of BCG vaccination to infants is usually higher. It is because the schedule of BCG vaccination is relatively earlier that the other. Some countries even give BCG injection a moment after the baby is born that the baby is still in monitoring of heath personnel. In 2009, the highest BCG coverage among ASEAN member states was attained by Brunei Darussalam, Singapore and Thailand with 99%, while the lowest was attained by Lao PDR with 67%.

In SEARO, 8 of 11 member states achieved BCG vaccination coverage of 90%. Those 8 countries were Indonesia, Myanmar, Thailand, Bangladesh, Bhutan, Korea DPR, Maldives and Sri Lanka. While, the lowest coverage was in Timor Leste with 71%.

178

GRAPH 6.17 COVERAGE OF VACCINATION IN ASEAN & SEARO, 2009

Source: WHO Immunization Summary 2011: A Statistical Reference Containing Data through 2009

During During 2008, 7 of 10 ASEAN member states had successfully achieved target of Polio3 immunization of 90%. The highest coverage was by Brunei Darussalam and Thailand with 99% and the lowest was Lao PDR with 60%. According to the same source, 7 of 11 SEARO member states got coverage of Polio3 immunization 90%. The highest coverage was Thailand with 99% and the lowest was India with 67%.

In the same year, 6 ASEAN countries had met target of measles immunization 90%. Those were Brunei Darussalam, Cambodia, Malaysia, Singapore, Viet Nam and Thailand. Brunei Darussalam was the country with the highest coverage 99%. On the other hand, Lao PDR got the lowest coverage of 59%. Meanwhile, coverage of Indonesia in 2009 was 82%.

In SEARO region, 5 of 11 countries achieved measles immunization coverage 90%. Those were Thailand, Bhutan, Korea DPR, Maldives and Sri Lanka. The country with the lowest coverage was Timor Leste with 70%.

In almost all ASEAN and SEARO countries, Hepatitis is one of basic immunization given to infants, except in India. In India, Hepatitis is not a basic immunization. Therefore, in Annex 6.7, India is the only country with low percentage of infants getting hepatitis3, which was 21%. In other countries, the coverage of Hepatitis3 reached more than 60%, in some countries it even exceeded 90%.

Indonesia had covered 93% infants getting BCG immunization, 89% infants getting polio3 immunization and 82% infants getting measles immunization. Coverage of 5 basic immunizations in ASEAN and SEARO member states is completely presented in Annex 6.7.

179

2. Lung TB Control WHO has set target of TB case detection through 70% DOTS strategy and 85%

Success Rate. In fact, TB case detection globally was 60% and success rate was 84%. It means the achievement of those 2 indicators had not met the target, though the success rate had almost reached it.

According to World Health Statistics 2011, in 2009, 3 ASEAN countries had met WHO target of TB case detection, 70%. Those were Brunei Darussalam (89%), Singapore (89%) and Malaysia (76%). Other 7 countries had not met the target yet because the coverage were only ranging from 54% ‐ 69%.

GRAPH 6.18 TB CASE DETECTION IN ASEAN & SEARO, 2009

GRAPH 6.19 TB SUCCESS RATE IN ASEAN & SEARO, 2008

Source: WHO, World Health Statistic 2011 Source: WHO, World Health Statistic 2011

From total 11 SEARO member states, only 6 countries had met WHO target of TB case detection. Bhutan had covered the highest with 100%, while Bangladesh had the lowest with 44%.

Graph 6.19 shows that in 2008 there were 8 ASEAN countries met WHO target of TB success rate (85%), while three countries, Malaysia, Singapura and Thailand had not met the WHO target yet. Indonesia was one of the countries, which had met the target, with Success Rate 91%. The highest Success rate was attained by Cambodia with 95%, and the lowest was Malaysia with 78%.

There were 9 SEARO member states met Success Rate target. The highest were Indonesia, Bangladesh and Buthan with each 91%, while the lowest was Maldives with 45%.

Meanwhile, both Graph 6.18 and Graph 6.19 indicate the success of Indonesia in meeting WHO target of success rate indicator, but Indonesia had not successfully met the target of case detection rate indicator. Among SEARO member states, Indonesia had even attained the highest rate, in addition to Bangladesh and Bhutan.

180

3. Improved DrinkingWater Source and Sanitation

During 2008, from 9 ASEAN member states (Brunei Darussalam not available), there were 6 countries with improved drinking‐water source more than 80%, while Cambodia, Lao PDR and Myanmar only had less than 80%. The highest percentage was by Malaysia and Singapore with 100% and the lowest was Lao PDR with 57%.

In the same year, among SEARO member states, almost all countries have had more than 80% population using improved drinking‐water source, except Timor Leste with only 69%. Meanwhile, the highest percentage was Korea DPR with 100% population.

Graph 6.20 shows that among all ASEAN and SEARO member states, there was a large gap between the lowest and the highest percentage of population using improved sanitation, ranging from 29% to 100%. The country with the lowest coverage was Cambodia with 29%, and the highest was Singapore with 100%.

GRAPH 6.20 PERCENTAGE OF POPULATION USING IMPROVED DRINKINGWATER SOURCE

AND SANITATION IN ASEAN & SEARO, 2008

Source: UNDP, States of the Worlds Children 2011

Comparing to population using improved drinking‐water source, percentage of population using improved sanitation was relatively low. There were 10 countries with less than 80% population using improved sanitation. Percentage of population using improved drinking‐water source and sanitation in ASEAN and SEARO in 2008 can be seen in Annex 6.3.

4. Maternal Health Care

In period 2000‐2010, from 6 reporting ASEAN member states (Brunei, Lao PDR, Malaysia and Singapore not available), Indonesia was the country with the highest maternal care (4th visit or K4) 82%, and Cambodia was recorded as the lowest with 27%. In SEARO, two countries with the highest coverage of maternal care (K4) were Korea DPR with 95% and Sri Lanka with 93%, while the lowest was in Bangladesh with 21 %.

181

Coverage of delivery assisted by skilled health assistant was various. Three countries with the highest coverage were Singapore, Brunei Darussalam and Malaysia with 100%, while the country with the lowest coverage was Lao PDR with 20%. Indonesia with 73% was on the 6th position of 10 ASEAN member states. In SEARO region, the highest was Thailand and Sri Lanka with 99%, and the lowest was Bangladesh with 18%.

Among 8 ASEAN member states (Brunei Darussalam and Malaysia not available), the highest percentage of active family planning participant of woman aged 15‐49 years was attained by Thailand with 70%, and the lowest was by Cambodia with 27%. Indonesia with coverage of 57% was on the 3rd position. berada pada peringkat ke‐3 dari 10 negara ASEAN. Meanwhile, in SEARO, the highest percentage was achieved by Thailand (70%), and the lowest was by Timor Leste with 21%.

***

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Jakarta. ___________. 2007. Beberapa Indikator Penting mengenai Indonesia. BPS, Jakarta. ___________. 2010. Perkembangan Beberapa Indikator Utama Sosial-Ekonomi Indonesia.

BPS, Jakarta. ___________. 2010. Analisis Dan Penghitungan Tingkat Kemiskinan 2010. BPS, Jakarta. ___________. 2004. Statistik Indonesia 2003. BPS, Jakarta. ___________. 2005. Statistik Indonesia 2004. BPS, Jakarta. ___________. 2006. Statistik Indonesia 2005/2006. BPS, Jakarta. ___________. 2007. Statistik Indonesia 2007. BPS, Jakarta. ___________. 2004. Statistik Kesehatan 2004. BPS, Jakarta. ___________. 2008.. Pedoman Millenium Development Goals. BPS, Jakarta. ___________. 2008.. Press Release BPS 2008: Jumlah Kemiskinan. www.bps.go.id, Jakarta. ___________. 2010.. Berita Resmi Statistik, BPS, No. 45/07/Th. XIII, 1 Juli 2010. ___________. 2010.. Data Strategis BPS, BPS, Jakarta. ___________. 2010.. Hasil Sensus Penduduk 2010, Data Agregat Per Provinsi, BPS, Jakarta.

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(Indonesia Population Projection 2000 - 2025). BPS, Jakarta. Ministry of Home Affairs. 2010. Kode dan Data Wilayah Administrasi Pemerintahan 2010.

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2010. Kemenkes, Jakarta. ___________. 2008. Laporan Hasil Riset Kesehatan Dasar, RISKESDAS Indonesia Tahun

2007. Depkes, Jakarta. ___________. 2008. Pedoman Pelaksanaan Jaminan Kesehatan Masyarakat (Jamkesmas)

2008. Depkes, Jakarta. ___________. 2008. Profil Pengendalian Penyakit Dan Penyehatan Lingkungan 2007.

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RI, Jakarta.

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Litbangkes, Jakarta. Ministry of Underdeveloped Areas Development of RI, 2010. Strategi Nasional Percepatan

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2007/2008. UNDP, New York. UNAIDS. 2010. 2008 Report on The Global AIDS Epidemic. UNAIDS/WHO. UNICEF. 2008. The State of the World’s Children 2008. UNICEF/WHO, New York. ___________. 2009. The State of the World’s Children 2009. UNICEF/WHO, New York. ___________. 2008. Incidence Series Immunization 2007. UNICEF/WHO, New York. ___________. 2008. Immunization Summary: The 2007 Edition. UNICEF/WHO, New York. WHO. 2008. World Health Statistics 2007. WHO Press, Geneva. ___________. World Health Statistics 2008. WHO Press, Geneva. ___________. 2008. WHO Vaccine – Preventable Diseases, Monitoring System. WHO, New

York. ___________. 2010. Cumulative Number of Confirmed Human Cases of Avian Influenza A/(H5N1) Repoerted to WHO 13 May 2011 (http://www.who.int/csr/disease/avian_influenza/country/cases_table_2011_05_13/en/index.html accessed on 20 June 2011)

***

Annex 2.1

Districts Municipalities Districts+Municipalities Subdistricts(1) (2) (3) (4) (5) (6)1 Aceh 18 5 23 275 6,4202 North Sumatera 25 8 33 410 5,6563 West Sumatera 12 7 19 169 9684 Riau 10 2 12 154 1,5685 Jambi 9 2 11 128 1,3216 South Sumatera 11 4 15 217 2,8957 Bengkulu 9 1 10 116 1,4448 Lampung 12 2 14 206 2,3589 Bangka Belitung Islands 6 1 7 44 361

10 Riau Islands 5 2 7 59 34211 DKI Jakarta 1 5 6 44 26712 West Java 17 9 26 625 5,83613 Central Java 29 6 35 573 8,57614 DI Yogyakarta 4 1 5 78 43815 East Java 29 9 38 662 8,49916 Banten 4 4 8 154 1,53517 Bali 8 1 9 57 69918 West Nusa Tenggara 8 2 10 116 91319 East Nusa Tenggara 20 1 21 288 2,82320 West Kalimantan 12 2 14 175 1,77821 Central Kalimantan 13 1 14 125 1,44522 South Kalimantan 11 2 13 151 1,97523 East Kalimantan 10 4 14 136 1,43924 North Sulawesi 11 4 15 156 1,54225 Central Sulawesi 10 1 11 148 1,73226 South Sulawesi 21 3 24 302 2,87427 Southeast Sulawesi 10 2 12 201 1,84328 Gorontalo 5 1 6 65 59529 West Sulawesi 5 0 5 69 56930 Maluku 9 2 11 76 89831 North Maluku 7 2 9 111 1,05432 West Papua 10 1 11 160 1,35433 Papua 28 1 29 348 3,621

399 98 497 6,598 75,638

Source : Ministry of Home Affairs Republic of Indonesia, 2010

Villages(7)

DISTRIBUTION OF GOVERNMENT ADMINISTRATION BY PROVINCE, 2010

Indonesia

No Provinces Distibution of Government Administration

Annex 2.2

No Provinces Males Females Males and Females Sex Ratio(1) (2) (3) (4) (5) (6)

1 Aceh 2,248,952 2,245,458 4,494,410 100

2 North Sumatera 6,483,354 6,498,850 12,982,204 100

3 West Sumatera 2,404,377 2,442,532 4,846,909 98

4 Riau 2,853,168 2,685,199 5,538,367 106

5 Jambi 1,581,110 1,511,155 3,092,265 105

6 South Sumatera 3,792,647 3,657,747 7,450,394 104

7 Bengkulu 877,159 838,359 1,715,518 105

8 Lampung 3,916,622 3,691,783 7,608,405 106

9 Bangka Belitung Islands 635,094 588,202 1,223,296 108

10 Riau Islands 862,144 817,019 1,679,163 106

11 DKI Jakarta 4,870,938 4,736,849 9,607,787 103

12 West Java 21,907,040 21,146,692 43,053,732 104

13 Central Java 16,091,112 16,291,545 32,382,657 99

14 DI Yogyakarta 1,708,910 1,748,581 3,457,491 98

15 East Java 18,503,516 18,973,241 37,476,757 98

16 Banten 5,439,148 5,193,018 10,632,166 105

17 Bali 1,961,348 1,929,409 3,890,757 102

18 West Nusa Tenggara 2,183,646 2,316,566 4,500,212 94

19 East Nusa Tenggara 2,326,487 2,357,340 4,683,827 99

20 West Kalimantan 2,246,903 2,149,080 4,395,983 105

21 Central Kalimantan 1,153,743 1,058,346 2,212,089 109

22 South Kalimantan 1,836,210 1,790,406 3,626,616 103

23 East Kalimantan 1,871,690 1,681,453 3,553,143 111

24 North Sulawesi 1,159,903 1,110,693 2,270,596 104

25 Central Sulawesi 1,350,844 1,284,165 2,635,009 105

26 South Sulawesi 3,924,431 4,110,345 8,034,776 95

27 Southeast Sulawesi 1,121,826 1,110,760 2,232,586 101

28 Gorontalo 521,914 518,250 1,040,164 101

29 West Sulawesi 581,526 577,125 1,158,651 101

30 Maluku 775,477 758,029 1,533,506 102

31 North Maluku 531,393 506,694 1,038,087 105

32 West Papua 402,398 358,024 760,422 112

33 Papua 1,505,883 1,327,498 2,833,381 113

119,630,913 118,010,413 237,641,326 101Source: BPS-Statistics Indonesia, Population Census 2010

TOTAL POPULATION BY SEX AND SEX RATIOBY PROVINCE, 2010

Indonesia

Annex 2.3

No Age Groups(1) (2)

1 0 - 4 11,658,856 11,013,204 22,672,060

2 5 - 9 11,970,804 11,276,366 23,247,170

3 10 - 14 11,659,310 11,018,180 22,677,490

4 15 - 19 10,610,119 10,260,967 20,871,086

5 20 - 24 9,881,969 9,996,448 19,878,417

6 25 - 29 10,626,458 10,673,629 21,300,087

7 30 - 34 9,945,211 9,876,989 19,822,200

8 35 - 39 9,333,720 9,163,782 18,497,502

9 40 - 44 8,319,453 8,199,015 16,518,468

10 45 - 49 7,030,168 7,005,784 14,035,952

11 50 - 54 5,863,756 5,693,103 11,556,859

12 55 - 59 4,398,805 4,046,531 8,445,336

13 60 - 64 2,926,073 3,130,238 6,056,311

14 65 - 69 2,224,273 2,467,877 4,692,150

15 70 - 74 1,530,938 1,924,247 3,455,185

16 75+ 1,605,817 2,227,546 3,833,363

17 Not Answered 45,183 36,507 81,690

Total 119,630,913 118,010,413 237,641,326Source: BPS-Statistics Indonesia, Population Census 2010

TOTAL POPULATION BY SEX AND AGE GROUPS, 2010

Males and Females(5)

Females(4)

Males(3)

Annex 2.4

1971-1980 1980-1990 1990-2000 2000-2010(1) (2) (3) (4) (5) (6)1 Aceh 2.93 2.72 1.46 1.352 North Sumatera 2.60 2.06 1.32 1.113 West Sumatera 2.21 1.62 0.62 1.344 Riau 3.11 4.30 4.27 3.595 Jambi 4.07 3.40 1.83 2.556 South Sumatera 3.32 3.15 1.24 1.857 Bengkulu 4.39 4.38 2.20 1.668 Lampung 5.77 2.67 1.17 1.239 Bangka Belitung Islands NA NA NA 3.1410 Riau Islands NA NA NA 4.9911 DKI Jakarta 3.93 2.42 0.13 1.3912 West Java 2.66 2.57 2.24 1.8913 Central Java 1.64 1.18 0.94 0.3714 DI Yogyakarta 1.10 0.57 0.72 1.0215 East Java 1.49 1.08 0.70 0.7616 Banten NA NA NA 2.7917 Bali 1.69 1.18 1.31 2.1518 West Nusa Tenggara 2.36 2.15 1.81 1.1719 East Nusa Tenggara 1.95 1.79 1.63 2.0620 West Kalimantan 2.31 2.65 2.28 0.9121 Central Kalimantan 3.43 3.88 2.98 1.7422 South Kalimantan 2.16 2.32 1.45 1.9823 East Kalimantan 5.73 4.42 2.80 3.8024 North Sulawesi 2.31 1.60 1.40 1.2625 Central Sulawesi 3.86 2.87 2.57 1.9426 South Sulawesi 1.74 1.42 1.48 1.1727 Southeast Sulawesi 3.09 3.66 3.14 2.0728 Gorontalo NA NA NA 2.2429 West Sulawesi NA NA NA 2.6730 Maluku 2.88 2.79 0.67 2.7831 North Maluku NA NA NA 2.4432 West Papua NA NA NA 3.7233 Papua 2.67 3.46 3.10 5.46

2.31 1.98 1.40 1.49Source : BPS-Statistics Indonesia, Population Census 1971, 1980, 1990, 2000, Population Inter Census (SUPAS) 1995 and Population Census 2010, "Laporan Bulanan Data Sosial Ekonomi Edisi 10 March 2011 "

NA: Province Expansion Since 1999

POPULATION GROWTH RATEBY PROVINCE 1971 - 2010

Indonesia

Population Growth Rate (% per Year)ProvincesNo

Annex 2.5

(1) (2) (3) (4) (5) (6) (7)1 Aceh 57,956 2,248,952 2,245,458 4,494,410 78 2 North Sumatera 72,981 6,483,354 6,498,850 12,982,204 178 3 West Sumatera 42,013 2,404,377 2,442,532 4,846,909 115 4 Riau 87,024 2,853,168 2,685,199 5,538,367 64 5 Jambi 50,058 1,581,110 1,511,155 3,092,265 62 6 South Sumatera 91,592 3,792,647 3,657,747 7,450,394 81 7 Bengkulu 19,919 877,159 838,359 1,715,518 86 8 Lampung 34,624 3,916,622 3,691,783 7,608,405 220 9 Bangka Belitung Islands 16,424 635,094 588,202 1,223,296 74 10 Riau Islands 8,202 862,144 817,019 1,679,163 205 11 DKI Jakarta 664 4,870,938 4,736,849 9,607,787 14,469 12 West Java 35,378 21,907,040 21,146,692 43,053,732 1,217 13 Central Java 32,801 16,091,112 16,291,545 32,382,657 987 14 DI Yogyakarta 3,133 1,708,910 1,748,581 3,457,491 1,104 15 East Java 47,800 18,503,516 18,973,241 37,476,757 784 16 Banten 9,663 5,439,148 5,193,018 10,632,166 1,100 17 Bali 5,780 1,961,348 1,929,409 3,890,757 673 18 West Nusa Tenggara 18,572 2,183,646 2,316,566 4,500,212 242 19 East Nusa Tenggara 48,718 2,326,487 2,357,340 4,683,827 96 20 West Kalimantan 147,307 2,246,903 2,149,080 4,395,983 30 21 Central Kalimantan 153,565 1,153,743 1,058,346 2,212,089 14 22 South Kalimantan 38,744 1,836,210 1,790,406 3,626,616 94 23 East Kalimantan 204,534 1,871,690 1,681,453 3,553,143 17 24 North Sulawesi 13,852 1,159,903 1,110,693 2,270,596 164 25 Central Sulawesi 61,841 1,350,844 1,284,165 2,635,009 43 26 South Sulawesi 46,717 3,924,431 4,110,345 8,034,776 172 27 Southeast Sulawesi 38,068 1,121,826 1,110,760 2,232,586 59 28 Gorontalo 11,257 521,914 518,250 1,040,164 92 29 West Sulawesi 16,787 581,526 577,125 1,158,651 69 30 Maluku 46,914 775,477 758,029 1,533,506 33 31 North Maluku 31,983 531,393 506,694 1,038,087 32 32 West Papua 97,024 402,398 358,024 760,422 8 33 Papua 319,036 1,505,883 1,327,498 2,833,381 9

1,910,931.32 119,630,913 118,010,413 237,641,326 124Source: (a) Directorate General PUM of Ministry of Home Affairs, 2010

(b) BPS-Statistics Indonesia, Population Census 2010

Indonesia

Total Population (people) [b]Mainland Area

(Km²) (a)

MAINLAND AREA, TOTAL POPULATION AND POPULATION DENSITY BY PROVINCE 2010

No Provinces Males Females Males + Females

Population Density Per Km²

Annex 2.6

Not Not Not

0-14 15-64 65+ Answered 0-14 15-64 65+ Answered 0-14 15-64 65+ Answered

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18)

1 Aceh 738,658 1436703 73,588 3 2,248,952 699,372 1,448,615 97,468 3 2,245,458 1,438,030 2,885,318 171,056 6 4,494,410 55.77

2 North Sumatera 2,219,026 4,053,861 210,119 348 6,483,354 2,096,415 4,108,097 294,014 324 6,498,850 4,315,441 8,161,958 504,133 672 12,982,204 59.05

3 West Sumatera 797,096 1,495,487 110,395 1,399 2,404,377 749,428 1,527,492 164,183 1,429 2,442,532 1,546,524 3,022,979 274,578 2,828 4,846,909 60.24

4 Riau 944,893 1,840,012 68,042 221 2,853,168 890,865 1,721,924 72,192 218 2,685,199 1,835,758 3,561,936 140,234 439 5,538,367 55.48

5 Jambi 485,019 1,043,069 52,643 379 1,581,110 459,430 994,973 56,501 251 1,511,155 944,449 2,038,042 109,144 630 3,092,265 51.70

6 South Sumatera 1,158,639 2,493,548 139,506 954 3,792,647 1,095,422 2,398,153 163,521 651 3,657,747 2,254,061 4,891,701 303,027 1,605 7,450,394 52.27

7 Bengkulu 269,637 575,562 31,001 959 877,159 254,588 548,343 34,839 589 838,359 524,225 1,123,905 65,840 1,548 1,715,518 52.50

8 Lampung 1,152,258 2,578,331 183,914 2,119 3,916,622 1,086,878 2,417,964 185,659 1,282 3,691,783 2,239,136 4,996,295 369,573 3,401 7,608,405 52.21

9 Bangka Belitung Islands 184,862 429,702 20,412 118 635,094 175,674 388,249 24,216 63 588,202 360,536 817,951 44,628 181 1,223,296 49.53

10 Riau Islands 254,021 590,833 16,910 380 862,144 238,612 561,038 17,116 253 817,019 492,633 1,151,871 34,026 633 1,679,163 45.72

11 DKI Jakarta 1,179,776 3,550,850 138,441 1,871 4,870,938 1,117,856 3,462,458 155,246 1,289 4,736,849 2,297,632 7,013,308 293,687 3,160 9,607,787 36.95

12 West Java 6,470,027 14,503,547 918,749 14,717 21,907,040 6,124,621 13,950,656 1,059,644 11,771 21,146,692 12,594,648 28,454,203 1,978,393 26,488 43,053,732 51.22

13 Central Java 4,376,532 10,682,795 1,031,768 17 16,091,112 4,139,235 10,860,520 1,291,773 17 16,291,545 8,515,767 21,543,315 2,323,541 34 32,382,657 50.31

14 DI Yogyakarta 390,675 1,171,571 143,748 2,916 1,708,910 368,647 1,193,515 184,784 1,635 1,748,581 759,322 2,365,086 328,532 4,551 3,457,491 46.00

15 East Java 4,724,653 12,642,240 1,122,271 14,352 18,503,516 4,486,631 12,946,813 1,526,344 13,453 18,973,241 9,211,284 25,589,053 2,648,615 27,805 37,476,757 46.35

16 Banten 1,640,944 3,662,065 135,893 246 5,439,148 1,541,255 3,488,636 162,846 281 5,193,018 3,182,199 7,150,701 298,739 527 10,632,166 48.68

17 Bali 520,899 1,321,726 118,720 3 1,961,348 486324 1,304,905 138,180 1,929,409 1,007,223 2,626,631 256,900 3 3,890,757 48.13

18 West Nusa Tenggara 719,018 1,369,324 95,287 17 2,183,646 682,767 1,523,817 109,968 14 2,316,566 1,401,785 2,893,141 205,255 31 4,500,212 55.55

19 East Nusa Tenggara 898,567 1,316,603 111,125 192 2,326,487 849,112 1,387,063 121,031 134 2,357,340 1,747,679 2,703,666 232,156 326 4,683,827 73.23

20 West Kalimantan 717,996 1,450,825 77,726 356 2,246,903 682,208 1,387,061 79,510 301 2,149,080 1,400,204 2,837,886 157,236 657 4,395,983 54.88

21 Central Kalimantan 352,275 769,516 31,951 1 1,153,743 332,198 693,908 32,239 1 1,058,346 684,473 1,463,424 64,190 2 2,212,089 51.16

22 South Kalimantan 544,555 1,236,416 55,232 7 1,836,210 511,351 1,203,573 75,477 5 1,790,406 1,055,906 2,439,989 130,709 12 3,626,616 48.63

23 East Kalimantan 561,000 1,266,864 42,529 1,297 1,871,690 525,732 1,113,837 41,038 846 1,681,453 1,086,732 2,380,701 83,567 2,143 3,553,143 49.16

24 North Sulawesi 327,254 776,894 55,706 49 1,159,903 305,156 734,341 71,169 27 1,110,693 632,410 1,511,235 126,875 76 2,270,596 50.24

25 Central Sulawesi 450,644 853,448 46,405 347 1,350,844 424,749 810,799 48,376 241 1,284,165 875,393 1,664,247 94,781 588 2,635,009 58.30

26 South Sulawesi 1,276,892 2,461,105 186,051 383 3,924,431 1,205,617 2,649,089 255,327 312 4,110,345 2,482,509 5,110,194 441,378 695 8,034,776 57.22

27 Southeast Sulawesi 403,131 679,618 38,210 867 1,121,826 379,095 684,977 46,011 677 1,110,760 782,226 1,364,595 84,221 1,544 2,232,586 63.49

28 Gorontalo 170,664 334,693 16,551 6 521,914 162,501 334,990 20,750 9 518,250 333,165 669,683 37,301 15 1,040,164 55.32

29 West Sulawesi 214,904 344,712 21,700 210 581,526 202,737 348,882 25,342 164 577,125 417,641 693,594 47,042 374 1,158,651 67.00

30 Maluku 286,647 459,419 29,411 NA 775,477 267,854 457,766 32,409 NA 758,029 554,501 917,185 61,820 NA 1,533,506 67.20

31 North Maluku 190,293 326,613 14,440 47 531,393 179,157 312,135 15,375 27 506,694 369,450 638,748 29,815 74 1,038,087 62.51

32 West Papua 134,483 260,711 6,922 282 402,398 125,119 227,217 5,594 94 358,024 259,602 487,928 12,516 376 760,422 55.77

33 Papua 533,032 957,069 15,662 120 1,505,883 461,144 854,680 11,528 146 1,327,498 994,176 1,811,749 27,190 266 2,833,381 56.37

35,288,970 78,935,732 5,361,028 45,183 119,630,913 33,307,750 78,046,486 6,619,670 36,507 118,010,413 68,596,720 156,982,218 11,980,698 81,690 237,641,326 51.33

Source: BPS-Statistics Indonesia, People Estimation of Health Program Target, from"Data Penduduk Sasaran Program Pembangunan Kesehatan 2007 - 2011", Ministry of Health Republic of Indonesia, 2009.

NA: Not Aplicable

Males + FemalesDependency

Ratio

Females

Age Group (Years Old)Total



Indonesia

NUMBER OF POPULATION BY SEX, AGE GROUP AND DEPENDENCY RATIOBY PROVINCE 2010

No Provinces

Males

Annex 2.7

Number of Districts

Underdeveloped Districts (%) Number of

DistrictsUnderdeveloped

Districts (%) Number of Districts

Underdeveloped Districts (%) Number of

DistrictsUnderdeveloped

Districts (%) Number of Districts

Underdeveloped Districts (%)

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17)

1 Aceh 21 16 76.19 23 16 69.57 23 16 69.57 23 16 69.57 23 12 52.17

2 North Sumatera 25 6 24.00 28 6 21.43 33 6 18.18 33 6 18.18 33 6 18.18

3 West Sumatera 19 9 47.37 19 9 47.37 19 9 47.37 19 9 47.37 19 8 42.11

4 Riau 11 2 18.18 11 2 18.18 11 2 18.18 12 2 16.67 12 0 0.00

5 Jambi 10 2 20.00 10 2 20.00 11 2 18.18 11 2 18.18 11 0 0.00

6 South Sumatera 14 6 42.86 15 6 40.00 15 6 40.00 15 6 40.00 15 7 46.67

7 Bengkulu 9 8 88.89 9 8 88.89 10 8 80.00 10 8 80.00 10 6 60.00

8 Lampung 10 5 50.00 11 5 45.45 14 5 35.71 14 5 35.71 14 4 28.57

9 Bangka Belitung Islands 7 3 42.86 7 3 42.86 7 3 42.86 7 3 42.86 7 1 14.29

10 Riau Islands 6 1 16.67 6 1 16.67 7 1 14.29 7 1 14.29 7 2 28.57

11 DKI Jakarta 6 0 0.00 6 0 0 6 0 0.00 6 0 0.00 6 0 0.00

12 West Java 25 2 8.00 26 2 7.692 26 2 7.69 26 2 7.69 26 2 7.69

13 Central Java 35 3 8.57 35 3 8.571 35 3 8.57 35 3 8.57 35 0 0.00

14 DI Yogyakarta 5 2 40.00 5 2 40.00 5 2 40.00 5 2 40.00 5 0 0.00

15 East Java 38 8 21.05 38 8 21.05 38 8 21.05 38 8 21.05 38 5 13.16

16 Banten 6 2 33.33 7 2 28.57 8 2 25.00 8 2 25.00 8 2 25.00

17 Bali 9 1 11.11 9 1 11.11 9 1 11.11 9 1 11.11 9 0 0.00

18 West Nusa Tenggara 9 7 77.78 9 6 66.67 10 6 60.00 10 7 70.00 10 8 80.00

19 East Nusa Tenggara 16 15 93.75 20 15 75.00 21 15 71.43 21 15 71.43 21 20 95.24

20 West Kalimantan 12 9 75.00 14 10 71.43 14 10 71.43 14 9 64.29 14 10 71.43

21 Central Kalimantan 14 7 50.00 14 7 50.00 14 7 50.00 14 7 50.00 14 1 7.14

22 South Kalimantan 13 0 0.00 13 2 15.38 13 2 15.38 13 2 15.38 13 2 15.38

23 East Kalimantan 13 5 38.46 14 3 21.43 14 3 21.43 14 3 21.43 14 3 21.43

24 North Sulawesi 9 2 22.22 13 2 15.38 15 2 13.33 15 2 13.33 15 3 20.00

25 Central Sulawesi 10 9 90.00 10 9 90.00 11 9 81.82 11 9 81.82 11 10 90.91

26 South Sulawesi 23 13 56.52 23 13 56.52 24 13 54.17 24 13 54.17 24 4 16.67

27 Southeast Sulawesi 10 8 80.00 12 8 66.67 12 8 66.67 12 8 66.67 12 9 75.00

28 Gorontalo 5 4 80.00 6 4 66.67 6 4 66.67 6 4 66.67 6 3 50.00

29 West Sulawesi 5 5 100.00 5 5 100.00 5 5 100.00 5 5 100.00 5 5 100.00

30 Maluku 8 7 87.50 9 7 77.78 11 7 63.64 11 7 63.64 11 8 72.73

31 North Maluku 8 6 75.00 8 6 75.00 9 6 66.67 9 6 66.67 9 7 77.78

32 West Papua 9 7 77.78 9 7 77.78 10 7 70.00 11 7 63.64 11 8 72.73

33 Papua 20 19 95.00 21 19 90.48 29 19 65.52 29 19 65.52 29 27 93.10

440 199 45.2 465 199 42.80 495 199 40.20 497 199 40.04 497 183 36.82Source: Ministry of Underdeveloped Area Development Republic of Indonesia , 2010

Indonesia

2006No Provinces

NUMBER AND PERCENTAGE OF UNDERDEVELOPED DISTRICTSBY PROVINCE 2006 - 2010

20082007 2009 2010

Annex 2.8

No Provinces Category(1) (2) (4)

1 A c e h 1 Sabang Very Priority

2 North Sumatera 1 Serdang Bedagai Priority

3 R i a u 1 Dumai Priority

2 Bengkalis Priority

3 Rotan Hilir Priority

4 Indragiri Hilir Priority

5 Meranti Islands Priority

4 Riau Islands 1 Karimun Priority

2 Batam Very Priority

3 Natuna Very Priority

4 Bintan Priority

5 Anambas Islands Priority

5 East Nusa Tenggara 1 Kupang Very Priority

2 Timor Tengah Utara Very Priority

3 Belu Very Priority

4 Alor Priority

5 Rote Ndao Priority

6 West Kalimantan 1 Sambas Very Priority

2 Bengkayang Very Priority

3 Sanggau Very Priority

4 Sintang Very Priority

5 Hulu Very Priority

7 East Kalimantan 1 Nunukan Very Priority

2 Malinau Very Priority

3 Kutai Barat Very Priority

8 North Sulawesi 1 Talaud Islands Very Priority

2 Sangihe Islands Very Priority

9 Maluku 1 Maluku Barat Daya Priority

2 Maluku Tenggara Barat Priority

3 Aru Islands Priority

10 North Maluku 1 Morotai Priority

11 West Papua 1 Raja Ampat Priority

12 Papua 1 Keerom Priority

2 Merauke Very Priority

3 Boven Digoel Very Priority

4 Bintang Mountains Priority

5 Jayapura Very Priority

6 Supiori Priority

Source: Ministry of Underdeveloped Area Development Republic of Indonesia, 2010

Note: Very Priority : if it meets the three indicators of underdevelop areaPriority : if it meets the two indicators of underdevelop area

38 DISTRICTS AS PRIORITY AND VERY PRIORITY AREAIN BORDER AND OUTER ISLANDS REGION IN INDONESIA 2010

Indonesia

Districts(3)

38

Annex 2.9

Urban Rural Urban + Rural(1) (2) (3) (4) (5)

1 Aceh 308,306 266,285 278,389

2 North Sumatera 247,547 201,810 222,898

3 West Sumatera 262,173 214,458 230,823

4 Riau 276,627 235,267 256,112

5 Jambi 262,826 193,834 216,187

6 South Sumatera 258,304 198,572 221,687

7 Bengkulu 255,762 209,616 225,857

8 Lampung 236,098 189,954 202,414

9 Bangka Belitung Islands 289,644 283,302 286,334

10 Riau Islands 321,668 265,258 295,095

11 DKI Jakarta 331,169 - 331,169

12 West Java 212,210 185,335 201,138

13 Central Java 205,606 179,982 192,435

14 DI Yogyakarta 240,282 195,406 224,258

15 East Java 213,383 185,879 199,327

16 Banten 220,771 188,741 208,023

17 Bali 222,868 188,071 208,152

18 West Nusa Tenggara 223,784 176,283 196,185

19 East Nusa Tenggara 241,807 160,743 175,308

20 West Kalimantan 207,884 182,293 189,407

21 Central Kalimantan 220,658 212,790 215,466

22 South Kalimantan 230,712 196,753 210,850

23 East Kalimantan 307,479 248,583 285,218

24 North Sulawesi 202,469 188,096 194,334

25 Central Sulawesi 231,225 195,795 203,237

26 South Sulawesi 186,693 151,879 163,089

27 Southeast Sulawesi 177,787 161,451 165,208

28 Gorontalo 180,606 167,162 171,371

29 West Sulawesi 182,206 165,914 171,356

30 Maluku 249,895 217,599 226,030

31 North Maluku 238,533 202,185 212,982

32 West Papua 319,170 287,512 294,727

33 Papua 298,285 247,563 259,128

232,988 192,354 211,726Source: BPS-Statistics Indonesia, 2011

POVERTY LINE OF POOR PEOPLE BY PROVINCE AND AREA (MARCH, 2010)

Indonesia

ProvincesNoPoverty Line of Poor People (Rupiahs/Capita/Month)

Annex 2.10

Number (thousand) % Number

(thousand) % Number (thousand) % Number



(thousand) % Number (thousand) %

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18) (19) (20)

1 Aceh 195.8 16.67 763.9 26.30 959.7 23.53 182.1 15.44 710.7 24.37 892.8 21.80 173.4 14.65 688.5 23.54 861.9 20.982 North Sumatera 761.7 12.85 852.1 12.29 1,613.8 12.55 688.0 11.45 811.6 11.56 1499.7 11.51 689.0 11.34 801.9 11.29 1490.9 11.313 West Sumatera 127.3 8.30 349.9 11.91 477.2 10.67 115.8 7.50 313.5 10.00 429.3 9.54 106.2 6.84 323.8 10.88 430.0 9.504 Riau 245.1 9.12 321.6 12.16 566.7 10.63 225.6 8.04 301.9 10.93 527.5 9.48 208.9 7.17 291.3 10.15 500.3 8.655 Jambi 120.1 13.28 140.2 7.43 260.3 9.32 117.3 12.71 132.4 6.88 249.7 8.77 110.8 11.80 130.8 6.67 241.6 8.346 South Sumatera 514.7 18.87 734.9 17.01 1,249.6 17.73 470.0 16.93 697.9 15.87 1167.9 16.28 471.2 16.73 654.5 14.67 1125.7 15.477 Bengkulu 131.8 21.95 220.2 19.93 352.0 20.64 117.6 19.16 206.5 18.28 324.1 18.59 117.2 18.75 207.7 18.05 324.9 18.308 Lampung 365.6 17.85 1226.0 22.14 1,591.6 20.98 349.3 16.78 1209.0 21.49 1558.0 20.22 301.7 14.30 1178.2 20.65 1479.9 18.949 Bangka Belitung Islands 36.5 7.57 50.2 9.52 86.7 8.58 28.8 5.86 47.9 8.93 76.6 7.46 21.9 4.39 45.9 8.45 67.8 6.5110 Riau Islands 69.2 8.81 67.1 9.60 136.4 9.18 62.6 7.63 65.6 8.98 128.2 8.27 67.1 7.87 62.6 8.24 129.7 8.0511 DKI Jakarta 379.6 4.29 - - 379.6 4.29 323.2 3.62 - - 323.0 3.62 312.2 3.48 - - 312.2 3.4812 West Java 2617.4 10.88 2705.0 16.05 5,322.4 13.01 2531.4 10.33 2452.2 14.28 4983.6 11.96 2350.5 9.43 2423.2 13.88 4773.7 11.2713 Central Java 2556.5 16.34 3633.1 21.96 6,189.6 19.23 2420.9 15.41 3304.8 19.89 5725.7 17.72 2258.9 14.33 3110.2 18.66 5369.2 16.5614 DI Yogyakarta 324.2 14.99 292.1 24.32 616.3 18.32 311.5 14.25 274.3 22.60 585.8 17.23 308.4 13.98 268.9 21.95 577.3 16.8315 East Java 2310.6 13.15 4340.6 23.64 6,651.3 18.51 2148.5 12.17 3874.1 21.00 6022.6 16.68 1873.6 10.58 3655.8 19.74 5529.3 15.2616 Banten 371.0 6.15 445.7 11.18 816.7 8.15 348.7 5.62 439.3 10.70 788.1 7.64 318.3 4.99 439.9 10.44 758.2 7.1617 Bali 115.1 5.70 100.7 6.81 215.7 6.17 92.1 4.50 89.7 5.98 181.7 5.13 83.6 4.04 91.3 6.02 174.9 4.8818 West Nusa Tenggara 560.4 29.47 520.2 19.73 1,080.6 23.81 557.5 28.84 493.4 18.40 1051.0 22.78 552.6 28.16 456.7 16.78 1009.4 21.5519 East Nusa Tenggara 119.3 15.50 979.1 27.88 1,098.3 25.65 109.4 14.01 903.7 25.35 1013.2 23.31 107.4 13.57 906.7 25.10 1014.1 23.0320 West Kalimantan 127.5 9.98 381.3 11.49 508.8 11.07 94.0 7.23 340.8 10.09 434.8 9.30 83.4 6.31 345.3 10.06 428.8 9.0221 Central Kalimantan 45.3 5.81 154.6 10.20 200.0 8.71 35.8 4.45 130.1 8.34 165.9 7.02 33.2 4.03 131.0 8.19 164.2 6.7722 South Kalimantan 81.1 5.79 137.8 6.97 218.9 6.48 68.8 4.82 107.2 5.33 176.0 5.12 65.8 4.54 116.2 5.69 182.0 5.2123 East Kalimantan 110.4 5.89 176.1 15.47 286.4 9.51 77.1 4.00 162.2 13.86 239.2 7.73 79.2 4.02 163.8 13.66 243.0 7.6624 North Sulawesi 72.7 7.56 150.9 12.04 223.5 10.10 79.3 8.14 140.3 11.05 219.6 9.79 76.4 7.75 130.4 10.14 206.7 9.1025 Central Sulawesi 60.9 11.47 463.8 23.22 524.7 20.75 54.7 10.09 435.2 21.35 489.8 18.98 54.2 9.82 420.8 20.26 475.0 18.0726 South Sulawesi 150.8 6.05 880.9 16.79 1,031.7 13.34 124.5 4.94 839.1 15.81 963.6 12.31 119.2 4.70 794.3 14.88 913.4 11.6027 Southeast Sulawesi 27.2 5.29 408.7 23.78 435.9 19.53 26.2 4.96 408.2 23.11 434.3 18.93 22.2 4.10 378.5 20.92 400.7 17.0528 Gorontalo 27.5 9.87 194.1 31.72 221.6 24.88 22.2 7.89 202.4 32.82 224.6 25.01 17.8 6.29 192.1 30.89 209.9 23.1929 West Sulawesi 48.3 14.14 122.8 18.03 171.1 16.73 43.5 12.59 114.7 16.65 158.2 15.29 33.7 9.70 107.6 15.52 141.3 13.5830 Maluku 44.7 12.97 346.7 35.56 391.3 29.66 38.8 11.03 341.2 34.30 380.0 28.23 36.4 10.20 342.3 33.94 378.6 27.7431 North Maluku 9.0 3.27 96.0 14.67 105.1 11.28 8.7 3.10 89.3 13.42 98.0 10.36 7.6 2.66 83.4 12.28 91.1 9.4232 West Papua 9.5 5.93 237.0 43.74 246.5 35.12 8.6 5.22 248.3 44.71 256.8 35.71 9.6 5.73 246.7 43.48 256.3 34.8833 Papua 31.6 7.02 701.5 45.96 733.1 37.08 28.2 6.10 732.2 46.81 760.4 37.53 26.2 5.55 735.4 46.02 761.6 36.80

12768.5 11.65 22194.8 18.93 34963.3 15.42 11910.5 10.72 20619.4 17.35 32530.0 14.15 11097.8 9.87 19925.6 16.56 31023.4 13.33Source: BPS-Statistics Indonesia, "Berita Resmi Statistik No. 45/07/Th.XIII" 1 July 2010

Urban + Rural

Indonesia

March 2010Urban Rural Urban + Rural

NUMBER AND PERCENTAGE OF POOR PEOPLE BY PROVINCE AND AREA 2008 - 2010

No Provinces

March 2008 March 2009Urban Rural Urban + Rural Urban Rural

Turbid Color Tasted Foam Smell Good*)(1) (2) (3) (4) (5) (6) (7) (8)1 Aceh 12.3 6.2 2.1 1.1 2.2 84.52 North Sumatera 11.4 7.0 5.6 1.5 4.2 84.53 West Sumatera 6.4 5.7 2.8 1.3 3.4 91.34 Riau 5.6 4.9 3.9 2.3 3.9 90.55 Jambi 11.9 6.6 2.5 1.2 3.8 84.26 South Sumatera 14.7 7.4 6.3 2.2 4.5 81.47 Bengkulu 10.3 6.0 7.8 1.3 3.4 84.18 Lampung 10.4 5.1 3.3 2.3 3.2 87.19 Bangka Belitung Islands 2.2 1.0 6.2 0.7 0.7 92.010 Riau Islands 3.8 3.0 2.3 0.9 1.5 94.911 DKI Jakarta 4.0 1.9 3.0 0.5 3.6 92.412 West Java 4.6 2.8 2.5 0.8 2.2 92.613 Central Java 4.5 2.3 1.4 0.7 1.9 94.114 DI Yogyakarta 4.6 2.0 0.8 0.2 0.9 94.315 East Java 4.5 2.4 2.2 0.7 1.8 93.816 Banten 5.8 3.5 4.7 1.6 3.0 90.517 Bali 1.9 2.2 1.6 0.4 1.2 95.718 West Nusa Tenggara 6.8 3.8 5.7 1.0 2.0 89.019 East Nusa Tenggara 5.7 5.4 3.0 0.8 1.0 88.220 West Kalimantan 14.6 12.0 8.9 6.5 5.9 75.621 Central Kalimantan 19.3 12.1 4.0 1.3 4.9 76.822 South Kalimantan 18.2 10.5 6.2 1.1 4.1 76.323 East Kalimantan 11.1 7.4 3.5 1.6 3.2 87.224 North Sulawesi 7.7 4.5 2.0 0.4 1.3 91.525 Central Sulawesi 11.1 7.5 9.0 1.9 4.8 79.226 South Sulawesi 7.6 3.3 5.5 1.7 4.1 87.927 Southeast Sulawesi 11.8 4.7 10.0 0.8 1.7 79.428 Gorontalo 9.1 5.6 10.3 2.9 4.7 84.529 West Sulawesi 9.8 3.4 3.1 1.3 2.7 87.630 Maluku 16.8 5.5 6.3 2.4 3.6 80.331 North Maluku 1.4 1.2 5.4 0.3 1.2 92.332 West Papua 5.1 9.3 1.4 0.9 3.6 88.833 Papua 24.2 15.4 15.6 3.0 10.4 69.0

6.9 4.0 3.4 1.2 2.7 90.0

Source: National Board of Health Research and Development, Ministry of Health Republic of Indonesia, Riskesdas 2010

IndonesiaNote: *) Good = no turbidity, no color, no taste, no foaming and no smell

Annex 2.11PERCENTAGE OF HOUSEHOLDS WITH PHYSICAL QUALITY OF DRINKING WATER

BY PROVINCE IN INDONESIA, RISKESDAS 2010

No ProvincePhysical Quality of Drinking Water

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

1 Aceh 23.0 0.4 9.3 38.7 13.4 5.0 5.1 1.0 2.7 1.42 North Sumatera 25.4 1.4 18.9 22.2 6.7 8.8 3.5 3.4 9.5 0.33 West Sumatera 26.7 0.7 5.8 23.0 13.4 10.3 9.7 1.0 9.3 0.04 Riau 2.8 0.4 19.4 35.5 22.0 2.9 2.6 6.8 7.4 0.15 Jambi 19.7 1.7 10.4 24.7 22.4 0.9 1.5 3.2 10.7 4.86 South Sumatera 12.9 0.4 6.8 33.7 18.1 3.7 1.2 3.2 19.9 0.17 Bengkulu 16.1 0.8 6.5 41.1 22.1 2.6 5.4 0.2 4.6 0.68 Lampung 5.3 0.5 6.6 48.7 27.6 3.7 5.3 1.2 1.0 0.19 Bangka Belitung Islands 0.4 0.9 15.1 36.2 25.4 3.9 3.9 1.6 12.4 0.2

10 Riau Islands 31.1 3.1 1.6 44.3 16.6 1.6 0.6 0.2 0.9 0.011 DKI Jakarta 42.5 2.2 50.6 3.4 1.1 0.1 0.0. 0.0 0.0 0.012 West Java 13.5 1.2 30.6 30.5 7.8 9.3 4.3 0.1 2.3 0.313 Central Java 19.7 0.6 14.9 36.7 8.2 13.6 3.9 0.5 1.6 0.214 DI Yogyakarta 13.2 0.3 5.7 63.2 5.4 2.3 3.0 6.8 0.1 0.015 East Java 17.6 1.3 32.4 25.5 8.1 9.4 3.3 0.7 1.6 0.116 Banten 12.6 1.4 48.2 20.3 7.6 3.3 3.8 0.4 1.8 0.717 Bali 52.2 2.1 7.9 23.1 4.8 3.0 1.6 3.5 1.7 0.118 West Nusa Tenggara 15.6 2.0 15.8 37.3 15.4 10.5 1.6 0.0 1.6 0.119 East Nusa Tenggara 30.7 12.0 2.8 11.6 7.6 20.3 6.8 1.0 3.8 3.220 West Kalimantan 13.7 0.7 6.0 14.1 13.9 4.1 1.1 8.3 36.7 1.321 Central Kalimantan 22.6 0.1 16.6 7.8 4.1 4.4 1.3 4.0 38.9 0.122 South Kalimantan 27.5 1.0 14.9 17.7 10.1 1.1 0.5 0.1 27.1 0.123 East Kalimantan 48.8 2.0 5.6 7.1 6.2 1.2 2.5 11.1 15.3 0.224 North Sulawesi 25.2 0.4 12.8 19.0 18.0 19.0 5.0 0.1 0.2 0.325 Central Sulawesi 22.3 1.9 17.3 10.7 8.1 21.5 7.2 0.1 9.1 1.826 South Sulawesi 22.3 1.1 17.9 19.7 18.1 11.8 4.0 2.1 3.0 0.027 Southeast Sulawesi 39.0 0.9 9.9 22.8 5.6 12.4 2.1 3.4 3.7 0.128 Gorontalo 17.9 0.9 10.7 47.8 9.1 4.9 2.0 0.0 6.5 0.129 West Sulawesi 8.4 0.8 10.9 25.9 7.4 23.7 6.6 2.8 13.2 0.230 Maluku 18.2 2.4 8.0 25.4 23.9 7.6 11.5 1.9 1.1 0.031 North Maluku 23.4 0.8 2.7 40.6 22.9 1.8 2.4 0.5 5.0 0.032 West Papua 24.6 0.8 10.0 26.7 9.1 2.6 0.4 13.1 12.5 0.233 Papua 15.9 0.8 9.7 16.3 14.8 5.3 17.3 11.2 7.9 0.9

19.5 1.3 22.2 27.9 10.2 8.4 3.7 1.6 4.9 0.4 Source: National Board of Health Research and Development, Ministry of Health Republic of Indonesia, Riskesdas 2010

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Annex 2.12PERCENTAGE OF HOUSEHOLDS BY SOURCE OF CLEAN WATER FACILITIES FOR DOMESTIC PURPOSE


No Provinces

Source of Clean Water Facilities

Pipe

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Indonesia

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(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14)

1 Aceh 2.7 30.4 9.6 0.9 3.9 28.9 10.1 3.5 6.0 1.9 0.9 1.32 North Sumatera 3.3 11.2 22.5 2.3 15.5 19.2 4.5 8.4 3.9 3.5 5.4 0.23 West Sumatera 1.8 17.2 20.8 0.2 3.9 22.1 10.0 9.8 9.1 1.4 3.6 0.04 Riau 4.5 25.5 1.0 1.0 9.3 23.4 11.7 0.2 0.5 21.2 1.6 0.15 Jambi 2.7 17.8 12.8 1.8 5.9 19.7 22.8 0.9 0.4 13.7 1.7 0.06 South Sumatera 2.0 14.4 10.1 1.8 4.5 33.3 16.3 2.0 1.0 4.9 9.7 0.07 Bengkulu 1.0 7.9 13.2 0.6 7.2 39.6 22.1 0.5 2.9 0.4 4.1 0.58 Lampung 4.2 4.3 4.5 1.5 4.5 49.7 23.7 1.5 4.9 0.8 0.4 0.19 Bangka Belitung Islands 12.1 27.9 0.7 0.2 7.0 25.1 17.5 3.8 0.5 3.1 2.0 0.0

10 Riau Islands 9.7 45.5 6.1 2.0 0.3 27.3 8.5 0.2 0.2 0.1 0.0 0.011 DKI Jakarta 36.2 29.3 15.8 2.5 14.8 1.0 0.1 0.2 0.0 0.1 0.0 0.012 West Java 8.8 17.3 9.4 1.8 17.8 27.1 6.0 7.6 3.6 0.2 0.4 0.013 Central Java 4.2 5.0 19.2 2.6 11.7 35.2 6.3 11.7 2.9 0.4 0.8 0.114 DI Yogyakarta 11.6 8.0 8.4 0.6 4.1 51.0 5.4 1.2 3.0 6.7 0.0 0.015 East Java 8.8 8.5 13.3 2.1 24.8 24.0 6.3 8.0 3.3 0.5 0.3 0.016 Banten 15.0 25.8 5.5 1.9 23.7 15.4 4.3 2.4 3.8 1.3 0.6 0.317 Bali 19.5 13.3 33.9 1.2 3.1 13.4 3.1 4.8 3.7 3.9 0.1 0.018 West Nusa Tenggara 5.3 13.2 12.6 2.7 12.2 33.4 11.2 8.7 0.5 0.1 0.1 0.019 East Nusa Tenggara 1.0 3.9 30.1 10.3 3.8 12.1 6.6 19.8 6.1 1.1 2.8 2.520 West Kalimantan 4.1 7.2 7.5 0.2 2.5 5.6 3.6 4.6 1.9 45.0 17.3 0.421 Central Kalimantan 3.2 14.4 14.3 0.6 10.3 10.9 3.4 1.0 8.6 8.2 25.1 0.122 South Kalimantan 2.4 12.6 27.3 2.4 13.7 14.5 7.3 0.1 0.2 2.5 17.0 0.023 East Kalimantan 6.8 29.6 26.3 0.9 3.2 3.8 3.5 1.9 2.0 14.0 7.5 0.424 North Sulawesi 8.7 25.1 18.7 0.3 6.3 11.3 8.8 15.4 5.3 0.0 0.0 0.025 Central Sulawesi 1.8 9.9 18.8 1.5 12.7 11.5 7.3 20.8 6.0 0.0 7.6 2.026 South Sulawesi 2.3 16.7 16.5 1.1 13.8 15.5 13.9 11.1 3.5 3.3 2.4 0.027 Southeast Sulawesi 5.4 8.9 32.3 1.7 4.2 26.1 8.1 8.3 1.5 0.3 3.3 0.028 Gorontalo 1.5 3.8 17.7 1.5 10.5 50.5 8.0 3.8 1.0 0.2 1.4 0.129 West Sulawesi 0.8 9.3 6.8 1.5 5.6 29.6 5.8 26.3 7.5 1.4 5.0 0.430 Maluku 0.6 4.7 14.1 3.4 7.4 22.1 24.5 10.3 8.4 3.5 0.9 0.031 North Maluku 2.5 3.8 21.0 0.6 4.2 40.3 18.6 0.5 0.0 3.6 5.0 0.032 West Papua 2.4 25.5 17.0 0.4 1.1 18.1 6.1 2.2 0.4 15.1 11.7 0.033 Papua 4.0 17.2 12.9 0.8 2.2 8.0 9.7 6.3 15.5 18.3 4.4 0.7

7.8 13.8 14.2 2.0 14.0 24.7 7.7 7.1 3.3 2.9 2.3 0.2 Source: National Board of Health Research and Development, Ministry of Health Republic of Indonesia, Riskesdas 2010

Annex 2.13PERCENTAGE OF HOUSEHOLDS BY SOURCE OF DRINKING WATER FACILITIES FOR DOMESTIC PURPOSE


No Provinces

Source of Drinking Water Facilities

Pack

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Indonesia

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Poor Good*)(1) (2) (3) (4)1 Aceh 37.1 62.92 North Sumatera 35.6 64.53 West Sumatera 33.7 66.44 Riau 41.8 58.25 Jambi 49.3 50.76 South Sumatera 51.3 48.77 Bengkulu 49.0 51.18 Lampung 53.9 46.19 Bangka Belitung Islands 36.5 63.510 Riau Islands 26.2 73.911 DKI Jakarta 13.0 87.012 West Java 29.6 70.413 Central Java 26.0 74.014 DI Yogyakarta 23.2 76.815 East Java 24.9 75.116 Banten 25.8 74.217 Bali 20.3 79.718 West Nusa Tenggara 34.1 65.919 East Nusa Tenggara 46.2 53.820 West Kalimantan 64.1 35.921 Central Kalimantan 55.8 44.222 South Kalimantan 50.5 49.523 East Kalimantan 36.6 63.424 North Sulawesi 28.1 71.925 Central Sulawesi 38.8 61.226 South Sulawesi 43.2 56.827 Southeast Sulawesi 39.2 60.828 Gorontalo 30.3 69.729 West Sulawesi 37.0 63.030 Maluku 59.4 40.631 North Maluku 43.4 56.632 West Papua 35.5 64.533 Papua 58.7 41.3

32.5 67.5


Indonesia

Annex 2.14PERCENTAGE OF HOUSEHOLDS FOR ACCESS TO QUALITY DRINKING WATER


No Provinces Access to Quality Drinking Water

Difficult in Harddry season throughout the year

(1) (2) (3) (4) (5)1 Aceh 89.0 10.9 0.22 North Sumatera 82.0 17.5 0.53 West Sumatera 88.6 11.1 0.24 Riau 70.7 29.3 0.15 Jambi 74.9 25.0 0.16 South Sumatera 71.5 28.2 0.37 Bengkulu 83.2 16.6 0.28 Lampung 69.7 29.8 0.59 Bangka Belitung Islands 74.7 25.3 0.010 Riau Islands 85.0 14.3 0.711 DKI Jakarta 93.3 6.5 0.212 West Java 81.1 18.6 0.313 Central Java 85.3 14.5 0.214 DI Yogyakarta 85.8 14.2 0.015 East Java 84.9 14.6 0.516 Banten 84.7 15.0 0.317 Bali 86.6 13.1 0.318 West Nusa Tenggara 80.1 18.1 1.819 East Nusa Tenggara 71.5 26.6 1.920 West Kalimantan 57.8 41.8 0.421 Central Kalimantan 78.6 21.3 0.122 South Kalimantan 72.9 26.7 0.323 East Kalimantan 76.8 21.1 2.024 North Sulawesi 87.8 11.8 0.325 Central Sulawesi 90.6 9.3 0.126 South Sulawesi 79.5 20.3 0.227 Southeast Sulawesi 81.9 17.9 0.128 Gorontalo 89.5 10.1 0.329 West Sulawesi 87.3 12.7 0.030 Maluku 80.6 14.5 4.931 North Maluku 76.9 21.6 1.532 West Papua 82.0 17.6 0.433 Papua 58.4 37.7 3.9

81.7 17.8 0.5Source: National Board of Health Research and Development, Ministry of Health Republic of Indonesia, Riskesdas 2010

Indonesia

Annex 2.15PERCENTAGE OF HOUSEHOLDS BY ACCESS TO DRINKING WATER


No ProvincesAccess to Drinking Water

Yes (easy)

< 5 5-19,9 20-49,9 50-99,9 ≥ 100(1) (2) (3) (4) (5) (6) (7)1 Aceh 0.7 10.3 18.8 24.9 45.32 North Sumatera 3.2 18.6 24.7 18.7 34.83 West Sumatera 1.4 9.7 18.1 29.3 41.54 Riau 2.3 6.8 19.8 28.9 42.15 Jambi 1.0 5.6 21.1 41.2 31.06 South Sumatera 4.0 10.8 28.0 34.2 22.97 Bengkulu 1.9 8.6 24.1 34.6 30.78 Lampung 0.4 7.4 21.7 32.6 37.99 Bangka Belitung Islands 3.5 8.9 26.6 33.7 27.310 Riau Islands 0.9 3.3 12.8 40.7 42.211 DKI Jakarta 4.6 15.8 24.0 21.3 34.412 West Java 2.2 8.4 18.5 26.1 44.813 Central Java 1.4 10.0 20.5 29.5 38.614 DI Yogyakarta 0.6 3.1 13.2 31.6 51.515 East Java 3.4 14.1 22.9 23.3 36.416 Banten 2.7 11.8 24.1 23.9 37.417 Bali 0.2 10.3 30.1 34.4 25.018 West Nusa Tenggara 1.4 10.3 20.9 36.2 31.319 East Nusa Tenggara 5.5 36.5 29.5 20.5 7.920 West Kalimantan 3.6 15.5 27.7 26.9 26.321 Central Kalimantan 4.3 7.8 11.9 36.1 39.922 South Kalimantan 2.3 7.6 18.8 40.9 30.423 East Kalimantan 0.3 1.6 14.5 43.7 39.924 North Sulawesi 1.5 11.7 22.3 33.8 30.725 Central Sulawesi 1.3 11.1 26.6 29.2 31.726 South Sulawesi 1.8 15.2 36.4 25.0 21.727 Southeast Sulawesi 0.2 16.7 32.6 28.5 22.028 Gorontalo 3.5 16.5 12.8 30.3 36.929 West Sulawesi 1.0 18.2 21.2 25.3 34.230 Maluku 1.0 10.0 27.5 38.6 22.831 North Maluku 0.3 14.3 44.2 22.5 18.732 West Papua 0.7 14.3 32.4 29.7 22.933 Papua 9.1 23.9 18.8 23.1 25.1

2.4 11.6 22.1 27.3 36.6Source: National Board of Health Research and Development, Ministry of Health Republic of Indonesia, Riskesdas 2010

Indonesia

Annex 2.16PERCENTAGE OF HOUSEHOLDS BY NUMBER OF WATER USAGE (PERSON/DAY)


No Provinces Number of Water Usage (Liter)

Private Shared Public Facilities No Facilities(1) (2) (3) (4) (5) (6)1 Aceh 63.6 5.5 9.9 21.02 North Sumatera 72.0 4.0 5.8 18.23 West Sumatera 57.5 8.2 9.0 25.34 Riau 84.3 6.1 2.4 7.35 Jambi 71.1 8.6 2.2 18.16 South Sumatera 64.3 7.4 4.5 23.87 Bengkulu 74.3 5.0 1.5 19.38 Lampung 79.0 8.2 1.8 11.09 Bangka Belitung Islands 66.3 1.8 3.3 28.7

10 Riau Islands 80.4 7.6 8.0 4.011 DKI Jakarta 77.0 15.8 6.9 0.312 West Java 73.5 7.8 11.1 7.713 Central Java 72.4 7.1 5.0 15.614 DI Yogyakarta 75.5 17.9 2.1 4.515 East Java 69.0 8.3 3.8 18.816 Banten 67.0 6.8 4.3 21.917 Bali 73.0 12.6 1.5 13.018 West Nusa Tenggara 50.5 10.7 5.7 33.119 East Nusa Tenggara 67.0 8.6 2.8 21.620 West Kalimantan 60.1 4.8 1.8 33.321 Central Kalimantan 49.4 12.8 16.8 21.022 South Kalimantan 64.2 13.5 10.9 11.423 East Kalimantan 74.6 5.8 4.1 15.524 North Sulawesi 73.3 10.3 3.9 12.525 Central Sulawesi 49.7 5.9 5.9 38.626 South Sulawesi 67.7 7.9 5.3 19.127 Southeast Sulawesi 61.7 8.5 6.4 23.428 Gorontalo 32.1 9.2 19.6 39.229 West Sulawesi 49.6 4.1 7.2 39.130 Maluku 52.9 8.1 9.9 29.131 North Maluku 49.6 7.8 24.3 18.432 West Papua 51.2 16.4 20.4 12.033 Papua 60.2 17.1 6.3 16.4

69.7 8.3 6.2 15.8Source: National Board of Health Research and Development, Ministry of Health Republic of Indonesia, Riskesdas 2010

Indonesia

Annex 2.17PERCENTAGE OF HOUSEHOLDS WITH TOILET FACILITY


No Provinces Toilet Facilities

Swan Trine Plengsengan' Pit Privy No Facility(1) (2) (3) (4) (5) (6)1 Aceh 80.2 7.6 10.7 1.52 North Sumatera 77.1 7.4 13.3 2.13 West Sumatera 72.2 5.8 17.1 4.94 Riau 64.4 10.8 24.4 0.35 Jambi 71.1 6.5 19.7 2.76 South Sumatera 66.1 4.8 25.9 3.37 Bengkulu 79.5 2.2 16.1 2.28 Lampung 65.0 3.3 30.9 0.89 Bangka Belitung Islands 83.3 15.2 1.0 0.5



Indonesia

Annex 2.18PERCENTAGE OF HOUSEHOLDS BY TYPE OF CLOSET FACILITY


No Provinces Type of Closet Facility

(1) (2) (3) (4) (5) (6) (7) (8) (9)

1 Aceh 62.1 3.2 1.3 14.0 11.7 4.4 3.32 North Sumatera 61.4 3.1 1.7 14.8 10.1 7.0 1.93 West Sumatera 42.4 2.4 14.9 28.7 8.7 1.0 1.94 Riau 59.9 2.1 1.9 9.9 22.8 2.4 1.05 Jambi 54.4 1.5 1.2 26.6 13.6 1.5 1.36 South Sumatera 49.6 1.7 2.4 26.4 16.6 2.2 1.17 Bengkulu 61.2 1.1 0.9 12.7 13.8 8.5 1.88 Lampung 47.7 2.5 4.9 9.4 33.3 1.0 1.29 Bangka Belitung Islands 66.7 2.2 0.2 7.1 2.0 17.1 4.8

10 Riau Islands 74.1 0.9 0.3 13.9 2.3 5.0 3.611 DKI Jakarta 90.6 2.5 0.5 4.0 0.7 0.4 1.412 West Java 56.7 3.8 12.6 19.2 5.0 1.3 1.513 Central Java 62.4 2.6 4.3 16.5 10.9 1.7 1.614 DI Yogyakarta 76.1 6.8 0.8 5.5 9.9 0.4 0.615 East Java 58.0 2.7 1.3 18.4 16.2 2.6 0.916 Banten 67.0 2.4 5.5 9.1 3.2 11.7 1.117 Bali 73.1 1.9 0.3 6.0 9.8 8.8 0.118 West Nusa Tenggara 51.7 3.0 0.9 23.4 8.4 10.3 2.519 East Nusa Tenggara 34.4 1.6 0.2 0.7 42.5 17.3 3.320 West Kalimantan 43.2 1.2 0.9 27.8 16.0 9.7 1.221 Central Kalimantan 37.7 1.2 1.0 47.0 10.0 2.5 0.722 South Kalimantan 50.1 4.1 0.8 31.8 12.2 0.9 0.323 East Kalimantan 71.7 2.1 0.2 15.5 6.9 3.0 0.724 North Sulawesi 68.6 5.3 0.5 11.3 10.2 2.4 1.625 Central Sulawesi 51.1 1.1 0.1 24.1 8.2 11.8 3.626 South Sulawesi 64.6 2.9 2.5 7.5 12.8 7.4 2.327 Southeast Sulawesi 48.5 5.1 2.4 7.9 22.8 12.2 1.128 Gorontalo 49.6 2.1 0.6 22.2 6.0 17.2 2.429 West Sulawesi 33.3 10.9 0.8 22.7 19.1 11.0 2.230 Maluku 61.5 0.3 0.4 9.3 5.7 20.7 2.231 North Maluku 73.2 1.0 0.2 10.7 2.7 11.5 0.632 West Papua 66.1 2.0 1.1 14.8 3.1 11.0 2.033 Papua 43.1 2.1 1.8 10.5 34.0 7.9 0.7

59.3 2.9 4.3 16.4 11.7 4.0 1.5

The End of Feces Disposal

Septic tank Waste Water Disposal Pond/Rice Field River/Lake Hole Beach/Garden Others

IndonesiaSource: National Board of Health Research and Development, Ministry of Health Republic of Indonesia, Riskesdas 2010

Annex 2.19PERCENTAGE OF HOUSEHOLDS BY THE END OF FECES DISPOSAL


No Provinces

(1) (2) (3) (4)

1 Aceh 46.2 53.82 North Sumatera 42.7 57.33 West Sumatera 58.5 41.54 Riau 45.7 54.35 Jambi 48.7 51.36 South Sumatera 52.9 47.17 Bengkulu 42.5 57.58 Lampung 53.3 46.79 Bangka Belitung Islands 45.1 54.9

10 Riau Islands 31.1 68.911 DKI Jakarta 17.3 82.712 West Java 45.7 54.313 Central Java 41.1 58.914 DI Yogyakarta 20.8 79.215 East Java 45.7 54.316 Banten 38.8 61.217 Bali 28.2 71.818 West Nusa Tenggara 57.2 42.819 East Nusa Tenggara 74.8 25.220 West Kalimantan 57.3 42.721 Central Kalimantan 64.1 35.922 South Kalimantan 49.1 50.923 East Kalimantan 34.3 65.724 North Sulawesi 31.9 68.125 Central Sulawesi 54.2 45.826 South Sulawesi 39.2 60.827 Southeast Sulawesi 54.4 45.628 Gorontalo 64.7 35.329 West Sulawesi 64.4 35.630 Maluku 49.0 51.031 North Maluku 49.4 50.632 West Papua 52.0 48.033 Papua 60.9 39.1

44.5 55.5 Source: National Board of Health Research and Development, Ministry of Health Republic of Indonesia, Riskesdas 2010

Indonesia

Annex 2.20PERCENTAGE OF HOUSEHOLDS BY ACCESS TO PROPER OF WASTE DISPOSAL IN ACCORDANCE MDGs


No Provinces No Access Access

(1) (2) (3) (4) (5) (6)

1 Aceh 49.9 10.7 17.2 22.22 North Sumatera 55.1 4.5 20.5 19.93 West Sumatera 39.8 3.1 28.2 28.94 Riau 51.5 3.3 37.6 7.65 Jambi 48.7 3.2 27.8 20.36 South Sumatera 43.9 3.8 25.9 26.37 Bengkulu 54.2 4.1 20.6 21.08 Lampung 42.1 5.6 40.6 11.79 Bangka Belitung Islands 53.8 4.1 13.0 29.0


51.1 6.7 25.0 17.2

Shared**)


Unimproved***) Open Defecation****)

Indonesia

Annex 2.21PERCENTAGE OF HOUSEHOLDS BY WAY OF DEFECATION IN ACCORDANCE WITH JMP WHO-UNICEF 2008


No Provinces Improved*)

Number of Examinated Houses Number of Healthy Houses(1) (2) (3) (4)

1 Aceh 70.3 29.82 North Sumatera 62.7 37.43 West Sumatera 74.0 26.04 Riau 58.9 41.15 Jambi 77.8 22.26 South Sumatera 71.4 28.67 Bengkulu 68.3 31.78 Lampung 85.9 14.19 Bangka Belitung Islands 65.5 34.510 Riau Islands 57.3 42.711 DKI Jakarta 66.8 33.212 West Java 75.6 24.413 Central Java 81.3 18.814 DI Yogyakarta 73.0 27.015 East Java 75.4 24.616 Banten 77.6 22.417 Bali 67.4 32.618 West Nusa Tenggara 82.9 17.119 East Nusa Tenggara 92.5 7.520 West Kalimantan 71.9 28.121 Central Kalimantan 76.5 23.522 South Kalimantan 71.9 28.123 East Kalimantan 56.4 43.624 North Sulawesi 64.0 36.025 Central Sulawesi 83.8 16.226 South Sulawesi 82.5 17.627 Southeast Sulawesi 80.8 19.228 Gorontalo 74.2 25.829 West Sulawesi 82.1 17.930 Maluku 83.3 16.731 North Maluku 78.3 21.732 West Papua 66.2 33.833 Papua 76.0 24.0

75.1 24.9Source: National Board of Health Research and Development, Ministry of Health Republic of Indonesia, Riskesdas 2010

Indonesia

Annex 2.22PERCENTAGE OF HOUSEHOLDS BY HEALTHY HOUSES CRITERIA


No ProvincesHealthy Houses Criteria

Every Day Sometimes Ex Smokers Non Smokers(1) (2) (3) (4) (5) (6)

1 Aceh 31.9 5.2 3.5 59.42 North Sumatera 30.0 6.0 3.4 60.93 West Sumatera 33.1 5.3 7.0 54.64 Riau 30.3 6.0 4.1 59.65 Jambi 32.7 5.4 5.5 56.46 South Sumatera 29.9 6.6 3.3 60.27 Bengkulu 33.0 4.8 3.6 58.78 Lampung 31.4 6.6 4.0 57.99 Bangka Belitung Islands 31.2 4.1 6.0 58.810 Riau Islands 33.4 5.5 8.2 52.811 DKI Jakarta 23.9 6.9 8.2 61.012 West Java 30.9 6.8 5.9 56.413 Central Java 25.3 7.3 5.2 62.214 DI Yogyakarta 25.3 6.3 10.4 58.115 East Java 25.1 6.3 4.4 64.216 Banten 29.6 6.7 7.1 56.717 Bali 25.1 5.9 4.8 64.218 West Nusa Tenggara 30.5 5.0 3.2 61.319 East Nusa Tenggara 33.0 8.2 3.0 55.820 West Kalimantan 29.3 5.0 5.0 60.721 Central Kalimantan 36.0 7.1 5.7 51.122 South Kalimantan 25.3 5.2 6.9 62.523 East Kalimantan 28.4 6.4 7.8 57.024 North Sulawesi 29.1 7.1 10.3 53.525 Central Sulawesi 30.7 7.5 5.8 56.026 South Sulawesi 26.1 5.5 7.0 61.427 Southeast Sulawesi 22.0 6.3 3.3 68.428 Gorontalo 32.7 6.0 5.4 55.929 West Sulawesi 27.6 8.0 5.3 59.130 Maluku 26.2 10.5 3.9 59.431 North Maluku 31.8 8.9 5.6 53.632 West Papua 28.9 9.6 3.5 58.033 Papua 28.4 8.7 5.5 57.3


Indonesia

Annex 2.23PREVALENCE OF POPULATION 15 YEARS OF AGE AND OVER, SMOKING AND NOT SMOKING


No ProvincesSmoking No Smoking

5-9 10-14 15-19 20-24 25-29 ≥30(1) (2) (3) (4) (5) (6) (7) (8)

1 Aceh 1.3 20.6 43.8 13.0 3.5 3.52 North Sumatera 0.8 15.5 43.1 11.0 2.8 4.43 West Sumatera 3.8 27.7 42.1 11.9 3.1 4.04 Riau 0.8 14.2 49.5 13.4 3.7 2.65 Jambi 0.9 18.8 41.6 14.8 4.7 2.56 South Sumatera 1.9 18.1 47.7 13.8 2.9 2.07 Bengkulu 1.3 22.4 40.5 13.0 2.5 2.28 Lampung 1.7 20.4 43.8 9.8 3.7 2.49 Bangka Belitung Islands 5.1 22.3 47.1 14.5 3.3 2.8

10 Riau Islands 2.0 19.8 47.2 17.5 4.1 3.911 DKI Jakarta 2.2 21.4 46.7 15.3 4.8 3.112 West Java 1.2 15.3 44.6 16.2 4.6 4.913 Central Java 1.8 16.8 41.9 15.1 5.2 4.214 DI Yogyakarta 4.4 19.5 38.7 15.3 5.6 6.215 East Java 2.2 17.4 41.8 16.1 5.3 3.716 Banten 1.6 19.2 46.7 12.6 3.1 2.317 Bali 0.5 10.3 40.8 16.8 4.7 8.318 West Nusa Tenggara 1.8 19.4 48.2 12.5 3.1 3.019 East Nusa Tenggara 0.9 12.6 35.5 15.8 5.3 4.720 West Kalimantan 1.3 15.2 44.6 12.5 3.8 3.221 Central Kalimantan 1.8 17.5 42.0 16.2 4.6 5.522 South Kalimantan 2.7 20.6 43.6 15.3 4.4 4.623 East Kalimantan 2.1 22.7 42.5 16.6 4.4 3.424 North Sulawesi 1.1 16.6 44.7 15.0 3.1 3.225 Central Sulawesi 1.6 17.4 41.5 12.6 3.5 2.726 South Sulawesi 2.1 21.7 41.1 13.4 3.9 3.427 Southeast Sulawesi 1.3 12.0 36.7 10.7 2.9 2.528 Gorontalo 2.4 19.4 43.2 11.8 3.6 4.629 West Sulawesi 1.3 13.0 32.9 10.9 2.8 3.930 Maluku 1.3 13.7 45.0 12.3 5.2 3.631 North Maluku 1.1 16.0 51.9 16.0 5.0 4.832 West Papua 1.5 15.8 40.2 13.6 4.4 3.633 Papua 1.4 18.0 31.3 11.0 3.3 3.6

1.7 17.5 43.3 14.6 4.3 3.9Source: National Board of Health Research and Development, Ministry of Health Republic of Indonesia, Riskesdas 2010

Indonesia

Annex 2.24

No ProvincesFirst Smoking or Chewing Tobacco (Years)

PREVALENCE OF SMOKERS 15 YEARS OF AGE AND OVER BY FIRST SMOKING OR CHEWING TOBACCOBY PROVINCE , RISKESDAS 2010

(1) (2) (3) (4)

1 Aceh 82.4 17.62 North Sumatera 78.7 21.33 West Sumatera 83.1 16.94 Riau 79.8 20.25 Jambi 80.0 20.06 South Sumatera 80.3 19.77 Bengkulu 76.3 23.78 Lampung 86.8 13.29 Bangka Belitung Islands 87.8 12.210 Riau Islands 51.9 48.111 DKI Jakarta 15.7 84.312 West Java 67.3 32.713 Central Java 74.4 25.614 DI Yogyakarta 55.7 44.315 East Java 71.7 28.316 Banten 66.5 33.517 Bali 59.4 40.618 West Nusa Tenggara 81.0 19.019 East Nusa Tenggara 88.3 11.720 West Kalimantan 89.5 10.521 Central Kalimantan 82.3 17.722 South Kalimantan 76.3 23.723 East Kalimantan 52.8 47.224 North Sulawesi 73.1 26.925 Central Sulawesi 87.1 12.926 South Sulawesi 75.4 24.627 Southeast Sulawesi 79.5 20.528 Gorontalo 94.0 6.029 West Sulawesi 84.8 15.230 Maluku 73.6 26.431 North Maluku 86.3 13.732 West Papua 76.3 23.733 Papua 84.9 15.1

71.3 28.7 Source: National Board of Health Research and Development, Ministry of Health Republic of Indonesia, Riskesdas 2010

Indonesia

Annex 2.25PERCENTAGE OF HOUSEHOLDS BY WASTE HANDLING CRITERIA


No ProvincesWaste Handling Criteria

Poor Good

Not Answered/ AverageForget (Years Old)

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

1 Aceh 2.3 36.9 35.6 15.1 2.5 1.2 6.4 20.7

2 North Sumatera 1.4 28.5 44.2 17.0 2.7 0.9 5.3 21.5

3 West Sumatera 2.1 34.1 43.0 16.3 3.0 0.6 0.9 21.0

4 Riau 2.9 36.4 40.3 13.8 1.6 0.7 4.4 20.5

5 Jambi 6.3 44.6 31.1 10.7 1.1 0.8 5.5 19.4

6 South Sumatera 4.8 43.7 33.9 9.5 1.9 0.9 5.2 19.8

7 Bengkulu 6.3 45.9 33.0 9.7 1.3 0.4 3.3 19.3

8 Lampung 3.2 44.3 36.1 10.6 0.9 0.3 4.6 19.6

9 Bangka Belitung Islands 2.8 47.9 35.3 9.4 0.9 1.3 2.4 20.0

10 Riau Islands 2.6 29.9 40.1 20.1 3.2 0.9 3.2 22.2

11 DKI Jakarta 3.2 29.3 39.5 21.8 3.9 0.9 1.3 21.7

12 West Java 7.5 50.2 29.1 8.3 1.1 0.3 3.6 19.2

13 Central Java 4.4 43.6 34.5 10.5 2.0 0.7 4.4 20.0

14 DI Yogyakarta 1.6 29.6 42.8 18.4 4.0 1.3 2.3 21.9

15 East Java 6.1 44.5 31.9 9.2 1.6 0.4 6.2 19.6

16 Banten 6.5 45.7 29.9 8.8 1.2 0.2 7.7 19.6

17 Bali 0.6 30.6 39.6 17.0 2.6 0.4 9.0 21.5

18 West Nusa Tenggara 2.3 41.6 35.2 10.2 2.1 1.0 7.7 20.1

19 East Nusa Tenggara 0.9 23.6 35.3 20.0 5.0 1.2 14.1 22.3

20 West Kalimantan 3.6 44.2 34.0 7.4 1.1 1.0 8.8 19.6

21 Central Kalimantan 7.0 52.1 27.3 9.6 1.0 0.6 2.3 19.0

22 South Kalimantan 9.0 48.4 28.4 7.9 1.5 0.9 4.0 19.0

23 East Kalimantan 7.1 42.4 31.9 11.9 1.6 0.4 4.7 19.8

24 North Sulawesi 0.9 33.8 42.2 15.6 3.9 0.7 2.8 21.4

25 Central Sulawesi 4.1 46.3 27.0 11.4 1.6 0.4 9.2 19.6

26 South Sulawesi 4.3 38.0 30.3 13.3 3.1 1.7 9.3 20.5

27 Southeast Sulawesi 3.4 43.5 25.3 9.9 1.2 0.5 16.1 19.6

28 Gorontalo 2.6 39.7 36.1 12.8 1.5 1.7 5.6 20.3

29 West Sulawesi 4.3 36.0 23.6 11.3 1.9 0.2 22.8 19.8

30 Maluku 2.4 28.3 39.3 18.4 2.8 1.6 7.2 21.6

31 North Maluku 3.1 43.0 31.9 13.2 2.3 0.4 6.1 20.0

32 West Papua 2.5 26.5 36.1 12.3 2.1 0.4 20.0 20.9

33 Papua 4.6 35.0 25.3 12.0 1.5 0.7 21.0 19.9

4.8 41.9 33.6 11.5 1.9 0.6 5.7 20.0

Age 20-24 Age 25-29 Age 30-34 Age 35 +


Annex 2.26PERCENTAGE OF WOMEN AGED 10-59 YEARS BY AGE IN FIRST MARRIAGE


No ProvincesWomen's Age in First Marriage (%)

Age 10-14 Age 15-19

Not yet/Do Not Have Children

(1) (2) (3) (4) (5) (6) (7)

1 Aceh 2.6 46.4 32.6 13.0 5.5

2 North Sumatera 2.7 39.9 36.1 14.7 6.6

3 West Sumatera 2.5 41.5 35.5 14.9 5.6

4 Riau 1.4 50.4 34.1 9.9 4.2

5 Jambi 2.1 52.2 31.8 10.0 3.8

6 South Sumatera 2.2 52.3 32.9 8.8 3.8

7 Bengkulu 2.5 51.4 31.3 11.9 2.8

8 Lampung 2.2 54.4 31.5 8.6 3.2

9 Bangka Belitung Islands 2.1 57.8 26.9 8.9 4.3

10 Riau Islands 2.5 61.0 28.8 6.1 1.7

11 DKI Jakarta 2.3 59.9 29.0 6.2 2.6

12 West Java 2.2 56.4 29.9 8.1 3.3

13 Central Java 2.2 59.1 29.7 6.7 2.3

14 DI Yogyakarta 2.6 67.7 25.9 3.3 0.5

15 East Java 1.5 68.1 25.1 4.2 1.1

16 Banten 2.5 52.1 28.3 10.4 6.7

17 Bali 1.6 62.5 30.0 4.8 1.0

18 West Nusa Tenggara 2.5 53.6 28.9 10.8 4.3

19 East Nusa Tenggara 2.2 35.6 34.9 20.4 6.9

20 West Kalimantan 2.0 55.3 31.1 8.6 3.0

21 Central Kalimantan 2.0 55.8 28.5 10.2 3.4

22 South Kalimantan 3.7 55.6 26.5 9.3 4.9

23 East Kalimantan 2.5 56.9 30.3 7.7 2.6

24 North Sulawesi 2.6 65.8 26.4 4.3 0.9

25 Central Sulawesi 3.3 45.7 34.4 12.2 4.4

26 South Sulawesi 3.2 42.8 33.9 13.8 6.2

27 Southeast Sulawesi 1.8 44.8 36.2 12.5 4.7

28 Gorontalo 3.7 50.7 32.4 9.5 3.6

29 West Sulawesi 1.5 45.8 32.4 15.8 4.4

30 Maluku 2.3 44.0 32.1 14.3 7.3

31 North Maluku 2.8 41.4 35.4 13.8 6.7

32 West Papua 2.8 47.7 29.0 13.1 7.5

33 Papua 2.7 50.0 29.2 12.4 5.6

2.2 56.1 29.9 8.4 3.4

5-6 Children 7 + Children

BY NUMBER OF CHILDREN BIRTH AND PROVINCE IN INDONESIA, RISKESDAS 2010

Annex 2.27


PERCENTAGE OF MARRIAGE WOMEN AGE 10 - 59 YEARS

No Provinces 1-2 Children 3-4 Children

Annex 3.1

(1) (2)

1 Aceh 25 45 68.602 North Sumatera 46 67 69.353 West Sumatera 47 62 69.254 Riau 37 47 71.255 Jambi 39 47 68.956 South Sumatera 42 52 69.407 Bengkulu 46 65 69.658 Lampung 43 55 69.259 Bangka Belitung Islands 39 46 68.7510 Riau Islands 43 58 69.7511 DKI Jakarta 28 36 73.0512 West Java 39 49 68.0013 Central Java 26 32 71.2514 DI Yogyakarta 19 22 73.1615 East Java 35 45 69.3516 Banten 46 58 64.7517 Bali 34 38 70.6718 West Nusa Tenggara 72 92 61.8019 East Nusa Tenggara 57 80 67.2520 West Kalimantan 46 59 66.4521 Central Kalimantan 30 34 71.1022 South Kalimantan 58 75 63.4523 East Kalimantan 26 38 71.0024 North Sulawesi 35 43 72.1225 Central Sulawesi 60 69 66.3526 South Sulawesi 41 53 69.8027 Southeast Sulawesi 41 62 67.6028 Gorontalo 52 69 66.5029 West Sulawesi 74 96 67.6030 Maluku 59 93 67.2031 North Maluku 51 74 65.7032 West Papua 41 62 68.2033 Papua 36 64 68.35

34 44 69.21Source: Indonesia Demography Health Survey 2007, Statistics Indonesia,

* : Five years period before surveyLife Expectancy Rate :Statistics Indonesia-Statistic Indonesia, Human Development Index 2009

2009(5)

ESTIMATION OF INFANT MORTALITY RATE, UNDERFIVE MORTALITY RATE (UMR) IN 2007 AND LIFE EXPECTANCY RATE IN 2009 BY PROVINCE

No ProvincesE s t i m a t i o n

*Infant Mortality Rate *Underfive Mortality Rate Life Expectancy Rate

Indonesia

(3) (4)(IMR) (UMR)

Annex 3.2

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

1 Aceh 68.50 8,50 96,20 605,56 70,76 17 68.60 8.63 96.39 610.27 71.31 17 1.90

2 North Sumatera 69.20 8,60 97,08 629,97 73,29 8 69.35 8.65 97.15 634.73 73.80 8 1.89

3 West Sumatera 69.00 8,26 96,66 631,52 72,96 9 69.25 8.45 96.81 633.72 73.44 9 1.78

4 Riau 71.10 8,51 97,81 638,31 75,09 3 71.25 8.56 98.11 642.55 75.60 3 2.06

5 Jambi 68.80 7,63 96,05 628,25 71,99 13 68.95 7.68 96.06 632.60 72.45 13 1.64

6 South Sumatera 69.20 7,60 97,05 623,49 72,05 12 69.40 7.66 97.21 628.30 72.61 10 2.01

7 Bengkulu 69.40 8,00 94,87 625,66 72,14 11 69.65 8.23 94.90 626.82 72.55 12 1.46

8 Lampung 69.00 7,30 93,63 615,03 70,30 20 69.25 7.49 94.37 617.42 70.93 21 2.12

9 Bangka Belitung Islands 68.60 7,37 95,57 636,07 72,19 10 68.75 7.41 95.63 639.10 72.55 11 1.30

10 Riau Islands 69.70 8,94 96,00 637,67 74,18 6 69.75 8.96 96.08 641.63 74.54 6 1.42

11 DKI Jakarta 72.90 10,80 98,76 625,70 77,03 1 73.05 10.90 98.94 627.46 77.36 1 1.45

12 West Java 67.80 7,50 95,53 626,81 71,12 15 68.00 7.72 95.98 628.71 71.64 15 1.80

13 Central Java 71.10 6,86 89,24 633,59 71,60 14 71.25 7.07 89.46 636.39 72.10 14 1.77

14 DI Yogyakarta 73.11 8,71 89,46 643,25 74,88 4 73.16 8.78 90.18 644.67 75.23 4 1.39

15 East Java 69.10 6,95 87,43 636,61 70,38 18 69.35 7.20 87.80 640.12 71.06 18 2.29

16 Banten 64.60 8,10 95,60 625,52 69,70 23 64.75 8.15 95.95 627.63 70.06 23 1.19

17 Bali 70.61 7,81 86,94 626,63 70,98 16 70.67 7.83 87.22 632.15 71.52 16 1.84

18 West Nusa Tenggara 61.50 6,70 80,13 633,58 64,12 32 61.80 6.73 80.18 637.98 64.66 32 1.50

19 East Nusa Tenggara 67.00 6,55 87,66 599,93 66,15 31 67.25 6.60 87.96 602.60 66.60 31 1.32

20 West Kalimantan 66.30 6,70 89,40 624,74 68,17 29 66.45 6.75 89.70 630.34 68.79 28 1.94

21 Central Kalimantan 71.00 8,00 97,67 628,64 73,88 7 71.10 8.02 97.69 633.91 74.36 7 1.84

22 South Kalimantan 63.10 7,44 95,30 630,83 68,72 26 63.45 7.54 95.41 634.59 69.30 26 1.86

23 East Kalimantan 70.80 8,80 96,36 634,52 74,52 5 71.00 8.85 96.89 638.73 75.11 5 2.32

24 North Sulawesi 72.01 8,80 99,31 625,58 75,16 2 72.12 8.82 99.41 631.00 75.68 2 2.07

25 Central Sulawesi 66.10 7,81 95,68 622,35 70,09 22 66.35 7.89 95.78 627.40 70.70 22 2.04

26 South Sulawesi 69.60 7,23 86,53 630,81 70,22 21 69.80 7.41 87.02 635.48 70.94 20 2.39

27 Southeast Sulawesi 67.40 7,74 91,42 611,72 69,00 25 67.60 7.90 91.51 615.29 69.52 25 1.69

28 Gorontalo 66.20 6,91 95,75 619,70 69,29 24 66.50 7.18 95.77 621.31 69.79 24 1.62

29 West Sulawesi 67.40 6,99 87,31 625,04 68,55 27 67.60 7.05 87.59 630.32 69.18 27 1.99

30 Maluku 67.00 8,60 98,12 605,02 70,38 18 67.20 8.63 98.13 610.73 70.96 19 1.94

31 North Maluku 65.40 8,60 95,44 595,69 68,18 28 65.70 8.61 95.74 598.45 68.63 29 1.43

32 West Papua 67.90 7,67 92,15 593,13 67,95 30 68.20 8.01 92.34 595.28 68.58 30 1.95

33 Papua 68.10 6,52 75,41 599,65 64,00 33 68.35 6.57 75.58 603.88 64.53 33 1.49

69.00 7,52 92,19 628,33 71,17 69.21 7.72 92.58 631.46 71.76 2.06 Source : Human Development Index 2008-2009, BPS-Statistics IndonesiaNote : Reduction of Short Fall is an escalation of human development to achieve proper HDI

Indonesia

No. Provinces

2008

Life Expectancy Rate

Average of School Duration

(Year)Literacy Rate (%) Real Expenditure

/ Capita (Rp.000) HDI Rank

HUMAN DEVELOPMENT INDEX AND COMPONENT BY PROVINCE, 2008- 2009

2009 Reduction of Short

FallLife Expectancy

Rate

Average of School Duration

(Year)Literacy Rate (%) Real Expenditure

/ Capita (Rp.000) HDI Rank

Annex 3.3

Males Females Males (%) Females (%)

(1) (2) (3) (4) (5) (6) (7) (8) (9)

1 Diarrhea & gastroenteritis caused by certain infection (colitic infection) 37,281 34,608 51.86 48.14 71,889 1,289 1.79

2 Dengue Haemorrhagic Fever 30,232 28,883 51.14 48.86 59,115 325 0.55

3 Typhoid Fever and Paratyphoid 19,706 21,375 47.97 52.03 41,081 274 0.67

4 Obstacle of pregnancy and delivery 0 40,636 0.00 100.00 40,636 276 0.68

5 Dispeptia 9,594 15,122 38.82 61.18 24,716 166 0.67

6 Other injuries and multiple area 14,405 7,328 66.28 33.72 21,733 605 2.78

7 Essential Hypertention (primary) 8,423 11,451 42.38 57.62 19,874 955 4.81

8 Intracranial Injury 12,010 7,371 61.97 38.03 19,381 1,025 5.29

9 Other upper acute respiratory infections 9,737 8,181 54.34 45.66 17,918 589 3.29

10 Pneumonie 9,340 7,971 53.95 46.05 17,311 1,315 7.60

Source: DG of Health Effort , MoH RI, 2011

10 MAIN DISEASES OF HOSPITAL INPATIENTS IN 2010

No Cause of Diseases Based on Basic Tabulation List

CasesReleased Patient CFR (%)

Cases Proportion

Deaths

Annex 3.4

Males Females

(1) (2) (3) (4) (5) (6)

1 Other upper acute respiratory infections 147,410 143,946 291,356 433,354

2 Other injuries and multiple area 77,337 49,739 127,076 168,768

3 Disease of skin and other subcutaneous 48,576 73,500 122,076 192,414

4 Refraction and acomodation disorder 42,349 69,164 111,513 143,404

5 Diarrhea & gastroenteritis caused by certain infection (colitic infection) 53,389 51,890 105,279 141,556

6 Dispeptia 34,981 53,618 88,599 163,428

7 Disease of pulp and periapical 39,427 46,994 86,421 163,211

8 Essential hypertention (primary) 35,462 45,153 80,615 277,846

9 Conjungtivitis and other conjungtiva disorders 30,250 37,776 68,026 87,513

10 Disease of ear and prosesus mastoid 30,583 30,855 61,438 99,663

Source: DG of Health Effort , MoH RI, 2011

10 MAIN DISEASES OF HOSPITAL OUTPATIENTS IN 2010

No Cause of Diseases Based on Basic Tabulation List

Cases

New Cases Visits

Annex 3.5

(1) (2) (3) (4) (5) (6) (7)1 Aceh 7.1 16.6 72.1 4.2 100 2 North Sumatera 7.8 13.5 71.1 7.5 100 3 West Sumatera 2.8 14.4 81.3 1.6 100 4 Riau 4.8 11.4 75.2 8.6 100 5 Jambi 5.4 14.3 76.3 4.1 100 6 South Sumatera 5.5 14.4 74.5 5.6 100 7 Bengkulu 4.3 11.0 73.7 10.9 100 8 Lampung 3.5 10.0 79.8 6.8 100 9 Bangka Belitung Islands 3.2 11.7 80.6 4.5 100

10 Riau Islands 4.3 9.8 81.3 4.6 100 11 DKI Jakarta 2.6 8.7 77.7 11.1 100 12 West Java 3.1 9.9 81.6 5.4 100 13 Central Java 3.3 12.4 78.1 6.2 100 14 DI Yogyakarta 1.4 9.9 81.5 7.3 100 15 East Java 4.8 12.3 75.3 7.6 100 16 Banten 4.8 13.7 77.5 4.0 100 17 Bali 1.7 9.2 81.0 8.0 100 18 West Nusa Tenggara 10.6 19.9 66.9 2.6 100 19 East Nusa Tenggara 9.0 20.4 67.5 3.1 100 20 West Kalimantan 9.5 19.7 67.0 3.9 100 21 Central Kalimantan 5.3 22.3 69.4 2.9 100 22 South Kalimantan 6.0 16.8 73.1 4.0 100 23 East Kalimantan 4.4 12.7 75.9 7.0 100 24 North Sulawesi 3.8 6.8 84.3 5.1 100 25 Central Sulawesi 7.9 18.6 69.1 4.4 100 26 South Sulawesi 6.4 18.6 72.2 2.8 100 27 Southeast Sulawesi 6.5 16.3 66.9 10.2 100 28 Gorontalo 11.2 15.3 69.4 4.1 100 29 West Sulawesi 7.6 12.9 74.9 4.7 100 30 Maluku 8.4 17.8 70.5 3.4 100 31 North Maluku 5.7 17.9 73.2 3.2 100 32 West Papua 9.1 17.4 67.3 6.2 100 33 Papua 6.3 10.0 78.4 5.3 100

4.9 13.0 76.2 5.8 100 Source: Riskesdas 2010, National Institute for Health Research and Development, MoH RI

Indonesia

PREVALENCE OF UNDERFIVE NUTRITIONAL STATUS BASED ON WEIGHT PER AGE

No. ProvincesNutritional Status by Weight per Age

Severe Mal Nutrition (%)

Under Weight (%) Normal (%) Over Weight (%) Total (%)

BY PROVINCE IN 2010

Annex 3.6

(1) (2) (3) (4) (5) (6)1 Aceh 24.2 14.8 61.1 100 2 North Sumatera 23.4 18.9 57.7 100 3 West Sumatera 14.3 18.4 67.2 100 4 Riau 19.6 12.5 67.8 100 5 Jambi 15.4 14.8 69.8 100 6 South Sumatera 23.1 17.3 59.6 100 7 Bengkulu 18.3 13.3 68.4 100 8 Lampung 20.6 15.6 63.7 100 9 Bangka Belitung Islands 12.5 16.6 71.0 100 10 Riau Islands 11.4 15.5 73.1 100 11 DKI Jakarta 14.3 12.3 73.4 100 12 West Java 16.6 17.1 66.4 100 13 Central Java 16.9 17.0 66.1 100 14 DI Yogyakarta 10.2 12.3 77.5 100 15 East Java 20.9 14.9 64.1 100 16 Banten 16.5 17.0 66.5 100 17 Bali 14.0 15.3 70.7 100 18 West Nusa Tenggara 27.8 20.5 51.8 100 19 East Nusa Tenggara 30.9 27.5 41.6 100 20 West Kalimantan 20.7 19.0 60.3 100 21 Central Kalimantan 18.0 21.6 60.4 100 22 South Kalimantan 15.9 19.4 64.7 100 23 East Kalimantan 14.4 14.7 70.9 100 24 North Sulawesi 12.7 15.1 72.2 100 25 Central Sulawesi 16.0 20.1 63.8 100 26 South Sulawesi 15.8 23.1 61.1 100 27 Southeast Sulawesi 20.8 17.0 62.2 100 28 Gorontalo 21.6 18.7 59.7 100 29 West Sulawesi 21.6 20.0 58.4 100 30 Maluku 16.5 21.0 62.5 100 31 North Maluku 14.4 15.0 70.6 100 32 West Papua 28.6 20.6 50.8 100 33 Papua 13.3 15.0 71.7 100

18.5 17.1 64.4 100 Source: Riskesdas 2010, National Institute for Health Research and Development, MoH RI

Indonesia

PREVALENCE OF UNDERFIVE NUTRITIONAL STATUS BASED ON HEIGHT PER AGE

No. ProvincesNutritional Status by Height per Age

Severe Stunted (%)

Stunted (%) Normal (%) Total (%)

BY PROVINCE IN 2010

Annex 3.7

(1) (2) (3) (4) (5) (6) (7)1 Aceh 6.3 7.9 69.6 16.2 100 2 North Sumatera 5.6 8.4 67.6 18.3 100 3 West Sumatera 4.0 4.2 83.5 8.3 100 4 Riau 9.2 8.0 66.8 16.0 100 5 Jambi 11.3 8.7 70.4 9.6 100 6 South Sumatera 7.3 7.3 68.7 16.8 100 7 Bengkulu 9.7 8.1 66.7 15.5 100 8 Lampung 5.4 8.5 69.6 16.4 100 9 Bangka Belitung Islands 1.7 5.8 82.8 9.6 100

10 Riau Islands 2.0 6.0 81.4 10.6 100 11 DKI Jakarta 4.4 6.9 69.1 19.6 100 12 West Java 4.6 6.4 74.4 14.6 100 13 Central Java 6.4 7.8 71.8 14.0 100 14 DI Yogyakarta 2.6 6.5 77.3 13.6 100 15 East Java 7.3 6.8 68.8 17.1 100 16 Banten 6.2 7.9 74.2 11.7 100 17 Bali 5.2 7.9 69.4 17.5 100 18 West Nusa Tenggara 5.9 8.0 73.5 12.5 100 19 East Nusa Tenggara 6.8 6.4 74.8 11.9 100 20 West Kalimantan 7.6 9.1 72.5 10.8 100 21 Central Kalimantan 6.0 9.6 75.4 9.0 100 22 South Kalimantan 8.4 7.2 74.6 9.8 100 23 East Kalimantan 5.8 7.1 77.6 9.6 100 24 North Sulawesi 2.6 6.7 82.3 8.5 100 25 Central Sulawesi 8.4 6.4 75.1 10.2 100 26 South Sulawesi 4.8 7.2 81.1 6.9 100 27 Southeast Sulawesi 6.2 9.6 66.1 18.1 100 28 Gorontalo 4.1 7.7 80.4 7.8 100 29 West Sulawesi 6.1 10.6 71.5 11.8 100 30 Maluku 6.3 6.9 78.5 8.2 100 31 North Maluku 6.4 11.3 77.2 5.0 100 32 West Papua 6.0 5.5 73.8 14.8 100 33 Papua 8.2 5.7 75.5 10.7 100

6.0 7.3 72.8 14.0 100 Source: Riskesdas 2010, National Institute for Health Research and Development, MoH RI

PREVALENCE OF UNDERFIVE NUTRITIONAL STATUS BASED ON WEIGHT PER HEIGHT

No. ProvincesNutritional Status by Weight per Height

BY PROVINCE IN 2010

Severe Wasted (%)

Wasted (%) Normal (%) Obese (%) Total (%)

Indonesia

Annex 3.8

(1) (2) (3) (4) (5) (6) (7) (8) (9)1 Aceh 3.1 26.1 9.2 11.2 47.2 3.2 100 2 North Sumatera 3.1 28.3 10.2 11.2 41.4 5.9 100 3 West Sumatera 1.2 25.6 5.7 6.9 59.2 1.4 100 4 Riau 1.7 20.7 7.7 15.6 46.9 7.3 100 5 Jambi 3.1 22.2 4.3 16.8 49.6 4.1 100 6 South Sumatera 2.0 27.2 10.3 12.8 43.9 3.8 100 7 Bengkulu 1.2 20.8 7.7 16.2 48.1 6.0 100 8 Lampung 1.6 24.2 8.7 12.4 47.4 5.7 100 9 Bangka Belitung Islands 2.3 22.7 4.2 5.1 61.0 4.9 100 10 Riau Islands 2.1 17.9 4.9 6.0 64.3 4.8 100 11 DKI Jakarta 0.4 15.8 8.4 10.8 54.5 10.1 100 12 West Java 1.4 23.4 8.4 9.4 52.7 4.8 100 13 Central Java 1.3 23.9 7.8 12.5 49.4 5.1 100 14 DI Yogyakarta 0.4 16.3 5.2 8.8 61.3 8.0 100 15 East Java 1.6 24.2 9.7 12.4 46.4 5.7 100 16 Banten 2.3 24.9 6.5 11.9 50.6 3.8 100 17 Bali 0.9 18.7 8.6 12.6 51.9 7.3 100 18 West Nusa Tenggara 5.3 36.4 6.8 9.0 40.1 2.5 100 19 East Nusa Tenggara 4.9 44.3 9.7 8.3 31.9 1.0 100 20 West Kalimantan 5.3 28.9 4.6 11.9 44.4 5.0 100 21 Central Kalimantan 3.9 31.1 4.6 11.7 45.1 3.6 100 22 South Kalimantan 2.5 26.6 4.9 12.5 49.3 4.2 100 23 East Kalimantan 2.1 22.7 3.2 10.8 55.4 5.7 100 24 North Sulawesi 2.2 21.2 3.9 6.8 62.5 3.5 100 25 Central Sulawesi 4.3 25.8 5.0 10.4 51.9 2.7 100 26 South Sulawesi 2.6 32.8 3.9 9.3 49.2 2.1 100 27 Southeast Sulawesi 3.7 25.6 7.2 13.4 44.0 6.1 100 28 Gorontalo 4.5 31.5 4.7 7.0 49.6 2.9 100 29 West Sulawesi 4.2 29.8 6.3 13.1 42.9 3.6 100 30 Maluku 4.0 28.4 5.4 9.4 50.8 2.0 100 31 North Maluku 1.9 25.3 2.3 15.8 52.3 2.4 100 32 West Papua 2.6 37.1 9.2 8.6 38.5 4.1 100 33 Papua 2.3 22.1 4.6 11.4 54.5 5.1 100

2.1 25.3 7.6 11.1 49.1 4.8 100 Source: Riskesdas 2010, National Institute for Health Research and Development, MoH RI

Normal-Obese (%)

Total (%)

Indonesia

BY PROVINCE IN 2010PREVALENCE OF UNDERFIVE NUTRITIONAL STATUS BASED ON HEIGHT PER AGE AND WEIGHT PER HEIGHT

No. ProvincesNutritional Status by Height per Age and Weight per Height

Stunted-Wasted (%)

Stunted-Normal (%)

Stunted-Obese (%)

Normal-Wasted (%)

Normal-Normal (%)

Annex 3.9

(1) (2) (3) (4) (5) (6)1 Aceh 11.1 64.5 10.9 13.4 2 North Sumatera 8.7 65.9 11.9 13.5 3 West Sumatera 14.1 64.1 9.4 12.5 4 Riau 9.2 69.4 11.1 10.3 5 Jambi 11.6 65.9 11.3 11.2 6 South Sumatera 14.9 65.9 9.2 10.0 7 Bengkulu 12.7 68.0 9.3 10.0 8 Lampung 12.0 70.7 8.5 8.8 9 Bangka Belitung Islands 10.2 63.4 9.9 16.5 10 Riau Islands 9.1 60.0 13.2 17.6 11 DKI Jakarta 9.7 61.8 12.3 16.2 12 West Java 12.5 64.8 10.0 12.8 13 Central Java 13.7 67.4 9.3 9.5 14 DI Yogyakarta 17.5 60.8 9.7 12.1 15 East Java 12.3 67.1 9.5 11.1 16 Banten 15.3 63.0 9.5 12.2 17 Bali 11.0 68.2 10.5 10.4 18 West Nusa Tenggara 16.1 67.1 8.0 8.8 19 East Nusa Tenggara 19.7 67.3 6.5 6.5 20 West Kalimantan 14.7 67.2 8.6 9.5 21 Central Kalimantan 12.1 68.4 9.2 10.3 22 South Kalimantan 18.6 60.1 10.5 10.8 23 East Kalimantan 8.4 62.1 12.1 17.3 24 North Sulawesi 6.0 56.8 15.2 21.9 25 Central Sulawesi 10.2 65.7 10.8 13.3 26 South Sulawesi 14.6 64.7 9.7 11.0 27 Southeast Sulawesi 10.9 72.8 8.9 7.4 28 Gorontalo 11.6 60.9 11.3 16.1 29 West Sulawesi 9.9 69.3 9.8 11.0 30 Maluku 10.6 64.8 9.5 15.1 31 North Maluku 10.4 62.4 12.8 14.4 32 West Papua 10.4 62.1 12.1 15.4 33 Papua 9.2 66.0 11.0 13.8

12.6 65.8 10.0 11.7 Source: Riskesdas 2010, National Institute for Health Research and Development, MoH RI

Kategori IMT

Wasted (%) Normal (%) Over Nutrition (%)

Obese (%)

Indonesia

PREVALENCE OF ADULT NUTRITIONAL STATUS (>18 YEARS OF AGE)BASED ON BODY MASS INDEX (BMI) BY PROVINCE IN 2010

No. Provinces

Annex 3.10

No Provinces Population at Risk Clinical Cases Blood Specimens Tested Positive Annual Parasite

Incidence (API)

(1) (2) (3) (4) (5) (6) (7)1 Aceh 4,363,475 29,559 30,689 2,354 0.542 North Sumatera 8,872,054 108,895 88,561 5,377 0.613 West Sumatera 2,359,946 998 699 260 0.114 Riau 4,190,975 8,156 7,735 1,005 0.245 Jambi 1,408,470 37,882 21,901 2,309 1.646 South Sumatera 5,350,075 49,444 25,212 2,396 0.457 Bengkulu 1,858,466 51,090 41,582 7,926 4.268 Lampung 6,295,088 25,922 22,960 2,025 0.329 Bangka Belitung Islands 1,106,657 58,382 6,216 5,596 5.06

10 Riau Islands 1,244,515 16,078 4,787 1,073 0.8611 DKI Jakarta 200,000 0 0 0 0.0012 West Java 1,092,677 18,452 18,452 466 0.4313 Central Java 21,430,044 74,619 74,619 2,098 0.1014 DI Yogyakarta 3,565,783 - - 36 0.0115 East Java 6,814,535 23,260 20,672 657 0.1016 Banten 3,473,302 955 - 113 0.0317 Bali 1,402,202 10,806 10,806 40 0.0318 West Nusa Tenggara 4,380,548 72,125 75,695 7,919 1.8119 East Nusa Tenggara 4,617,521 436,717 65,075 56,075 12.1420 West Kalimantan 4,130,874 120,298 59,398 1,839 0.4521 Central Kalimantan 2,218,235 26,038 17,468 7,730 3.4822 South Kalimantan 3,394,359 8,718 7,704 2,672 0.7923 East Kalimantan 2,848,793 18,208 8,940 1,352 0.4724 North Sulawesi 2,452,635 31,901 19,835 3,990 1.6325 Central Sulawesi 2,531,777 74,191 36,070 5,271 2.0826 South Sulawesi 3,671,933 22,206 17,353 1,297 0.3527 Southeast Sulawesi 2,299,988 24,232 7,443 1,057 0.4628 Gorontalo 1,037,751 5,899 3,668 1,772 1.7129 West Sulawesi 1,176,149 25,743 7,911 642 0.5530 Maluku 1,576,914 42,762 30,921 8,559 5.4331 North Maluku 1,005,735 32,495 27,972 6,486 6.4532 West Papua 2,127,982 133,334 93,334 38,009 17.8633 Papua 2,851,999 259,634 310,728 51,418 18.03

117,351,457 1,848,999 1,164,406 229,819 1.96 Source: DG of Disease Control and Environmental Health, MoH RI, 2011

NUMBER OF CASES AND MORBIDITY OF MALARIABY PROVINCE IN 2010

Indonesia

Annex 3.11

(1) (2) (3) (4) (5) (6)

1 Aceh 0.94 0.25 0.48 0.54 2 North Sumatera NA 0.28 0.25 0.61 3 West Sumatera 0.03 0.57 0.41 0.11 4 Riau NA 0.23 0.47 0.24 5 Jambi 1.21 2.12 1.89 1.64 6 South Sumatera 0.08 0.54 0.45 0.45 7 Bengkulu 1.52 4.70 4.36 4.26 8 Lampung 0.33 0.33 0.78 0.32 9 Bangka Belitung Islands 15.89 8.09 7.87 5.06 10 Riau Islands 1.06 1.34 1.12 0.86 11 DKI Jakarta - - - - 12 West Java 0.37 0.58 0.36 0.43 13 Central Java 0.12 0.07 0.08 0.10 14 DI Yogyakarta 0.05 0.00 0.30 0.01 15 East Java 0.18 0.71 0.47 0.10 16 Banten 0.05 0.03 0.14 0.03 17 Bali 0.42 0.17 0.02 0.03 18 West Nusa Tenggara 3.47 4.88 1.93 1.81 19 East Nusa Tenggara 30.09 20.35 15.62 12.1420 West Kalimantan - 0.65 0.54 0.4521 Central Kalimantan - 2.53 1.38 3.4822 South Kalimantan 0.49 1.04 1.06 0.7923 East Kalimantan 2.90 2.04 0.93 0.4724 North Sulawesi 1.99 3.37 4.57 1.6325 Central Sulawesi 2.01 2.56 1.35 2.0826 South Sulawesi 0.08 0.31 0.47 0.3527 Southeast Sulawesi 0.52 0.28 0.22 0.4628 Gorontalo 0.43 4.13 0.54 1.7129 West Sulawesi 0.48 0.57 0.85 0.5530 Maluku 0.85 8.94 7.37 5.4331 North Maluku 11.25 8.91 8.91 6.4532 West Papua 53.57 46.10 27.66 17.8633 Papua 41.66 18.35 9.94 18.03

2.89 2.47 1.85 1.96 Source: DG of Disease Control and Environmental Health, MoH RI, 2011

Indonesia

ANNUAL PARASITE INSIDENCE (API) OF MALARIA

No. Provinces

API

2007 2008 2009 2010

BY PROVINCE IN 2007-2010

Annex 3.12

(1) (2) (3) (4) (5)

1 Aceh 0.7 11.5 12.12 North Sumatera 0.4 9.6 10.03 West Sumatera 0.3 11.9 12.24 Riau 0.5 6.0 6.55 Jambi 1.2 9.5 10.66 South Sumatera 0.9 8.4 9.27 Bengkulu 1.6 11.6 12.98 Lampung 0.5 9.1 9.69 Bangka Belitung Islands 1.5 17.9 19.0

10 Riau Islands 1.4 8.2 9.511 DKI Jakarta 0.1 8.3 8.412 West Java 0.1 10.6 10.713 Central Java 0.1 7.6 7.714 DI Yogyakarta 0.0 4.6 4.615 East Java 0.1 7.2 7.316 Banten 0.1 10.5 10.617 Bali 0.1 4.5 4.618 West Nusa Tenggara 1.4 13.0 14.219 East Nusa Tenggara 4.4 22.2 25.320 West Kalimantan 0.9 11.2 12.021 Central Kalimantan 1.4 15.0 16.222 South Kalimantan 0.7 14.0 14.523 East Kalimantan 0.9 8.6 9.324 North Sulawesi 1.9 20.1 21.625 Central Sulawesi 0.9 18.2 18.926 South Sulawesi 0.6 15.1 15.627 Southeast Sulawesi 0.4 6.8 7.128 Gorontalo 0.8 28.0 28.629 West Sulawesi 1.5 12.5 13.830 Maluku 1.4 11.5 12.631 North Maluku 3.6 18.1 20.832 West Papua 10.6 27.3 33.833 Papua 10.1 19.2 25.9

0.1 8.5 8.61.3 12.3 13.40.6 10.0 10.6

Source: DG of Disease Control and Environmental Health, MoH RI, 2011Note : D= Diagnosis by blood specimen test; G= diagnosis by clinical symptom

DG= Diagnosis by blood specimen test and clinical symptom

BY DIAGNOSIS AND PROVINCE IN 2010

D (%) G (%) DG (%)

Indonesia

Jawa-BaliLuar Jawa-Bali

PERIOD PREVALENCE OF MALARIA IN ONE LAST MONTH

No. Provinces

Period Prevalence

Annex 3.13

All Cases AFB Positive

Case Detection Rate (CDR) %

(1) (2) (3) (4) (5) (6)1 Aceh 7,092 4,592 3,670 51.7%2 North Sumatera 21,524 19,673 16,078 74.7%3 West Sumatera 7,828 6,068 4,156 53.1%4 Riau 8,677 4,553 2,996 34.5%5 Jambi 4,608 3,459 3,149 68.3%6 South Sumatera 11,716 8,046 5,705 48.7%7 Bengkulu 2,707 2,083 1,784 65.9%8 Lampung 12,147 7,241 5,139 42.3%9 Bangka Belitung Islands 1,846 1,500 1,130 61.2%

10 Riau Islands 2,527 1,621 917 36.3%11 DKI Jakarta 9,946 24,895 7,944 79.9%12 West Java 45,027 61,010 32,649 72.5%13 Central Java 35,411 37,986 19,190 54.2%14 DI Yogyakarta 2,262 2,450 1,193 52.7%15 East Java 40,093 37,511 23,350 58.2%16 Banten 10,662 13,877 8,018 75.2%17 Bali 2,294 2,942 1,449 63.2%18 West Nusa Tenggara 9,457 5,122 3,151 33.3%19 East Nusa Tenggara 9,880 5,507 3,755 38.0%20 West Kalimantan 9,216 5,797 4,634 50.3%21 Central Kalimantan 4,439 2,094 1,323 29.8%22 South Kalimantan 7,445 4,710 3,253 43.7%23 East Kalimantan 6,794 3,848 2,210 32.5%24 North Sulawesi 4,724 4,997 4,546 96.2%25 Central Sulawesi 5,296 2,719 2,307 43.6%26 South Sulawesi 16,822 9,633 7,820 46.5%27 Southeast Sulawesi 4,539 3,445 3,185 70.2%28 Gorontalo 2,091 1,822 1,617 77.3%29 West Sulawesi 2,233 1,361 1,149 51.5%30 Maluku 2,852 3,199 2,175 76.3%31 North Maluku 2,080 1,176 792 38.1%32 West Papua 1,591 1,487 635 39.9%33 Papua 4,491 6,437 2,297 51.1%

234,181 302,861 183,366 78.3%Source: DG of Disease Control and Environmental Health, MoH RI, 2011

Indonesia

CASE DETECTION COVERAGE OF PULMONARY TB

No Provinces Case EstimationDetection Coverage

BY PROVINCE IN 2010

Annex 3.14

(1) (2) (3) (4) (5) (6) (7)1 Aceh 2,352 64.1% 1,318 35.9% 3,670 2 North Sumatera 10,496 65.3% 5,582 34.7% 16,078 3 West Sumatera 2,693 64.8% 1,463 35.2% 4,156 4 Riau 1,912 63.8% 1,084 36.2% 2,996 5 Jambi 1,966 62.4% 1,183 37.6% 3,149 6 South Sumatera 3,508 61.5% 2,197 38.5% 5,705 7 Bengkulu 1,096 61.4% 688 38.6% 1,784 8 Lampung 3,115 60.6% 2,024 39.4% 5,139 9 Bangka Belitung Islands 727 64.3% 403 35.7% 1,130 10 Riau Islands 576 62.8% 341 37.2% 917 11 DKI Jakarta 4,884 61.5% 3,060 38.5% 7,944 12 West Java 18,854 57.7% 13,795 42.3% 32,649 13 Central Java 10,789 56.2% 8,401 43.8% 19,190 14 DI Yogyakarta 719 60.3% 474 39.7% 1,193 15 East Java 13,060 55.9% 10,290 44.1% 23,350 16 Banten 4,780 59.6% 3,238 40.4% 8,018 17 Bali 836 57.7% 613 42.3% 1,449 18 West Nusa Tenggara 1,888 59.9% 1,263 40.1% 3,151 19 East Nusa Tenggara 2,074 55.2% 1,681 44.8% 3,755 20 West Kalimantan 2,961 63.9% 1,673 36.1% 4,634 21 Central Kalimantan 811 61.3% 512 38.7% 1,323 22 South Kalimantan 1,979 60.8% 1,274 39.2% 3,253 23 East Kalimantan 1,355 61.3% 855 38.7% 2,210 24 North Sulawesi 2,821 62.1% 1,725 37.9% 4,546 25 Central Sulawesi 1,401 60.7% 906 39.3% 2,307 26 South Sulawesi 4,559 58.3% 3,261 41.7% 7,820 27 Southeast Sulawesi 1,919 60.3% 1,266 39.7% 3,185 28 Gorontalo 916 56.6% 701 43.4% 1,617 29 West Sulawesi 681 59.3% 468 40.7% 1,149 30 Maluku 1,245 57.2% 930 42.8% 2,175 31 North Maluku 495 62.5% 297 37.5% 792 32 West Papua 368 58.0% 267 42.0% 635 33 Papua 1,330 57.9% 967 42.1% 2,297

109,166 59.5% 74,200 40.5% 183,366 Source: DG of Disease Control and Environmental Health, MoH RI, 2011

% Cases %

Indonesia

TB ACID FAST BACIL (AFB) POSITIVE NEW CASESBY SEX AND PROVINCE IN 2010

No Provinces

Sex

Males FemalesMales+Females

Cases

Annex 3.15

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18) (19)

1 Aceh 24 14 265 207 474 280 434 269 479 236 478 220 198 92 2,352 1,318 3,670 2 North Sumatera 77 67 1,360 1,036 2,169 1,302 2,293 1,169 2,375 1,098 1,673 677 549 233 10,496 5,582 16,078 3 West Sumatera 13 14 379 287 591 337 460 264 538 236 461 223 251 102 2,693 1,463 4,156 4 Riau 9 18 262 200 437 274 377 224 405 191 290 139 132 38 1,912 1,084 2,996 5 Jambi 12 14 238 200 390 258 411 239 413 247 336 152 166 73 1,966 1,183 3,149 6 South Sumatera 23 23 441 345 759 516 711 463 723 386 577 334 274 130 3,508 2,197 5,705 7 Bengkulu 6 17 111 116 248 145 228 141 213 128 202 103 88 38 1,096 688 1,784 8 Lampung 26 17 332 321 667 493 628 388 601 362 572 320 289 123 3,115 2,024 5,139 9 Bangka Belitung Islands 1 4 94 75 158 101 143 59 147 81 123 59 61 24 727 403 1,130 10 Riau Islands 6 5 84 97 176 106 126 52 91 41 63 31 30 9 576 341 917 11 DKI Jakarta 27 30 1,001 743 1,525 852 939 633 794 497 461 229 137 76 4,884 3,060 7,944 12 West Java 129 140 3,714 3,300 4,815 3,624 3,580 2,674 3,018 2,212 2,522 1,380 1,076 465 18,854 13,795 32,649 13 Central Java 60 86 1,608 1,780 2,395 2,016 1,937 1,541 2,067 1,409 1,745 1,138 977 431 10,789 8,401 19,190 14 DI Yogyakarta - 4 107 114 141 116 127 82 132 83 114 51 98 24 719 474 1,193 15 East Java 70 101 1,566 1,690 2,530 2,303 2,459 2,132 2,783 2,059 2,514 1,518 1,138 487 13,060 10,290 23,350 16 Banten 32 24 973 807 1,257 866 959 664 827 522 545 279 187 76 4,780 3,238 8,018 17 Bali 5 4 123 123 196 159 157 113 141 92 138 86 76 36 836 613 1,449 18 West Nusa Tenggara 10 8 252 200 413 303 339 249 408 259 342 196 124 48 1,888 1,263 3,151 19 East Nusa Tenggara 17 34 287 293 458 364 352 297 352 277 363 278 245 138 2,074 1,681 3,755 20 West Kalimantan 18 27 317 280 570 364 575 335 628 305 577 268 276 94 2,961 1,673 4,634 21 Central Kalimantan 11 10 84 90 177 124 186 112 193 100 112 54 48 22 811 512 1,323 22 South Kalimantan 9 9 221 198 402 285 394 275 415 257 405 193 133 57 1,979 1,274 3,253 23 East Kalimantan 11 10 214 173 310 187 254 173 257 165 212 108 97 39 1,355 855 2,210 24 North Sulawesi 27 15 377 315 516 322 519 363 608 302 484 246 290 162 2,821 1,725 4,546 25 Central Sulawesi 11 9 186 154 294 218 296 200 291 184 226 108 97 33 1,401 906 2,307 26 South Sulawesi 9 25 557 514 908 666 907 665 925 683 838 522 415 186 4,559 3,261 7,820 27 Southeast Sulawesi 10 13 288 220 380 297 400 241 359 208 325 222 157 65 1,919 1,266 3,185 28 Gorontalo 6 8 145 125 210 164 186 140 171 134 131 95 67 35 916 701 1,617 29 West Sulawesi 3 2 107 85 136 122 141 85 128 83 120 79 46 12 681 468 1,149 30 Maluku 20 21 195 181 267 219 212 151 227 162 203 119 121 77 1,245 930 2,175 31 North Maluku 3 7 99 68 139 92 83 48 80 38 55 34 36 10 495 297 792 32 West Papua 2 4 93 91 113 78 66 38 47 31 34 20 13 5 368 267 635 33 Papua 27 32 421 372 424 285 211 150 141 74 88 43 18 11 1,330 967 2,297

714 816 16,501 14,800 24,645 17,838 21,090 14,629 20,977 13,142 17,329 9,524 7,910 3,451 109,166 74,200 183,366 Source: DG of Disease Control and Environmental Health, MoH RI, 2011

0 - 14PP

25 - 34 45 - 5415 - 24PL TPL

55 - 64L

35 - 44

TB AFB POSITIVE NEW CASESBY AGE GROUP, SEX, AND PROVINCE IN 2010

No ProvincesAge Group (Year)

PTotal> 65

LP

Indonesia

PL P L LL

Annex 3.16

All Cases AFB Positive Cases % Cases % Cases %

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

1 Aceh 3,966 3,065 2,681 87.5 172 5.6 2,853 93.1 71 2.32 North Sumatera 16,815 13,897 12,984 93.4 367 2.6 13,351 96.1 154 1.13 West Sumatera 5,482 3,732 2,950 79.0 351 9.4 3,301 88.5 124 3.34 Riau 4,325 2,880 1,840 63.9 572 19.9 2,412 83.8 55 1.95 Jambi 3,291 2,745 2,458 89.5 127 4.6 2,585 94.2 73 2.76 South Sumatera 7,779 5,181 4,641 89.6 284 5.5 4,925 95.1 67 1.37 Bengkulu 1,941 1,588 1,371 86.3 135 8.5 1,506 94.8 43 2.78 Lampung 7,266 4,943 4,284 86.7 323 6.5 4,607 93.2 101 2.09 Bangka Belitung Islands 1,229 951 837 88.0 20 2.1 857 90.1 27 2.810 Riau Islands 1,695 784 471 60.1 172 21.9 643 82.0 5 0.611 DKI Jakarta 25,074 7,989 5,749 72.0 1,108 13.9 6,857 85.8 121 1.512 West Java 61,964 31,433 27,153 86.4 1,813 5.8 28,966 92.2 414 1.313 Central Java 34,671 16,906 14,365 85.0 926 5.5 15,291 90.4 301 1.814 DI Yogyakarta 2,345 1,155 893 77.3 79 6.8 972 84.2 54 4.715 East Java 38,010 22,598 19,165 84.8 1,293 5.7 20,458 90.5 509 2.316 Banten 15,629 8,134 7,031 86.4 560 6.9 7,591 93.3 118 1.517 Bali 3,227 1,517 1,154 76.1 186 12.3 1,340 88.3 56 3.718 West Nusa Tenggara 5,346 3,089 2,436 78.9 472 15.3 2,908 94.1 64 2.119 East Nusa Tenggara 5,302 3,369 2,634 78.2 467 13.9 3,101 92.0 125 3.720 West Kalimantan 5,499 4,156 3,733 89.8 128 3.1 3,861 92.9 57 1.421 Central Kalimantan 2,090 1,339 1,116 83.3 153 11.4 1,269 94.8 13 1.022 South Kalimantan 4,609 2,891 2,587 89.5 127 4.4 2,714 93.9 74 2.623 East Kalimantan 3,694 2,065 1,407 68.1 355 17.2 1,762 85.3 64 3.124 North Sulawesi 4,989 3,988 3,596 90.2 237 5.9 3,833 96.1 78 2.025 Central Sulawesi 2,397 1,918 1,689 88.1 111 5.8 1,800 93.8 40 2.126 South Sulawesi 8,223 6,428 5,615 87.4 163 2.5 5,778 89.9 204 3.227 Southeast Sulawesi 2,663 2,296 1,920 83.6 246 10.7 2,166 94.3 68 3.028 Gorontalo 1,620 1,370 1,117 81.5 191 13.9 1,308 95.5 30 2.229 West Sulawesi 1,179 942 809 85.9 61 6.5 870 92.4 31 3.330 Maluku 2,702 2,014 1,530 76.0 421 20.9 1,951 96.9 13 0.631 North Maluku 1,096 708 392 55.4 207 29.2 599 84.6 29 4.132 West Papua 1,559 638 224 35.1 84 13.2 308 48.3 20 3.133 Papua 7,054 2,504 1,146 45.8 405 16.2 1,551 61.9 79 3.2

294,731 169,213 141,978 83.9 12,316 7.3 154,294 91.2 3,282 1.9Source: DG of Disease Control and Environmental Health, MoH RI, 2011

CuredSuccess Rate

Cured and Complete Treatment

AND SUCCESS RATE (SR) BY PROVINCE IN 2009TB AFB POSITIVE, CURED, AND COMPLETE TREATMENT

Indonesia

No. ProvincesComplete Treatment DeathTB AFB Positive

Annex 3.17

(1) (2) (3) (4)1 Aceh 0,644 2.6522 North Sumatera 0,539 3.0093 West Sumatera 0,674 4.7574 Riau 0,433 1.9885 Jambi 0,630 5.3376 South Sumatera 0,351 1.7657 Bengkulu 0,827 3.8868 Lampung 0,270 1.7469 Bangka Belitung Islands 0,640 3.58510 Riau Islands 0,427 3.22011 DKI Jakarta 1.032 2.24012 West Java 0,937 2.74613 Central Java 0,687 2.16314 DI Yogyakarta 0,311 2.06515 East Java 0,628 1.84316 Banten 1.282 3.12717 Bali 0,306 1.33918 West Nusa Tenggara 0,927 2.87719 East Nusa Tenggara 0,577 6.51120 West Kalimantan 0,903 2.80221 Central Kalimantan 0,426 4.30522 South Kalimantan 0,810 4.20123 East Kalimantan 0,789 2.75824 North Sulawesi 1.221 3.38225 Central Sulawesi 0,542 5.36726 South Sulawesi 0,577 4.84427 Southeast Sulawesi 0,418 2.14728 Gorontalo 1.200 6.99229 West Sulawesi 0,668 2.12630 Maluku 0,887 4.02231 North Maluku 0,546 3.01632 West Papua 0,637 6.72233 Papua 1.441 3.813

0,725 2.728Source: DG of Disease Control and Environmental Health, MoH RI, 2011

Indonesia

TB PERIOD PREVALENCE (D) AND SUSPECT TB PERIOD PREVALENCE (G)

No. ProvincesPeriod Prevalence

D (%) G (%)

ON > 15 YEARS OF AGE POPULATION BY PROVINCE, RISKESDAS 2010

Annex 3.18

Case Rate

per 100,000 Population(1) (2) (3) (4) (5) (6)1 Aceh 10 53 12 1.292 North Sumatera 22 507 94 3.883 West Sumatera 80 410 99 9.104 Riau 2 477 132 8.395 Jambi 103 268 62 9.376 South Sumatera - 219 38 3.047 Bengkulu 40 131 29 7.498 Lampung - 144 42 1.869 Bangka Belitung Islands 3 120 18 11.6510 Riau Islands 41 374 143 24.9611 DKI Jakarta 1167 3,995 576 44.7412 West Java 130 3,728 665 8.9113 Central Java 227 944 289 2.9214 DI Yogyakarta 215 505 108 14.8215 East Java 545 3,771 779 10.4416 Banten 82 401 67 3.8617 Bali 132 1,747 311 49.1618 West Nusa Tenggara 23 142 69 3.0719 East Nusa Tenggara 104 242 36 5.5520 West Kalimantan 331 1,125 138 23.9621 Central Kalimantan 36 57 4 2.4022 South Kalimantan - 27 5 0.7823 East Kalimantan - 11 10 0.3524 North Sulawesi - 173 62 7.6925 Central Sulawesi - 12 6 0.4626 South Sulawesi - 591 62 6.6527 Southeast Sulawesi 1 22 5 0.9528 Gorontalo - 3 1 0.3329 West Sulawesi - - - -30 Maluku - 192 70 14.2131 North Maluku 7 17 8 1.7732 West Papua - 58 19 8.9333 Papua 857 3,665 580 173.69

4,158 24,131 4,539 10.46Source: DG of Disease Control and Environmental Health, MoH RI, 2011

AIDS NEW CASES , AIDS CUMULATIVE CASES, DEATH CASES, AND CASE RATE AIDS PER 100,000 POPULATIONBY PROVINCE UP TO DECEMBER 2010

Indonesia

No Provinces Death CasesNew Cases Cumulative Cases

Annex 3.19

1st Quarter 2nd Quarter 3rd Quarter 4th Quarter(1) (2) (3) (4) (5) (6)

1 Aceh 44 48 52 532 North Sumatera 485 485 485 5073 West Sumatera 382 410 410 4104 Riau 476 477 477 4775 Jambi 165 166 166 2686 South Sumatera 219 219 219 2197 Bengkulu 91 113 119 1318 Lampung 144 144 144 1449 Bangka Belitung Islands 117 120 120 12010 Riau Islands 334 341 365 37411 DKI Jakarta 2,828 3,740 3,870 3,99512 West Java 3,599 3,710 3,714 3,72813 Central Java 752 819 872 94414 DI Yogyakarta 290 290 458 50515 East Java 3,540 3,540 3,617 3,77116 Banten 318 323 326 40117 Bali 1,725 1,747 1,747 1,74718 West Nusa Tenggara 133 139 142 14219 East Nusa Tenggara 139 142 182 24220 West Kalimantan 794 794 1,125 1,12521 Central Kalimantan 30 40 49 5722 South Kalimantan 27 27 27 2723 East Kalimantan 11 11 11 1124 North Sulawesi 173 173 173 17325 Central Sulawesi 12 12 12 1226 South Sulawesi 591 591 591 59127 Southeast Sulawesi 21 22 22 2228 Gorontalo 3 3 3 329 West Sulawesi - - - -30 Maluku 192 192 192 19231 North Maluku 13 16 16 1732 West Papua 58 58 58 5833 Papua 2,858 2,858 2,962 3,665

20,564 21,770 22,726 24,131Source: DG of Disease Control and Environmental Health, MoH RI, 2011

AIDS Cumulative Cases

AIDS CUMULATIVE CASES PER QUARTERBY PROVINCE IN 2010

Indonesia

No Provinces

Annex 3.20

(1) (2) (3) (4) (5) (6) (7) (8)1 Aceh 10 1 10.0 53 17 32.12 North Sumatera 22 13 59.1 507 222 43.83 West Sumatera 80 44 55.0 410 268 65.44 Riau 2 0 0.0 477 135 28.35 Jambi 103 59 57.3 268 155 57.86 South Sumatera - - - 219 104 47.57 Bengkulu 40 19 47.5 131 66 50.48 Lampung - - - 144 112 77.89 Bangka Belitung Islands 3 1 33.3 120 41 34.210 Riau Islands 41 1 2.4 374 31 8.311 DKI Jakarta 1167 729 62.5 3,995 2,801 70.112 West Java 130 77 59.2 3,728 2,706 72.613 Central Java 227 26 11.5 944 178 18.914 DI Yogyakarta 215 46 21.4 505 140 27.715 East Java 545 35 6.4 3,771 1,046 27.716 Banten 82 43 52.4 401 247 61.617 Bali 132 8 6.1 1,747 269 15.418 West Nusa Tenggara 23 4 17.4 142 50 35.219 East Nusa Tenggara 104 3 2.9 242 15 6.220 West Kalimantan 331 51 15.4 1,125 197 17.521 Central Kalimantan 36 7 19.4 57 14 24.622 South Kalimantan - - - 27 9 33.323 East Kalimantan - - - 11 4 36.424 North Sulawesi - - - 173 40 23.125 Central Sulawesi - - - 12 6 50.026 South Sulawesi - - - 591 265 44.827 Southeast Sulawesi 1 0 0.0 22 1 4.528 Gorontalo - - - 3 2 66.729 West Sulawesi - - - - - -30 Maluku - - - 192 79 41.131 North Maluku 7 3 42.9 17 5 29.432 West Papua - - - 58 5 8.633 Papua 857 0 0.0 3,665 3 0.1

4,158 1,170 28.1 24,131 9,233 38.3Source: DG of Disease Control and Environmental Health, MoH RI, 2011

AIDS Cumulative Cases AIDS Cumulative Cases on IDU

Percentage of AIDS Cumulative Cases on IDU

NUMBER OF CASES AND PERCENTAGE OF AIDS ON INJECTING DRUG USERS (IDU) BY PROVINCE UP TO DECEMBER 2010

Indonesia

No Provinces AIDS New Cases AIDS New Cases on IDU Percentage of AIDS New Cases on IDU

Annex 3.21

(1) (2) (3) (4) (5) (6) (7)1 Aceh 47,090 484 1,178 1,662 3.532 North Sumatera 144,630 19,236 18,483 37,719 26.083 West Sumatera 50,130 2,649 7,895 10,544 21.034 Riau 61,190 2,363 7,321 9,684 15.835 Jambi 28,590 1,186 2,994 4,180 14.626 South Sumatera 72,790 8,448 12,377 20,825 28.617 Bengkulu 16,810 88 194 282 1.688 Lampung 72,760 4,396 6,725 11,121 15.289 Bangka Belitung Islands 11,060 1,096 3,336 4,432 40.0710 Riau Islands 18,750 135 223 358 1.9111 DKI Jakarta 79,440 4,800 10,454 15,254 19.2012 West Java 398,720 67,346 126,634 193,980 48.6513 Central Java 275,810 8,097 22,143 30,240 10.9614 DI Yogyakarta 34,792 476 1,234 1,710 4.9115 East Java 263,230 17,282 35,492 52,774 20.0516 Banten 99,200 4,063 7,344 11,407 11.5017 Bali 25,980 1,367 2,372 3,739 14.3918 West Nusa Tenggara 50,830 13,263 19,515 32,778 64.4919 East Nusa Tenggara 56,230 1,349 1,765 3,114 5.5420 West Kalimantan 47,290 995 2,260 3,255 6.8821 Central Kalimantan 21,160 309 769 1,078 5.0922 South Kalimantan 33,560 5,006 11,640 16,646 49.6023 East Kalimantan 31,560 1,059 2,530 3,589 11.3724 North Sulawesi 17,710 2,803 1,470 4,273 24.1325 Central Sulawesi 25,700 2,412 5,294 7,706 29.9826 South Sulawesi 81,020 2,212 4,896 7,108 8.7727 Southeast Sulawesi 25,600 288 821 1,109 4.3328 Gorontalo 9,500 304 574 878 9.2429 West Sulawesi 10,490 1,341 2,879 4,220 40.2330 Maluku 15,270 924 1,490 2,414 15.8131 North Maluku 11,010 382 798 1,180 10.7232 West Papua 8,560 - - - -33 Papua 23,960 - - - -

2,170,423 176,159 323,100 499,259 23.00Source: DG of Disease Control and Environmental Health, MoH RI, 2011

Age 1 - 4 Total %

Indonesia

NUMBER OF UNDERFIVE PNEUMONIE CASESBY PROVINCE IN 2010

No. Provinces Underfive Population Target (10%)

Underfive Pneumonia Case Detection

Age < 1

Annex 3.22

(1) (2) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

1 Aceh 133 331 464 10.25 60 12.93 38 8.19 434 11 86.60 79.90 2 North Sumatera 28 172 200 1.51 38 19.00 23 11.50 213 1 94.50 92.80 3 West Sumatera 19 63 82 1.68 4 4.88 2 2.44 112 - 64.70 40.00 4 Riau 36 149 185 3.41 31 16.76 27 14.59 298 - 95.20 91.70 5 Jambi 22 87 109 3.78 7 6.42 21 19.27 116 - 88.50 85.10 6 South Sumatera 24 201 225 3.02 63 28.00 9 4.00 212 2 83.30 74.50 7 Bengkulu - 10 10 0.59 2 20.00 0 - 11 - 100.00 91.70 8 Lampung 52 309 361 4.75 57 15.79 43 11.91 405 7 78.00 65.00 9 Bangka Belitung Islands 9 22 31 2.63 1 3.23 5 16.13 37 4 100.00 80.00 10 Riau Islands 4 1 5 0.32 1 20.00 - - 15 - 100.00 45.50 11 DKI Jakarta 125 622 747 8.04 22 2.95 26 3.48 621 11 81.50 81.80 12 West Java 209 1540 1,749 4.06 234 13.38 168 9.61 2,027 31 97.60 87.20 13 Central Java 325 1415 1,740 5.33 240 13.79 164 9.43 2,169 21 95.00 84.00 14 DI Yogyakarta 34 93 127 3.59 34 26.77 7 5.51 158 5 100.00 100.00 15 East Java 719 3934 4,653 12.42 598 12.85 515 11.07 5,496 16 92.70 90.30 16 Banten 91 320 411 4.12 42 10.22 106 25.79 997 - 100.00 87.50 17 Bali 18 75 93 2.59 2 2.15 10 10.75 118 - 96.60 90.00 18 West Nusa Tenggara 69 188 257 5.80 22 8.56 45 17.51 251 1 98.00 95.00 19 East Nusa Tenggara 24 121 145 3.17 12 8.28 18 12.41 311 6 26.20 73.80 20 West Kalimantan 7 108 115 2.62 6 5.22 17 14.78 217 - 90.00 88.00 21 Central Kalimantan 8 67 75 3.71 7 9.33 2 2.67 72 - 100.00 95.00 22 South Kalimantan 15 163 178 5.02 42 23.60 17 9.55 215 2 90.00 85.00 23 East Kalimantan 30 185 215 6.84 13 6.05 14 6.51 212 - 88.40 65.40 24 North Sulawesi 52 354 406 18.05 35 8.62 45 11.08 424 2 91.00 89.00 25 Central Sulawesi 93 264 357 13.56 40 11.20 23 6.44 334 - 93.20 86.30 26 South Sulawesi 202 890 1,092 13.63 119 10.90 62 5.68 1,013 10 91.00 82.40 27 Southeast Sulawesi 33 221 254 11.36 7 2.76 15 5.91 286 - 96.60 81.00 28 Gorontalo 15 136 151 14.89 17 11.26 18 11.92 156 - 89.50 93.20 29 West Sulawesi 50 119 169 14.53 5 2.96 11 6.51 193 1 100.00 94.00 30 Maluku 82 348 430 26.37 19 4.42 27 6.28 514 4 93.00 86.30 31 North Maluku 179 334 513 49.01 17 3.31 94 18.32 520 4 97.00 92.00 32 West Papua 117 174 291 38.90 6 2.06 55 18.90 410 9 76.40 45.20 33 Papua 454 718 1,172 41.09 19 1.62 277 23.63 1,174 10 71.00 63.00

3,278 13,734 17,012 7.22 1,822 10.71 1,904 11.19 19,741 158 89.50 84.90 Source: DG of Disease Control and Environmental Health, MoH RI, 2011

TotalCase Detection

Rate per 100,000 Population

2nd Grade Deformity RFT Rate (%)

Cases

Registered Cases PB MB

Relapsed Cases

Cases

0 - 14 Years

LEPROSY NEW CASES, CASE DETECTION RATE (CDR), PROPORTION OF DEFORMITY, CASES ON CHILDREN, AND WOMEN BY PROVINCE IN 2010

No. Provinces

Indonesia

Paucibacillary (PB)

%

Multibacillary (MB)

%

Annex 3.23

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18) (19) (20) (21) (22) (23) (24) (25) (26) (27) (28)

1 Aceh 6 4 1 3 2 0 0 2 0 2 2 0 3 3 0 0 0 0 6 4 1 0 1 6 0 02 North Sumatera 2 0 0 1 1 0 0 0 0 1 1 0 0 1 1 0 0 0 2 1 1 0 0 2 0 03 West Sumatera 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 04 Riau 4 3 0 0 0 4 0 0 0 4 0 0 0 4 0 0 4 0 0 4 0 0 0 3 1 05 Jambi 1 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 1 0 0 0 1 0 06 South Sumatera 11 5 0 6 0 1 4 0 3 4 4 0 1 6 4 2 6 0 3 3 3 2 3 8 2 17 Bengkulu 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 08 Lampung 11 8 1 4 2 3 1 1 3 5 2 0 3 7 1 2 6 1 2 5 2 1 3 7 2 29 Bangka Belitung Islands 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

10 Riau Islands 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 011 DKI Jakarta 3 3 0 3 0 0 0 0 0 3 0 0 3 0 0 0 0 0 3 0 0 0 3 3 0 012 West Java 11 6 1 3 0 6 1 1 1 9 0 0 2 8 1 0 2 9 0 9 0 2 0 10 1 013 Central Java 4 3 0 4 0 0 0 0 3 1 0 0 2 2 0 1 2 1 0 4 0 0 0 3 1 014 DI Yogyakarta 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 015 East Java 33 18 0 28 0 3 2 5 7 18 3 1 6 23 3 11 10 11 1 20 9 3 1 30 1 216 Banten 40 19 1 16 4 17 2 5 8 24 3 0 6 33 1 8 14 15 3 32 4 4 0 38 2 017 Bali 1 0 0 1 0 0 0 0 1 0 0 0 1 0 0 1 0 0 0 1 0 0 0 1 0 018 West Nusa Tenggara 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 019 East Nusa Tenggara 2 2 0 1 0 0 1 0 0 1 1 0 0 1 1 0 0 0 2 0 0 1 1 0 1 120 West Kalimantan 9 9 0 7 0 2 0 0 4 4 1 0 3 6 0 3 5 0 1 4 3 1 1 7 2 021 Central Kalimantan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 022 South Kalimantan 2 2 0 1 0 1 0 0 1 1 0 0 0 2 0 1 1 0 0 1 1 0 0 2 0 023 East Kalimantan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 024 North Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 025 Central Sulawesi 2 0 0 0 0 1 1 0 0 1 1 0 0 1 1 0 1 0 1 0 0 0 2 1 0 126 South Sulawesi 3 1 0 0 1 0 2 0 1 1 1 0 0 1 2 1 2 0 0 2 0 0 1 3 0 027 Southeast Sulawesi 1 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 1 0 1 028 Gorontalo 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 029 West Sulawesi 1 1 0 1 0 0 0 1 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 1 0 030 Maluku 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 031 North Maluku 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 032 West Papua 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 033 Papua 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

147 84 5 79 11 38 14 16 32 80 19 1 32 99 15 31 53 38 25 92 24 14 17 126 14 7Source: DG of Disease Control and Environmental Health, MoH RI, 2011

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NUMBER OF TETANUS NEONATORUM CASES AND RISK FACTORSBY PROVINCE IN 2010

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Annex 3.24

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

1 Aceh 70 48 74 63 69 76 35 10 1 19 37 23 5252 North Sumatera 27 57 29 28 0 24 31 1 7 19 2 0 2253 West Sumatera 62 67 52 35 37 44 32 8 9 24 16 24 4104 Riau 45 35 53 18 64 0 30 37 48 50 23 14 4175 Jambi 67 38 41 57 37 26 21 22 8 16 16 21 3706 South Sumatera 79 71 49 34 47 47 33 34 30 35 10 39 5087 Bengkulu 32 42 19 22 21 8 2 6 1 1 3 4 1618 Lampung 114 95 77 61 58 40 21 24 30 24 16 13 5739 Bangka Belitung Islands 3 8 9 4 0 2 1 1 0 4 0 27 5910 Riau Islands 56 60 69 74 23 25 17 18 31 48 58 75 55411 DKI Jakarta 80 104 112 0 78 66 88 172 165 58 204 74 1,20112 West Java 424 434 462 499 456 137 133 3 0 0 0 0 2,54813 Central Java 429 566 420 310 243 167 183 125 120 106 82 63 2,81414 DI Yogyakarta 195 138 85 64 38 41 40 33 43 64 42 46 82915 East Java 194 224 153 205 176 131 72 52 32 17 15 0 1,27116 Banten 145 167 196 282 225 138 183 192 122 225 221 105 2,20117 Bali 0 40 77 11 6 0 0 7 0 0 0 0 14118 West Nusa Tenggara 2 1 2 2 2 5 1 9 0 0 0 0 2419 East Nusa Tenggara 7 30 16 16 12 18 1 0 7 0 5 0 11220 West Kalimantan 52 39 24 34 18 4 10 12 6 9 6 5 21921 Central Kalimantan 0 19 21 17 20 19 21 5 2 20 20 18 18222 South Kalimantan 34 13 13 10 6 18 8 13 15 13 3 3 14923 East Kalimantan 0 0 17 39 0 13 5 10 0 8 0 0 9224 North Sulawesi 63 98 87 23 24 16 5 38 19 17 10 10 41025 Central Sulawesi 10 9 10 16 14 5 9 18 3 19 9 9 13126 South Sulawesi 105 117 124 97 54 43 28 3 0 0 0 0 57127 Southeast Sulawesi 0 0 0 0 0 0 1 0 0 2 0 0 328 Gorontalo 7 2 6 4 10 10 5 8 5 20 15 17 10929 West Sulawesi 0 0 0 0 0 1 1 0 1 0 5 0 830 Maluku 0 0 0 0 0 0 0 0 0 0 0 0 031 North Maluku 8 11 0 2 7 7 2 5 4 6 7 0 5932 West Papua 0 31 8 5 1 0 2 3 5 27 3 7 9233 Papua 12 67 18 22 20 6 2 1 6 13 1 3 171

2,322 2,631 2,323 2,054 1,766 1,137 1,023 870 720 864 829 600 17,139Source: DG of Disease Control and Environmental Health, MoH RI, 2011

Indonesia

Mar AprNo. Provinces

Cases per Month

Sep Oct NovJun Jul Ags

NUMBER OF MEASLES CASES

Jan DecMayFeb Total

BY MONTH AND PROVINCE IN 2010

Annex 3.25

Vaccinated Cases Vaccinated Cases Vaccinated Cases Vaccinated Cases Vaccinated Cases(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)1 Aceh 4 63 9 113 18 149 9 81 8 119 48 525 9.142 North Sumatera 17 35 30 72 19 56 0 45 2 17 68 225 30.223 West Sumatera 19 38 61 110 85 136 32 58 22 68 219 410 53.414 Riau 19 38 78 149 69 147 15 45 15 38 196 417 47.005 Jambi 15 57 45 72 78 98 54 71 12 72 204 370 55.146 South Sumatera 22 77 68 134 66 135 21 53 12 109 189 508 37.207 Bengkulu 8 21 20 33 38 40 18 41 8 26 92 161 57.148 Lampung 22 64 65 106 103 173 66 106 42 124 298 573 52.019 Bangka Belitung Islands 1 7 3 10 2 24 1 8 1 10 8 59 13.5610 Riau Islands 39 77 96 189 81 170 31 49 20 69 267 554 48.1911 DKI Jakarta 0 183 0 504 0 220 0 114 0 180 0 1,201 0.0012 West Java 0 310 0 823 0 761 0 355 0 299 0 2,548 0.0013 Central Java 69 231 294 546 472 850 264 574 141 613 1240 2,814 44.0714 DI Yogyakarta 3 50 7 115 7 148 4 148 4 368 25 829 3.0215 East Java 55 122 235 363 238 401 125 194 97 191 750 1,271 59.0116 Banten 30 364 134 890 83 565 28 149 22 233 297 2,201 13.4917 Bali 1 1 5 10 18 36 12 41 9 53 45 141 31.9118 West Nusa Tenggara 0 3 0 2 4 14 2 2 0 3 6 24 25.0019 East Nusa Tenggara 2 2 16 34 12 45 2 13 10 18 42 112 37.5020 West Kalimantan 3 11 30 52 30 42 27 36 10 78 100 219 45.6621 Central Kalimantan 9 22 18 35 20 43 13 25 31 57 91 182 50.0022 South Kalimantan 7 27 26 34 14 38 2 14 5 36 54 149 36.2423 East Kalimantan 8 20 21 27 26 30 9 10 5 5 69 92 75.0024 North Sulawesi 8 44 26 132 18 132 5 47 7 55 64 410 15.6125 Central Sulawesi 1 26 9 33 12 33 1 19 1 20 24 131 18.3226 South Sulawesi 30 65 105 132 84 115 58 87 111 172 388 571 67.9527 Southeast Sulawesi 0 0 0 1 0 0 0 2 0 0 0 3 0.0028 Gorontalo 4 6 16 26 9 35 3 21 0 21 32 109 29.3629 West Sulawesi 2 3 2 2 1 1 1 1 1 1 7 8 87.5030 Maluku 0 0 0 0 0 0 0 0 0 0 0 0 0.0031 North Maluku 5 13 6 22 7 15 2 6 1 3 21 59 35.5932 West Papua 2 9 14 58 5 20 1 5 0 0 22 92 23.9133 Papua 6 24 32 72 33 54 8 14 0 7 79 171 46.20

411 2,013 1,471 4,901 1,652 4,726 814 2,434 597 3,065 4,945 17,139 28.85Source: DG of Disease Control and Environmental Health, MoH RI, 2011

1-4 5-9 10-14 > 14

Indonesia

NUMBER OF MEASLES CASESBY AGE GROUP AND PROVINCE IN 2010

No. Provinces

Cases by Age Group (Year)Total

Vaccinated

Proportion of Vaccinated to All Cases

Total Cases<1

Annex 3.26

(1) (2) (3) (4) (5)

1 Aceh 525 0 1.182 North Sumatera 225 0 0.173 West Sumatera 410 0 0.844 Riau 417 0 0.775 Jambi 370 0 1.286 South Sumatera 508 0 0.697 Bengkulu 161 0 0.958 Lampung 573 0 0.759 Bangka Belitung Islands 59 0 0.5110 Riau Islands 554 0 3.5111 DKI Jakarta 1,201 0 1.2912 West Java 2,548 0 0.6113 Central Java 2,814 5 0.8514 DI Yogyakarta 829 0 2.3515 East Java 1,271 0 0.3416 Banten 2,201 1 2.2117 Bali 141 0 0.3918 West Nusa Tenggara 24 0 0.0519 East Nusa Tenggara 112 0 0.2420 West Kalimantan 219 1 0.5021 Central Kalimantan 182 0 0.8622 South Kalimantan 149 0 0.4223 East Kalimantan 92 0 0.2824 North Sulawesi 410 0 1.8225 Central Sulawesi 131 0 0.5226 South Sulawesi 571 0 0.7127 Southeast Sulawesi 3 0 0.0128 Gorontalo 109 0 1.0929 West Sulawesi 8 0 0.0830 Maluku 0 0 0.0031 North Maluku 59 0 0.6032 West Papua 92 0 1.1933 Papua 171 0 0.80

17,139 7 0.73Source: DG of Disease Control and Environmental Health, MoH RI, 2011

Cases

Indonesia

NUMBER OF CASES, DEATHS, AND INCIDENCE RATE OF MEASLESBY PROVINCE IN 2010

No. ProvincesIR (per 10,000 Population)Deaths

Routine Report

Annex 3.27

Frequency of Outbreak Frequency of Outbreak Frequency of Outbreak Total DeathsWith Specimens > 5 With Full Investigation With Report to MOH Cases

(1) (2) (3) (4) (5) (6) (7) (8)1 Aceh 3 3 0 0 16 02 North Sumatera 1 1 1 1 15 03 West Sumatera 2 1 0 0 9 04 Riau 4 4 2 2 81 05 Jambi 6 6 6 6 88 06 South Sumatera 7 7 7 7 63 07 Bengkulu 2 2 2 2 25 08 Lampung 12 11 10 11 135 09 Bangka Belitung Islands 0 0 0 0 0 0

10 Riau Islands 0 0 0 0 0 011 DKI Jakarta 1 1 0 0 6 012 West Java 29 20 17 20 283 013 Central Java 21 19 17 19 336 014 DI Yogyakarta 3 3 3 3 23 015 East Java 13 9 0 0 65 016 Banten 33 33 31 33 463 117 Bali 7 7 7 7 134 018 West Nusa Tenggara 1 1 0 0 5 019 East Nusa Tenggara 2 2 0 0 10 020 West Kalimantan 0 0 0 0 0 021 Central Kalimantan 1 0 0 0 4 022 South Kalimantan 0 0 0 0 0 023 East Kalimantan 2 2 0 0 11 024 North Sulawesi 7 5 4 6 318 025 Central Sulawesi 2 1 0 0 8 026 South Sulawesi 1 1 0 0 5 027 Southeast Sulawesi 4 4 4 4 75 028 Gorontalo 3 2 0 0 13 029 West Sulawesi 0 0 0 0 0 030 Maluku 0 0 0 0 0 031 North Maluku 0 0 0 0 0 032 West Papua 1 1 1 1 6 033 Papua 6 5 0 0 373 5

174 151 112 122 2,570 6Source: DG of Disease Control and Environmental Health, MoH RI, 2011

OUTBREAK FREQUENCY AND NUMBER OF CASES ON MEASLES OUTBREAK BY PROVINCE IN 2010

Indonesia

Outbreak Report

Total OutbreakProvincesNo.

Annex 3.28

Sample

Blood Frequency Cases Frequency Cases Frequency Cases Frequency Cases Frequency Cases Frequency Cases(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)1 Aceh 16 0 0 3 16 0 0 0 0 0 0 0 02 North Sumatera 5 1 15 0 0 0 0 0 0 0 0 0 03 West Sumatera 9 1 4 0 0 0 0 1 5 0 0 0 04 Riau 24 4 81 0 0 0 0 0 0 0 0 0 05 Jambi 33 0 0 4 69 2 19 0 0 0 0 0 06 South Sumatera 36 3 32 3 26 0 0 1 5 0 0 0 07 Bengkulu 14 0 0 2 25 0 0 0 0 0 0 0 08 Lampung 65 1 40 7 66 0 0 4 29 0 0 0 09 Bangka Belitung Islands 0 0 0 0 0 0 0 0 0 0 0 0 010 Riau Islands 0 0 0 0 0 0 0 0 0 0 0 0 011 DKI Jakarta 6 1 6 0 0 0 0 0 0 0 0 0 012 West Java 140 13 154 6 65 2 11 8 53 0 0 0 013 Central Java 98 9 121 8 178 1 5 3 32 0 0 0 014 DI Yogyakarta 23 1 6 2 17 0 0 0 0 0 0 0 015 East Java 64 8 44 2 10 2 9 1 2 0 0 0 016 Banten 173 28 420 2 20 0 0 3 23 0 0 0 017 Bali 35 4 100 3 34 0 0 0 0 0 0 0 018 West Nusa Tenggara 5 1 5 0 0 0 0 0 0 0 0 0 019 East Nusa Tenggara 10 2 10 0 0 0 0 0 0 0 0 0 020 West Kalimantan 0 0 0 0 0 0 0 0 0 0 0 0 021 Central Kalimantan 4 1 4 0 0 0 0 0 0 0 0 0 022 South Kalimantan 0 0 0 0 0 0 0 0 0 0 0 0 023 East Kalimantan 11 0 0 2 11 0 0 0 0 0 0 0 024 North Sulawesi 35 6 313 0 0 1 5 0 0 0 0 0 025 Central Sulawesi 8 0 0 0 0 0 0 2 8 0 0 0 026 South Sulawesi 5 0 0 0 0 0 0 1 5 0 0 0 027 Southeast Sulawesi 25 3 66 0 0 1 9 0 0 0 0 0 028 Gorontalo 13 2 7 0 0 0 0 1 6 0 0 0 029 West Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 030 Maluku 0 0 0 0 0 0 0 0 0 0 0 0 031 North Maluku 0 0 0 0 0 0 0 0 0 0 0 0 032 West Papua 5 1 6 0 0 0 0 0 0 0 0 0 033 Papua 30 6 373 0 0 0 0 0 0 0 0 0 0

892 96 1,807 44 537 9 58 25 168 0 0 0 0Source: DG of Disease Control and Environmental Health, MoH RI, 2011

MEASLES OUTBREAK BASED ON LABORATORY CONFIRMATION

Indonesia

Negative Pending Lab.Without Specimens

Laboratory Confirmation

No. Provinces Measles

BY PROVINCE IN 2010

Rubella Measles and Rubella

Annex 3.29

Vaccinated Cases Vaccinated Cases Vaccinated Cases Vaccinated Cases Vaccinated Cases

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16)

1 Aceh 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00

2 North Sumatera 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00

3 West Sumatera 0 0 2 3 2 3 1 1 0 0 0 5 7 71.43

4 Riau 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00

5 Jambi 0 0 0 0 0 0 0 0 0 0 0 0 0.00

6 South Sumatera 0 0 1 2 0 2 0 2 0 1 0 1 7 14.29

7 Bengkulu 0 0 0 0 1 1 0 0 0 0 1 1 1 100.00

8 Lampung 0 0 0 1 0 0 0 0 0 0 0 0 1 0.00

9 Bangka Belitung Islands 0 0 0 0 0 2 0 0 0 0 1 0 2 0.00

10 Riau Islands 0 0 0 1 0 1 0 0 0 0 1 0 2 0.00

11 DKI Jakarta 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00

12 West Java 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00

13 Central Java 1 1 3 3 0 1 0 0 0 2 0 4 7 57.14

14 DI Yogyakarta 0 0 0 0 2 2 0 0 0 0 0 2 2 100.00

15 East Java 3 4 65 96 67 107 25 44 7 35 16 167 286 58.39

16 Banten 0 0 1 6 1 2 1 1 0 0 0 3 9 33.33

17 Bali 0 0 0 0 1 1 1 1 0 0 0 2 2 100.00

18 West Nusa Tenggara 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00

19 East Nusa Tenggara 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00

20 West Kalimantan 1 1 1 8 3 3 0 0 0 1 5 5 13 38.46

21 Central Kalimantan 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00

22 South Kalimantan 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00

23 East Kalimantan 1 3 12 18 13 16 2 5 1 4 0 29 46 63.04

24 North Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00

25 Central Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00

26 South Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00

27 Southeast Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00

28 Gorontalo 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00

29 West Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00

30 Maluku 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00

31 North Maluku 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00

32 West Papua 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00

33 Papua 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00

6 9 85 138 90 141 30 54 8 43 24 219 385 56.88Source: DG of Disease Control and Environmental Health, MoH RI, 2011

Proportion of Vaccinated to

Cases

Cases by Age Group (Month)

Indonesia

> 14No. Provinces

NUMBER OF DIPHTERIA CASES BY AGE GROUP

<1 1-3 4-9 10-14

AND PROVINCE IN 2010

Deaths Total Vaccinated

Total Cases

Annex 3.30

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)1 Aceh 0 0 0 0 0 0 0 0 0 0 0 0 02 North Sumatera 0 0 0 0 0 0 0 0 0 0 0 0 03 West Sumatera 0 0 1 0 2 2 2 0 0 0 0 0 74 Riau 0 0 0 0 0 0 0 0 0 0 0 0 05 Jambi 0 0 0 0 0 0 0 0 0 0 0 0 06 South Sumatera 0 0 2 0 1 1 2 0 0 1 0 0 77 Bengkulu 0 0 0 0 0 0 0 0 0 0 1 0 18 Lampung 0 0 0 0 0 0 0 0 0 0 1 0 19 Bangka Belitung Islands 1 1 0 0 0 0 0 0 0 0 0 0 2

10 Riau Islands 0 0 0 0 0 0 0 0 2 0 0 0 211 DKI Jakarta 0 0 0 0 0 0 0 0 0 0 0 0 012 West Java 0 0 0 0 0 0 0 0 0 0 0 0 013 Central Java 1 0 0 0 0 1 2 1 0 1 1 0 714 DI Yogyakarta 0 0 0 0 0 1 1 0 0 0 0 0 215 East Java 17 22 15 25 21 18 13 31 17 39 42 26 28616 Banten 4 0 0 1 0 2 2 0 0 0 0 0 917 Bali 0 0 0 0 0 1 0 1 0 0 0 0 218 West Nusa Tenggara 0 0 0 0 0 0 0 0 0 0 0 0 019 East Nusa Tenggara 0 0 0 0 0 0 0 0 0 0 0 0 020 West Kalimantan 0 0 0 2 1 0 2 0 0 5 1 2 1321 Central Kalimantan 0 0 0 0 0 0 0 0 0 0 0 0 022 South Kalimantan 0 0 0 0 0 0 0 0 0 0 0 0 023 East Kalimantan 0 0 4 16 8 10 6 2 0 0 0 0 4624 North Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 025 Central Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 026 South Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 027 Southeast Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 028 Gorontalo 0 0 0 0 0 0 0 0 0 0 0 0 029 West Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 030 Maluku 0 0 0 0 0 0 0 0 0 0 0 0 031 North Maluku 0 0 0 0 0 0 0 0 0 0 0 0 032 West Papua 0 0 0 0 0 0 0 0 0 0 0 0 033 Papua 0 0 0 0 0 0 0 0 0 0 0 0 0

23 23 22 44 33 36 30 35 19 46 46 28 385Source: DG of Disease Control and Environmental Health, MoH RI, 2011

NUMBER OF DIPTHERIA CASES PER MONTH

Indonesia

Mar AprNo. Provinces

Jan Feb Total

Cases per Month

BY PROVINCE IN 2010

Sep Oct Nov DecMay Jun Jul Ags

Annex 3.31

No Provinces Minimum Cases per Year AFP Cases Non Polio AFP Rate / 100,000 population

(1) (2) (3) (4) (5)1 Aceh 26 48 3.692 North Sumatera 84 88 2.103 West Sumatera 30 29 1.934 Riau 34 56 3.295 Jambi 16 19 2.386 South Sumatera 44 59 2.687 Bengkulu 10 12 2.408 Lampung 42 44 2.109 Bangka Belitung Islands 6 10 3.3010 Riau Islands 10 11 2.2011 DKI Jakarta 44 59 2.6812 West Java 232 256 2.2113 Central Java 164 177 2.1614 DI Yogyakarta 12 29 4.8315 East Java 158 263 3.3316 Banten 60 81 2.7017 Bali 16 23 2.8818 West Nusa Tenggara 28 45 3.0719 East Nusa Tenggara 30 62 3.9320 West Kalimantan 26 27 2.0821 Central Kalimantan 12 8 1.3322 South Kalimantan 20 22 2.2023 East Kalimantan 18 24 2.6724 North Sulawesi 10 31 6.2025 Central Sulawesi 14 20 2.7126 South Sulawesi 46 58 2.4827 Southeast Sulawesi 14 18 2.5728 Gorontalo 6 17 5.6729 West Sulawesi 6 6 1.6730 Maluku 8 8 2.0031 North Maluku 6 3 1.0032 West Papua 4 6 3.0033 Papua 12 22 3.67

1,248 1,641 2.62Source: DG of Disease Control and Environmental Health, MoH RI, 2011

Indonesia

BY PROVINCE IN 2010NUMBER OF AFP CASES AND NON POLIO AFP RATE

Annex 3.32

C D CFR IR C D CFR IR C D CFR IR C D CFR IR C D CFR IR(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18) (19) (20) (21) (22)1 Aceh 758 15 1.98 19.43 1,569 13 0.83 38.92 2,436 32 1.31 54.76 1,573 20 1.27 35.36 2,834 26 0.92 63.712 North Sumatera 2,125 34 1.60 16.86 3,990 34 0.85 31.66 4,454 49 1.10 34.49 4,697 58 1.23 35.70 8,889 87 0.98 67.253 West Sumatera 1,067 13 1.22 23.87 2,189 24 1.10 48.05 1,907 11 0.58 40.59 2,813 18 0.64 59.75 1,795 5 0.28 38.134 Riau 948 18 1.90 21.04 795 15 1.89 18.46 828 10 1.21 15.96 1,563 27 1.73 29.29 991 26 2.62 18.275 Jambi 365 11 3.01 13.83 309 5 1.62 11.20 245 9 3.67 8.64 254 5 1.97 8.55 178 1 0.56 5.996 South Sumatera 2,272 2 0.09 32.48 3,480 13 0.37 48.17 2,360 3 0.13 33.62 1,854 6 0.32 25.67 1,161 5 0.43 16.077 Bengkulu 129 1 0.78 7.61 274 7 2.55 15.62 339 1 0.29 19.33 260 8 3.08 15.44 609 13 2.13 35.368 Lampung 1,402 14 1.00 20.08 4,470 23 0.51 64.01 4,807 40 0.83 68.83 1,862 20 1.07 24.85 1,716 28 1.63 25.599 Bangka Belitung Islands 58 0 0.00 5.80 145 2 1.38 13.67 34 0 0.00 3.07 349 16 4.58 31.54 205 9 4.39 18.5210 Riau Islands 969 28 2.89 74.79 950 11 1.16 73.33 1,724 22 1.28 122.08 1,828 14 0.77 115.60 1,507 14 0.93 88.3711 DKI Jakarta 24,932 39 0.16 316.17 31,836 86 0.27 392.64 28,361 26 0.09 317.09 28,032 32 0.11 313.41 19,273 33 0.17 227.4412 West Java 25,851 275 1.06 66.08 30,536 288 0.94 78.05 23,248 231 0.99 54.23 37,861 307 0.81 89.41 25,727 171 0.66 59.5413 Central Java 10,924 220 2.01 33.72 20,391 327 1.60 61.96 19,235 228 1.19 58.45 17,881 248 1.39 54.81 19,871 251 1.26 60.4614 DI Yogyakarta 2,184 23 1.05 66.22 2,462 26 1.06 74.65 2,119 21 0.99 61.72 2,203 15 0.68 63.89 4,997 34 0.68 144.9215 East Java 20,374 247 1.21 56.19 25,950 372 1.43 69.95 17,310 168 0.97 46.31 18,631 185 0.99 50.03 26,020 233 0.90 68.9216 Banten 2,306 35 1.52 26.92 5,587 98 1.75 65.22 3,954 53 1.34 46.16 5,250 70 1.33 56.39 5,544 119 2.15 55.2717 Bali 5,629 30 0.53 170.57 6,375 14 0.22 193.18 6,254 19 0.30 181.31 5,810 9 0.15 167.41 11,697 34 0.29 337.0418 West Nusa Tenggara 623 4 0.64 15.59 720 2 0.28 16.90 777 4 0.51 18.10 615 4 0.65 13.72 2,096 12 0.57 51.0219 East Nusa Tenggara 251 3 1.20 6.36 518 11 2.12 13.13 695 22 3.17 14.58 399 7 1.75 8.44 1,459 15 1.03 30.6020 West Kalimantan 2,659 35 1.32 65.94 508 7 1.38 12.98 947 32 3.38 22.29 9,792 171 1.75 228.30 589 16 2.72 13.8621 Central Kalimantan 513 4 0.78 27.42 696 8 1.15 35.54 531 7 1.32 27.11 1,309 16 1.22 65.25 1,394 7 0.50 62.8222 South Kalimantan 455 7 1.54 12.40 1,321 16 1.21 35.59 576 11 1.91 15.52 1,113 20 1.80 29.30 1,134 33 2.91 29.8623 East Kalimantan 2,714 76 2.80 103.64 5,341 102 1.91 193.15 5,762 105 1.82 202.83 5,244 68 1.30 173.84 5,610 42 0.75 167.3124 North Sulawesi 1,290 19 1.47 59.62 1,865 24 1.29 86.15 1,430 16 1.12 63.58 1,640 20 1.22 68.79 2,091 40 1.91 87.7025 Central Sulawesi 492 11 2.24 20.01 1,338 17 1.27 54.02 1,389 17 1.22 55.25 952 7 0.74 36.50 2,098 29 1.38 81.8026 South Sulawesi 2,612 22 0.84 35.03 2,732 30 1.10 36.79 3,538 27 0.76 46.37 3,411 23 0.67 44.71 4,083 33 0.81 49.0227 Southeast Sulawesi 95 3 3.16 4.73 944 7 0.74 48.20 1,006 9 0.89 46.21 692 12 1.73 31.86 986 13 1.32 45.2828 Gorontalo 302 2 0.66 32.90 236 4 1.69 25.71 172 4 2.33 18.20 91 2 2.20 9.19 467 8 1.71 46.1429 West Sulawesi 31 1 3.23 3.06 2 0 0.00 0.20 43 0 0.00 4.24 149 0 0.00 13.74 144 0 0.00 14.1930 Maluku 0 0 0.00 0.00 0 0 0.00 0.00 0 0 0.00 0.00 0 0 0.00 0.00 6 1 16.67 0.4231 North Maluku 138 4 2.90 16.09 275 7 2.55 29.22 250 7 2.80 25.25 384 7 1.82 38.89 347 12 3.46 33.6132 West Papua 128 0 0.00 22.69 208 2 0.96 28.76 510 2 0.39 90.41 204 2 0.98 28.21 298 0 0.00 52.8333 Papua 60 0 0.00 3.55 103 4 3.88 6.09 228 1 0.44 13.47 196 3 1.53 10.93 270 8 2.96 15.05

114,656 1,196 1.04 52.48 158,115 1,599 1.01 71.78 137,469 1,187 0.86 59.02 158,912 1,420 0.89 68.22 156,086 1,358 0.87 65.70Source: D: DG of PP & PL, Kemenkes RI, 2011

Note : C = Cases, D = Deaths, CFR = Case Fatality Rate, IR = Incidence Rate

2009 2010

NUMBER OF DENGUE HAEMORRHAGIC FEVER (DHF) CASES, DEATHS, CASE FATALITY RATE (%), AND INCIDENCE RATE PER 100,000 POPULATION BY PROVINCE IN 2006 - 2010

Indonesia

No. Provinces2006 2007 2008

Annex 3.33

Districts/ Districts/ Districts/ Districts/ Districts/MunicipalitiesMunicipalitiesMunicipalitiesMunicipalitiesMunicipalities

2006 2007 2008 2009 2010 Infected % Infected % Infected % Infected % Infected %(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17)1 Aceh 21 23 23 23 23 15 71.43 15 65.22 17 73.91 17 73.91 21 91.302 North Sumatera 25 28 33 33 33 19 76.00 20 71.43 22 66.67 22 66.67 22 66.673 West Sumatera 19 19 19 19 19 12 63.16 15 78.95 17 89.47 16 84.21 16 84.214 Riau 11 11 11 12 12 11 100.00 11 100.00 10 90.91 11 91.67 12 100.005 Jambi 10 10 11 11 11 10 100.00 8 80.00 9 81.82 7 63.64 7 63.646 South Sumatera 14 15 15 15 15 9 64.29 12 80.00 9 60.00 12 80.00 13 86.677 Bengkulu 9 9 10 10 10 7 77.78 9 100.00 9 90.00 10 100.00 10 100.008 Lampung 10 11 14 14 14 10 100.00 10 90.91 10 71.43 11 78.57 11 78.579 Bangka Belitung Islands 7 7 7 7 7 5 71.43 7 100.00 6 85.71 7 100.00 7 100.00

10 Riau Islands 6 6 7 7 7 3 50.00 4 66.67 4 57.14 5 71.43 6 85.7111 DKI Jakarta 6 6 6 6 6 5 83.33 6 100.00 6 100.00 6 100.00 6 100.0012 West Java 25 26 26 26 26 25 100.00 25 96.15 26 100.00 26 100.00 26 100.0013 Central Java 35 35 35 35 35 35 100.00 35 100.00 35 100.00 35 100.00 35 100.0014 DI Yogyakarta 5 5 5 5 5 5 100.00 5 100.00 5 100.00 5 100.00 5 100.0015 East Java 38 38 38 38 38 38 100.00 38 100.00 38 100.00 38 100.00 38 100.0016 Banten 6 7 8 8 8 6 100.00 6 85.71 6 75.00 8 100.00 8 100.0017 Bali 9 9 9 9 9 9 100.00 9 100.00 9 100.00 9 100.00 9 100.0018 West Nusa Tenggara 9 9 10 10 10 8 88.89 8 88.89 8 80.00 7 70.00 9 90.0019 East Nusa Tenggara 16 20 21 21 21 1 6.25 5 25.00 5 23.81 6 28.57 9 42.8620 West Kalimantan 12 14 14 14 14 10 83.33 10 71.43 10 71.43 14 100.00 11 78.5721 Central Kalimantan 14 14 14 14 14 6 42.86 12 85.71 9 64.29 13 92.86 14 100.0022 South Kalimantan 13 13 13 13 13 12 92.31 13 100.00 13 100.00 13 100.00 13 100.0023 East Kalimantan 13 14 14 14 14 13 100.00 13 92.86 13 92.86 13 92.86 14 100.0024 North Sulawesi 9 13 15 15 15 9 100.00 9 69.23 9 60.00 11 73.33 12 80.0025 Central Sulawesi 10 10 11 11 11 7 70.00 9 90.00 9 81.82 9 81.82 11 100.0026 South Sulawesi 23 23 24 24 24 20 86.96 21 91.30 21 87.50 22 91.67 21 87.5027 Southeast Sulawesi 10 12 12 12 12 5 50.00 7 58.33 3 25.00 6 50.00 8 66.6728 Gorontalo 5 6 6 6 6 5 100.00 5 83.33 6 100.00 5 83.33 6 100.0029 West Sulawesi 5 5 5 5 5 2 40.00 1 20.00 1 20.00 4 80.00 4 80.0030 Maluku 8 9 11 11 11 0 0.00 0 0.00 0 0.00 0 0.00 1 9.0931 North Maluku 8 8 9 9 9 3 37.50 6 75.00 4 44.44 4 44.44 6 66.6732 West Papua 9 9 10 11 11 2 22.22 3 33.33 0 0.00 5 45.45 2 18.1833 Papua 20 21 29 29 29 3 15.00 4 19.05 6 20.69 7 24.14 7 24.14

440 465 495 497 497 330 75.00 361 77.63 355 71.72 384 77.26 400 80.48Source: DG of Disease Control and Environmental Health, MoH RI, 2011

2007 2008 2009

NUMBER OF DISTRICTS/MUNICIPALITIES INFECTED BY DHFBY PROVINCE IN 2006 - 2010

Indonesia

No. ProvincesYear

20102006

Annex 3.34

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17)1 Aceh 642 7 1.09 - - - 178 0 0.00 45 3 6.67 121 3 2.482 North Sumatera 1,264 13 1.03 1,078 23 2.13 636 12 1.89 - - - - - -3 West Sumatera 40 0 0.00 - - - - - - - - - 51 0 0.004 Riau - - - - - - - - - 86 0 0.00 116 1 0.865 Jambi - - - - - - - - - - - - - - -6 South Sumatera 46 0 0.00 - - - - - - - - - - - -7 Bengkulu 218 6 2.75 - - - - - - - - - - - -8 Lampung - - - - - - - - - 11 2 18.18 - - -9 Bangka Belitung Islands - - - - - - - - - - - - - - -10 Riau Islands - - - - - - - - - - - - - - -11 DKI Jakarta - - - - - - - - - - - - - - -12 West Java 1,722 18 1.05 174 2 1.15 380 2 0.53 1,425 14 0.98 1,068 5 0.4713 Central Java - - - - - - 216 1 0.46 95 6 6.32 35 1 2.8614 DI Yogyakarta - - - - - - - - - - - - - - -15 East Java 263 3 1.14 604 13 2.15 362 9 2.49 - - - 1,181 12 1.0216 Banten - - - 1,057 3 0.28 351 10 2.85 385 3 0.7817 Bali - - - - - - 1,047 4 0.38 - - - - - -18 West Nusa Tenggara 102 1 0.98 - - - 814 1 0.12 1,147 3 0.26 - - -19 East Nusa Tenggara 1,223 45 3.68 104 3 2.88 217 3 1.38 416 17 4.09 - - -20 West Kalimantan - - - - - - - - - - - - - - -21 Central Kalimantan 184 7 3.80 120 3 2.50 - - - - - - - - -22 South Kalimantan 488 7 1.43 163 6 3.68 - - - - - - - - -23 East Kalimantan 373 3 0.80 - - - - - - - - -24 North Sulawesi 50 1 2.00 - - - - - - - - - - - -25 Central Sulawesi - - - 66 11 16.67 106 2 1.89 437 21 4.81 817 30 3.6726 South Sulawesi 46 0 0.00 - - - 41 1 2.44 37 1 2.70 169 4 2.3727 Southeast Sulawesi 269 7 2.60 293 5 1.71 229 5 2.18 - - - - - -28 Gorontalo 177 12 6.78 - - - - - - - - - - - -29 West Sulawesi 40 0 0 - - - 2,023 23 1.14 423 10 2.36 - - -30 Maluku - - - - - - 130 18 13.85 - - - - - -31 North Maluku 133 6 4.51 - - - 169 14 8.28 205 3 1.46 - - -32 West Papua 6,544 158 2.41 - - - 1,585 144 9.09 473 7 1.48 37 8 21.6233 Papua - - - - - - - - - 605 3 0.50 224 6 2.68

13,451 291 2.16 4,032 72 1.79 8,133 239 2.94 5,756 100 1.74 4,204 73 1.74Source: DG of Disease Control and Environmental Health, MoH RI, 2011Ket . : C = Cases, D = Deaths, CFR = Case Fatality Rate

DIARRHEA OUTBREAKS

D CFR

BY PROVINCE IN 2006 - 2010

2006 2007 2008 2009

C D

Indonesia

CFR CNo. Provinces

C D CFR C D CFR

2010

CFRC D

Annex 3.35

Infected Areas

Cases Deaths Districts/Municipalities(1) (2) (3) (4) (5) (6)1 Aceh 376 0 8 January-December2 North Sumatera - - - -3 West Sumatera 77 0 2 January-June4 Riau - - - -5 Jambi - - - -6 South Sumatera 1,506 0 1 January-April7 Bengkulu - - - -8 Lampung 27,087 0 13 Januar-June9 Bangka Belitung Islands 225 0 1 January-May

10 Riau Islands - - - -11 DKI Jakarta 528 0 4 January-May12 West Java 4,441 0 9 January-October13 Central Java 345 0 - January-December14 DI Yogyakarta 568 0 2 January15 East Java 4,763 0 6 January-May16 Banten 192 0 1 January17 Bali 246 0 2 March-August18 West Nusa Tenggara 2,200 0 4 January-September19 East Nusa Tenggara - - - -20 West Kalimantan 492 0 1 January-May21 Central Kalimantan - - - -22 South Kalimantan 9,133 0 12 January-October23 East Kalimantan 378 0 3 January-May24 North Sulawesi 157 0 1 June25 Central Sulawesi 851 0 - September-December26 South Sulawesi 41 0 1 May27 Southeast Sulawesi - - - -28 Gorontalo 293 0 3 May-November29 West Sulawesi - - - -30 Maluku - - - -31 North Maluku - - - -32 West Papua - - - -33 Papua - - - -

53,899 0 74Source: DG of Disease Control and Environmental Health, MoH RI, 2011

NUMBER OF CHIKUNGUNYA CASESBY PROVINCE IN 2010

No. Provinces

Indonesia

CasesPeriod

Annex 3.36

GHPR VAR LYSSA GHPR VAR LYSSA GHPR VAR LYSSA(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)1 Aceh 269 248 0 329 294 5 524 471 02 North Sumatera 2,660 2,073 7 2,386 1,718 18 3,714 2,848 353 West Sumatera 2,374 1,688 7 2,818 2,061 14 858 514 54 Riau 791 560 1 653 636 5 1,293 1,082 25 Jambi 480 382 0 502 303 0 704 475 36 South Sumatera 883 769 2 2,123 1,518 9 144 75 27 Bengkulu 353 265 4 575 422 0 261 181 08 Lampung 886 466 10 1,274 1,095 7 1,018 76 39 Bangka Belitung Islands 0 0 0 0 0 0 0 0 0

10 Riau Islands 0 0 0 9 0 1 1 0 111 DKI Jakarta 0 0 0 0 0 0 0 0 012 West Java 651 489 3 288 83 0 294 183 113 Central Java 13 0 0 0 0 0 0 0 014 DI Yogyakarta 12 9 0 0 0 0 0 0 015 East Java 0 0 0 0 0 0 0 0 016 Banten 110 50 0 264 105 2 119 106 017 Bali 355 325 4 21,806 18,825 28 60,434 52,775 8218 West Nusa Tenggara 0 0 0 0 0 0 0 0 019 East Nusa Tenggara 3,414 3,061 25 3,882 3,237 33 3,547 2,154 2520 West Kalimantan 0 0 0 0 0 0 0 0 021 Central Kalimantan 385 256 3 629 346 1 566 390 122 South Kalimantan 165 125 4 110 104 0 65 53 023 East Kalimantan 197 131 0 240 173 1 42 2 024 North Sulawesi 1,917 534 14 1,859 689 12 1,412 439 1025 Central Sulawesi 391 246 5 605 512 4 591 371 326 South Sulawesi 1,015 913 5 947 827 3 99 85 027 Southeast Sulawesi 2,554 1,070 16 1,994 805 4 1,267 478 428 Gorontalo 238 107 1 284 139 5 325 127 229 West Sulawesi 101 85 1 325 215 0 97 50 530 Maluku 844 650 3 1,288 933 35 778 359 2131 North Maluku 187 181 7 276 276 8 50 40 132 West Papua 0 0 0 0 0 0 0 0 033 Papua 0 0 0 0 0 0 0 0 0

21,245 14,683 122 45,466 35,316 195 78,203 63,334 206

Persentase (%) 69.1% 77.68% 80.99%Source: DG of Disease Control and Environmental Health, MoH RI, 2011Ket : GHPR = Animal bites infected Rabies, VAR = Vaccinated cases

2008 2009 2010

Indonesia

RABIES CASES IN INDONESIA IN 2008-2010

No. Provinces

Annex 3.37

2006 2007 2008 2009 2010(1) (2) (3) (4) (5) (6) (7)1 Aceh 2,359 2,359 2,359 2,359 2,3592 North Sumatera 104 104 141 141 1413 West Sumatera 231 274 274 274 2744 Riau 532 532 532 532 5325 Jambi 255 255 257 257 2216 South Sumatera 191 191 210 210 2107 Bengkulu 94 94 94 94 948 Lampung 74 74 74 74 749 Bangka Belitung Islands 151 207 207 207 20710 Riau Islands 31 31 31 31 3111 DKI Jakarta 53 53 53 53 5312 West Java 252 265 404 474 47413 Central Java 224 395 395 412 41214 DI Yogyakarta 5 37 37 37 3715 East Java 207 238 219 219 21916 Banten 67 67 91 76 7617 Bali 18 18 18 18 1818 West Nusa Tenggara 62 69 71 71 7119 East Nusa Tenggara 1,682 1,682 1,682 1,730 1,73020 West Kalimantan 232 244 253 253 25321 Central Kalimantan 202 226 225 225 22522 South Kalimantan 385 385 385 385 38523 East Kalimantan 409 409 409 409 40924 North Sulawesi 30 30 30 30 3025 Central Sulawesi 451 451 451 451 45126 South Sulawesi 60 60 60 128 12827 Southeast Sulawesi 181 208 208 201 10728 Gorontalo 224 224 224 224 22429 West Sulawesi 92 92 96 96 9630 Maluku 70 70 70 70 7031 North Maluku 12 12 27 27 2732 West Papua 355 985 985 988 98833 Papua 1,132 1,132 1,127 1,158 1,343

10,427 11,473 11,699 11,914 11,969Source: DG of Disease Control and Environmental Health, MoH RI, 2011

Indonesia

Cases

NUMBER OF FILARIASIS CASESBY PROVINCE IN 2006 - 2010

No. Provinces

Annex 3.38

Human Rodent Human Rodent Tested Positive(1) (2) (3) (4) (5) (6) (7) (8) (9)1 Aceh 0 0 0 0 0 0 02 North Sumatera 0 0 0 0 0 0 03 West Sumatera 0 0 0 0 0 0 04 Riau 0 0 0 0 0 0 05 Jambi 0 0 0 0 0 0 06 South Sumatera 0 0 0 0 0 0 07 Bengkulu 0 0 0 0 0 0 08 Lampung 0 0 0 0 0 0 09 Bangka Belitung Islands 0 0 0 0 0 0 0

10 Riau Islands 0 0 0 0 0 0 011 DKI Jakarta 0 0 0 0 0 0 012 West Java 0 0 0 0 0 0 013 Central Java 0 0 0 0 0 0 014 DI Yogyakarta Sleman 0 407 0 34 0 015 East Java Pasuruan 1 0 0 0 0 016 Banten 0 0 0 0 0 0 017 Bali 0 0 0 0 0 0 018 West Nusa Tenggara 0 0 0 0 0 0 019 East Nusa Tenggara - - - - - - -20 West Kalimantan 0 0 0 0 0 0 021 Central Kalimantan - - - - - - -22 South Kalimantan 0 0 0 0 0 0 023 East Kalimantan 0 0 0 0 0 0 024 North Sulawesi 0 0 0 0 0 0 025 Central Sulawesi 0 0 0 0 0 0 026 South Sulawesi 0 0 0 0 0 0 027 Southeast Sulawesi - - - - - - -28 Gorontalo 0 0 0 0 0 0 029 West Sulawesi - - - - - - -30 Maluku - - - - - - -31 North Maluku - - - - - - -32 West Papua - - - - - - -33 Papua - - - - - - -

1 407 0 34 0 0Source: DG of Disease Control and Environmental Health, MoH RI, 2011

Indonesia

PEST SITUATION BY PROVINCE IN 2010

No. Provinces Tested Specimens Positive Specimens Pool Specimensistricts/Municipalitie

Annex 3.39

C D CFR C D CFR C D CFR C D CFR C D CFR C D CFR(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18) (19) (20)

1 Aceh 0 0 0.0 49 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.02 North Sumatera 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.03 West Sumatera 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.04 Riau 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.05 Jambi 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.06 South Sumatera 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.07 Bengkulu 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.08 Lampung 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.09 Bangka Belitung Islands 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0

10 Riau Islands 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.011 DKI Jakarta 56 0 0.0 51 0 0.0 470 34 7.2 141 2 1.4 8 2 25.0 15 0 0.012 West Java 0 0 0.0 0 0 0.0 9 1 11.1 0 0 0.0 0 0 0.0 1 0 0.013 Central Java 35 10 28.6 35 9 25.7 67 6 9.0 231 15 6.5 232 14 6.0 133 14 10.514 DI Yogyakarta 16 2 12.5 9 3 33.3 1 1 100.0 23 2 8.7 95 7 7.4 230 23 10.015 East Java 0 0 0.0 0 0 0.0 48 4 8.3 31 3 9.7 0 0 0.0 19 6 31.616 Banten 0 0 0.0 0 0 0.0 53 4 7.5 0 0 0.0 0 0 0.0 0 0 0.017 Bali 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.018 West Nusa Tenggara 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.019 East Nusa Tenggara 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.020 West Kalimantan 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.021 Central Kalimantan 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.022 South Kalimantan 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.023 East Kalimantan 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.024 North Sulawesi 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.025 Central Sulawesi 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.026 South Sulawesi 8 2 25.0 2 2 100.0 16 5 31.3 0 0 0.0 0 0 0.0 11 0 0.027 Southeast Sulawesi 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.028 Gorontalo 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.029 West Sulawesi 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.030 Maluku 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.031 North Maluku 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.032 West Papua 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.033 Papua 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0

115 14 12.17 146 14 9.59 664 55 8.28 426 22 5.16 335 23 6.87 409 43 10.51Source: DG of Disease Control and Environmental Health, MoH RI, 2011Note : C= Cases, D= Deaths

2008 2009 2010

Indonesia

NUMBER OF LEPTOSPYROSIS CASES, DEATHS, AND CASE FATALITY RATE (CFR)BY PROVINCE IN 2004 - 2010

No. Provinces2005 2006 2007

Annex 3.40

Cases Treated Deaths Cases Treated Deaths Cases Treated Deaths Cases Treated Deaths Cases Treated Deaths(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17)

1 Aceh 0 0 0 0 0 0 0 0 0 0 0 0 0 0 02 North Sumatera 0 0 0 0 0 0 0 0 0 0 0 0 0 0 03 West Sumatera 0 0 0 0 0 0 0 0 0 0 0 0 0 0 04 Riau 0 0 0 0 0 0 0 0 0 0 0 0 0 0 05 Jambi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 06 South Sumatera 0 0 0 0 0 0 0 0 0 0 0 0 0 0 07 Bengkulu 0 0 0 0 0 0 0 0 0 0 0 0 0 0 08 Lampung 0 0 0 0 0 0 0 0 0 0 0 0 0 0 09 Bangka Belitung Islands 0 0 0 0 0 0 0 0 0 0 0 0 0 0 010 Riau Islands 0 0 0 0 0 0 0 0 0 0 0 0 0 0 011 DKI Jakarta 0 0 0 0 0 0 2 2 0 0 0 0 0 0 012 West Java 8 7 1 18 18 0 18 18 0 0 0 0 0 0 013 Central Java 0 0 0 0 0 0 0 0 0 0 0 0 24 24 114 DI Yogyakarta 0 0 0 0 0 0 0 0 0 0 0 0 0 0 015 East Java 0 0 0 0 0 0 0 0 0 0 0 0 0 0 016 Banten 0 0 0 0 0 0 0 0 0 0 0 0 0 0 017 Bali 0 0 0 0 0 0 0 0 0 0 0 0 0 0 018 West Nusa Tenggara 7 7 0 0 0 0 0 0 0 0 0 0 0 0 019 East Nusa Tenggara 0 0 0 56 51 5 0 0 0 0 0 0 0 0 020 West Kalimantan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 021 Central Kalimantan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 022 South Kalimantan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 023 East Kalimantan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 024 North Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 025 Central Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 026 South Sulawesi 0 0 0 0 0 0 0 0 0 17 15 2 7 4 027 Southeast Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 028 Gorontalo 0 0 0 0 0 0 0 0 0 0 0 0 0 0 029 West Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 030 Maluku 0 0 0 0 0 0 0 0 0 0 0 0 0 0 031 North Maluku 0 0 0 0 0 0 0 0 0 0 0 0 0 0 032 West Papua 0 0 0 0 0 0 0 0 0 0 0 0 0 0 033 Papua 0 0 0 0 0 0

15 14 1 74 69 5 20 20 0 17 15 2 31 28 1Source: DG of Disease Control and Environmental Health, MoH RI, 2011

Indonesia

NUMBER OF ANTRAX CASES ON HUMANBY PROVINCE IN 2006 - 2010

No. Provinces 2006 2007 2008 2009 2010

Annex 3.41

C D CFR C D CFR C D CFR C D CFR C D CFR C D CFR C D CFR(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18) (19) (20) (21) (22) (23)

1 Aceh 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0

2 North Sumatera 0 0 0.0 7 6 85.7 1 1 100.0 0 0 0.0 - - - - - - 8 7 87.5

3 West Sumatera 0 0 0.0 2 0 0.0 1 1 100.0 1 0 0.0 - - - - - - 4 1 25.0

4 Riau 0 0 0.0 0 0 0.0 6 5 83.3 1 0 0.0 1 1 100.0 1 1 100.0 9 7 77.8

5 Jambi 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0

6 South Sumatera 0 0 0.0 0 0 0.0 1 1 100.0 0 0 0.0 - - - - - - 1 1 100.0

7 Bengkulu 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0

8 Lampung 3 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 - - - - - - 3 0 0.0

9 Bangka Belitung Islands 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0

10 Riau Islands 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0

11 DKI Jakarta 8 7 87.5 11 10 90.9 8 7 87.5 7 5 71.4 10 8 80.0 3 3 100.0 47 40 85.1

12 West Java 3 2 66.7 22 18 81.8 5 4 80.0 4 4 100.0 6 6 100.0 2 1 50.0 42 35 83.3

13 Central Java 1 0 0.0 3 3 100.0 5 5 100.0 2 2 100.0 1 1 100.0 1 1 100.0 13 12 92.3

14 DI Yogyakarta 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 1 1 100.0 - - - 1 1 100.0

15 East Java 0 0 0.0 5 3 60.0 2 2 100.0 0 0 0.0 1 1 100.0 1 0 0.0 9 6 66.7

16 Banten 5 4 80.0 4 4 100.0 11 9 81.8 9 9 100.0 1 1 100.0 1 1 100.0 31 28 90.3

17 Bali 0 0 0.0 0 0 0.0 2 2 100.0 0 0 0.0 - - - - - - 2 2 100.0

18 West Nusa Tenggara 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0

19 East Nusa Tenggara 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0

20 West Kalimantan 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0

21 Central Kalimantan 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0

22 South Kalimantan 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0

23 East Kalimantan 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0

24 North Sulawesi 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0

25 Central Sulawesi 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0

26 South Sulawesi 0 0 0.0 1 1 100.0 0 0 0.0 0 0 0.0 - - - - - - 1 1 100.0

27 Southeast Sulawesi 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0

28 Gorontalo 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0

29 West Sulawesi 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0

30 Maluku 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0

31 North Maluku 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0

32 West Papua 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0

33 Papua 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0

20 13 65.0 55 45 81.8 42 37 88.1 24 20 83.3 21 19 90.5 9 7 77.8 171 141 82.5Source: DG of Disease Control and Environmental Health, MoH RI, 2011Note : C= Cases, D= Deaths

2008 20092005 2010 Total Cumulative (2005-2010)

Indonesia

NUMBER OF AVIAN INFLUENZA CASES, DEATHS, AND CASE FATALITY RATE (%)BY PROVINCE IN 2005 - 2010

No. Provinces2006 2007

Lampiran 4.1

Total 1st Visit %1st Visit 4th Visit %4th Visit Total Attended by health personnel

% Attended by health personnel

Postpartum visit (3x)

% postpartum visits (3x)

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (9) (10)

1 Aceh 113,584 104,208 91.75 94,347 83.06 100,499 83,318 82.90 77,511 77.13 2 North Sumatera 323,082 305,330 94.51 285,328 88.31 307,891 259,853 84.40 160,217 52.04 3 West Sumatera 114,090 107,729 94.42 103,005 90.28 108,902 97,445 89.48 55,464 50.93 4 Riau 137,524 136,399 99.18 125,373 91.16 119,687 109,410 91.41 87,400 73.02 5 Jambi 76,957 73,560 95.59 67,802 88.10 73,132 63,464 86.78 55,713 76.18 6 South Sumatera 191,287 179,252 93.71 167,217 87.42 190,243 156,237 82.12 146,829 77.18 7 Bengkulu 48,051 44,136 91.85 40,944 85.21 45,839 36,509 79.65 32,144 70.12 8 Lampung 188,374 171,785 91.19 159,060 84.44 179,811 143,048 79.55 142,488 79.24 9 Bangka Belitung Island 28,191 27,832 98.73 25,825 91.61 26,931 24,532 91.09 23,018 85.47 10 Riau Island 42,935 31,572 73.53 29,758 69.31 41,277 26,670 64.61 21,317 51.64 11 DKI Jakarta 159,281 160,888 101.01 149,735 94.01 152,041 139,289 91.61 110,533 72.70 12 West Java 1,039,072 1,002,470 96.48 906,651 87.26 991,842 824,386 83.12 789,834 79.63 13 Central Java 632,226 609,315 96.38 568,850 89.98 590,303 542,478 91.90 422,464 71.57 14 DI Yogyakarta 47,928 47,548 99.21 39,663 82.76 42,640 36,911 86.56 37,971 89.05 15 East Java 654,382 642,717 98.22 576,297 88.07 600,949 571,133 95.04 575,828 95.82 16 Banten 231,382 232,271 100.38 195,349 84.43 220,944 171,992 77.84 124,451 56.33 17 Bali 68,193 67,873 99.53 62,895 92.23 65,066 64,286 98.80 62,909 96.68 18 West Nusa Tenggara 116,343 115,661 99.41 102,883 88.43 112,399 94,427 84.01 96,949 86.25 19 East Nusa Tenggara 128,179 103,096 80.43 72,285 56.39 122,330 84,316 68.93 67,443 55.13 20 West Kalimantan 108,650 101,629 93.54 91,717 84.42 103,654 79,825 77.01 70,632 68.14 21 Central Kalimantan 52,186 48,033 92.04 42,216 80.90 49,492 39,571 79.95 30,257 61.14 22 South Kalimantan 78,372 76,407 97.49 68,341 87.20 74,251 65,928 88.79 65,016 87.56 23 East Kalimantan 85,215 82,366 96.66 70,125 82.29 82,103 64,257 78.26 53,946 65.71 24 North Sulawesi 42,874 39,052 91.09 35,218 82.14 41,077 33,593 81.78 29,189 71.06 25 Central Sulawesi 54,169 52,139 96.25 47,389 87.48 51,709 43,874 84.85 10,093 19.52 26 South Sulawesi 179,374 177,395 98.90 157,146 87.61 171,221 149,353 87.23 118,065 68.95 27 Southeast Sulawesi 47,529 45,475 95.68 40,746 85.73 42,813 36,878 86.14 36,022 84.14 28 Gorontalo 29,265 27,856 95.19 24,452 83.55 26,296 21,903 83.29 19,972 75.95 29 West Sulawesi 27,502 27,119 98.61 20,490 74.50 26,251 19,033 72.50 18,927 72.10 30 Maluku 39,662 35,029 88.32 29,115 73.41 37,891 26,529 70.01 26,573 70.13 31 North Maluku 25,469 21,320 83.71 19,652 77.16 24,409 16,821 68.91 16,193 66.34 32 West Papua 18,703 14,872 79.52 8,983 48.03 17,853 11,778 65.97 6,388 35.78 33 Papua 61,083 32,712 53.55 12,766 20.90 57,260 14,428 25.20 8,139 14.21

5,191,116 4,945,046 95.26 4,441,623 85.56 4,899,006 4,153,475 84.78 3,599,895 73.48 Source : DG of Nutrition and Maternal and Chilren Health Care, MoH RI

COVERAGE OF 1st AND 4th VISITS OF PREGNANT WOMEN AND DELIVERY ATTENDED BY SKILLED HEALTH PERSONNELBY PROVINCE, 2010

Postpartum Mothers

Indonesia

No ProvincesPregnant Women Delivering Mothers

Annex 4.2

PERCENTAGE OF WOMEN AGE 10-59 YEARS BY PREGNANT WOMEN CARE COVERAGE (K1 AND K4 ) BY LAST PREGNANCY PER PROVINCE, RISKESDAS 2010

1st Visit (K1 ) 4th Visit (K4 ) 1st quarter period Quarter period (1,1,2)

(1) (2) (3) (4) (5)

1 Aceh 94.1 78.4 62.12 North Sumatera 88.0 71.1 51.53 West Sumatera 94.1 64.1 54.74 Riau 88.4 68.3 52.25 Jambi 78.6 50.2 40.56 South Sumatera 90.1 64.9 49.47 Bengkulu 92.1 68.0 55.88 Lampung 94.2 76.0 59.79 Bangka Belitung Island 94.6 76.9 67.4

10 Riau Island 98.4 85.8 77.111 DKI Jakarta 97.9 89.2 84.312 West Java 95.5 75.5 67.213 Central Java 98.1 83.1 74.414 DI Yogyakarta 100.0 91.5 89.015 East Java 96.7 81.5 74.616 Banten 89.8 64.5 54.517 Bali 96.4 85.9 77.818 West Nusa Tenggara 93.0 66.2 53.419 East Nusa Tenggara 85.9 55.4 44.420 West Kalimantan 78.3 63.4 46.721 Central Kalimantan 77.2 47.3 35.522 South Kalimantan 95.0 62.2 48.423 East Kalimantan 91.9 71.1 58.424 North Sulawesi 91.1 62.0 53.025 Central Sulawesi 79.9 48.8 30.126 South Sulawesi 93.1 62.7 44.527 Southeast Sulawesi 82.1 36.5 21.328 Gorontalo 78.1 25.9 19.729 West Sulawesi 87.9 40.7 24.630 Maluku 85.3 52.7 35.131 North Maluku 81.4 41.5 32.532 West Papua 71.3 45.5 34.733 Papua 76.8 54.1 40.1

Indonesia 92.7 72.3 61.4Source: National Board of Health Research and Development, MoH RI, Riskesdas 2010

No Province Access/K1

Pregnant Women Attendance

Annex 4.3

PERCENTAGE OF WOMEN AGE 10-59 YEARS FOR LAST CHILD PREGNANCY BY PERSONNEL HEALTH AND PROVINCE, RISKESDAS 2010

Nurse/mantri

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

1 Aceh 31.7 1.1 61.4 0.5 94.7 0.2 3.1 2.12 North Sumatera 12.5 1.6 74.0 0.7 88.8 0.0 4.9 6.43 West Sumatera 23.1 3.6 67.5 0.4 94.6 0.0 2.3 3.24 Riau 21.6 1.2 65.6 1.5 89.9 0.0 5.6 4.55 Jambi 15.5 1.1 61.9 3.4 81.9 0.0 13.2 4.96 South Sumatera 13.9 2.7 73.5 1.0 91.1 0.0 4.1 4.87 Bengkulu 7.1 0.9 84.1 0.0 92.1 0.0 2.8 5.18 Lampung 7.7 1.2 85.3 0.5 94.7 0.0 3.5 1.99 Bangka Belitung Island 20.3 1.2 73.1 0.0 94.6 0.4 3.5 1.5

10 Riau Island 49.5 1.4 47.6 0.7 99.2 0.0 0.4 0.511 DKI Jakarta 37.4 1.7 58.7 0.1 97.9 0.7 0.4 0.912 West Java 18.9 1.3 75.3 0.3 95.8 0.3 2.4 1.613 Central Java 20.7 1.0 76.4 0.2 98.3 0.2 0.4 1.114 DI Yogyakarta 34.7 2.1 63.2 0.0 100.0 0.0 0.0 0.015 East Java 21.7 1.1 73.8 0.5 97.1 0.3 1.2 1.416 Banten 17.4 1.4 71.0 0.0 89.8 0.2 6.9 3.117 Bali 38.8 1.9 55.8 0.5 97.0 1.0 0.6 1.518 West Nusa Tenggara 8.8 2.9 81.2 1.5 94.4 0.0 2.3 3.219 East Nusa Tenggara 9.8 3.7 72.5 0.7 86.7 0.3 7.5 5.520 West Kalimantan 12.1 0.8 65.3 3.5 81.7 0.3 8.4 9.521 Central Kalimantan 9.3 1.9 65.9 4.0 81.1 0.0 12.3 6.522 South Kalimantan 16.2 2.8 75.9 0.2 95.1 0.3 2.9 1.623 East Kalimantan 32.4 3.6 55.8 1.4 93.2 0.0 3.2 3.524 North Sulawesi 32.6 4.8 53.7 4.7 95.8 0.4 0.8 2.925 Central Sulawesi 7.6 4.1 68.2 5.7 85.6 1.0 5.8 7.526 South Sulawesi 18.2 2.0 73.0 1.7 94.9 0.2 1.3 3.727 Southeast Sulawesi 9.4 2.3 70.4 1.1 83.2 0.0 11.8 5.028 Gorontalo 14.1 2.9 61.1 1.3 79.4 0.7 9.0 11.029 West Sulawesi 9.5 3.7 74.7 0.6 88.5 0.6 6.0 5.030 Maluku 16.6 2.4 66.3 0.5 85.8 0.0 8.8 5.531 North Maluku 13.3 1.4 66.8 0.6 82.1 0.6 8.4 9.032 West Papua 22.8 3.5 45.0 3.9 75.2 0.0 7.6 17.333 Papua 20.1 2.4 54.3 1.4 78.2 0.9 6.3 14.7

Indonesia 19.7 1.7 71.4 0.8 93.6 0.2 3.2 3.0Source: National Board of Health Research and Development, MoH RI, Riskesdas 2010

Healer Never CheckMidwifeNo ProvincesPre Natal Examination by Health Personnel Pre natal

examination by health personnel

OthersPhysicianObstetrician

Annex 4.4

PERCENTAGE OF WOMEN AGE 10-59 YEARS HAD CESARIAN SECTION FOR LAST CHILDIN LAST FIVE YEARS PERIOD BY PROVINCE, RISKESDAS 2010

Yes No(1) (2) (3) (4)

1 Aceh 13.8 86.22 North Sumatera 13.5 86.53 West Sumatera 23.1 76.94 Riau 13.6 86.45 Jambi 11.7 88.36 South Sumatera 10.3 89.77 Bengkulu 11.9 88.18 Lampung 11.3 88.79 Bangka Belitung Island 18.3 81.710 Riau Island 24.7 75.311 DKI Jakarta 27.2 72.812 West Java 15.1 84.913 Central Java 16.6 83.414 DI Yogyakarta 20.8 79.215 East Java 17.0 83.016 Banten 16.8 83.217 Bali 18.3 81.718 West Nusa Tenggara 10.2 89.819 East Nusa Tenggara 12.6 87.420 West Kalimantan 9.3 90.721 Central Kalimantan 8.4 91.622 South Kalimantan 13.4 86.623 East Kalimantan 17.0 83.024 North Sulawesi 18.2 81.825 Central Sulawesi 8.0 92.026 South Sulawesi 14.8 85.227 Southeast Sulawesi 5.5 94.528 Gorontalo 8.3 91.729 West Sulawesi 7.6 92.430 Maluku 15.6 84.431 North Maluku 12.2 87.832 West Papua 10.0 90.033 Papua 9.5 90.5

15.3 84.7Source: National Board of Health Research and Development, MoH RI, Riskesdas 2010

No Provinces Cesarian Section

Indonesia

Annex 4.5

Total % Total %(1) (2) (3) (4) (5) (6) (7)

1 Aceh 776,140 197,755 25.48 593,025 76.41 2 North Sumatera 2,117,695 405,961 19.17 1,429,414 67.50 3 West Sumatera 803,493 146,703 18.26 593,887 73.91 4 Riau 700,926 177,053 25.26 465,378 66.39 5 Jambi 615,826 133,206 21.63 493,416 80.12 6 South Sumatera 1,567,427 459,294 29.30 1,226,532 78.25 7 Bengkulu 376,420 106,515 28.30 338,370 89.89 8 Lampung 1,533,422 501,819 32.73 1,083,224 70.64 9 Bangka Belitung Island 222,837 51,971 23.32 178,546 80.12 10 Riau Island 320,147 61,761 19.29 204,804 63.97 11 DKI Jakarta 1,225,738 439,797 35.88 1,009,579 82.36 12 West Java 8,908,312 1,612,950 18.11 6,758,379 75.87 13 Central Java 6,511,254 997,425 15.32 5,155,761 79.18 14 DI Yogyakarta 544,057 53,376 9.81 430,231 79.08 15 East Java 7,846,174 1,171,619 14.93 5,975,675 76.16 16 Banten 1,927,397 374,253 19.42 1,343,713 69.72 17 Bali 659,546 71,075 10.78 562,484 85.28 18 West Nusa Tenggara 951,998 182,691 19.19 686,176 72.08 19 East Nusa Tenggara 651,940 107,497 16.49 471,059 72.25 20 West Kalimantan 852,929 163,184 19.13 587,963 68.93 21 Central Kalimantan 422,894 79,577 18.82 330,831 78.23 22 South Kalimantan 738,697 152,608 20.66 566,773 76.73 23 East Kalimantan 606,704 99,580 16.41 430,646 70.98 24 North Sulawesi 472,167 102,380 21.68 393,892 83.42 25 Central Sulawesi 489,295 98,211 20.07 380,481 77.76 26 South Sulawesi 1,324,031 342,745 25.89 932,461 70.43 27 Southeast Sulawesi 404,076 75,191 18.61 290,980 72.01 28 Gorontalo 205,877 50,545 24.55 176,261 85.61 29 West Sulawesi 176,491 48,022 27.21 139,241 78.89 30 Maluku 266,194 66,870 25.12 197,589 74.23 31 North Maluku 189,414 38,345 20.24 110,235 58.20 32 West Papua 55,051 26,565 48.26 43,700 79.38 33 Papua 273,809 50,480 18.44 132,409 48.36

44,738,378 8,647,024 19.33 33,713,115 75.36 Source: National Family Planning Coordinating Board

Indonesia

New Family Planning Acceptors Active Family Planning Acceptors

COVERAGE OF NEW FAMILY PLANNING AND ACTIVE FAMILY PLANNING ACCEPTORS

No Provinces Couples of childbearing age

BY PROVINCE, 2010

Annex 4.6

Total % Total % Total % Total % Total % Total % Total %(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17)

1 Aceh 2,438 1.23 644 0.33 22 0.01 33,691 17.04 3,496 1.77 83,222 42.08 74,242 37.54 197,7552 North Sumatera 23,674 5.83 8,612 2.12 2,088 0.51 80,042 19.72 30,279 7.46 124,377 30.64 136,889 33.72 405,9613 West Sumatera 7,391 5.04 1,004 0.68 217 0.15 24,226 16.51 15,532 10.59 65,355 44.55 32,978 22.48 146,7034 Riau 4,205 2.37 1,278 0.72 182 0.10 9,655 5.45 10,503 5.93 91,615 51.74 59,615 33.67 177,0535 Jambi 4,497 3.38 364 0.27 132 0.10 4,364 3.28 10,738 8.06 63,894 47.97 49,217 36.95 133,2066 South Sumatera 8,164 1.78 1,797 0.39 805 0.18 41,560 9.05 39,733 8.65 206,860 45.04 160,375 34.92 459,2947 Bengkulu 3,529 3.31 698 0.66 148 0.14 8,768 8.23 9,902 9.30 50,336 47.26 33,134 31.11 106,5158 Lampung 25,581 5.10 1,252 0.25 1,663 0.33 57,654 11.49 24,913 4.96 200,615 39.98 190,141 37.89 501,8199 Bangka Belitung Island 1,301 2.50 182 0.35 49 0.09 6,167 11.87 2,705 5.20 24,941 47.99 16,626 31.99 51,971

10 Riau Island 1,675 2.71 258 0.42 79 0.13 14,364 23.26 2,472 4.00 23,533 38.10 19,380 31.38 61,76111 DKI Jakarta 47,504 10.80 3,112 0.71 785 0.18 28,493 6.48 14,306 3.25 221,235 50.30 124,362 28.28 439,79712 West Java 120,051 7.44 17,553 1.09 3,645 0.23 54,951 3.41 86,925 5.39 844,636 52.37 485,189 30.08 1,612,95013 Central Java 59,702 5.99 18,290 1.83 3,925 0.39 52,228 5.24 89,436 8.97 579,761 58.13 194,083 19.46 997,42514 DI Yogyakarta 9,261 17.35 1,342 2.51 487 0.91 5,472 10.25 4,525 8.48 27,001 50.59 5,288 9.91 53,37615 East Java 99,981 8.53 16,136 1.38 4,131 0.35 45,112 3.85 63,378 5.41 662,092 56.51 280,789 23.97 1,171,61916 Banten 17,110 4.57 2,137 0.57 696 0.19 21,076 5.63 23,562 6.30 190,647 50.94 119,025 31.80 374,25317 Bali 17,664 24.85 2,150 3.02 274 0.39 5,999 8.44 2,621 3.69 34,595 48.67 7,772 10.93 71,07518 West Nusa Tenggara 15,368 8.41 1,336 0.73 320 0.18 11,003 6.02 16,955 9.28 99,658 54.55 38,051 20.83 182,69119 East Nusa Tenggara 6,990 6.50 3,190 2.97 414 0.39 6,669 6.20 15,525 14.44 59,582 55.43 15,127 14.07 107,49720 West Kalimantan 5,533 3.39 1,068 0.65 121 0.07 24,016 14.72 8,145 4.99 71,143 43.60 53,158 32.58 163,18421 Central Kalimantan 1,248 1.57 389 0.49 114 0.14 5,243 6.59 5,866 7.37 34,899 43.86 31,818 39.98 79,57722 South Kalimantan 2,041 1.34 806 0.53 223 0.15 7,470 4.89 8,110 5.31 63,054 41.32 70,904 46.46 152,60823 East Kalimantan 3,803 3.82 1,130 1.13 178 0.18 12,777 12.83 3,508 3.52 49,904 50.11 28,280 28.40 99,58024 North Sulawesi 5,404 5.28 711 0.69 556 0.54 11,895 11.62 11,019 10.76 47,584 46.48 25,211 24.62 102,38025 Central Sulawesi 3,898 3.97 702 0.71 271 0.28 9,860 10.04 6,626 6.75 39,597 40.32 37,257 37.94 98,21126 South Sulawesi 8,012 2.34 2,163 0.63 432 0.13 49,469 14.43 19,426 5.67 144,488 42.16 118,755 34.65 342,74527 Southeast Sulawesi 1,254 1.67 432 0.57 282 0.38 9,305 12.38 6,952 9.25 29,229 38.87 27,737 36.89 75,19128 Gorontalo 4,180 8.27 394 0.78 224 0.44 4,170 8.25 6,690 13.24 17,459 34.54 17,428 34.48 50,54529 West Sulawesi 1,134 2.36 189 0.39 129 0.27 11,307 23.55 2,292 4.77 12,788 26.63 20,183 42.03 48,02230 Maluku 1,727 2.58 475 0.71 155 0.23 11,378 17.02 4,649 6.95 26,534 39.68 21,952 32.83 66,87031 North Maluku 844 2.20 253 0.66 126 0.33 3,473 9.06 6,693 17.45 16,651 43.42 10,305 26.87 38,34532 West Papua 144 0.54 144 0.54 75 0.28 6,732 25.34 2,003 7.54 10,165 38.26 7,302 27.49 26,56533 Papua 971 1.92 849 1.68 47 0.09 11,576 22.93 2,856 5.66 22,729 45.03 11,452 22.69 50,480

516,279 5.97 91,040 1.05 22,995 0.27 690,165 7.98 562,341 6.50 4,240,179 49.04 2,524,025 29.19 8,647,024Source: National Family Planning Coordinating Board Notes:MOW: Women Operation MethodMOP: Men Operation Method

Implant Injection Pill Total

Indonesia

PERCENTAGE OF NEW FAMILY PLANNING ACCEPTORS BY CONTRACEPTION METHOD AND PROVINCE, 2010

No ProvincesC o n t r a c e p t i o n M e t h o d

IUD MOW MOP Condom

Annex 4.7

Participants % Participants % Participants % Participants % Participants %(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

1 Aceh 123,020 62.21 4,814 2.43 4,088 2.07 65,833 33.29 197,755 100.00 2 North Sumatera 296,175 72.96 35,814 8.82 13,076 3.22 60,896 15.00 405,961 100.00 3 West Sumatera 99,831 68.05 851 0.58 1,808 1.23 44,213 30.14 146,703 100.00 4 Riau 102,339 57.80 3,824 2.16 9,146 5.17 61,744 34.87 177,053 100.00 5 Jambi 89,426 67.13 1,035 0.78 3,669 2.75 39,076 29.34 133,206 100.00 6 South Sumatera 311,433 67.81 26,870 5.85 9,685 2.11 111,306 24.23 459,294 100.00 7 Bengkulu 70,624 66.30 540 0.51 2,836 2.66 32,515 30.53 106,515 100.00 8 Lampung 332,449 66.25 11,443 2.28 8,554 1.70 149,373 29.77 501,819 100.00 9 Bangka Belitung Island 34,471 66.33 249 0.48 751 1.45 16,500 31.75 51,971 100.00

10 Riau Island 33,670 54.52 10,572 17.12 1,709 2.77 15,810 25.60 61,761 100.00 11 DKI Jakarta 163,015 37.07 15,951 3.63 53,138 12.08 207,693 47.22 439,797 100.00 12 West Java 925,127 57.36 105,599 6.55 40,896 2.54 541,328 33.56 1,612,950 100.00 13 Central Java 506,270 50.76 42,590 4.27 34,286 3.44 414,279 41.53 997,425 100.00 14 DI Yogyakarta 20,769 38.91 9,984 18.71 827 1.55 21,796 40.83 53,376 100.00 15 East Java 680,181 58.05 32,752 2.80 28,870 2.46 429,816 36.69 1,171,619 100.00 16 Banten 224,679 60.03 26,924 7.19 10,040 2.68 112,610 30.09 374,253 100.00 17 Bali 27,206 38.28 2,600 3.66 3,021 4.25 38,248 53.81 71,075 100.00 18 West Nusa Tenggara 165,625 90.66 2,707 1.48 1,249 0.68 13,110 7.18 182,691 100.00 19 East Nusa Tenggara 105,266 97.92 250 0.23 448 0.42 1,533 1.43 107,497 100.00 20 West Kalimantan 100,372 61.51 15,007 9.20 6,164 3.78 41,641 25.52 163,184 100.00 21 Central Kalimantan 61,053 76.72 3,934 4.94 1,075 1.35 13,515 16.98 79,577 100.00 22 South Kalimantan 98,881 64.79 2,390 1.57 3,923 2.57 47,414 31.07 152,608 100.00 23 East Kalimantan 51,437 51.65 6,096 6.12 2,540 2.55 39,507 39.67 99,580 100.00 24 North Sulawesi 72,153 70.48 11,571 11.30 4,661 4.55 13,995 13.67 102,380 100.00 25 Central Sulawesi 86,751 88.33 3,767 3.84 1,215 1.24 6,478 6.60 98,211 100.00 26 South Sulawesi 285,298 83.24 7,017 2.05 4,846 1.41 45,584 13.30 342,745 100.00 27 Southeast Sulawesi 67,089 89.22 325 0.43 1,378 1.83 6,399 8.51 75,191 100.00 28 Gorontalo 35,490 70.21 1,525 3.02 477 0.94 13,053 25.82 50,545 100.00 29 West Sulawesi 44,401 92.46 161 0.34 96 0.20 3,364 7.01 48,022 100.00 30 Maluku 57,459 85.93 2,906 4.35 849 1.27 5,656 8.46 66,870 100.00 31 North Maluku 34,249 89.32 2,063 5.38 329 0.86 1,704 4.44 38,345 100.00 32 West Papua 23,759 89.44 2,033 7.65 3 0.01 770 2.90 26,565 100.00 33 Papua 44,744 88.64 2,968 5.88 1,579 3.13 1,189 2.36 50,480 100.00

5,374,712 62.16 397,132 4.59 257,232 2.97 2,617,948 30.28 8,647,024 100.00 Source: National Family Planning Coordinating Board

TotalGovernment Private

Indonesia

PROPORTION OF NEW FAMILY PLANNING ACCEPTORS BY PRACTICE PLACE2010

No ProvincesFamily Planning Clinic Private Practice by

Physician Private Practice by Midwife

Annex 4.8

Total % Total % Total % Total % Total % Total % Total % Total %(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18) (19)

1 Aceh 776,140 593,025 76.41 11,993 2.02 4,479 0.76 187 0.03 11,746 1.98 51,698 8.72 267,195 45.06 245,727 41.44 2 North Sumatera 2,117,695 1,429,414 67.50 146,107 10.22 110,156 7.71 4,746 0.33 127,308 8.91 87,125 6.10 478,007 33.44 475,965 33.30 3 West Sumatera 803,493 593,887 73.91 57,195 9.63 16,657 2.80 575 0.10 77,207 13.00 22,960 3.87 305,672 51.47 113,621 19.13 4 Riau 700,926 465,378 66.39 31,619 6.79 5,364 1.15 1,715 0.37 42,945 9.23 19,152 4.12 208,985 44.91 155,598 33.43 5 Jambi 615,826 493,416 80.12 30,720 6.23 4,000 0.81 1,064 0.22 64,344 13.04 8,235 1.67 203,111 41.16 181,942 36.87 6 South Sumatera 1,567,427 1,226,532 78.25 48,334 3.94 40,930 3.34 4,772 0.39 209,583 17.09 62,590 5.10 505,758 41.23 354,565 28.91 7 Bengkulu 376,420 338,370 89.89 21,344 6.31 6,834 2.02 1,156 0.34 49,052 14.50 10,508 3.11 148,658 43.93 100,818 29.80 8 Lampung 1,533,422 1,083,224 70.64 127,761 11.79 14,535 1.34 13,233 1.22 146,563 13.53 20,729 1.91 394,415 36.41 365,988 33.79 9 Bangka Belitung Island 222,837 178,546 80.12 6,343 3.55 5,027 2.82 144 0.08 15,220 8.52 5,660 3.17 80,858 45.29 65,294 36.57 10 Riau Island 320,147 204,804 63.97 12,325 6.02 2,171 1.06 295 0.14 9,997 4.88 10,338 5.05 96,758 47.24 72,920 35.60 11 DKI Jakarta 1,225,738 1,009,579 82.36 215,333 21.33 36,179 3.58 11,598 1.15 73,590 7.29 29,784 2.95 381,360 37.77 261,735 25.93 12 West Java 8,908,312 6,758,379 75.87 785,631 11.62 160,779 2.38 65,463 0.97 290,891 4.30 76,843 1.14 3,459,360 51.19 1,919,412 28.40 13 Central Java 6,511,254 5,155,761 79.18 427,226 8.29 287,570 5.58 60,062 1.16 487,002 9.45 95,704 1.86 2,935,640 56.94 862,557 16.73 14 DI Yogyakarta 544,057 430,231 79.08 105,690 24.57 21,545 5.01 2,846 0.66 24,666 5.73 25,172 5.85 195,750 45.50 54,562 12.68 15 East Java 7,846,174 5,975,675 76.16 857,569 14.35 304,206 5.09 24,510 0.41 464,560 7.77 75,909 1.27 2,913,591 48.76 1,335,330 22.35 16 Banten 1,927,397 1,343,713 69.72 191,604 14.26 33,492 2.49 15,475 1.15 117,650 8.76 19,300 1.44 621,726 46.27 344,466 25.64 17 Bali 659,546 562,484 85.28 266,299 47.34 21,151 3.76 2,791 0.50 8,392 1.49 15,486 2.75 201,116 35.75 47,249 8.40 18 West Nusa Tenggara 951,998 686,176 72.08 80,004 11.66 15,478 2.26 2,577 0.38 88,653 12.92 12,481 1.82 336,566 49.05 150,417 21.92 19 East Nusa Tenggara 651,940 471,059 72.25 49,589 10.53 19,021 4.04 4,050 0.86 48,676 10.33 10,426 2.21 262,951 55.82 76,346 16.21 20 West Kalimantan 852,929 587,963 68.93 35,997 6.12 8,985 1.53 4,106 0.70 33,493 5.70 19,130 3.25 238,784 40.61 247,468 42.09 21 Central Kalimantan 422,894 330,831 78.23 6,129 1.85 3,280 0.99 456 0.14 30,822 9.32 7,274 2.20 148,937 45.02 133,933 40.48 22 South Kalimantan 738,697 566,773 76.73 10,092 1.78 6,852 1.21 701 0.12 51,795 9.14 12,264 2.16 199,002 35.11 286,067 50.47 23 East Kalimantan 606,704 430,646 70.98 44,090 10.24 9,687 2.25 1,121 0.26 20,677 4.80 9,965 2.31 167,644 38.93 177,462 41.21 24 North Sulawesi 472,167 393,892 83.42 39,295 9.98 8,111 2.06 931 0.24 52,226 13.26 7,354 1.87 141,933 36.03 144,042 36.57 25 Central Sulawesi 489,295 380,481 77.76 20,868 5.48 8,033 2.11 605 0.16 34,425 9.05 9,697 2.55 153,269 40.28 153,584 40.37 26 South Sulawesi 1,324,031 932,461 70.43 41,450 4.45 15,040 1.61 872 0.09 85,631 9.18 56,002 6.01 410,834 44.06 322,632 34.60 27 Southeast Sulawesi 404,076 290,980 72.01 7,266 2.50 5,661 1.95 997 0.34 38,670 13.29 13,237 4.55 114,052 39.20 111,097 38.18 28 Gorontalo 205,877 176,261 85.61 20,853 11.83 2,508 1.42 553 0.31 23,794 13.50 2,920 1.66 65,354 37.08 60,279 34.20 29 West Sulawesi 176,491 139,241 78.89 4,208 3.02 1,154 0.83 198 0.14 8,942 6.42 9,964 7.16 48,850 35.08 65,925 47.35 30 Maluku 266,194 197,589 74.23 6,736 3.41 4,122 2.09 1,030 0.52 19,988 10.12 12,345 6.25 88,660 44.87 64,708 32.75 31 North Maluku 189,414 110,235 58.20 1,755 1.59 2,086 1.89 519 0.47 15,085 13.68 5,988 5.43 43,901 39.82 40,901 37.10 32 West Papua 55,051 43,700 79.38 2,120 4.85 1,410 3.23 85 0.19 1,494 3.42 3,934 9.00 21,799 49.88 12,858 29.42 33 Papua 273,809 132,409 48.36 3,519 2.66 4,608 3.48 313 0.24 9,562 7.22 12,722 9.61 67,869 51.26 33,816 25.54

44,738,378 33,713,115 75.36 3,717,064 11.03 1,191,111 3.53 229,746 0.68 2,784,649 8.26 842,896 2.50 15,908,365 47.19 9,039,284 26.81Source: National Family Planning Coordinating Board

PERCENTAGE OF ACTIVE FAMILY PLANNING ACCEPTORS

C o n t r a c e p t i o n M e t h o d No Provinces

Couples of childbearing

ageIUD MOW MOP

Active Family Planning Acceptors CondomImplant

BY CONTRACEPTION METHOD AND PROVINCE, 2010

Injection Pill

Indonesia

Annex 4.9

PERCENTAGE OF WOMEN THAT MARRIED IN AGE 10-49 YEARS BY FAMILY PLANNING USING STATUS, RISKESDAS 2010

(1) (2) (3) (4) (5)



55.8 25.7 18.4Source: National Board of Health Research and Development, MoH RI, Riskesdas 2010

No Provinces Using Have/had been Never

Indonesia

Lampiran 4.10

Total % Total %(1) (2) (3) (4) (5) (6) (7) (8)1 Aceh 14,570 4,109 28.20 22,717 14,124 62.172 North Sumatera 43,954 892 2.03 64,616 33,093 51.213 West Sumatera 15,886 1,662 10.46 22,818 19,260 84.414 Riau 19,578 3,524 18.00 27,505 10,739 39.045 Jambi 10,400 2,569 24.70 15,391 9,051 58.816 South Sumatera 26,254 3,623 13.80 38,257 21,989 57.487 Bengkulu 6,611 721 10.90 9,610 7,221 75.148 Lampung 25,057 3,443 13.74 37,675 15,292 40.599 Bangka Belitung Island 3,867 247 6.40 5,638 3,230 57.2910 Riau Island 6,049 2,008 33.20 8,587 4,909 57.1711 DKI Jakarta 25,557 7,233 28.30 31,856 22,148 69.5212 West Java 141,692 27,389 19.33 207,814 122,558 58.9713 Central Java 86,924 48,782 56.12 126,445 71,762 56.7514 DI Yogyakarta 6,468 5,323 82.29 9,586 7,923 82.6615 East Java 89,321 58,523 65.52 130,876 93,943 71.7816 Banten 31,734 7,312 23.04 46,276 18,893 40.8317 Bali 9,301 4,915 52.85 13,639 10,032 73.5618 West Nusa Tenggara 16,218 5,157 31.80 23,269 19,352 83.1719 East Nusa Tenggara 17,577 1,874 10.66 25,636 14,676 57.2520 West Kalimantan 15,216 2,535 16.66 21,730 10,920 50.2521 Central Kalimantan 6,832 204 2.98 10,437 3,856 36.9422 South Kalimantan 10,644 2,909 27.33 15,674 10,532 67.1923 East Kalimantan 11,748 8,889 75.67 17,043 8,704 51.0724 North Sulawesi 10,188 2,917 28.63 8,575 4,672 54.4925 Central Sulawesi 7,387 2,279 30.85 10,834 7,102 65.5526 South Sulawesi 26,647 293 1.10 35,875 21,500 59.9327 Southeast Sulawesi 6,850 1,961 28.63 9,506 4,093 43.0628 Gorontalo 4,010 407 10.16 5,853 3,945 67.4029 West Sulawesi 3,329 1,227 36.85 5,500 3,405 61.9030 Maluku 5,183 882 17.01 7,932 2,866 36.1331 North Maluku 3,498 364 10.40 5,094 2,323 45.6032 West Papua 2,510 203 8.10 3,741 1,541 41.2033 Papua 6,457 452 7.00 12,217 5,030 41.17

717,516 214,827 25.23 1,038,223 610,684 58.82Source : DG of Nutrition and Maternal and Chilren Health Care, MoH RI

Indonesia

No Provinces

BY PROVINCE, 2010COVERAGE OF NEONATES CARE WITH COMPLICATION AND OBSTETRIC CARE WITH COMPLICATION

Complication Obstetric

Coverage of Complication Obstetric CareComplication Neonates

Coverage of Complication Neonates Care

Lampiran 4.11

(1) (2) (3) (3) (4) (5) (6)1 Aceh 97,132 89,264 91.90 84,893 87.40 2 North Sumatera 293,028 256,400 87.50 161,752 55.20 3 West Sumatera 105,906 95,580 90.25 89,363 84.38 4 Riau 130,519 117,728 90.20 95,279 73.00 5 Jambi 69,335 62,367 89.95 56,785 81.90 6 South Sumatera 175,026 153,498 87.70 144,747 82.70 7 Bengkulu 44,076 39,188 88.91 31,250 70.90 8 Lampung 167,047 147,502 88.30 107,444 64.32 9 Bangka Belitung Island 25,779 23,730 92.05 24,567 95.30

10 Riau Island 40,324 38,913 96.50 21,533 53.40 11 DKI Jakarta 170,378 160,155 94.00 148,910 87.40 12 West Java 944,611 870,931 92.20 732,074 77.50 13 Central Java 579,494 567,904 98.00 527,340 91.00 14 DI Yogyakarta 43,121 39,671 92.00 35,713 82.82 15 East Java 595,476 577,612 97.00 565,702 95.00 16 Banten 211,561 191,886 90.70 146,527 69.26 17 Bali 62,005 61,528 99.23 60,833 98.11 18 West Nusa Tenggara 108,118 97,955 90.60 80,224 74.20 19 East Nusa Tenggara 117,178 89,758 76.60 64,706 55.22 20 West Kalimantan 101,438 86,324 85.10 63,865 62.96 21 Central Kalimantan 45,546 37,894 83.20 20,906 45.90 22 South Kalimantan 70,958 62,159 87.60 53,382 75.23 23 East Kalimantan 78,318 67,902 86.70 72,421 92.47 24 North Sulawesi 67,922 63,473 93.45 52,402 77.15 25 Central Sulawesi 49,245 39,908 81.04 39,583 80.38 26 South Sulawesi 177,645 152,242 85.70 44,589 25.10 27 Southeast Sulawesi 45,668 39,366 86.20 35,233 77.15 28 Gorontalo 26,734 21,548 80.60 21,558 80.64 29 West Sulawesi 22,195 17,379 78.30 12,391 55.83 30 Maluku 34,550 24,358 70.50 24,185 70.00 31 North Maluku 23,322 10,565 45.30 15,941 68.35 32 West Papua 16,734 7,129 42.60 5,188 31.00 33 Papua 43,048 14,004 32.53 16,444 38.20

4,783,437 4,325,819 84.01 3,657,729 71.50 Source : DG of Nutrition and Maternal and Chilren Health Care, MoH RI

Indonesia

COVERAGE OF NEONATES VISITS BY PROVINCE2010

No ProvincesNeonates Visits

Number of Infants1st Neonates Visits % 1st Neonates Visits

Complete Neonates Visits (KN)

% Complete Neonates Visits

Annex 4.12

PERCENTAGE OF NEONATES VISIT IN UNDERFIVE AGE BY PROVINCE, RISKESDAS 2010

6-48 Hours 3-7 Days 8-28 Days(1) (2) (3) (4) (5)



Indonesia 71.4 61.3 38.0Source: National Board of Health Research and Development, MoH RI, Riskesdas 2010

No Provinces Neonates Visits

Annex 4.13

PERCENTAGE OF COMPLETE NEONATES VISIT (KN1, KN2, KN3 ) IN UNDERFIVE AGE BY PROVINCE, RISKESDAS 2010

Complete Neonates Visit Incomplete Neonates Visit No Neonates Visit(1) (2) (3) (4) (5)




No Provinces Category of Neonates Visit

Indonesia

Annex 4.14

COVERAGE OF INFANT AND UNDERFIVE HEALTH CAREBY PROVINCE, 2010

Total % Total %(1) (2) (3) (4) (5) (6)

1 Aceh 86,739 89.30 428,679 81.04 2 North Sumatera 252,004 86.00 1,045,442 91.81 3 West Sumatera 102,549 96.83 339,970 86.43 4 Riau 116,175 89.01 425,468 71.90 5 Jambi 64,204 92.60 202,097 83.72 6 South Sumatera 150,873 86.20 402,010 71.20 7 Bengkulu 39,316 89.20 121,778 72.00 8 Lampung 151,645 90.78 690,523 77.30 9 Bangka Belitung Island 23,021 89.30 99,739 88.80 10 Riau Island 34,719 86.10 140,396 76.90 11 DKI Jakarta 155,385 91.20 699,316 89.77 12 West Java 850,622 90.05 2,985,831 83.30 13 Central Java 560,487 96.72 1,982,945 89.33 14 DI Yogyakarta 39,973 92.70 199,662 97.69 15 East Java 569,871 95.70 2,101,364 86.40 16 Banten 194,192 91.79 729,127 79.20 17 Bali 60,145 97.00 300,549 85.10 18 West Nusa Tenggara 101,177 93.58 398,640 83.30 19 East Nusa Tenggara 88,118 75.20 16,459 57.70 20 West Kalimantan 85,208 84.00 291,130 62.80 21 Central Kalimantan 37,439 82.20 168,234 71.90 22 South Kalimantan 62,188 87.64 279,403 79.10 23 East Kalimantan 66,962 85.50 336,024 89.03 24 North Sulawesi 62,556 92.10 106,430 82.30 25 Central Sulawesi 39,135 79.47 141,883 68.20 26 South Sulawesi 149,915 84.39 516,555 80.61 27 Southeast Sulawesi 38,694 84.73 167,000 72.70 28 Gorontalo 23,793 89.00 100,071 82.05 29 West Sulawesi 18,866 85.00 37,598 87.64 30 Maluku 24,140 69.87 54,431 66.10 31 North Maluku 13,037 55.90 68,318 64.60 32 West Papua 7,028 42.00 53,080 64.00 33 Papua 13,948 32.40 119,432 53.62

4,284,121 84.04 15,749,585 78.11 Source : DG of Nutrition and Maternal and Chilren Health Care, MoH RI

Coverage of Underfive Age Health Care

Indonesia

No ProvincesCoverage of Infant Health Care

Annex 4.15

BY PROVINCE, 2010

Total %(1) (2) (3) (4) (5)1 Aceh 3,821 1,253 32.792 North Sumatera 4,027 3,016 74.893 West Sumatera 4,444 3,894 87.634 Riau 2,679 2,276 84.965 Jambi 2,790 1,638 58.716 South Sumatera 4,537 2,494 54.977 Bengkulu 1,310 1,034 78.938 Lampung 6,095 619 10.169 Bangka Belitung Island 813 762 93.73

10 Riau Island 697 380 54.5611 DKI Jakarta 2,987 2,489 83.3312 West Java 18,747 16,831 89.7813 Central Java 22,687 15,954 70.3214 DI Yogyakarta 1,786 1,786 100.0015 East Java 24,468 24,468 100.0016 Banten 4,177 3,450 82.6017 Bali 2,460 2,395 97.3618 West Nusa Tenggara 3,544 2,768 78.1019 East Nusa Tenggara 3,693 2,393 64.8020 West Kalimantan 2,959 1,565 52.9021 Central Kalimantan 2,493 1,129 45.3022 South Kalimantan 3,472 1,959 56.4223 East Kalimantan 3,589 1,054 29.3724 North Sulawesi 43,195 27,174 62.9125 Central Sulawesi 1,836 236 12.8326 South Sulawesi 5,839 4,504 77.1327 Southeast Sulawesi 2,244 487 21.7028 Gorontalo 956 729 76.3029 West Sulawesi 1,379 303 22.0030 Maluku 1,799 491 27.2831 North Maluku 692 250 36.0632 West Papua 472 - -33 Papua 2,140 261 12.20

188,827 130,043 58.49Source : DG of Nutrition and Maternal and Chilren Health Care, MoH RI

No Provinces Number of Primary SchoolCoverage of Primary School Performing for

Embracing 1st Class Students

Indonesia

COVERAGE OF PRIMARY SCHOOL PERFORMING FOR EMBRACING 1ST CLASS STUDENTS

Annex 4.16

Total %(1) (2) (3) (4) (5)

1 Aceh 402,420 298,348 74.14 2 North Sumatera 1,088,274 780,890 71.75 3 West Sumatera 501,470 343,203 68.44 4 Riau 734,400 457,451 62.29 5 Jambi 310,367 222,238 71.60 6 South Sumatera 750,935 474,756 63.22 7 Bengkulu 169,710 89,095 52.50 8 Lampung 906,837 594,730 65.58 9 Bangka Belitung Island 145,512 66,683 45.83 10 Riau Island 220,935 115,174 52.13 11 DKI Jakarta 779,009 332,890 42.73 12 West Java 3,584,431 2,668,055 74.43 13 Central Java 2,546,259 2,101,759 82.54 14 DI Yogyakarta 236,104 175,146 74.18 15 East Java 3,041,160 2,363,111 77.70 16 Banten 1,180,053 596,304 50.53 17 Bali 256,148 194,490 75.93 18 West Nusa Tenggara 507,694 374,995 73.86 19 East Nusa Tenggara 520,415 401,942 77.23 20 West Kalimantan 420,263 218,561 52.01 21 Central Kalimantan 227,600 113,970 50.07 22 South Kalimantan 376,569 240,648 63.91 23 East Kalimantan 498,296 179,186 35.96 24 North Sulawesi 158,462 134,518 84.89 25 Central Sulawesi 316,431 136,375 43.10 26 South Sulawesi 755,893 514,034 68.00 27 Southeast Sulawesi 278,962 186,013 66.68 28 Gorontalo 126,533 83,085 65.66 29 West Sulawesi 123,752 68,353 55.23 30 Maluku 197,366 114,154 57.84 31 North Maluku 122,403 57,401 46.90 32 West Papua 82,865 27,538 33.23 33 Papua 237,480 73,607 31.00

21,805,008 14,798,703 67.87 Source : DG of Nutrition and Maternal and Chilren Health Care, MoH RI

Indonesia

COVERAGE OF UNDERFIVE WEIGHTEDBY PROVINCE, 2010

No Provinces Number of UnderfiveNumber of Underfive Weighted (D/S)

Annex 4.17

≥ 4 times 1–3 times Never(1) (2) (3) (4) (5)

1 Aceh 32.7 39.5 27.82 North Sumatera 23.3 32.6 44.13 West Sumatera 49.1 30.4 20.44 Riau 34.9 31.0 34.15 Jambi 21.2 41.6 37.26 South Sumatera 25.3 26.5 48.17 Bengkulu 32.8 20.7 46.68 Lampung 37.0 30.8 32.29 Bangka Belitung Island 42.1 28.6 29.410 Riau Island 40.4 38.2 21.311 DKI Jakarta 53.7 32.2 14.112 West Java 61.4 25.4 13.113 Central Java 66.3 20.9 12.814 DI Yogyakarta 86.8 10.8 2.515 East Java 61.8 23.8 14.416 Banten 45.9 33.3 20.917 Bali 58.3 23.8 17.918 West Nusa Tenggara 52.5 28.8 18.819 East Nusa Tenggara 62.1 17.3 20.620 West Kalimantan 30.9 17.3 51.921 Central Kalimantan 26.7 27.6 45.722 South Kalimantan 38.9 31.1 30.123 East Kalimantan 38.0 30.5 31.524 North Sulawesi 43.8 32.2 24.025 Central Sulawesi 23.6 27.4 48.926 South Sulawesi 35.8 29.4 34.827 Southeast Sulawesi 22.0 22.0 56.128 Gorontalo 43.8 26.0 30.129 West Sulawesi 23.3 32.2 44.430 Maluku 30.4 29.7 39.931 North Maluku 36.0 26.3 37.732 West Papua 46.9 24.7 28.433 Papua 31.3 28.0 40.7


PERCENTAGE OF WEIGHING FREQUENCY OF CHILDREN AGE 6-59 MONTHS DURING LAST SIX MONTHSBY PROVINCE, RISKESDAS 2010

Indonesia

No Provinces Weighing Frequency

Annex 4.18

COVERAGE OF EXCLUSIVE BREAST FEEDING FOR INFANT AGE 0-5 MONTHSBY PROVINCE, 2009

(1) (2) (3)

1 Aceh 52.22 North Sumatera 55.13 West Sumatera 71.24 Riau 57.35 Jambi 63.56 South Sumatera 64.47 Bengkulu 75.88 Lampung 55.19 Bangka Belitung Island 62.0

10 Riau Island 56.811 DKI Jakarta 58.712 West Java 64.113 Central Java 52.214 DI Yogyakarta 63.415 East Java 48.816 Banten 58.617 Bali 54.318 West Nusa Tenggara 78.319 East Nusa Tenggara 75.220 West Kalimantan 52.721 Central Kalimantan 63.222 South Kalimantan 65.123 East Kalimantan 66.324 North Sulawesi 54.825 Central Sulawesi 62.526 South Sulawesi 70.227 Southeast Sulawesi 62.528 Gorontalo 57.529 West Sulawesi 73.430 Maluku 68.431 North Maluku 61.732 West Papua 59.833 Papua 67.2

61.3Sumber : BPS-Statistics Indonesia, National Survey of Social and Economic 2009

No Provinces

Indonesia

Coverage of Exclusive Breast Feeding for Infant 0-5 Months

Annex 4.19

PERCENTAGE OF CHILDREN AGE 0-23 MONTHS WHO HAVE/HAD BEEN BREASTFEEDING BY PROVINCE, RISKESDAS 2010

Had been breastfed Still breastfed(1) (2) (3) (4)

1 Aceh 87,8 82,12 North Sumatera 88,9 74,93 West Sumatera 95,4 84,04 Riau 85,5 76,65 Jambi 93,3 78,46 South Sumatera 90,5 75,37 Bengkulu 90,0 81,58 Lampung 95,7 80,69 Bangka Belitung Island 89,1 65,3

10 Riau Island 86,4 64,311 DKI Jakarta 85,4 70,312 West Java 91,1 84,513 Central Java 93,9 85,014 DI Yogyakarta 94,0 72,615 East Java 88,8 79,816 Banten 89,0 80,417 Bali 92,0 76,018 West Nusa Tenggara 91,4 82,819 East Nusa Tenggara 86,9 82,020 West Kalimantan 89,3 80,721 Central Kalimantan 91,6 79,222 South Kalimantan 88,3 78,823 East Kalimantan 90,3 72,724 North Sulawesi 89,4 71,225 Central Sulawesi 91,9 78,826 South Sulawesi 90,0 81,827 Southeast Sulawesi 92,7 84,228 Gorontalo 87,8 83,829 West Sulawesi 89,4 78,630 Maluku 94,7 64,831 North Maluku 83,0 84,132 West Papua 89,4 73,833 Papua 84,8 75,8

90,3 80,1Source : DG of Nutrition and Maternal and Chilren Health Care, MoH RI

Indonesia

Children Age 0-23 MonthsNo Provinces

Annex 4.20

6-11 months 12 - 59 months Total % Total % Total %(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

1 Aceh 135,671 409,244 100,486 74,167 54.67 291,239 71.17 68,735 68.40 2 North Sumatera 727,918 1,620,800 307,891 532,046 73.09 1,230,983 75.95 17,193 5.58 3 West Sumatera 129,740 393,346 103,720 107,880 83.15 346,431 88.07 76,919 74.16 4 Riau 213,570 601,743 119,660 145,411 68.09 441,888 73.43 102,703 85.83 5 Jambi 73,532 234,518 73,132 66,488 90.42 201,774 86.04 62,924 86.04 6 South Sumatera 217,528 626,707 191,863 180,656 83.05 527,967 84.24 154,854 80.71 7 Bengkulu 63,364 131,093 45,815 42,274 66.72 103,765 79.15 34,816 75.99 8 Lampung 213,127 732,026 - 150,167 70.46 466,109 63.67 - - 9 Bangka Belitung Island 26,890 102,052 26,931 24,986 92.92 86,476 84.74 24,707 91.74

10 Riau Island 41,851 171,663 41,091 36,883 88.13 107,855 62.83 20,296 49.39 11 DKI Jakarta 331,239 608,631 144,802 136,951 41.35 367,004 60.30 130,380 90.04 12 West Java 962,858 3,117,605 991,842 875,327 90.91 2,742,248 87.96 776,766 78.32 13 Central Java 641,850 2,031,953 591,438 636,538 99.17 1,999,216 98.39 542,461 91.72 14 DI Yogyakarta 57,271 190,167 44,323 52,200 91.15 177,218 93.19 38,474 86.80 15 East Java 901,992 2,404,679 - 869,637 96.41 2,011,505 83.65 - - 16 Banten 229,186 839,593 221,436 213,402 93.11 714,581 85.11 138,665 62.62 17 Bali 67,848 207,635 65,066 60,227 88.77 201,852 97.21 59,497 91.44 18 West Nusa Tenggara 116,950 397,814 - 101,430 86.73 356,198 89.54 - - 19 East Nusa Tenggara 128,134 413,647 122,330 102,707 80.16 332,610 80.41 74,857 61.19 20 West Kalimantan 172,107 401,488 103,651 107,923 62.71 295,268 73.54 79,314 76.52 21 Central Kalimantan 69,556 198,220 49,492 48,193 69.29 140,441 70.85 40,091 81.01 22 South Kalimantan 81,916 295,620 74,251 72,902 89.00 256,972 86.93 58,671 79.02 23 East Kalimantan 104,680 351,927 82,045 76,618 73.19 238,141 67.67 57,443 70.01 24 North Sulawesi 73,539 265,419 40,440 61,998 84.31 231,041 87.05 31,436 77.73 25 Central Sulawesi 74,358 211,436 51,709 63,612 85.55 180,230 85.24 26,145 50.56 26 South Sulawesi 205,182 604,395 171,221 191,596 93.38 522,209 86.40 147,995 86.44 27 Southeast Sulawesi 62,206 200,463 42,786 38,574 62.01 130,994 65.35 34,673 81.04 28 Gorontalo 21,494 89,690 26,296 16,658 77.50 71,111 79.29 21,964 83.53 29 West Sulawesi 36,479 103,581 26,251 33,365 91.46 85,482 82.53 18,981 72.31 30 Maluku 70,408 180,861 37,891 32,689 46.43 68,330 37.78 26,134 68.97 31 North Maluku 34,788 110,867 24,409 20,608 59.24 58,104 52.41 14,599 59.81 32 West Papua 14,424 53,660 17,853 10,319 71.54 18,207 33.93 7,104 39.79 33 Papua 92,430 212,515 57,260 41,004 44.36 65,330 30.74 7,848 13.71

6,394,086 18,515,058 3,997,381 5,225,436 81.72 15,068,779 81.39 2,896,645 72.46 Source : DG of Nutrition and Maternal and Chilren Health Care, MoH RI

COVERAGE OF VITAMIN A CAPSULE DISTRIBUTION FOR UNDERFIVE AND POSTPARTUM MOTHERSBY PROVINCE, 2010

UnderfivesTarget Vitamin A Coverage

Infants 6-11 months

Indonesia

No Provinces Underfives 12-59 monthsPostpartum Mothers

Postpartum Mothers

Annex 4.21

Total %(1) (2) (3) (4) (5)

1 Aceh 109,510 92,198 84.19 2 North Sumatera 684,701 486,146 71.00 3 West Sumatera 113,882 88,557 77.76 4 Riau 140,049 128,713 91.91 5 Jambi 82,100 59,421 72.38 6 South Sumatera 188,839 119,603 63.34 7 Bengkulu 48,834 37,694 77.19 8 Lampung 166,002 129,713 78.14 9 Bangka Belitung Island 27,571 25,944 94.10 10 Riau Island 44,803 30,084 67.15 11 DKI Jakarta 159,281 128,151 80.46 12 West Java 1,054,741 865,560 82.06 13 Central Java 536,228 421,632 78.63 14 DI Yogyakarta 45,751 39,096 85.45 15 East Java 665,150 325,848 48.99 16 Banten 231,382 183,658 79.37 17 Bali 68,193 61,375 90.00 18 West Nusa Tenggara 117,285 98,393 83.89 19 East Nusa Tenggara 126,510 83,458 65.97 20 West Kalimantan 103,782 82,025 79.04 21 Central Kalimantan 53,752 23,050 42.88 22 South Kalimantan 77,336 66,842 86.43 23 East Kalimantan 84,273 58,631 69.57 24 North Sulawesi 42,730 35,445 82.95 25 Central Sulawesi 58,513 39,586 67.65 26 South Sulawesi 184,312 64,509 35.00 27 Southeast Sulawesi 58,736 40,469 68.90 28 Gorontalo 27,099 14,683 54.18 29 West Sulawesi 27,342 17,152 62.73 30 Maluku 39,587 19,687 49.73 31 North Maluku 25,704 8,312 32.34 32 West Papua 18,265 5,096 27.90 33 Papua 60,176 13,583 22.57

5,472,419 3,894,314 71.16 Source : DG of Nutrition and Maternal and Chilren Health Care, MoH RI

Indonesia

COVERAGE OF 90 IRON TABLET DISTRIBUTION (Fe 3) FOR PREGNANT WOMEN BY PROVINCE, 2010

No Provinces Number of Pregnant Women

Pregnant Women got Fe3

(1) (2) (3)

1 Aceh 66.22 North Sumatera 53.73 West Sumatera 71.64 Riau 58.95 Jambi 63.76 South Sumatera 55.77 Bengkulu 65.48 Lampung 65.59 Bangka Belitung Island 81.4

10 Riau Island 67.311 DKI Jakarta 72.912 West Java 75.713 Central Java 78.614 DI Yogyakarta 91.115 East Java 78.716 Banten 69.317 Bali 58.518 West Nusa Tenggara 70.719 East Nusa Tenggara 62.320 West Kalimantan 50.921 Central Kalimantan 59.722 South Kalimantan 70.123 East Kalimantan 72.724 North Sulawesi 74.325 Central Sulawesi 53.526 South Sulawesi 69.927 Southeast Sulawesi 61.328 Gorontalo 68.929 West Sulawesi 53.530 Maluku 50.431 North Maluku 49.632 West Papua 49.333 Papua 55

69.8Source: National Board of Health Research and Development, MoH RI, Riskesdas 2010

Indonesia

Annex 4.22

PERCENTAGE OF CHILDREN AGE 6-59 MONTHS HAVING VITAMIN A CAPSULEDURING LAST SIX MONTHS BY PROVINCE, RISKESDAS 2010

No Provinces Had Vitamin A Capsule

Annex 4.23

PERCENTAGE OF POPULATION BY ENERGY SUFFICIENCY AND PROTEIN CONSUMPTIONRISKESDAS 2010

Average SD < 70% Average SD < 80%(1) (2) (3) (4) (5) (6) (7) (8)

1 Aceh 83.4 28.3 39.6 120.2 62.6 25.62 North Sumatera 83.2 30.1 43.4 129.6 74.0 21.43 West Sumatera 90.6 31.8 31.0 114.5 56.0 28.54 Riau 83.9 28.8 39.3 116.5 64.1 30.85 Jambi 90.0 32.6 33.9 121.6 65.2 25.86 South Sumatera 80.2 26.7 45.4 97.6 48.2 42.47 Bengkulu 82.5 29.0 42.3 101.1 46.9 36.58 Lampung 82.6 28.9 43.3 96.3 49.6 44.79 Bangka Belitung Island 84.8 28.0 37.1 131.2 62.2 18.010 Riau Island 88.8 31.7 32.2 121.7 59.0 23.511 DKI Jakarta 84.9 30.2 39.9 112.8 68.3 30.712 West Java 80.7 26.9 44.3 98.5 48.7 41.913 Central Java 81.3 28.1 44.3 95.6 47.8 44.514 DI Yogyakarta 81.7 26.9 40.9 95.2 45.6 43.715 East Java 87.5 31.7 36.8 104.9 57.5 37.516 Banten 88.2 30.6 34.2 111.7 58.2 31.617 Bali 91.2 31.2 30.9 121.9 70.7 27.418 West Nusa Tenggara 80.7 27.9 46.7 103.6 52.4 36.619 East Nusa Tenggara 87.1 32.7 38.4 89.1 57.7 56.020 West Kalimantan 83.1 30.3 43.7 102.7 56.3 41.221 Central Kalimantan 87.4 32.5 39.0 108.1 53.2 33.722 South Kalimantan 85.1 30.5 39.3 116.4 60.8 28.023 East Kalimantan 84.0 30.0 41.3 114.9 57.1 30.224 North Sulawesi 90.9 34.4 35.7 115.8 58.6 30.725 Central Sulawesi 86.5 32.7 40.6 104.1 61.6 42.326 South Sulawesi 83.3 29.9 43.4 121.9 66.4 27.227 Southeast Sulawesi 84.8 32.9 45.5 114.2 70.8 31.928 Gorontalo 86.6 32.8 40.4 113.6 59.5 27.729 West Sulawesi 82.3 30.1 46.7 110.4 57.1 32.530 Maluku 84.7 29.2 38.4 91.8 46.0 47.831 North Maluku 85.4 32.1 41.9 91.4 52.4 49.032 West Papua 82.9 29.5 42.8 110.2 72.4 36.333 Papua 83.6 28.9 39.7 96.3 52.8 46.1

84.2 29.7 40.7 105.8 57.4 37.0Source: National Board of Health Research and Development, MoH RI, Riskesdas 2010

• Energy consumption under minimal need (< 70% based on Nutrition Sufficiency 2004 for Indonesia people)• Protein consumption under minimal need (< 80% based on Nutrition Sufficiency 2004 for Indonesia people)• SD = Standard Deviation

Energy Sufficiency Protein Consumption

Indonesia

No Provinces

Annex 4.24

Number of Village UCI Village % Number of

Village UCI Village % Number of Village UCI Village %

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

1 Aceh 6,483 1,841 28.40 6,436 2,444 37.97 6,471 3,408 52.672 North Sumatera 5,772 4,079 70.67 5,978 4,150 69.42 5,771 3,997 69.263 West Sumatera 3,380 2,297 67.96 3,437 3,284 95.55 3,437 3,335 97.034 Riau 1,559 1,171 75.11 1,642 935 56.94 1,642 925 56.335 Jambi 1,271 1,095 86.15 1,329 1,116 83.97 1,363 1,215 89.146 South Sumatera 251 235 93.63 3,103 2,559 82.47 3,108 2,637 84.857 Bengkulu 1,325 1,054 79.55 1,461 1,114 76.25 1,463 1,143 78.138 Lampung 2,310 1,511 65.41 2,247 1,008 44.86 2,401 2,048 85.309 Bangka Belitung Island 36 31 82.98 346 311 89.88 359 329 91.64

10 Riau Island 317 222 65.55 333 222 66.67 351 223 63.5311 DKI Jakarta 282 234 86.83 267 267 100.00 267 265 99.2512 West Java 6,000 3,933 94.52 5,877 4,754 80.89 5,880 4,858 82.6213 Central Java 8,560 7,433 75.05 8,559 7,886 92.14 8,287 7,791 94.0114 DI Yogyakarta 438 414 69.54 438 432 98.63 438 438 100.0015 East Java 1,407 1,056 71.77 8,505 6,842 80.45 8,507 6,453 75.8616 Banten 1,504 875 72.21 1,454 986 67.81 1,510 1,238 81.9917 Bali 707 705 76.95 715 712 99.58 716 714 99.7218 West Nusa Tenggara 885 793 76.38 897 823 91.75 911 844 92.6519 East Nusa Tenggara 2,813 1,968 74.72 2,813 2,194 78.00 2,817 1,916 68.0220 West Kalimantan 1,520 1,057 81.78 1,858 1,161 62.49 1,873 1,134 60.5421 Central Kalimantan 1,456 1,045 65.86 1,479 1,012 68.42 1,492 1,160 77.7522 South Kalimantan 1,965 1,419 99.72 1,958 1,377 70.33 1,983 1,382 69.6923 East Kalimantan 1,410 1,085 89.60 1,417 828 58.43 1,417 895 63.1624 North Sulawesi 1,435 1,096 69.96 1,546 1,097 70.96 1,395 898 64.3725 Central Sulawesi 1,634 1,221 53.51 1,710 1,189 69.53 1,778 1,063 59.7926 South Sulawesi 2,898 2,370 21.30 2,941 2,459 83.61 2,947 2,420 82.1227 Southeast Sulawesi 1,939 1,277 58.18 1,989 768 38.61 2,028 1,422 70.1228 Gorontalo 601 371 49.22 606 399 65.84 622 382 61.4129 West Sulawesi 543 196 61.73 558 235 42.11 604 396 65.5630 Maluku 1,069 572 86.11 893 579 64.84 953 696 73.0331 North Maluku 967 476 14.35 967 499 51.60 1,033 523 50.6332 West Papua 683 98 70.03 1,253 265 21.15 1,106 443 40.0533 Papua 2,361 503 36.10 3,380 782 23.14 1,060 635 59.91

65,781 43,733 66.48 78,392 54,689 69.76 75,990 57,226 75.31Source: DG of Disease Control and Environmental Health, MoH RI

Indonesia

COVERAGE OF UNIVERSAL CHILD IMMUNIZATION (UCI) VILLAGE BY PROVINCE 2008 - 2010

No Provinces2008 2009 2010

Annex 4.25

Total % Total % Total % Total % Total % Total %(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

1 Aceh 105,179 93,664 89.05 59,632 56.70 92,694 88.13 86,627 82.36 89,359 84.96 85,442 81.232 North Sumatera 318,459 303,553 95.32 203,697 63.96 307,235 96.48 292,467 91.84 296,251 93.03 297,046 93.283 West Sumatera 105,391 90,753 86.11 63,821 60.56 91,809 87.11 85,987 81.59 84,243 79.93 82,529 78.314 Riau 133,569 124,549 93.25 79,821 59.76 126,276 94.54 123,246 92.27 121,645 91.07 121,565 91.015 Jambi 72,531 74,217 102.32 58,543 80.71 75,286 103.80 73,748 101.68 73,893 101.88 75,281 103.796 South Sumatera 175,904 173,409 98.58 117,888 67.02 177,104 100.68 173,739 98.77 172,289 97.94 171,987 97.777 Bengkulu 41,010 40,154 97.91 27,341 66.67 40,788 99.46 39,014 95.13 38,437 93.73 40,437 98.608 Lampung 167,091 156,940 93.92 112,440 67.29 159,590 95.51 158,485 94.85 152,308 91.15 156,548 93.699 Bangka Belitung Island 22,520 24,857 110.38 22,657 100.61 25,027 111.13 24,094 106.99 23,893 106.10 24,662 109.51

10 Riau Island 39,936 37,320 93.45 29,560 74.02 39,631 99.24 38,934 97.49 37,511 93.93 38,479 96.3511 DKI Jakarta 166,834 177,467 106.37 123,448 73.99 179,255 107.45 175,952 105.47 177,050 106.12 165,314 99.0912 West Java 939,420 946,038 100.70 783,953 83.45 941,049 100.17 917,853 97.70 883,117 94.01 892,652 95.0213 Central Java 579,053 581,099 100.35 546,932 94.45 579,205 100.03 568,389 98.16 550,622 95.09 557,971 96.3614 DI Yogyakarta 43,625 44,801 102.70 41,785 95.78 43,859 100.54 43,059 98.70 42,779 98.06 43,662 100.0815 East Java 595,104 608,000 102.17 537,270 90.28 609,766 102.46 595,019 99.99 590,937 99.30 580,727 97.5816 Banten 209,167 203,130 97.11 164,852 78.81 208,732 99.79 199,881 95.56 201,122 96.15 201,338 96.2617 Bali 62,006 62,120 100.18 59,338 95.70 63,632 102.62 61,407 99.03 61,458 99.12 61,787 99.6518 West Nusa Tenggara 105,250 109,449 103.99 101,844 96.76 113,920 108.24 111,832 106.25 111,754 106.18 109,061 103.6219 East Nusa Tenggara 128,907 103,083 79.97 59,188 45.92 105,257 81.65 100,131 77.68 100,165 77.70 102,613 79.6020 West Kalimantan 101,397 91,280 90.02 51,390 50.68 92,410 91.14 87,810 86.60 85,818 84.64 86,394 85.2021 Central Kalimantan 46,459 46,419 99.91 20,640 44.43 46,050 99.12 44,182 95.10 43,390 93.39 44,254 95.2522 South Kalimantan 70,725 65,503 92.62 40,414 57.14 64,999 91.90 61,241 86.59 60,886 86.09 60,013 84.8523 East Kalimantan 76,422 71,411 93.44 49,306 64.52 72,981 95.50 69,814 91.35 67,880 88.82 68,743 89.9524 North Sulawesi 46,587 43,094 92.50 24,633 52.88 41,914 89.97 39,381 84.53 41,013 88.04 39,554 84.9025 Central Sulawesi 53,890 50,175 93.11 28,223 52.37 49,667 92.16 46,741 86.73 47,236 87.65 45,972 85.3126 South Sulawesi 166,454 161,026 96.74 132,135 79.38 163,040 97.95 157,507 94.62 157,844 94.83 155,115 93.1927 Southeast Sulawesi 52,338 51,100 97.63 18,047 34.48 49,186 93.98 43,866 83.81 43,546 83.20 43,711 83.5228 Gorontalo 26,465 25,310 95.64 19,073 72.07 24,996 94.45 24,764 93.57 24,977 94.38 23,822 90.0129 West Sulawesi 24,766 22,845 92.24 12,283 49.60 23,160 93.52 21,754 87.84 22,412 90.50 22,694 91.6330 Maluku 38,106 32,679 85.76 14,944 39.22 34,097 89.48 31,403 82.41 31,286 82.10 31,996 83.9731 North Maluku 23,581 20,667 87.64 9,239 39.18 21,848 92.65 20,445 86.70 20,432 86.65 19,959 84.6432 West Papua 18,943 13,862 73.18 6,121 32.31 14,646 77.32 12,760 67.36 12,189 64.35 12,945 68.3433 Papua 50,454 37,260 73.85 16,775 33.25 39,926 79.13 32,723 64.86 31,245 61.93 36,183 71.71

4,807,543 4,687,234 97.50 3,637,233 75.66 4,719,035 98.16 4,564,255 94.94 4,498,987 93.58 4,500,456 93.61Source: DG of Disease Control and Environmental Health, MoH RI

HB0 DPT/HB(1) DPT/HB(3) POLIO4 Measles

Indonesia

COVERAGE OF INFANTS BASIC IMMUNIZATION

BY PROVINCE, 2010

No Provinces TargetImmunization in Infants

BCG

Annex 4.26

PERCENTAGE OF CHILDREN AGE 12-23 MONTHS GETTING BASIC IMMUNIZATION BY PROVINCE,RISKESDAS 2010

BCG Polio 4 DPT-HB3 Measles(1) (2) (3) (4) (5) (6)

1 Aceh 57.3 52.4 40.2 62.22 North Sumatera 56.9 49.6 43.5 58.13 West Sumatera 71.8 63.5 51.0 66.34 Riau 63.3 53.9 50.0 61.75 Jambi 78.6 72.9 65.7 72.56 South Sumatera 72.1 57.4 53.9 73.67 Bengkulu 74.2 62.1 51.6 73.38 Lampung 80.6 77.4 72.9 83.59 Bangka Belitung Island 87.1 77.4 72.4 76.7

10 Riau Island 89.7 84.6 79.5 92.111 DKI Jakarta 89.3 68.6 62.5 76.712 West Java 80.9 67.2 61.4 72.813 Central Java 90.1 80.2 77.5 86.214 DI Yogyakarta 100.0 96.4 96.4 96.415 East Java 83.0 77.3 74.2 81.616 Banten 76.3 64.5 57.7 69.317 Bali 83.6 78.6 72.7 83.618 West Nusa Tenggara 90.1 70.3 69.2 87.019 East Nusa Tenggara 75.2 45.3 41.9 76.120 West Kalimantan 63.9 58.3 57.7 60.421 Central Kalimantan 81.0 64.3 62.8 83.322 South Kalimantan 76.3 67.1 60.0 70.023 East Kalimantan 83.3 73.1 70.5 80.824 North Sulawesi 86.7 73.3 70.0 90.025 Central Sulawesi 60.0 49.2 44.6 62.126 South Sulawesi 77.6 65.2 57.8 77.027 Southeast Sulawesi 65.3 50.0 44.9 66.728 Gorontalo 72.7 56.5 52.2 68.229 West Sulawesi 60.7 46.4 35.7 57.130 Maluku 76.7 58.6 56.7 63.331 North Maluku 64.3 55.2 57.1 65.532 West Papua 65.2 50.0 45.5 73.933 Papua 53.6 40.5 36.5 47.1

77.9 66.7 61.9 74.4Source: National Board of Health Research and Development, MoH RI, Riskesdas 2010

No Provinces Basic Immunization

Indonesia

Complete Incomplete No Immunization(1) (2) (3) (4) (5)

1 Aceh 37.0 42.0 21.0 2 North Sumatera 33.3 43.1 23.6 3 West Sumatera 48.1 32.7 19.2 4 Riau 37.5 37.5 25.0 5 Jambi 60.9 20.3 18.8 6 South Sumatera 44.7 39.7 15.6 7 Bengkulu 46.7 36.7 16.7 8 Lampung 65.4 25.6 9.0 9 Bangka Belitung Island 60.0 26.7 13.3

10 Riau Island 74.4 20.5 5.1 11 DKI Jakarta 53.2 41.1 5.7 12 West Java 52.3 37.2 10.4 13 Central Java 69.0 27.3 3.8 14 DI Yogyakarta 91.1 8.9 0.015 East Java 66.0 25.8 8.2 16 Banten 48.8 38.6 12.6 17 Bali 66.1 28.6 5.4 18 West Nusa Tenggara 62.6 34.1 3.3 19 East Nusa Tenggara 33.3 53.0 13.7 20 West Kalimantan 52.1 19.8 28.1 21 Central Kalimantan 54.8 33.3 11.9 22 South Kalimantan 52.5 27.5 20.0 23 East Kalimantan 64.1 25.6 10.3 24 North Sulawesi 65.5 31.0 3.4 25 Central Sulawesi 35.4 38.5 26.2 26 South Sulawesi 50.9 38.5 10.6 27 Southeast Sulawesi 37.5 41.7 20.8 28 Gorontalo 54.5 22.7 22.7 29 West Sulawesi 32.1 39.3 28.6 30 Maluku 46.7 36.7 16.7 31 North Maluku 44.8 27.6 27.6 32 West Papua 39.1 43.5 17.4 33 Papua 28.2 36.5 35.3

53.8 33.5 12.7 Source: National Board of Health Research and Development, MoH RI, Riskesdas 2010

Indonesia

Annex 4.27

BY PROVINCE, RISKESDAS 2010

No Provinces Completeness of Basic Immunization

PERCENTAGE OF CHILDREN AGE 12-23 MONTHS GETTING COMPLETE BASIC IMMUNIZATION

Annex 4.28

DROP OUT RATE OF IMMUNIZATION COVERAGE DPT-HB1 - MEASLES IN INFANTS BY PROVINCE

DPT-HB1-Measles DPT-HB1 - DPT-HB3(1) (2) (3) (4) (5) (6) (7)

1 Aceh 21.6 13.2 6.7 7.8 6.5 2 North Sumatera 1.3 4.4 5.3 3.3 4.8 3 West Sumatera 15.0 7.8 8.9 10.1 6.3 4 Riau 7.2 6.8 7.8 3.7 2.4 5 Jambi 7.8 5.5 3.6 0.0 2.0 6 South Sumatera 6.9 4.7 5.8 2.9 1.9 7 Bengkulu 17.8 4.9 3.0 0.9 4.3 8 Lampung (1.1) 2.7 9.1 1.9 0.7 9 Bangka Belitung Island 4.0 7.3 3.9 1.5 3.7

10 Riau Island 10.7 9.6 5.5 2.9 1.8 11 DKI Jakarta 0.6 8.2 6.9 7.8 1.8 12 West Java 5.7 4.7 4.3 5.1 2.5 13 Central Java 4.3 3.2 4.2 3.7 1.9 14 DI Yogyakarta (0.8) (0.8) (1.0) 0.4 1.8 15 East Java 5.9 4.3 4.3 4.8 2.4 16 Banten 1.4 5.4 6.2 3.5 4.2 17 Bali 4.5 10.8 2.1 2.9 3.5 18 West Nusa Tenggara 4.0 3.1 4.0 4.3 1.8 19 East Nusa Tenggara 22.7 11.6 1.2 2.5 4.9 20 West Kalimantan 13.1 5.1 8.3 6.5 5.0 21 Central Kalimantan 3.3 5.4 5.5 3.9 4.1 22 South Kalimantan 7.0 6.1 5.7 7.7 5.8 23 East Kalimantan 4.3 7.8 7.3 5.8 4.3 24 North Sulawesi 10.6 4.5 4.3 5.6 6.0 25 Central Sulawesi 11.0 8.2 7.0 7.4 5.9 26 South Sulawesi 4.2 5.4 4.1 4.9 3.4 27 Southeast Sulawesi 5.8 6.4 9.5 11.1 10.8 28 Gorontalo 6.8 7.1 2.8 4.7 0.9 29 West Sulawesi (1.5) 9.8 12.2 2.0 6.1 30 Maluku 3.4 8.6 15.8 6.2 7.9 31 North Maluku 7.2 13.9 3.3 8.6 6.4 32 West Papua 19.8 19.9 6.3 11.6 12.9 33 Papua 21.6 13.8 3.8 9.4 18.0

6.1 5.4 5.2 4.6 3.3 Source: DG of Disease Control and Environmental Health, MoH RI

2007 - 2010

Indonesia

No ProvincesYear

20102007 2008 2009

Annex 4.29

COVERAGE OF STUDENTS IMMUNIZATIONBY PROVINCE, 2010

1st Class 2nd Class 3rd Class2nd + 3rd

ClassTotal % Total % Total % Total % Total %

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16)

1 Aceh 105,472 104,126 105,230 209,356 79,515 75.4 91,427 86.7 92,291 88.6 96,062 91.3 188,353 90.02 North Sumatera 330,560 310,253 301,857 612,110 258,895 78.3 321,870 97.4 302,964 97.7 295,826 98.0 598,790 97.83 West Sumatera 121,345 120,994 114,132 235,126 107,656 88.7 111,825 93.0 120,121 99.3 104,292 91.4 224,413 95.44 Riau 151,637 142,224 137,546 417,147 127,561 84.1 132,204 87.2 129,052 90.7 122,314 88.9 242,144 58.05 Jambi 78,754 74,144 70,967 145,111 75,430 95.8 75,441 95.8 71,487 96.4 69,263 97.6 140,750 97.06 South Sumatera 190,466 175,603 167,207 342,810 183,965 96.6 178,769 93.9 171,308 97.6 163,046 97.5 74,563 21.87 Bengkulu 44,066 40,132 38,882 79,014 37,306 84.7 37,003 84.5 34,717 86.5 33,191 85.4 67,908 85.98 Lampung 177,332 172,917 171,076 343,993 170,193 96.0 165,573 93.4 161,593 93.5 160,160 93.6 321,753 93.59 Bangka Belitung Island 29,243 25,536 25,375 50,911 28,152 96.3 25,776 88.1 24,499 95.9 24,150 95.2 48,649 95.6

10 Riau Island 37,895 34,395 33,281 67,676 33,424 88.2 34,676 91.5 31,185 90.7 30,045 90.3 61,230 90.511 DKI Jakarta 166,546 - - - 152,050 91.3 - - - - - - - - 12 West Java 865,838 810,923 781,846 1,592,769 802,171 92.6 790,536 92.8 625,771 77.2 597,550 76.4 1,223,322 76.813 Central Java 599,206 - - 1,230,909 590,448 98.5 603,500 98.4 - - - - 1,233,092 100.214 DI Yogyakarta 51,293 51,906 53,458 105,364 49,912 97.3 51,103 99.6 52,873 101.9 52,461 98.1 105,334 100.015 East Java 676,896 662,714 658,368 1,321,082 626,598 92.6 627,924 92.8 618,040 93.3 608,268 92.4 1,226,308 92.816 Banten 238,340 210,970 206,348 417,318 221,417 92.9 222,335 93.3 191,987 91.0 214,143 103.8 406,130 97.317 Bali 73,671 74,552 73,993 148,545 73,258 99.4 74,548 101.2 73,974 99.2 73,347 99.1 147,321 99.218 West Nusa Tenggara 112,601 104,961 104,497 209,458 107,940 95.9 108,652 96.5 101,225 96.4 100,705 96.4 201,930 96.419 East Nusa Tenggara 247,956 - - 460,491 178,535 72.0 204,496 82.5 - - - - 276,366 60.020 West Kalimantan 133,614 118,127 111,717 229,844 123,282 92.3 115,560 86.5 111,618 94.5 105,063 94.0 216,681 94.321 Central Kalimantan 25,226 23,710 22,586 46,296 18,438 73.1 24,070 93.7 22,537 95.1 21,374 94.6 43,911 94.822 South Kalimantan 89,771 - - - 85,679 95.4 - - - - - - - - 23 East Kalimantan 81,700 75,175 73,460 148,635 74,019 90.6 75,828 92.8 70,581 93.9 68,367 93.1 138,948 93.524 North Sulawesi 28,901 27,930 28,248 56,178 26,894 93.1 26,571 91.9 26,013 93.1 26,111 92.4 52,124 92.825 Central Sulawesi 53,821 48,572 47,622 96,194 44,982 83.6 49,979 92.9 39,033 80.4 43,266 90.9 82,299 85.626 South Sulawesi 185,490 186,342 179,417 365,759 161,088 86.8 171,245 92.3 172,178 92.4 165,829 92.4 324,997 88.927 Southeast Sulawesi 67,487 44,738 42,496 87,234 67,608 100.2 67,715 100.3 44,672 99.9 43,500 102.4 88,172 101.128 Gorontalo 16,963 17,539 19,173 36,712 7,854 46.3 14,595 86.0 15,628 89.1 17,707 92.4 33,335 90.829 West Sulawesi 35,474 33,513 68,987 - - 29,211 79.6 28,349 79.9 26,621 79.4 54,970 79.730 Maluku 27,199 16,468 16,734 33,202 16,412 60.3 25,028 92.0 15,444 93.8 15,657 93.6 31,101 93.731 North Maluku 22,458 18,781 18,138 36,919 18,989 84.6 18,468 82.2 16,195 86.2 15,553 85.7 31,748 86.032 West Papua - - - - - - - - - - - - - -33 Papua - - - - - - - - - - - - - -

5,031,747 3,729,206 3,637,167 9,195,150 4,549,671 90.4 3,995,588 83.7 2,910,451 78.0 2,844,043 78.2 6,981,930 75.9Source: DG of Disease Control and Environmental Health, MoH RI

No Districts/MunicipalitiesTarget Measless (1st Class) DT (1st Class) TT (2nd Class) TT (3rd Class) TT (2nd + 3rd Class)

Indonesia

Annex 4.30

Total % Total % Total % Total % Total % Total %(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

1 Aceh 113,107 48,074 42.50 45,264 40.02 19,079 16.87 12,908 11.41 11,986 10.60 89,237 78.902 North Sumatera 349,352 101,542 29.07 100,267 28.70 47,379 13.56 33,792 9.67 27,350 7.83 208,788 59.763 West Sumatera 113,857 37,277 32.74 35,661 31.32 16,920 14.86 14,841 13.03 10,587 9.30 78,009 68.514 Riau 149,188 37,210 24.94 38,417 25.75 28,703 19.24 26,897 18.03 24,705 16.56 118,722 79.585 Jambi 79,735 55,492 69.60 47,783 59.93 10,292 12.91 2,283 2.86 1,007 1.26 61,365 76.966 South Sumatera 190,512 161,730 84.89 153,454 80.55 0 0.00 0 0.00 0 0.00 153,454 80.557 Bengkulu 41,316 33,966 82.21 32,140 77.79 470 1.14 341 0.83 426 1.03 33,377 80.788 Lampung 180,530 54,863 30.39 54,620 30.26 22,954 12.71 19,858 11.00 16,487 9.13 113,919 63.109 Bangka Belitung Island 28,109 8,740 31.09 8,521 30.31 4,734 16.84 3,265 11.62 2,319 8.25 18,839 67.02

10 Riau Island 49,096 18,894 38.48 15,771 32.12 5,100 10.39 3,688 7.51 3,458 7.04 28,017 57.0711 DKI Jakarta 95,858 39,239 40.93 35,370 36.90 732 0.76 0 0.00 0 0.00 36,102 37.6612 West Java 1,033,362 828,546 80.18 757,088 73.26 82,853 8.02 50,115 4.85 40,769 3.95 930,825 90.0813 Central Java 721,796 208,188 28.84 208,540 28.89 127,151 17.62 105,279 14.59 87,001 12.05 527,971 73.1514 DI Yogyakarta 47,909 12,465 26.02 12,087 25.23 9,242 19.29 6,192 12.92 4,359 9.10 31,880 66.5415 East Java 653,446 25,089 3.84 25,697 3.93 33,954 5.20 54,773 8.38 66,189 10.13 180,614 27.6416 Banten 230,637 142,342 61.72 128,151 55.56 35,561 15.42 23,525 10.20 19,650 8.52 206,887 89.7017 Bali 68,119 2,375 3.49 2,030 2.98 4,015 5.89 20,912 30.70 43,503 63.86 70,460 103.4418 West Nusa Tenggara 115,775 104,091 89.91 99,175 85.66 0 0.00 0 0.00 0 0.00 99,175 85.6619 East Nusa Tenggara 136,088 59,717 43.88 43,715 32.12 31,947 23.48 21,950 16.13 17,921 13.17 115,533 84.9020 West Kalimantan 106,277 40,014 37.65 37,907 35.67 12,022 11.31 8,463 7.96 7,878 7.41 66,270 62.3621 Central Kalimantan 51,178 40,599 79.33 36,840 71.98 2,171 4.24 720 1.41 356 0.70 40,087 78.3322 South Kalimantan 78,362 47,086 60.09 42,796 54.61 4,965 6.34 3,845 4.91 2,790 3.56 54,396 69.4223 East Kalimantan 84,059 24,897 29.62 21,843 25.99 11,179 13.30 7,394 8.80 6,277 7.47 46,693 55.5524 North Sulawesi 49,584 20,000 40.34 17,327 34.94 1,186 2.39 450 0.91 74 0.15 19,037 38.3925 Central Sulawesi 59,764 38,291 64.07 35,571 59.52 403 0.67 183 0.31 112 0.19 36,269 60.6926 South Sulawesi 184,137 120,133 65.24 105,818 57.47 24,524 13.32 14,005 7.61 8,858 4.81 153,205 83.2027 Southeast Sulawesi 58,691 19,864 33.84 22,311 38.02 8,704 14.83 7,033 11.98 6,287 10.71 44,335 75.5428 Gorontalo 28,762 20,810 72.35 17,570 61.09 3,308 11.50 2,216 7.70 1,500 5.22 24,594 85.5129 West Sulawesi 26,688 19,718 73.88 15,749 59.01 2,013 7.54 1,052 3.94 941 3.53 19,755 74.0230 Maluku 40,269 18,512 45.97 15,976 39.67 3,677 9.13 2,051 5.09 1,928 4.79 23,632 58.6931 North Maluku 24,173 14,560 60.23 12,878 53.27 2,682 11.10 1,693 7.00 1,697 7.02 18,950 78.3932 West Papua 20,395 4,577 22.44 3,540 17.36 2,101 10.30 1,230 6.03 1,016 4.98 7,886 38.6733 Papua 55,081 18,506 33.60 16,617 30.17 4,832 8.77 5,212 9.46 1,765 3.20 28,426 51.61

5,265,212 2,427,406 46.10 2,246,494 42.67 564,853 10.73 456,166 8.66 419,196 7.96 3,686,709 70.02Source: DG of Disease Control and Environmental Health, MoH RI

TT2 TT3 TT4 TT5 TT2+

Indonesia

COVERAGE OF TETANUS TOXOID IMMUNIZATION IN PREGNANT WOMEN BY PROVINCE, 2010

No ProvincesNumber of Pregnant Women

Immunization in Pregnant Women TT1

Annex 4.31

PERCENTAGE OF MOTHER GETTING TETANUS TOXOID INJECTION DURING LAST CHILDREN PREGNANCYBY PROVINCE, RISKESDAS 2010

1 time 2 times/more No immunization Unknown(1) (2) (3) (4) (5) (6)


10 Riau Island 28.0 29.5 38.6 3.811 DKI Jakarta 26.2 38.3 29.7 5.912 West Java 20.0 55.9 19.9 4.313 Central Java 30.4 47.4 17.8 4.414 DI Yogyakarta 38.7 46.6 13.0 1.715 East Java 38.6 22.8 33.9 4.716 Banten 23.9 47.5 24.8 3.817 Bali 30.1 60.9 7.8 1.218 West Nusa Tenggara 16.3 68.8 13.9 1.019 East Nusa Tenggara 26.4 53.3 16.4 3.920 West Kalimantan 22.1 45.0 28.4 4.521 Central Kalimantan 13.9 70.4 14.9 0.922 South Kalimantan 23.6 54.1 16.6 5.623 East Kalimantan 30.8 46.7 20.3 2.124 North Sulawesi 15.3 71.4 9.5 3.825 Central Sulawesi 22.2 55.2 18.3 4.326 South Sulawesi 21.6 60.8 15.3 2.327 Southeast Sulawesi 17.7 64.0 14.0 4.228 Gorontalo 23.1 54.1 14.7 8.129 West Sulawesi 15.4 59.6 21.2 3.830 Maluku 14.3 70.4 14.2 1.131 North Maluku 15.9 60.5 22.0 1.532 West Papua 12.5 62.1 20.8 4.633 Papua 25.2 55.6 13.4 5.8

24.7 47.2 23.6 4.6Source: National Board of Health Research and Development, MoH RI, Riskesdas 2010

No Provinces Injection of Tetanus Toxoid (TT) during pregnancy

Indonesia

Annex 4.32

Total % Total % Total % Total % Total %(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13)

1 Aceh 1,029,686 63,874 6.20 56,760 5.51 43,343 4.21 32,461 3.15 27,280 2.652 North Sumatera 2,548,620 55,419 2.17 53,094 2.08 38,886 1.53 38,870 1.53 52,060 2.043 West Sumatera 879,158 12,055 1.37 7,961 0.91 9,788 1.11 6,227 0.71 9,278 1.064 Riau 1,155,427 9,411 0.81 8,165 0.71 7,892 0.68 4,601 0.40 3,749 0.325 Jambi 659,278 18,364 2.79 12,966 1.97 695 0.11 395 0.06 386 0.066 South Sumatera - - - - - - - - - - -7 Bengkulu 343,528 1,172 0.34 470 0.14 417 0.12 881 0.26 1,173 0.348 Lampung 1,753,547 9,564 0.55 10,185 0.58 8,341 0.48 7,757 0.44 6,896 0.399 Bangka Belitung Island 249,081 1,423 0.57 1,195 0.48 1,053 0.42 508 0.20 317 0.13

10 Riau Island 371,356 8,818 2.37 5,748 1.55 2,206 0.59 2,009 0.54 1,778 0.4811 DKI Jakarta 144,343 16,130 11.17 5,132 3.56 9,828 6.81 35,851 24.84 42,478 29.4312 West Java - - - - - - - - - - -13 Central Java 5,190,053 200,970 3.87 172,078 3.32 273,552 5.27 325,600 6.27 574,762 11.0714 DI Yogyakarta - 8,649 - 3,062 - 1,410 - 701 - 122 -15 East Java 7,961,408 42,173 0.53 51,003 0.64 114,701 1.44 163,438 2.05 265,119 3.3316 Banten 1,981,063 23,564 1.19 23,637 1.19 28,189 1.42 25,587 1.29 30,015 1.5217 Bali 625,466 123 0.02 244 0.04 1,584 0.25 6,208 0.99 10,162 1.6218 West Nusa Tenggara - - - - - - - - - - -19 East Nusa Tenggara - - - - - - - - - - - 20 West Kalimantan 855,215 20,467 2.39 20,760 2.43 20,520 2.40 21,527 2.52 25,206 2.9521 Central Kalimantan 425,665 5,973 1.40 3,634 0.85 1,053 0.25 944 0.22 1,070 0.2522 South Kalimantan 657,888 37,187 5.65 25,315 3.85 2,179 0.33 1,625 0.25 1,084 0.1623 East Kalimantan 691,492 11,579 1.67 10,372 1.50 10,068 1.46 7,700 1.11 7,275 1.0524 North Sulawesi 443,497 1,529 0.34 545 0.12 143 0.03 41 0.01 16 0.0025 Central Sulawesi 538,665 3,778 0.70 3,441 0.64 4,293 0.80 4,977 0.92 9,119 1.6926 South Sulawesi 1,534,561 12,385 0.81 6,122 0.40 5,418 0.35 3,749 0.24 2,484 0.1627 Southeast Sulawesi - - - - - - - - - - - 28 Gorontalo 218,952 5,641 2.58 4,154 1.90 3,354 1.53 2,116 0.97 1,789 0.8229 West Sulawesi 214,771 356 0.17 584 0.27 224 0.10 141 0.07 90 0.0430 Maluku 321,544 8,549 2.66 7,094 2.21 4,912 1.53 3,540 1.10 3,318 1.0331 North Maluku 217,520 7,883 3.62 3,776 1.74 4,794 2.20 3,643 1.67 2,567 1.1832 West Papua 124,700 1,269 1.02 1,111 0.89 1,065 0.85 1,572 1.26 676 0.5433 Papua 583,594 2,786 0.48 1,510 0.26 912 0.16 554 0.09 435 0.07

31,720,078 591,091 1.84 500,118 1.57 600,820 1.89 703,224 2.21 1,080,704 3.41Source: DG of Disease Control and Environmental Health, MoH RI

TT1 TT2 TT3 TT4 TT5

Indonesia

COVERAGE OF TETANUS TOXOID IMMUNIZATION IN PRODUCTIVE AGE WOMENBY PROVINCE, 2010

No ProvincesNumber of Fertile Age

Women

Productive Age Women which were Immunized

Annex 4.33

All Cases AFB+ Total % Total %(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)1 Aceh 3,966 3,065 2,681 87.47 172 5.61 2,853 93.08 2 North Sumatera 16,815 13,897 12,984 93.43 367 2.64 13,351 96.07 3 West Sumatera 5,482 3,732 2,950 79.05 351 9.41 3,301 88.45 4 Riau 4,325 2,880 1,840 63.89 572 19.86 2,412 83.75 5 Jambi 3,291 2,745 2,458 89.54 127 4.63 2,585 94.17 6 South Sumatera 7,779 5,181 4,641 89.58 284 5.48 4,925 95.06 7 Bengkulu 1,941 1,588 1,371 86.34 135 8.50 1,506 94.84 8 Lampung 7,266 4,943 4,284 86.67 323 6.53 4,607 93.20 9 Bangka Belitung Island 1,229 951 837 88.01 20 2.10 857 90.12

10 Riau Island 1,695 784 471 60.08 172 21.94 643 82.02 11 DKI Jakarta 25,074 7,989 5,749 71.96 1,108 13.87 6,857 85.83 12 West Java 61,964 31,433 27,153 86.38 1,813 5.77 28,966 92.15 13 Central Java 34,671 16,906 14,365 84.97 926 5.48 15,291 90.45 14 DI Yogyakarta 2,345 1,155 893 77.32 79 6.84 972 84.16 15 East Java 38,010 22,598 19,165 84.81 1,293 5.72 20,458 90.53 16 Banten 15,629 8,134 7,031 86.44 560 6.88 7,591 93.32 17 Bali 3,227 1,517 1,154 76.07 186 12.26 1,340 88.33 18 West Nusa Tenggara 5,346 3,089 2,436 78.86 472 15.28 2,908 94.14 19 East Nusa Tenggara 5,302 3,369 2,634 78.18 467 13.86 3,101 92.05 20 West Kalimantan 5,499 4,156 3,733 89.82 128 3.08 3,861 92.90 21 Central Kalimantan 2,090 1,339 1,116 83.35 153 11.43 1,269 94.77 22 South Kalimantan 4,609 2,891 2,587 89.48 127 4.39 2,714 93.88 23 East Kalimantan 3,694 2,065 1,407 68.14 355 17.19 1,762 85.33 24 North Sulawesi 4,989 3,988 3,596 90.17 237 5.94 3,833 96.11 25 Central Sulawesi 2,397 1,918 1,689 88.06 111 5.79 1,800 93.85 26 South Sulawesi 8,223 6,428 5,615 87.35 163 2.54 5,778 89.89 27 Southeast Sulawesi 2,663 2,296 1,920 83.62 246 10.71 2,166 94.34 28 Gorontalo 1,620 1,370 1,117 81.53 191 13.94 1,308 95.47 29 West Sulawesi 1,179 942 809 85.88 61 6.48 870 92.36 30 Maluku 2,702 2,014 1,530 75.97 421 20.90 1,951 96.87 31 North Maluku 1,096 708 392 55.37 207 29.24 599 84.60 32 West Papua 1,559 638 224 35.11 84 13.17 308 48.28 33 Papua 7,054 2,504 1,146 45.77 405 16.17 1,551 61.94

294,731 169,213 141,978 83.90 12,316 7.28 154,294 91.18 Source: DG of Disease Control and Environmental Health, MoH RINotes:AFB = Acid Flacid Baccile

Recovered Complete Treatments Recovered & Complete Treatments

AND SUCCES RATE (AFTER TB MEDICATION YEAR 2009) BY PROVINCE, 2010COVERAGE OF PULMONARY TB AFB POSITIVE, HEALED, COMPLETE MEDICATION

Success Rate (%)

Indonesia

No. ProvincesCoverage of TB 2010

Annex 4.34

PERCENTAGE OF TUBERCULOSIS PATIENT HAD FINISHED TREATMENTS WITH ANTI TUBERCULOSIS DRUG BY PROVINCE,RISKESDAS 2010

Finished > 6 months In treatment Not finished < 5 months Not took treatments

(1) (2) (3) (4) (5) (6)


10 Riau Island 73.8 17.8 0.0 8.511 DKI Jakarta 62.9 19.8 17.3 0.012 West Java 57.1 19.0 23.3 0.613 Central Java 52.5 16.5 26.2 4.814 DI Yogyakarta 100 0.0 0.0 0.015 East Java 62.2 16.5 17.1 4.316 Banten 54.9 21.2 19.3 4.517 Bali 69.9 18.9 11.2 0.018 West Nusa Tenggara 63.5 9.3 24.1 3.119 East Nusa Tenggara 80.9 6.4 0.0 12.720 West Kalimantan 46.9 14.9 35.2 3.021 Central Kalimantan 48.3 23.8 13.9 13.922 South Kalimantan 89.9 4.7 5.4 0.023 East Kalimantan 57.4 42.6 0.0 0.024 North Sulawesi 68.0 17.8 14.2 0.025 Central Sulawesi 66.7 11.5 21.9 0.026 South Sulawesi 47.5 28.6 20.9 3.027 Southeast Sulawesi 84.6 15.4 0.0 0.028 Gorontalo 51.2 29.4 19.4 0.029 West Sulawesi 75.0 12.5 0.0 12.530 Maluku 46.7 14.8 38.5 0.031 North Maluku 82.8 0.0 17.2 0.032 West Papua 51.3 14.0 34.6 0.033 Papua 61.3 31.1 7.6 0.0

59.0 19.1 19.3 2.6Source: National Board of Health Research and Development, MoH RI, Riskesdas 2010Notes: * Anti Tuberculosis Drug

No. ProvincesTaking medication

Indonesia

Annex 4.35

(1) (2) (3) (4) (5) (6) (7) (8)1 Aceh 470,901 47,090 484 1,178 1,662 3.532 North Sumatera 1,446,302 144,630 19,236 18,483 37,719 26.083 West Sumatera 501,300 50,130 2,649 7,895 10,544 21.034 Riau 611,901 61,190 2,363 7,321 9,684 15.835 Jambi 285,900 28,590 1,186 2,994 4,180 14.626 South Sumatera 727,901 72,790 8,448 12,377 20,825 28.617 Bengkulu 168,101 16,810 88 194 282 1.688 Lampung 727,600 72,760 4,396 6,725 11,121 15.289 Bangka Belitung Island 110,600 11,060 1,096 3,336 4,432 40.07

10 Riau Island 187,501 18,750 135 223 358 1.9111 DKI Jakarta 794,400 79,440 4,800 10,454 15,254 19.2012 West Java 3,987,200 398,720 67,346 126,634 193,980 48.6513 Central Java 2,758,101 275,810 8,097 22,143 30,240 10.9614 DI Yogyakarta 347,920 34,792 476 1,234 1,710 4.9115 East Java 2,632,300 263,230 17,282 35,492 52,774 20.0516 Banten 992,002 99,200 4,063 7,344 11,407 11.5017 Bali 259,800 25,980 1,367 2,372 3,739 14.3918 West Nusa Tenggara 508,299 50,830 13,263 19,515 32,778 64.4919 East Nusa Tenggara 562,300 56,230 1,349 1,765 3,114 5.5420 West Kalimantan 472,899 47,290 995 2,260 3,255 6.8821 Central Kalimantan 211,599 21,160 309 769 1,078 5.0922 South Kalimantan 335,599 33,560 5,006 11,640 16,646 49.6023 East Kalimantan 315,598 31,560 1,059 2,530 3,589 11.3724 North Sulawesi 177,101 17,710 2,803 1,470 4,273 24.1325 Central Sulawesi 256,999 25,700 2,412 5,294 7,706 29.9826 South Sulawesi 810,201 81,020 2,212 4,896 7,108 8.7727 Southeast Sulawesi 256,002 25,600 288 821 1,109 4.3328 Gorontalo 95,001 9,500 304 574 878 9.2429 West Sulawesi 104,901 10,490 1,341 2,879 4,220 40.2330 Maluku 152,699 15,270 924 1,490 2,414 15.8131 North Maluku 110,101 11,010 382 798 1,180 10.7232 West Papua 85,599 8,560 0 0 0 0.0033 Papua 239,601 23,960 0 0 0 0.00

21,704,229 2,170,423 176,159 323,100 499,259 23.00Source: DG of Disease Control and Environmental Health, MoH RI

Realization of Underfive Patients of Pneumonia

< 1 Year 1 - 4 Years Total %

Indonesia

NUMBER OF UNDERFIVES PNEUMONIA CASESBY PROVINCE, 2010

No. ProvincesUnderfive Population in Health Center Area

Program

Target of Pneumonia Underfives Detection

(10%)

Annex 4.36

<48 hours ≥48 hours(1) (2) (3) (4) (5) (6) (7)1 Aceh 55,703 1,031 1,096 265,760 266,225 2 North Sumatera 42,909 845 761 187,219 214,553 3 West Sumatera 55,715 1,554 1,884 289,587 345,708 4 Riau 14,766 378 319 48,694 52,829 5 Jambi 35,532 733 385 134,516 117,658 6 South Sumatera 80,474 1,826 1,306 349,683 320,705 7 Bengkulu 15,809 352 254 58,832 61,145 8 Lampung 64,948 1,509 1,285 225,027 251,361 9 Bangka Belitung Island 18,625 325 210 66,481 64,215 10 Riau Island 11,690 186 168 23,798 39,506 11 DKI Jakarta 101,672 1,176 2,094 432,644 471,412 12 West Java 111,848 1,437 1,812 435,951 441,994 13 Central Java 254,497 5,057 4,676 1,170,488 1,089,396 14 DI Yogyakarta 45,703 685 1,519 255,958 250,722 15 East Java 315,946 7,738 7,006 1,694,974 1,444,382 16 Banten 9,342 57 69 46,657 43,180 17 Bali 73,573 989 2,188 351,871 361,155 18 West Nusa Tenggara 18,241 317 386 53,304 69,224 19 East Nusa Tenggara 59,642 917 1,071 243,130 248,337 20 West Kalimantan 46,050 1,044 948 177,501 183,445 21 Central Kalimantan 21,512 510 353 79,385 85,642 22 South Kalimantan 28,040 755 479 100,179 95,642 23 East Kalimantan 39,894 466 636 175,585 216,675 24 North Sulawesi 18,238 231 167 65,885 70,824 25 Central Sulawesi 5,147 117 92 21,405 19,984 26 South Sulawesi 91,956 2,021 2,709 486,954 496,484 27 Southeast Sulawesi 18,366 540 313 71,900 87,066 28 Gorontalo - - - - - 29 West Sulawesi 2,648 107 68 12,328 15,465 30 Maluku 11,603 247 340 54,774 62,287 31 North Maluku 16,455 180 298 58,451 54,247 32 West Papua 7,709 77 155 26,443 31,155 33 Papua 5,681 92 100 33,015 32,389

1,699,934 33,499 35,147 7,698,379 7,605,012Source: DG of Health Effort, MoH RI

Indonesia

Length of Stays

NUMBER OF INPATIENT VISIT IN HOSPITAL BY PROVINCE 2010

No Provinces Recovered patients

Dead discharge patientsInpatient Days Care

Annex 4.37

2008 2009 2008 2009 2008 2009 2008 2009 2008 2009 2010 2008 2009 2010(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (14)

1 Aceh 92.8 69.0 4 4,7 66 29.4 2 4.4 36 39.5 36.8 18 19.6 19.02 North Sumatera 64.5 47.9 6 4,8 26 11.9 5 18.0 54 52.0 36.1 30 28.5 17.13 West Sumatera 57.1 48.0 4 4,5 30 21.4 3 8.0 36 48.5 58.1 16 24.5 31.84 Riau 68.7 59.9 3 3,8 40 18.9 4 10.0 38 31.4 45.1 18 11.2 20.65 Jambi 77.4 67.9 3 3,4 58 43.4 2 2.6 35 25.3 30.5 11 8.6 10.56 South Sumatera 55.3 63.9 4 4,7 44 32.6 1 3.7 48 42.9 37.5 15 18.4 15.67 Bengkulu 45.0 58.8 3 3,9 50 26.9 2 5.6 3 37.2 36.9 12.7 15.58 Lampung 74.7 62.9 4 3,8 34 35.8 5 3.6 46 41.7 41.2 20 18.9 19.09 Bangka Belitung Island 91.0 82.6 3 3,1 26 17.1 1 12.6 42 35.9 27.9 15 13.6 11.010 Riau Island - 53.3 - 3,3 - 31.8 - 5.0 - 27.5 29.4 - 13.6 13.911 DKI Jakarta 69.7 53.7 5 4,4 34 28.1 3 4.9 44 29.5 31.2 26 18.0 20.012 West Java 85.7 63.9 4 4,2 41 28.8 2 5.0 39 29.2 28.2 18 15.8 15.713 Central Java 69.5 62.2 4 4,4 39 29.9 2 4.7 45 37.8 36.8 22 18.6 17.714 DI Yogyakarta 79.6 49.6 5 5,1 45 19.2 2 9.0 42 39.1 46.0 21 23.4 31.715 East Java 96.0 67.9 5 4,9 44 20.7 1 8.6 58 49.8 44.6 28 24.5 21.216 Banten 97.3 61.0 4 4,1 47 16.6 1 11.8 46 27.1 13.3 22 13.9 7.317 Bali 80.1 58.6 5 3,6 50 45.7 2 2.0 45 35.9 41.4 24 19.8 28.518 West Nusa Tenggara 50.3 66.3 4 3,6 32 32.4 1 4.6 40 43.0 37.1 19 18.8 20.419 East Nusa Tenggara 59.7 57.8 4 3,9 31 28.1 2 5.7 31 30.9 32.3 14 14.9 17.420 West Kalimantan 73.2 70.1 4 5,6 51 28.3 5 3.1 51 35.0 41.5 15 16.4 19.721 Central Kalimantan 47.0 52.1 4 3,5 20 14.8 4 14.8 26 28.0 38.6 11 12.4 15.822 South Kalimantan 76.8 69.3 4 3,7 38 21.7 2 8.3 44 41.5 42.2 18 15.7 16.423 East Kalimantan 99.5 75.9 4 4,2 51 25.8 2 5.0 26 21.3 26.9 13 9.6 15.524 North Sulawesi 83.0 52.4 6 3,6 37 21.8 5 7.7 30 30.6 21.4 13 12.6 9.025 Central Sulawesi 83.3 42.7 4 3,6 45 14.8 2 14.7 31 32.0 39.0 11 13.6 17.226 South Sulawesi 92.2 63.8 4 4,2 43 34.7 1 3.5 30 31.0 48.9 12 14.1 28.027 Southeast Sulawesi 71.5 61.6 5 3,9 39 22.4 8 7.2 32 40.6 44.4 16 18.7 16.328 Gorontalo - - - - - - - - - - - - - -29 West Sulawesi - 60.6 - 3,9 - 92.0 - 24.8 - 48.2 62.0 - 12.4 24.130 Maluku 36.0 34.5 4 4,7 22 11.0 8 19.8 40 33.2 48.2 29 12.9 27.931 North Maluku - - - - - - - - - - 28.2 - - 17.632 West Papua 74.0 67.9 6 3,4 27 11.0 1 21.0 17 19.7 29.2 9 10.4 19.533 Papua 51.0 59.1 5 4,1 16 66.0 6 36.9 48 36.2 32.7 35 18.8 17.0

79.8 58.7 4 4,3 42 25.0 3 6.3 42 36.5 38.8 19 18.3 19.9Source: DG of Health Effort, MoH RI

Indonesia

INDICATOR OF GENERAL HOSPITAL CARE OF MoH AND LOCAL GOVERNMENT BY PROVINCE, 2008 - 2010

Bed Occupancy Rate (BOR) Length of Stay (LOS) Bed Turn Over (BTO) Turn Over Interval

(TOI) Net Death Rate (NDR) Gross Death Rate (GDR)No Provinces

Annex 4.38

No ProvincesPermanent

Tooth Filling

Third Molar Tooth Filling

Pulpa Treatment/

Not permanent

Filling

Permanent Tooth

Extracting

Third Molar Tooth

Extracting

Periodontal Treatment

Abscess Treatment

Carries Cleansing (Scalling)

Complete Denture

Removable Denture

Fixed Denture Orthodontic Oral

Surgery

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)1 Aceh 3,249 920 7,323 5,648 2,205 2,812 1,413 3,729 10 - 37 - 442 North Sumatera 472 115 349 710 419 458 353 243 1 6 30 - -3 West Sumatera 3,438 748 4,103 2,581 771 2,317 890 2,068 - - - - 44 Riau 1,175 58 1,833 730 226 375 126 448 81 3 - 1 -5 Jambi 1,451 1,064 1,227 1,441 626 1,427 549 1,908 1 26 - - -6 South Sumatera 1,853 425 2,140 2,617 1,473 1,395 879 673 10 68 8 - 187 Bengkulu 1,310 215 257 967 209 65 233 80 1 14 - - 958 Lampung 1,736 119 1,614 2,553 730 1,261 615 580 17 275 11 1 49 Bangka Belitung Island 388 53 362 579 324 235 213 221 37 - - 59 -

10 Riau Island 1,683 200 2,037 920 497 1,199 488 706 14 79 36 3 15811 DKI Jakarta 11,835 2,172 11,290 4,567 2,619 4,295 2,091 4,350 134 506 541 1 10312 West Java 17,282 2,453 23,303 8,219 4,391 3,453 4,381 6,180 389 492 884 52 413 Central Java 12,984 1,174 11,852 8,723 3,300 5,205 2,847 3,903 246 221 55 191 55114 DI Yogyakarta 1,616 504 4,440 3,007 923 2,116 529 1,358 81 425 208 10 21215 East Java 35,169 2,712 52,688 19,943 13,989 35,326 10,600 14,102 534 2,940 671 - 2316 Banten 1,382 164 792 241 181 109 75 304 15 9 62 430 11917 Bali 3,207 332 4,194 2,968 1,525 1,083 778 1,045 13 142 24 492 95418 West Nusa Tenggara 262 54 335 247 144 214 525 84 - 9 - 601 1,20419 East Nusa Tenggara 685 43 2,125 1,324 382 2,094 604 406 15 122 - 63 5120 West Kalimantan 3,794 133 2,393 3,847 767 735 918 731 2 40 16 27 30321 Central Kalimantan 832 133 1,942 915 547 971 336 461 1 11 1 85 24022 South Kalimantan 1,802 117 2,984 1,719 1,013 867 384 223 - - - 70 9523 East Kalimantan 1,266 257 1,883 1,223 852 411 321 477 35 6 - - -24 North Sulawesi 214 1 309 621 166 248 83 77 - 4 - 499 71125 Central Sulawesi 141 20 126 220 70 43 66 11 - - - 137 35826 South Sulawesi 7,196 216 4,216 3,412 1,639 1,276 1,269 1,427 33 121 - - 1,18327 Southeast Sulawesi 2,171 273 5,411 1,743 862 1,088 464 307 - 48 - 103 33128 Gorontalo - - - - - - - - - - - - -29 West Sulawesi 50 0 40 70 20 67 2 - - - - - 1,18630 Maluku 498 9 642 776 176 258 76 45 3 - - 3,492 2,01031 North Maluku 991 74 683 660 126 608 48 7 - - - 904 3,06932 West Papua 302 70 308 240 92 136 131 32 - - - 1,536 2,70933 Papua 29 4 155 4 4 76 50 30 - - - 689 3,363

120,463 14,832 153,356 83,435 41,268 72,223 32,337 46,216 1,673 5,567 2,584 9,446 19,102Source: DG of Health Effort, MoH RI

EXAMINATION OF DENTAL AND ORAL HEALTH IN LOCAL GOVERNMENT AND MINISTRY OF HEALTH PUBLIC HOSPITAL SERVICES BY PROVINCE, 2010

Indonesia

Annex 4.39

No Provinces RJTP RITP Referrals 4th Pregnant Women Visits (K4 )

2nd Neonates Visits (KN2 )

Delivering by Health Personnel

(1) (2) (3) (4) (5) (6) (7) (8)

1 Aceh 2,532,687 41,269 155,463 52,584 43,252 40,920 2 North Sumatera 393,151 1,592 12,314 8,706 6,683 6,039 3 West Sumatera 226,185 321 20,286 3,560 2,230 1,412 4 Riau 524,666 4,335 16,218 15,697 10,641 8,946 5 Jambi 97,822 1,199 3,451 3,078 2,098 1,837 6 South Sumatera 100,825 1,541 4,356 4,466 3,657 2,916 7 Bengkulu 185,674 8,403 3,806 7,648 4,882 4,604 8 Lampung 995,398 40,738 56,880 23,242 16,253 13,981 9 Bangka Belitung Island 13,982 505 1,178 138 44 49 10 Riau Island 143,486 2,673 13,055 2,808 1,296 1,147 11 DKI Jakarta12 West Java 7,005,403 63,777 367,661 118,929 90,478 72,089 13 Central Java 6,082,862 180,914 448,110 84,221 62,983 57,320 14 DI Yogyakarta 561,896 7,908 40,788 6,923 4,332 4,587 15 East Java 5,037,208 128,939 297,363 78,946 65,712 53,529 16 Banten 1,432,517 202,725 68,614 20,207 20,873 18,407 17 Bali 424,555 1,676 18,175 3,797 2,832 2,740 18 West Nusa Tenggara 953,850 51,977 20,750 49,952 39,774 33,723 19 East Nusa Tenggara 1,883,324 13,554 20,703 22,261 23,798 21,342 20 West Kalimantan 416,790 4,356 22,018 11,560 6,352 4,938 21 Central Kalimantan 209,375 29,527 5,217 5,445 3,791 3,322 22 South Kalimantan 524,467 15,558 28,739 10,879 7,425 5,895 23 East Kalimantan 506,636 23,859 28,065 8,034 4,713 3,512 24 North Sulawesi 86,164 5,199 5,410 1,417 299 309 25 Central Sulawesi 46,874 297 592 1,491 1,435 949 26 South Sulawesi 327,897 3,273 13,454 9,829 6,262 5,830 27 Southeast Sulawesi 17,666 3 752 509 315 317 28 Gorontalo 337,584 3,057 16,263 7,240 5,814 5,569 29 West Sulawesi 254,910 25,882 4,017 2,499 3,543 3,287 30 Maluku 56,172 5,936 76 4,819 1,635 1,277 31 North Maluku 85,859 24,813 1,725 1,186 1,265 961 32 West Papua 24,660 14,159 110 278 268 352 33 Papua 343 1 1 1 2 2

31,490,888 909,966 1,695,610 572,350 444,937 382,108Source: Center of Managed Care MoH RI Notes: RJTP = First Level Inpatient RITP = First Level Inpatient DKI Jakarta use Provincial Budget for Community Health Insurance

JAMKESMAS (COMMUNITY HEALTH INSURANCE) PARTICIPANT VISITS IN HEALTH CENTER 2010

Indonesia

Annex 4.43

PERCENTAGE OF DRUG AND VACCINE AVAILABILITY IN INDONESIAJUNE 2011

No Name of Drug Packing Requirement2011

Availabilityon May 1, 2011 % Availability No Name of Drug Packing Requirement

2011Availability

on May 1, 2011 % Availability

1 2 3 4 5 6 1 2 3 4 5 6

1 Allopurinol tablet 100 mg 100 tabletss/strip/blister, box 8,551,907 1,584,976 32 37 Ethacridine solution 0,1% Bottle 300 ml 2,216,258 308,483 182 Aminophylin tablet 200 mg 100 tablets / bottle 6,785,351 1,837,410 27 38 Phenytoin Sodium Injection 50 mg/ml ampoules @ 2 ml 1,257,334 353,723 393 Aminophylin injection 24 mg/ml 30 ampoules / box 270,250 61,535 25 39 Phenobarbital Injection I.m/I.v 50 mg/ml 30 ampoules / box 890,196 195,113 484 Amitriptilin coated tablet 25 mg (HCL) 100 tablets/strip/blister, box 1,160,835 261,903 27 40 Phenobarbital tablet 30 mg 1000 tablets / bottle 6,766,624 2,458,623 525 Amoxicillin capsule 250 mg 120 capsule/strip/blister, box 28,591,389 6,000,475 20 41 Phenoxymethylpenicillin (penicillin V) tablet 250 mg 100 tablets / box 623,494 104,341 286 Amoxicillin caplet 500 mg 100 caplet/strip, box 134,802,623 24,282,556 19 42 Phenoxymethylpenicillin (penicillin V) tablet 500 mg 100 tablets / box 606,940 170,134 197 Amoxicillin dry syrup 125 mg/ 5 mg Bottle 60 ml 53,920,312 6,864,679 16 43 Phenol Glycerol ear drops 10% 24 btl @ 5 ml / box 653,147 129,452 368 Metampyron tablet 500 mg 1,000 tablets / bottle 47,147,417 10,246,867 19 44 Phytomenadion (Vit. K1) injection 10 mg/ml 30 ampoules / box 846,200 163,014 349 Metampyron injection 250 mg 30 ampoules / box 2,734,559 616,561 20 45 Phytomenadion (Vit. K1)sugar coated tablet 10 mg 100 tablets / bottle 3,281,298 938,140 2410 Antacids DOEN I chewable tablet, btl 1,000 tablets 55,806,774 16,961,945 23 46 Furosemid tablet 40 mg box 20 x 10 tablets 3,145,964 1,011,150 2911 Anti Bacterial DOEN ointment combination: 25 tube @ 5 g / box 2,055,339 476,868 19 47 Gameksan lotion 1 % Bottle 30 ml 891,672 147,018 1412 Antihemoroid DOEN combination : Bismuth 10 supp / box 885,077 124,402 22 48 Rehydration Salts I powder combination : Sodium 100 kantong/kotak tahan 8,739,343 2,118,613 2113 Antifungi DOEN Combination : Benzoic Acid 6% + 24 pot @ 30 g / box 2,744,440 276,475 28 49 Gentian Violet Larutan 1 % Bottle 10 ml 4,344,808 665,011 3314 Antimigrain : Ergotamin tartrat 1 mg + Coffein 50 100 tablets / bottle 1,289,585 278,391 21 50 Glibenclamide tablet 5 mg 100 tablets / box 8,336,364 1,729,727 2715 Antiparkinson DOEN tablet combination : Carbidopa box 10 x 10 tablets 538,462 127,795 51 51 Glyseryl Guaiakolat tablet 100 mg 1,000 tablets / bottle 56,616,996 17,576,071 2416 Aqua Pro Injection Sterile, pyrogen free 10 vial @20 ml / box 1,138,976 243,416 24 52 Glyserin btl 100 ml 162,582 37,503 3017 Ascorbic Acid (vitamin C) tablet 50 mg 1,000 tablets / bottle 40,693,688 12,448,100 28 53 Glucose infusion solutions 5% btl 500 ml 7,187,881 1,638,316 2318 Acetilsalicylac Acid tablet 100 mg (Acetosal) box 10 x 10 tablets 505,007 127,374 19 54 Glucose infusion solutions 10% btl 500 ml 1,505,774 361,058 2819 Acetilsalicylac Acid tablet 500 mg (Acetosal) box 10 x 10 tablets 1,984,709 464,770 20 55 Glucose infusion solutions 40% steril (produk lokal) 10 amp @ 25 ml, box 267,963 62,828 5320 Athropin sulfat tablet 0,5 mg 500 tablets / bottle 1,649,999 404,876 30 56 Griseofulvin tablet 125 mg, micronized box 10 x 10 tablets 9,273,467 1,090,355 1521 Atropine eye drops 0,5% 24 btl @ 5 ml / box 271,608 71,612 27 57 Haloperidol tablet 0,5 mg box 10 x 10 tablets 411,875 95,498 4622 Atropine injection l.m/lv/s.k. 0,25 mg/mL - 1 mL 30 ampoules / box 3,135,847 770,372 39 58 Haloperidol tablet 1,5 mg box 10 x 10 tablets 881,990 221,068 3523 Betamethasone cream 0,1 % 25 tube @ 5 g / box 1,467,643 293,502 25 59 Haloperidol tablet 5 mg box 10 x 10 tablets 331,976 118,975 4224 Dexamethasone injection I.v. 5 mg/ml 100 ampoules / box 1,657,432 389,870 34 60 Hydrochlorothiazide tablet 25 mg 1,000 tablets / bottle 10,906,392 2,520,724 3825 Dexamethasone tablet 0,5 mg 1,000 tablets / bottle 92,741,669 19,829,814 26 61 Hydrocortison cream 2,5% 24 tube @ 5 g / box 3,666,430 650,910 1926 Dextran 70-sterile infusion solution 6% Bottle 500 ml 385,421 85,480 41 62 Ibuprofen tablet 200 mg 100 tablets / bottle 11,899,307 1,936,670 2427 Dextrometorphan syrup 10 mg/5 ml (HBr) Bottle 60 ml 23,717,274 3,463,916 19 63 Ibuprofen tablet 400 mg box 10 x 10 tablets 24,954,922 1,970,784 2928 Dextrometorphan tablet 15 mg (HBr) 1,000 tablets / bottle 36,455,819 10,461,632 35 64 Isosorbid Dinitrat sublingual tablet 5 mg box 10 x 10 tablets 2,774,797 524,656 2629 Diazepam Injection 5mg/ml 30 ampoules / box 301,653 54,730 41 65 Calcium Lactate (Kalk) tablet 500 mg 1000 tablets / bottle 48,978,656 10,744,929 2130 Diazepam tablet 2 mg 1,000 tablets / bottle 25,271,795 3,748,851 29 66 Captopril tablet 12,5 mg box 10 x 10 tablets 8,360,181 1,819,635 2531 Diazepam tablet 5 mg 250 tablets / bottle 1,544,883 277,725 36 67 Captopril tablet 25 mg box 10 x 10 tablets 24,777,046 3,699,382 2232 Diphenhydramine injection I.M. 10 mg/ml (HCL) 30 ampoules / box 2,374,355 490,618 22 68 Carbamazepim tablet 200 mg box 10 x 10 tablets 1,081,286 222,467 2133 Digoxin tablet 0,25 mg 100 tablets / box 2,493,712 531,456 23 69 Ketamin Injection 10 mg/ml 10 vial @ 20 ml, box 202,461 44,414 5334 Ephedrin tablet 25 mg (HCL) 1,000 tablets / bottle 14,113,236 3,495,316 32 70 Klofazimin capsule 100 mg microzine 100 capsule / bottle 1,461,402 202,700 2535 Atropa belladona extract tablet 10 mg 1,000 tablets / bottle 7,298,904 1,343,455 17 71 Chloramphenicol capsule 250 mg 250 capsule / bottle 27,637,611 3,728,042 2536 Epinephrine (Adrenaline) injection 0,1% (as HCL) 30 ampoules /box 661,976 141,995 31 72 Chloramphenicol ear drops 3 % 24 bottle @ 5 ml / box 2,597,998 244,210 17

Source: DG of Phamaceutical and Medical Device, MoH RI

Annex 4.40

Males Females Males + Females(1) (2) (3) (4) (5)

1 Aceh 142,230 191,923 334,1532 North Sumatera 124,538 135,565 260,1033 West Sumatera 71,095 89,686 160,7814 Riau 19,334 26,151 45,4855 Jambi 13,451 16,043 29,4946 South Sumatera 66,849 78,665 145,5147 Bengkulu 12,912 14,519 27,4318 Lampung 42,554 47,536 90,0909 Bangka Belitung Island 3,766 4,560 8,32610 Riau Island 9,353 11,018 20,37111 DKI Jakarta 38,135 46,326 84,46112 West Java 306,987 391,337 698,32413 Central Java 411,547 525,926 937,47314 DI Yogyakarta 64,325 81,400 145,72515 East Java 278,660 365,694 644,35416 Banten 54,557 59,939 114,49617 Bali 47,663 35,123 82,78618 West Nusa Tenggara 43,395 44,288 87,68319 East Nusa Tenggara 45,662 50,518 96,18020 West Kalimantan 41,365 45,155 86,52021 Central Kalimantan 10,162 10,994 21,15622 South Kalimantan 21,187 21,281 42,46823 East Kalimantan 41,569 30,230 71,79924 North Sulawesi 15,644 19,079 34,72325 Central Sulawesi 13,079 15,869 28,94826 South Sulawesi 96,816 111,018 207,83427 Southeast Sulawesi 21,376 26,669 48,04528 Gorontalo 7,195 10,577 17,77229 West Sulawesi 5,777 7,676 13,45330 Maluku 8,379 9,120 17,49931 North Maluku 3,153 3,231 6,38432 West Papua 19,820 23,975 43,79533 Papua 41,587 48,378 89,965

2,144,122 2,599,469 4,743,591Source: Center of Managed Care MoH RI

Advance Level Outpatient Care

NUMBER OF ADVANCE LEVEL OUTPATIENT (RJTL) VISIT OF JAMKESMAS PARTICIPANTS, 2010

No Provinces

Total

Annex 4.41

Males Females Males + Females(1) (2) (3) (4) (5)

1 Aceh 26,857 37,061 63,9182 North Sumatera 30,493 38,715 69,2083 West Sumatera 12,626 18,703 31,3294 Riau 4,544 6,932 11,4765 Jambi 4,201 5,777 9,9786 South Sumatera 8,944 12,538 21,4827 Bengkulu 5,334 5,897 11,2318 Lampung 16,540 20,495 37,0359 Bangka Belitung Island 814 1,080 1,89410 Riau Island 1,361 2,334 3,69511 DKI Jakarta 2,450 3,133 5,58312 West Java 54,279 81,464 135,74313 Central Java 108,057 144,305 252,36214 DI Yogyakarta 12,001 16,362 28,36315 East Java 61,585 93,538 155,12316 Banten 13,116 14,468 27,58417 Bali 9,866 10,541 20,40718 West Nusa Tenggara 14,023 20,148 34,17119 East Nusa Tenggara 22,392 34,192 56,58420 West Kalimantan 16,704 16,687 33,39121 Central Kalimantan 3,533 3,744 7,27722 South Kalimantan 5,595 6,893 12,48823 East Kalimantan 10,824 9,029 19,85324 North Sulawesi 4,304 5,555 9,85925 Central Sulawesi 5,497 7,832 13,32926 South Sulawesi 23,478 28,600 52,07827 Southeast Sulawesi 6,201 10,137 16,33828 Gorontalo 4,210 6,061 10,27129 West Sulawesi 1,487 2,305 3,79230 Maluku 3,554 5,048 8,60231 North Maluku 1,498 1,732 3,23032 West Papua 3,709 6,567 10,27633 Papua 4,056 7,879 11,935

504,133 685,752 1,189,885Source: Center of Managed Care MoH RI

Advance Inpatient Care

Total

NUMBER OF ADVANCE LEVEL INPATIENT (RITL) CASEOF JAMKESMAS PARTICIPANTS, 2010

No Provinces

Annex 4.42

Serious Injured/ Light Injured/Inpatients Outpatients

(1) (2) (3) (4) (5) (6) (7) (8)1 Flood 27 33 59 26,565 12 90,604

2 Flash Flood 13 215 181 5,567 151 16,214

3 Flood and Landslide 6 19 12 594 3 10,096

4 Landslide 16 131 69 131 39 6,316

5 Tidal Wave 1 - 1 - - -

6 Tropical cyclon (high wind and whirlwind 14 10 38 187 2 104

7 Earthquake 7 7 49 269 12 5,096

8 Mountain explosion 4 382 2,787 63,286 4 428,159

9 Industrial accident 1 8 13 4 0 0

10 Technology Failure 9 5 25 4 3 0(including gas stove explosion

11 Explosion (bomb, gas cylinder, etc 1 - 1 - 0 0

12 Conflict 16 33 331 184 0 44,344

13 Fire 6 29 27 215 0 2,850

14 Poisoned/Botulism 5 4 317 319 0 0

15 Earthquake & Tsunam 1 509 175 910 21 15,097

1,385 4,085 98,235 247 618,880

Source: Center for Crisis Response, MoH RI, 2010

Number of Victims Internally Displaced Deaths Missings

RECAPITULATION OF DISASTER BY TYPE AND NUMBER OF VICTIMS

Total

2010

No Type of Disaster Number of Provinces

Annex 4.44PERCENTAGE OF DRUG AND VACCINE AVAILABILITY IN INDONESIA

JUNE 2011

No Name of Drug Packing Requirement2011

Availabilityon May 1, 2011 % Availability No Name of Drug Packing Requirement

2011Availability

on May 1, 2011 % Availability1 2 3 4 5 6 1 2 3 4 5 6

73 Chlorpheniramine maleat (CTM) tablet 4 mg 1,000 tablets / bottle 118,244,020 32,593,219 27 109 Povidone Iodine solution 10 % Bottle 30 ml 3,109,389 391,127 1774 Chlorpromazine injection i.m 5 mg/ml-2ml (HCL) 30 ampoules / box 405,042 86,694 65 110 Povidone Iodine solution 10 % Bottle 300 ml 1,935,411 282,816 2075 Chlorpromazine injection i.m 25 mg/ml (HCL) 30 ampoules / box 163,702 47,775 43 111 Prednisone tablet 5 mg 1,000 tablets / bottle 63,117,211 10,029,513 2576 Chlorpromazine coated tablet 25 mg (HCL) 1,000 tablets / bottle 702,320 189,932 33 112 Primaquine tablet 15 mg 1,000 tablets / bottle 1,897,705 595,454 5177 Chlorpromazine HCl coated tablet 100 mg (HCL) 1,000 tablets / bottle 1,855,256 401,878 28 113 Propiltiouracil tablet 100 mg 100 tablets / bottle 1,311,239 309,369 31

78 Anti Malaria DOEN combination Pirimetamin 25 mg + Sulfadoxin 500 mg 100 tablets / box 1,736,825 324,088 23 114 Propanol tablet 40 mg (HCL) 100 tablets / bottle 2,745,337 738,014 23

79 Cotrimoxazol Suspension combination: Sulfametoxazol 200 mg + Trimetoprim 40 mg/ 5 ml bottle 60 ml 38,762,772 4,309,447 18 115 Reserpine tablet 0,10 mg 250 tablets / bottle 2,764,159 648,583 57

80 Cotrimoxazol DOEN I (adult) combination : Sulfametoxazol 400 mg, Trimetoprim 80 mg box 10 x 10 tablets 37,124,662 7,546,260 17 116 Reserpine tablet 0,25 mg 1,000 tablets /bottle 5,446,174 1,665,516 44

81 Cotrimoxazol DOEN II (pediatric) combination : Sulfametoxazol 100 mg, Trimetoprim 20 mg box 10 x 10 tablets 4,466,612 1,764,582 28 117 Ringer Lactate solution btl 500 ml 18,579,917 4,214,549 21

82 Quinin tablet 200 mg box 60 tablets 976,507 280,228 27 118 Salep 2-4, combination: Salicylic acid 2% + Sulphur precipitate 4% 24 pot @ 30 g / box 2,026,650 427,644 22

83 Quinin Dihydrochlorida injection 25%-2 ml 30 ampoules / box 193,037 39,731 40 119 Salicyl powder 2% 50 gram / box 12,416,968 1,863,237 18

84 Lidocain injection 2% (HCL) + Epinephrin 1 : 80.000-2 ml 30 vial / box 2,734,233 391,139 24 120 Serum Anti Bisa Ular Polivalen injection 5 ml (ABU

I) 10 vial / box 750,723 168,102 24

85 Magnesium Sulfat injection (IV) 20%-25 ml 10 vial / box 123,241 42,793 57 121 Serum Anti Bisa Ular Polivalen injection 50 ml (ABU II) 1 vial / box 26,989,177 9,751,206 77

86 Magnesium Sulfat injection (IV) 40%-25 ml 10 vial / box 94,076 31,952 40 122 Anti Diphteri Serum injection 20.000 IU/vial (A.D.S.) 10 vial / box 2,542,110 541,783 15

87 Magnesium Sulfat powder 30 gram 10 sachets @ 30 gr / box 113,839 25,512 24 123 Anti Tetanus Serum injection 1.500 IU/ampul (A.T.S.) 10 ampoules / box 768,798 123,754 16

88 Mebendazol syrup 100 mg / 5 ml Bottle 30 ml 384,662 60,356 25 124 Anti Tetanus Serum injection 20.000 IU/vial (A.T.S.)

10 vial / box 1,175,676 326,911 23

89 Mebendazol tablet 100 mg box 5 x 6 tablets 664,460 132,413 45 125 Cyanocobalamin (Vitamin B12) injection 500 mcg 100 ampoules / box 3,048,868 372,771 22

90 Metilergometrin Maleat (Metilergometrin) coated tablet 0,125 mg box 10 x 10 tablets 6,276,528 642,144 17 126 Sodium Sulfacetamide eye drops 15 % box 24 btl @ 5 ml 1,421,062 162,232 20

91 Metilergometrin Maleat injeksi 0,200 mg -1 ml 30 ampoules / box 915,477 133,153 21 127 Tetracaine HCL eye drops 0,5% box 24 btl @ 5 ml 1,326,662 382,021 2292 Metronidazol tablet 250 mg 100 tablets / box 14,637,739 1,757,800 22 128 Tetracycline capsule 250 mg 1,000 capsule / bottle 23,069,009 3,998,051 2693 Sodium Bicarbonat tablet 500 mg 1,000 tablets / bottle 11,830,517 3,092,641 25 129 Tetracycline capsule 500 mg box 10 x 10 capsule 4,586,525 1,116,482 1694 Sodium Fluorescein eye drops 2 % 24 bottle @ 5 ml / box 955,865 217,853 38 130 Thiamine (vitamin B1) injection 100 mg/ml box 30 amp @ 1 ml 1,591,633 349,963 2695 Sodium Chlorida infusion 0,9 % Bottle / plastic 500 ml 3,180,697 397,650 17 131 Thiamine (vitamin B1) tablet 50 mg (HCL/Nitrat) 1,000 tablets / bottle 64,201,517 13,762,907 2796 Sodium Thiosulfat injection I.v. 25 % box 10 amp @ 10 ml 812,652 205,658 30 132 Tiopental Sodium powder injection 1,000 mg/amp ampoules @ 10 ml 65,554 21,934 3897 Nistatin coated tablet 500.000 IU/g box 10 x 10 coated tablets 521,661 128,033 31 133 Trihexyphenidil tablet 2 mg box 10 x 10 tablets 1,491,918 321,118 5098 Nistatin Vaginal coated tablet 100.000 IU/g box 10 x 10 vaginal tablets 886,078 195,732 29 134 Vaccine Rabies Vero 1 kuur / set 372,106 102,322 1699 Obat Batuk Hitam ( O.B.H.) Bottle 100 ml 28,227,179 4,208,101 18 135 Vitamin B Complex tablet 1,000 tablets / bottle 85,292,284 20,717,522 25

100 Oxytetracycline HCL eye ointment 1 % 25 tube @ 3,5 g / box 2,346,931 498,100 19101 Oxytetracycline injection I.m. 50 mg/ml-10 ml 10 vial / box 491,460 69,872 18 136 BCG 2,099,247 680,411 19102 Oxytocin injection 10 UI/ml-1 ml 30 ampoules / box 2,591,294 482,981 19 137 T T 4,524,864 758,556 17103 Paracetamol syrup 120 mg / 5 ml Bottle 60 ml 47,219,120 6,475,166 17 138 D T 1,044,349 125,989 20104 Paracetamol tablet 100 mg 100 tablets / bottle 3,467,807 1,469,499 35 139 CAMPAK 10 Doses 2,453,182 704,796 22105 Paracetamol tablet 500 mg 1,000 tablets / bottle 122,881,960 32,705,240 27 140 POLIO 10 Doses 4,122,780 1,008,969 18106 Pilokarpin eye drops 2 % (HCL/Nitrat) bottle @ 5 ml 914,892 262,425 22 141 DTP-HB 4,136,106 866,415 17107 Pyrantel tablet Score (base) 125 mg box 30 x 2 score 3,743,392 867,727 30 142 HEPATITIS B 0,5 ml ADS 4,545,648 1,192,320 19108 Pyridoxine (Vitamin B6) tablet 10 mg (HCL) 1,000 tablets / bottle 60,545,338 12,126,863 24 143 POLIO 20 Doses 548,251 16,135 10

144 CAMPAK 20 Doses 321,972 8,152 16Source: DG of Phamaceutical and Medical Device, MoH RI

VACCINE

Annex 5.1

2006 2007 2008 2009 2010 2006 2007 2008 2009 2010(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)1 Aceh 274 311 301 309 315 6.73 7.36 7.01 7.08 7.012 North Sumatera 445 463 495 500 506 3.52 3.61 3.80 3.77 3.903 West Sumatera 224 228 227 242 246 4.84 4.85 4.77 5.01 5.084 Riau 154 156 183 176 193 2.52 3.08 3.53 3.32 3.485 Jambi 140 148 158 163 169 5.22 5.40 5.67 5.75 5.476 South Sumatera 249 259 278 284 293 3.61 3.69 3.90 3.93 3.937 Bengkulu 126 140 142 167 170 8.04 8.66 8.65 10.02 9.918 Lampung 235 248 253 264 265 3.26 3.40 3.42 3.52 3.489 Bangka Belitung Island 47 51 50 55 58 4.37 4.61 4.45 4.83 4.74

10 Riau Island 45 51 59 61 66 3.36 3.66 4.06 4.03 3.9311 DKI Jakarta 342 341 351 339 341 3.82 3.76 3.84 3.68 3.5512 West Java 999 1,002 999 1,008 1,028 2.52 2.48 2.44 2.43 2.3913 Central Java 858 871 842 849 867 2.67 2.69 2.58 2.58 2.6814 DI Yogyakarta 117 117 120 119 121 3.45 3.41 3.46 3.40 3.5015 East Java 930 929 940 944 946 2.54 2.52 2.53 2.53 2.5216 Banten 177 180 194 196 217 1.92 1.91 2.02 2.00 2.0417 Bali 110 112 114 114 114 3.21 3.22 3.24 3.21 2.9318 West Nusa Tenggara 130 134 142 145 150 3.05 3.12 3.25 3.27 3.3319 East Nusa Tenggara 251 253 278 288 309 5.76 5.69 6.13 6.23 6.6020 West Kalimantan 205 211 224 229 231 4.98 5.05 5.27 5.30 5.2521 Central Kalimantan 154 163 169 169 174 7.95 8.04 8.21 8.10 7.8722 South Kalimantan 201 204 214 213 214 6.01 6.01 6.21 6.09 5.9023 East Kalimantan 186 192 205 207 217 6.34 6.35 6.62 6.54 6.1124 North Sulawesi 130 142 144 159 170 6.02 6.49 6.52 7.13 7.4925 Central Sulawesi 144 145 144 165 160 6.13 6.05 5.91 6.65 6.0726 South Sulawesi 362 374 395 395 416 4.20 4.86 5.06 4.99 5.1827 Southeast Sulawesi 159 153 208 223 233 7.94 7.53 10.02 10.53 10.4428 Gorontalo 55 55 73 75 76 5.84 5.73 7.51 7.62 7.3129 West Sulawesi 62 66 70 77 81 6.25 6.49 6.78 7.35 6.9930 Maluku 125 142 153 135 156 9.83 10.91 11.58 10.08 10.1731 North Maluku 62 64 91 96 100 6.75 6.78 9.48 9.85 9.6332 West Papua 81 83 96 105 106 11.77 11.59 13.15 14.12 13.9433 Papua 236 246 236 266 297 8.87 2.05 11.48 12.68 10.48

8,015 8,234 8,548 8,737 9,005 3.50 3.61 3.65 3.74 3.79Source: Center for Data and Information, MoHRI

NUMBER OF HEALTH CENTER AND ITS RATIO TO POPULATIONBY PROVINCE, 2006 - 2010

per 100,000 Population

Indonesia

No ProvincesNumber of Health Center

Ratio of Health Center

Annex 5.2

2006 2007 2008 2009 2010 2006 2007 2008 2009 2010(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14)

1 Aceh 85 125 66 115 116 51 189 186 235 194 199 881 2 North Sumatera 145 122 144 129 140 62 300 341 351 371 366 1,801 3 West Sumatera 81 84 68 81 85 73 143 144 159 161 161 857 4 Riau 46 49 45 51 53 32 108 107 138 125 140 723 5 Jambi 41 59 51 56 59 43 99 89 107 107 110 547 6 South Sumatera 76 86 77 80 82 49 173 173 201 204 211 983 7 Bengkulu 34 35 35 37 39 23 92 105 107 130 131 466 8 Lampung 39 80 37 51 58 56 196 168 216 213 207 766 9 Bangka Belitung Island 17 19 14 20 18 10 30 32 36 35 40 155 10 Riau Island 16 17 24 24 26 18 29 34 35 37 40 204 11 DKI Jakarta 50 50 54 51 52 17 292 291 297 288 289 2 12 West Java 142 150 140 171 237 143 857 852 859 837 791 1,600 13 Central Java 241 269 232 234 252 145 617 602 610 615 615 1,759 14 DI Yogyakarta 38 38 41 41 42 27 79 79 79 78 79 321 15 East Java 336 365 392 365 396 217 594 564 548 579 550 2,252 16 Banten 34 34 42 46 50 44 143 146 152 150 167 267 17 Bali 22 23 24 27 28 29 88 89 90 87 86 523 18 West Nusa Tenggara 44 58 86 80 81 39 86 76 56 65 69 494 19 East Nusa Tenggara 124 111 69 93 110 65 127 142 209 195 199 893 20 West Kalimantan 71 71 82 94 93 18 134 140 142 135 138 806 21 Central Kalimantan 52 54 47 55 69 26 102 109 122 114 105 834 22 South Kalimantan 36 40 42 46 48 54 165 164 172 167 166 593 23 East Kalimantan 87 82 96 100 93 43 99 110 109 107 124 633 24 North Sulawesi 59 65 66 72 84 45 71 77 78 87 86 457 25 Central Sulawesi 64 64 67 63 68 54 80 81 77 102 92 650 26 South Sulawesi 179 189 168 205 208 64 183 185 227 190 208 1,300 27 Southeast Sulawesi 52 48 63 69 70 30 107 105 145 154 163 462 28 Gorontalo 17 18 17 22 23 19 38 37 56 53 53 250 29 West Sulawesi 22 24 22 31 35 33 40 42 48 46 46 209 30 Maluku 54 59 29 48 56 26 71 83 124 87 100 311 31 North Maluku 31 30 27 27 27 18 31 34 64 69 73 226 32 West Papua 41 33 26 36 36 0 40 50 70 69 70 271 33 Papua 121 132 45 84 86 6 115 114 191 182 211 553

2,497 2,683 2,438 2,704 2,920 1,579 5,518 5,551 6,110 6,033 6,085 23,049Source: Center for Data and Information, MoHRI

DG Health Effort, MoH (column 8 and 14)

Sub Health Center

NUMBER OF HEALTH CENTER WITH BED AND HEALTH CENTER WITHOUT BEDBY PROVINCE, 2006 - 2010

No

Indonesia

Number of Health Center with Bed Number of Health Center without BedHealth Center PONED 2010Provinces

Annex 5.3

MoH/Government Army/Police Other Ministry/State-Owned Enterprises Private

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17)

1 Aceh 21 3 24 4 0 4 3 0 3 10 2 12 38 5 432 North Sumatera 31 5 36 8 0 8 17 1 18 78 8 86 134 14 1483 West Sumatera 18 2 20 3 0 3 1 0 1 9 10 19 31 12 434 Riau 14 1 15 4 0 4 4 0 4 13 4 17 35 5 405 Jambi 12 1 13 2 0 2 2 0 2 4 1 5 20 2 226 South Sumatera 18 4 22 2 0 2 5 0 5 7 2 9 32 6 387 Bengkulu 11 1 12 2 0 2 0 0 0 1 0 1 14 1 158 Lampung 11 1 12 2 0 2 0 0 0 16 3 19 29 4 339 Bangka Belitung Island 7 1 8 0 0 0 0 0 0 2 0 2 9 1 1010 Riau Island 8 0 8 2 0 2 2 0 2 7 2 9 19 2 2111 DKI Jakarta 9 7 16 8 1 9 5 1 6 57 42 99 79 51 13012 West Java 34 8 42 13 0 13 6 1 7 89 40 129 142 49 19113 Central Java 47 8 55 11 0 11 3 0 3 92 48 140 153 56 20914 DI Yogyakarta 6 1 7 2 0 2 0 1 1 22 17 39 30 19 4915 East Java 50 8 58 20 1 21 14 2 16 65 24 89 149 35 18416 Banten 6 1 7 2 0 2 1 0 1 16 11 27 25 12 3717 Bali 10 2 12 2 0 2 0 0 0 20 7 27 32 9 4118 West Nusa Tenggara 8 3 11 2 0 2 0 0 0 4 0 4 14 3 1719 East Nusa Tenggara 17 0 17 2 0 2 0 0 0 10 1 11 29 1 3020 West Kalimantan 13 3 16 4 0 4 1 0 1 7 3 10 25 6 3121 Central Kalimantan 14 0 14 1 0 1 0 0 0 0 0 0 15 0 1522 South Kalimantan 14 1 15 4 0 4 2 0 2 4 4 8 24 5 2923 East Kalimantan 16 3 19 4 0 4 2 0 2 9 1 10 31 4 3524 North Sulawesi 12 1 13 3 0 3 0 0 0 15 0 15 30 1 3125 Central Sulawesi 12 1 13 2 0 2 0 0 0 4 4 8 18 5 2326 South Sulawesi 26 8 34 6 0 6 1 1 2 12 9 21 45 18 6327 Southeast Sulawesi 12 1 13 2 0 2 1 0 1 4 1 5 19 2 2128 Gorontalo 6 1 7 0 0 0 0 0 0 1 0 1 7 1 829 West Sulawesi 4 0 4 0 0 0 0 0 0 1 0 1 5 0 530 Maluku 11 1 12 4 0 4 0 0 0 6 1 7 21 2 2331 North Maluku 10 0 10 2 0 2 0 0 0 1 0 1 13 0 1332 West Papua 5 0 5 2 0 2 1 0 1 2 0 2 10 0 1033 Papua 13 2 15 4 0 4 0 0 0 5 0 5 22 2 24

506 79 585 129 2 131 71 7 78 593 245 838 1,299 333 1,632Source: DG Health Effort, MoH

NUMBER OF HOSPITAL IN INDONESIA

Total Total TotalTotal General Hospital

Specific Hospital

Indonesia

No ProvincesTotal Specific

HospitalGeneral Hospital

Specific Hospital

BY MANAGEMENT AND PROVINCE, 2010

Specific Hospital

Total Hospital

General Hospital

General Hospital

Specific Hospital

General Hospital

Annex 5.4

Total Number of Bed Total Number of Bed Total Number of Bed Total Number of Bed Total Number of Bed(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

1 Ministry of Health 13 8,784 13 8,777 13 9,044 13 9,131 13 8,873

2 Provincial Government 43 12,834 43 13,182 43 13,605 44 14,029 48 13,955

3 District/Municipalities Government 334 35,375 345 37,575 375 41,285 416 47,811 445 49,436

4 Army/Police 110 10,842 110 10,836 110 10,907 123 11,821 129 11,771

No Management2006

NUMBER OF HOSPITAL AND BEDBY MANAGEMENT 2006 - 2010

2007 2008 2009 2010

5 Other Ministries/State-Owned 71 6,880 71 6,851 71 6,643 71 6,747 71 6,925

6 Private 441 43,789 451 45,074 467 47,266 535 52,064 593 52,468

1,012 118,504 1,033 122,295 1,079 128,750 1,202 141,603 1,299 143,428

Source: DG Health Effort, MoH

Total

Annex 5.5

Total Bed Total Bed Total Bed Total Bed Total Bed(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

1 Aceh 0 0 4 763 12 1,164 5 265 21 2,192

2 North Sumatera 1 482 8 1,769 19 1,392 3 133 31 3,776

3 West Sumatera 0 0 2 1,056 14 1,313 2 117 18 2,486

4 Riau 0 0 1 415 10 974 3 353 14 1,742

5 Jambi 0 0 1 321 9 788 2 104 12 1,213

6 South Sumatera 1 860 1 73 9 1,058 7 423 18 2,414

7 Bengkulu 0 0 1 298 3 228 7 268 11 794

8 Lampung 0 0 2 812 7 698 2 147 11 1,657

9 Bangka Belitung Island 0 0 0 0 3 347 4 250 7 597

10 Riau Island 0 0 0 0 7 514 1 50 8 564

11 DKI Jakarta 2 1,601 6 1,624 1 214 0 0 9 3,439

12 West Java 1 852 18 3,856 13 1,575 2 92 34 6,375

13 Central Java 1 888 20 6,151 20 3,638 6 473 47 11,150

14 DI Yogyakarta 1 733 3 496 1 124 0 0 5 1,353

15 East Java 1 1,447 19 4,965 23 3,020 7 337 50 9,769

16 Banten 0 0 4 1,043 2 136 0 0 6 1,179

17 Bali 1 667 4 835 4 427 1 50 10 1,979

18 West Nusa Tenggara 0 0 1 322 6 672 1 50 8 1,044

19 East Nusa Tenggara 0 0 1 284 5 544 11 790 17 1,618

20 West Kalimantan 0 0 2 618 7 581 4 126 13 1,325

21 Central Kalimantan 0 0 2 451 5 466 7 253 14 1,170

22 South Kalimantan 0 0 2 682 10 850 2 78 14 1,610

23 East Kalimantan 0 0 5 1,158 8 613 3 199 16 1,970

24 North Sulawesi 0 0 1 735 4 466 7 405 12 1,606

25 Central Sulawesi 0 0 2 441 7 532 3 153 12 1,126

26 South Sulawesi 1 580 5 901 18 1,630 2 76 26 3,187

27 Southeast Sulawesi 0 0 1 212 6 407 5 250 12 869

28 Gorontalo 0 0 1 282 1 68 4 200 6 550

29 West Sulawesi 0 0 0 0 2 139 2 90 4 229

30 Maluku 0 0 1 353 2 147 8 402 11 902

31 North Maluku 0 0 1 160 3 118 7 350 11 628

32 West Papua 0 0 0 0 4 394 1 50 5 444

33 Papua 0 0 1 348 5 561 7 398 13 1,307

10 8,110 120 31,424 250 25,798 126 6,932 506 72,264Source: DG Health Effort, MoH

Total

Indonesia

NUMBER OF GENERAL HOSPITAL AND BED OF MOH/GOVERNMENT OWNERSHIPBY HOSPITAL CLASS AND PROVINCE, 2010

Class A Class B Class C Class DNo Provinces

Annex 5.6

Hospital Bed Hospital Bed Hospital Bed Hospital Bed Hospital Bed

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

1 RS Jiwa 51 8,630 51 8,726 51 8,781 51 9,206 51 9,121

2 RS Kusta 22 2,137 22 2,133 22 2,168 22 2,224 22 2,170

3 RS Tuberkulosa Paru 9 718 10 757 11 782 10 731 10 757

4 RS Mata 10 459 10 418 10 418 11 423 13 515

5 RS Bersalin 57 2,458 57 2,635 57 2,577 61 2,475 65 2,502

6 RS Ibu dan Anak 69 3,388 74 3,556 79 3,804 95 4,591 107 5,130

7 RS Khusus Lainnya 62 2,157 62 2,187 62 2,258 71 2,427 65 2,665

280 19,947 286 20,412 292 20,788 321 22,077 333 22,860

Source: DG Health Effort, MoH

Total

No Type of Hospital

NUMBER OF SPECIFIC HOSPITAL AND BEDBY TYPE OF HOSPITAL, 2006 - 2010

201020092006 2007 2008

Annex 5.7


1 Aceh 3,351 129 4 241 7 556 17 1,247 37 1,178 35

2 North Sumatera 13,544 638 5 1,334 10 2,315 17 6,163 46 3,094 23

3 West Sumatera 4,312 350 8 442 10 1,069 25 1,909 44 542 13

4 Riau 2,983 266 9 303 10 600 20 1,160 39 654 22

5 Jambi 1,662 151 9 210 13 300 18 571 34 430 26

6 South Sumatera 4,727 322 7 588 12 840 18 2,198 46 779 16

7 Bengkulu 987 55 6 56 6 130 13 210 21 536 54

8 Lampung 3,091 253 8 251 8 551 18 1,450 47 586 19

9 Bangka Belitung Island 861 32 4 52 6 211 25 377 44 189 22

10 Riau Island 1,588 91 6 166 10 270 17 647 41 414 26

11 DKI Jakarta 16,998 1,974 12 2,126 13 3,650 21 5,886 35 3,362 20

12 West Java 19,368 1,404 7 2,142 11 4,491 23 7,167 37 4,164 21

13 Central Java 23,574 2,294 10 2,936 12 5,265 22 7,523 32 5,556 24

14 DI Yogyakarta 4,141 323 8 506 12 911 22 1,432 35 969 23

15 East Java 22,268 1,601 7 2,171 10 5,041 23 9,952 45 3,503 16

16 Banten 3,319 154 5 411 12 693 21 1,191 36 870 26

17 Bali 3,473 392 11 457 13 636 18 1,123 32 865 25

18 West Nusa Tenggara 1,602 112 7 167 10 289 18 818 51 216 13

19 East Nusa Tenggara 2,448 129 5 273 11 426 17 1,039 42 581 24

20 West Kalimantan 3,254 123 4 291 9 563 17 1,547 48 730 22

21 Central Kalimantan 1,054 92 9 88 8 150 14 394 37 330 31

22 South Kalimantan 2,439 247 10 230 9 464 19 994 41 504 21

23 East Kalimantan 3,575 280 8 327 9 702 20 1,458 41 808 23

24 North Sulawesi 3,218 85 3 284 9 642 20 1,542 48 665 21

25 Central Sulawesi 1,708 73 4 196 11 279 16 712 42 448 26

26 South Sulawesi 7,447 473 6 764 10 1,186 16 2,756 37 2,268 30

27 Southeast Sulawesi 1,211 57 5 108 9 161 13 479 40 406 34

28 Gorontalo 510 35 7 24 5 81 16 204 40 166 33

29 West Sulawesi 279 28 10 22 8 58 21 125 45 46 16

30 Maluku 1,653 48 3 68 4 192 12 894 54 451 27

31 North Maluku 696 20 3 20 3 83 12 214 31 359 52

32 West Papua 686 53 8 22 3 66 10 445 65 100 15

33 Papua 1,653 21 1 98 6 229 14 824 50 481 29

163,680 12,305 7.5 17,374 10.6 33,100 20.2 64,651 39.5 36,250 22.1Source: DG Health Care, MoH

NUMBER OF BED IN GENERAL HOSPITAL AND SPECIFIC HOSPITAL

Bed Class

V I P Class I Class II Class III Without Class

BY BED CLASS AND PROVINCE, 2009

Indonesia

Number of BedNo Provinces

Annex 5.8

2008 2009 2010 2008 2009 2010 2008 2009 2010 2008 2009 2010 2008 2009 2010 2008 2009 2010(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18) (19) (20)

1 Aceh 0 0 0 0 0 0 0 10 19 0 1 0 2 3 1 0 0 5

2 North Sumatera 10 9 9 3 3 2 78 79 98 9 13 9 26 37 32 41 41 56

3 West Sumatera 2 2 1 0 0 0 11 13 15 1 1 0 3 3 1 15 13 16

4 Riau 0 0 0 0 0 0 4 4 0 0 0 0 0 0 0 0 0 0

5 Jambi 1 1 0 0 0 0 4 4 4 0 0 0 2 2 2 2 2 1

6 South Sumatera 1 1 1 2 2 0 6 6 0 1 1 1 3 3 3 2 1 2

7 Bengkulu 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

8 Lampung 0 0 0 0 0 0 0 2 2 0 0 0 3 3 3 0 0 1

9 Bangka Belitung Island 0 0 0 0 0 0 0 0 0 0 2 0 1 1 0 0 0 0

10 Riau Island 2 2 0 0 0 0 0 0 0 2 1 4 1 1 1 0 0 0

11 DKI Jakarta 22 23 46 7 7 9 28 116 173 37 46 35 103 120 62 20 70 46

12 West Java 77 91 95 32 32 37 184 184 191 63 80 80 162 192 194 108 107 115

13 Central Java 31 25 23 0 0 14 36 282 281 14 18 23 50 55 40 45 26 38

14 DI Yogyakarta 1 1 1 0 0 0 42 40 61 3 3 6 3 3 5 8 0 0

15 East Java 54 54 45 17 17 15 411 388 136 17 25 25 64 80 46 150 151 113

16 Banten 30 28 30 6 17 20 47 54 57 15 20 19 76 87 86 38 37 100

17 Bali 1 1 0 0 0 0 13 12 18 0 0 0 0 0 0 5 24 12

18 West Nusa Tenggara 0 0 0 0 0 0 9 9 11 2 3 2 0 0 0 0 0 0

19 East Nusa Tenggara 0 0 0 0 0 0 1 1 2 0 0 0 0 1 0 0 0 0

20 West Kalimantan 0 0 0 0 0 0 9 10 13 0 0 0 2 1 0 0 0 1

21 Central Kalimantan 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0

22 South Kalimantan 0 0 0 0 0 1 26 29 26 0 0 0 2 3 3 19 20 20

23 East Kalimantan 0 0 0 0 0 0 15 15 15 0 0 0 0 0 0 0 0 0

24 North Sulawesi 0 0 0 0 0 0 9 9 9 0 0 0 3 3 1 0 0 0

25 Central Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

26 South Sulawesi 0 0 0 0 0 0 10 13 9 0 0 0 1 2 1 0 0 0

27 Southeast Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

28 Gorontalo 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0

29 West Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

30 Maluku 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0

31 North Maluku 0 0 0 0 0 0 6 9 11 0 0 0 0 0 0 0 0 0

32 West Papua 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

33 Papua 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

232 238 251 67 78 98 951 1,293 1,152 164 214 204 507 600 481 453 492 526Source: DG Pharmaceutical and Medical Supply, MoH

TOTAL

ProvincesNoPharmaceutical Industry Traditional Drug Industry Traditional Drug Small Industry Medical Device Production Household and Health Supply

NUMBER OF PRODUCTION FACILITY IN PHARMACEUTICAL AND MEDICAL DEVICE BY PROVINCE, 2008-2010

Cosmetics Industry

Annex 5.9

2008 2009 2010 2008 2009 2010 2008 2009 2010 2008 2009 2010 2008 2009 2010(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17)

1 Aceh 51 52 62 170 209 254 576 560 596 0 0 0 99 125 1312 North Sumatera 103 106 107 769 768 971 738 737 805 13 15 36 128 128 1863 West Sumatera 74 81 49 296 295 419 482 478 360 0 0 18 57 89 864 Riau 81 91 89 313 346 452 328 546 434 3 5 0 235 235 2515 Jambi 47 49 54 151 166 206 167 176 161 0 0 0 44 55 486 South Sumatera 95 95 98 225 243 309 95 114 136 5 4 4 106 106 1287 Bengkulu 17 19 20 96 99 140 95 90 76 0 0 0 72 72 848 Lampung 48 53 54 212 225 321 157 113 79 1 1 0 65 65 679 Bangka Belitung Island 10 14 14 62 70 91 79 92 103 2 2 0 30 30 3510 Riau Island 28 33 34 129 160 154 336 377 341 2 2 2 38 55 6311 DKI Jakarta 279 283 357 1,162 1,746 1,862 732 604 549 499 618 564 268 268 48112 West Java 365 393 362 2,256 2,256 2,420 872 872 1,362 58 73 132 244 244 28313 Central Java 329 325 327 522 1,820 2,514 361 361 381 17 23 22 0 0 11414 DI Yogyakarta 42 44 43 355 359 418 52 57 60 4 5 4 96 96 10715 East Java 461 461 492 1,586 1,586 2,418 218 217 298 27 34 47 274 274 34816 Banten 79 81 89 137 401 561 9 9 111 31 37 52 12 20 3717 Bali 81 82 73 383 462 466 159 165 203 3 4 5 109 96 6918 West Nusa Tenggara 38 38 39 162 173 207 102 102 116 0 0 0 92 92 10819 East Nusa Tenggara 27 28 39 103 103 157 183 183 141 0 0 0 153 153 6320 West Kalimantan 69 74 54 130 160 163 270 337 327 0 0 0 97 107 12121 Central Kalimantan 14 15 14 84 126 157 162 141 128 0 0 0 49 50 5022 South Kalimantan 59 61 55 171 199 227 433 460 426 0 0 0 154 159 11823 East Kalimantan 52 47 47 263 349 392 300 336 233 0 0 3 111 152 15224 North Sulawesi 43 43 47 122 139 165 40 73 101 0 0 0 109 143 14825 Central Sulawesi 23 24 25 124 148 178 112 174 161 0 0 0 102 103 9626 South Sulawesi 134 134 118 468 518 319 436 116 366 2 3 0 150 150 20127 Southeast Sulawesi 13 13 16 105 109 150 165 165 106 0 0 0 90 139 3728 Gorontalo 5 6 7 55 61 74 41 40 53 0 0 0 25 18 1129 West Sulawesi 1 1 1 28 45 60 33 44 45 0 0 0 8 8 730 Maluku 6 6 0 34 54 31 25 29 21 0 0 0 64 42 4231 North Maluku 18 19 13 60 59 86 125 125 95 0 0 0 62 77 5232 West Papua 13 13 13 71 75 96 44 46 52 0 0 0 2 3 933 Papua 38 37 43 127 142 165 13 14 21 0 0 0 151 212 67

2,743 2,821 2,855 10,931 13,671 16,603 7,940 7,953 8,447 667 826 889 3,296 3,566 3,800Source: DG Pharmaceutical and Medical Supply, MoH

Medical Device Distributor Medical Device Sub Distributor

NUMBER OF DISTRIBUTION FACILITYIN PHARMACEUTICALS AND MEDICAL DEVICE BY PROVINCE, 2008-2010

TOTAL

No ProvincesWholesaler Pharmacy/Dispensary Drug Store

Annex 5.10

No Provinces Number of Village/Kelurahan

Desa / Kelurahan / RW Siaga / Poskesdes

Kader / Toma Terlatih Posyandu

Ratio of Desa Siaga/Poskesdes to

Village

Ratio of Posyandu to Village

(1) (2) (3) (4) (5) (6) (7) (8)1 Aceh 6,420 2021 4500 7,039 0.31 1.10 2 North Sumatera 5,649 3660 3548 13,861 0.65 2.45 3 West Sumatera 964 2328 - 6,680 2.41 6.93 4 Riau 1,500 1142 200 4,679 0.76 3.12 5 Jambi 1,319 854 1950 2,992 0.65 2.27 6 South Sumatera 2,869 2362 4754 5,775 0.82 2.01 7 Bengkulu 1,442 1274 1878 1,812 0.88 1.26 8 Lampung 2,358 1371 4050 7,480 0.58 3.17 9 Bangka Belitung Island 361 275 714 948 0.76 2.63

10 Riau Island 331 192 1059 903 0.58 2.73 11 DKI Jakarta 267 1176 990 4,190 4.40 15.69 12 West Java 5,827 5378 4500 45,632 0.92 7.83 13 Central Java 8,577 7529 3750 47,763 0.88 5.57 14 DI Yogyakarta 438 420 714 5,654 0.96 12.91 15 East Java 8,502 8446 4086 46,060 0.99 5.42 16 Banten 1,530 508 1800 9,548 0.33 6.24 17 Bali 698 462 780 4,719 0.66 6.76 18 West Nusa Tenggara 913 888 2664 6,133 0.97 6.72 19 East Nusa Tenggara 2,775 574 600 5,792 0.21 2.09 20 West Kalimantan 1,777 1014 199 4,057 0.57 2.28 21 Central Kalimantan 1,439 410 - 2,262 0.28 1.57 22 South Kalimantan 1,973 1668 - 3,538 0.85 1.79 23 East Kalimantan 1,404 636 515 4,455 0.45 3.17 24 North Sulawesi 1,510 984 1770 2,226 0.65 1.47 25 Central Sulawesi 1,712 1080 4459 3,015 0.63 1.76 26 South Sulawesi 2,874 2610 2520 8,097 0.91 2.82 27 Southeast Sulawesi 1,825 1008 1968 2,324 0.55 1.27 28 Gorontalo 595 280 612 1,228 0.47 2.06 29 West Sulawesi 564 79 660 1,441 0.14 2.55 30 Maluku 898 574 1248 1,894 0.64 2.11 31 North Maluku 1,041 211 - 1,318 0.20 1.27 32 West Papua 1,291 532 360 1,122 0.41 0.87 33 Papua 3,583 50 1200 2,190 0.01 0.61

75,226 51,996 58,048 266,827 0.69 3.55

DG Community Health, MoHCenter for Health Promotion, MoH

NUMBER OF HEALTH EFFORT COMMUNITY BASED (UKBM ) BY PROVINCE IN INDONESIA, 2009

IndonesiaSource :

Annex 5.11

Public Health Nutrition

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18) (19) (20)

1 Banda Aceh 3 3 1 1 0 1 1 0 0 0 0 0 0 0 0 0 0 102 Medan 1 3 1 1 0 1 1 0 0 0 0 1 0 0 0 0 0 93 Padang 2 2 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 74 Pekanbaru 2 2 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 65 Jambi 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 46 Palembang 4 2 1 2 0 0 2 0 0 0 0 1 0 0 0 0 0 127 Bengkulu 2 2 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 78 Tanjung Karang 2 2 1 1 0 1 1 0 0 0 0 1 0 0 1 0 0 109 Jakarta I 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 410 Jakarta II 0 0 0 1 1 1 1 0 0 0 0 0 1 1 1 0 0 711 Jakarta III 3 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 612 Bandung 3 4 1 0 0 1 1 0 0 0 0 2 0 0 0 0 0 1213 Tasikmalaya 2 2 1 0 0 0 2 0 0 0 0 0 0 0 0 0 1 814 Semarang 5 3 1 0 0 1 1 0 0 0 0 1 0 2 0 0 0 1415 Surakarta 1 1 0 0 0 0 0 1 1 1 1 0 0 0 0 1 0 716 Yogyakarta 1 1 1 0 0 1 1 0 0 0 0 1 0 0 0 0 0 617 Surabaya 4 3 1 0 0 2 0 0 0 0 0 1 1 0 0 0 0 1218 Malang 3 3 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 719 Denpasar 1 1 1 0 0 1 1 0 0 0 0 1 0 0 0 0 1 720 Mataram 2 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 521 Kupang 3 1 1 1 0 1 1 0 0 0 0 1 0 0 0 0 0 922 Pontianak 1 1 1 0 0 1 1 0 0 0 0 1 0 0 0 0 0 623 Palangkaraya 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 324 Banjarmasin 1 1 1 0 0 1 1 0 0 0 0 1 0 0 0 0 0 625 Samarinda 1 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 426 Manado 1 1 1 1 0 1 1 0 0 0 0 1 0 0 0 0 0 727 Palu 2 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 428 Makassar 3 2 1 1 0 2 2 1 0 0 0 1 0 0 0 0 0 1329 Kendari 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 330 Gorontalo 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 331 Ambon 3 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 632 Ternate 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 333 Jayapura 7 2 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1134 Sorong 2 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 5

71 57 18 9 1 23 30 2 1 1 1 18 2 3 2 2 2 24329.2 23.5 7.4 3.7 0.4 9.5 12.3 0.8 0.4 0.4 0.4 7.4 0.8 1.2 0.8 0.8 0.8 100


Total

Nut

ritio

n

Phys

ioth

erap

y

Spee

ch

Ther

apy

Acu

punc

ture

Ort

otic

Pr

oste

tic

Hea

lth A

naly

st

Elec

trom

edic

Te

chni

c

Rad

iodi

agno

stic

Tech

nic

Den

tal H

ealth

NUMBER OF HEALTH POLYTECHNIC INSTITUTION (POLTEKKES ) BY PROGRAM AND PROVINCE, 2010

Phar

mac

y

Nursery Pharmacy Physical Therapy

Phar

mac

y &

Fo

od A

naly

st

Envi

ronm

enta

l H

ealth

Occ

upat

ion

Ther

apy

Den

tal H

ealth

Medical Technician

Pere

kam

In

form

asi

Kes

ehat

an

%TOTAL

Nur

sery

Mid

wife

ry

No Poltekkes

Study Program

Annex 5.12


SPK

SPR

G

AK

PER

AK

BID

AK

G

SMF

SMK

F

AK

AFA

RM

A

AK

FAR

AK

L

AK

ZI

AK

FIS

ATW

D-II

I AK

UPU

NTU

R

SMA

K

ATG

AA

K

ATR

O

AR

O

API

KES

ATE

M

D-I

PTTD

D-II

I K

ardi

ovas

kule

r

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18) (19) (20) (21) (22) (23) (24) (25) (26)

1 Aceh 1 0 14 33 0 0 0 1 1 1 0 2 0 0 0 0 1 1 0 1 1 0 0 572 North Sumatera 1 0 42 55 0 4 0 3 1 1 2 2 0 0 1 0 2 1 1 0 1 0 0 1173 West Sumatera 0 0 13 10 0 1 0 1 3 0 1 1 0 0 0 0 1 0 1 2 0 0 0 344 Riau 0 0 7 20 0 1 0 1 1 0 0 1 0 0 1 0 1 0 0 1 0 0 0 345 Jambi 0 0 7 6 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 156 South Sumatera 0 0 12 16 0 1 0 0 2 2 0 1 0 0 0 0 0 0 0 1 0 0 0 357 Bengkulu 0 0 4 4 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 98 Lampung 0 0 5 10 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 179 Bangka Belitung Island 0 0 2 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 710 Riau Island 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 511 DKI Jakarta 2 2 33 21 0 9 0 2 3 1 1 2 1 0 2 1 0 1 3 2 1 1 1 8912 West Java 0 0 13 15 0 4 42 0 1 0 0 1 0 0 0 0 2 1 1 1 0 0 0 8113 Central Java 2 0 44 58 0 9 0 3 12 3 2 4 0 0 2 0 4 1 2 6 2 0 0 15414 DI Yogyakarta 0 0 5 2 0 1 0 0 2 0 0 0 0 0 0 0 1 1 0 2 1 1 0 1615 East Java 0 1 42 28 0 7 0 3 2 1 2 2 0 3 2 1 4 0 1 2 0 0 0 10116 Banten 0 0 4 9 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1517 Bali 1 0 1 3 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 818 West Nusa Tenggara 1 0 4 7 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1619 East Nusa Tenggara 2 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 520 West Kalimantan 0 0 6 4 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1121 Central Kalimantan 0 0 3 2 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 722 South Kalimantan 0 0 6 6 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1523 East Kalimantan 0 0 6 7 0 2 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1724 North Sulawesi 0 0 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 525 Central Sulawesi 0 0 5 0 0 2 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 926 South Sulawesi 23 1 26 22 0 6 0 0 1 1 0 0 0 0 3 0 1 1 0 1 1 0 0 8727 Southeast Sulawesi 0 0 6 2 1 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1228 Gorontalo 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 229 West Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 030 Maluku 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 131 North Maluku 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 232 West Papua 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 033 Papua 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 3

33 4 322 349 1 50 43 15 43 13 8 17 1 3 12 2 22 9 9 20 7 2 1 986


TOTAL

No Provinces

Nursery

BY STUDY PROGRAM AND PROVINCE, 2010NUMBER OF NON HEALTH POLYTECHNIC INSTITUTION (NON-POLTEKKES )

Medical TechnicianPhysical Therapy

Total

Pharmacy

Annex 5.13


1 Banda Aceh 10 7 70 1 14 6 86 0 0 3 30

2 Medan 9 9 100 2 22 7 78 0 0 0 0

3 Pekanbaru 7 6 86 5 83 1 17 0 0 1 14

4 Padang 6 2 33 0 0 2 100 0 0 4 67

5 Jambi 4 4 100 2 50 2 50 0 0 0 0

6 Bengkulu 12 8 67 2 0 6 75 0 0 4 33

7 Palembang 7 4 57 2 50 2 50 0 0 3 43

8 Tanjung Karang 10 8 80 0 0 8 100 0 0 2 20

9 Jakarta I 4 3 75 2 67 1 33 0 0 1 25

10 Jakarta II 7 7 100 4 57 3 43 0 0 0 0

11 Jakarta III 6 6 100 6 100 0 0 0 0 0 0

12 Bandung 12 11 92 9 82 2 18 0 0 1 8

13 Tasikmalaya 8 5 63 5 100 0 0 0 0 3 38

14 Yogyakarta 14 6 43 6 100 0 0 0 0 0 0

15 Semarang 7 11 157 9 82 2 18 0 0 3 43

16 Surakarta 6 6 100 3 50 3 50 0 0 1 17

17 Surabaya 12 12 100 10 83 2 17 0 0 0 0

18 Malang 7 7 100 5 71 2 29 0 0 0 0

19 Denpasar 7 5 71 2 40 3 60 0 0 2 29

20 Mataram 5 5 100 4 80 1 20 0 0 0 0

21 Kupang 9 7 78 0 0 7 100 0 0 2 22

22 Pontianak 6 6 100 2 33 4 67 0 0 0 0

23 Palangkaraya 3 2 67 0 0 2 100 0 0 1 33

24 Samarinda 6 6 100 3 50 3 50 0 0 0 0

25 Banjarmasin 4 2 50 1 50 1 50 0 0 2 50

26 Palu 7 6 86 0 0 6 100 0 0 1 14

27 Makassar 4 3 75 0 0 0 0 3 0 0 0

28 Kendari 13 4 31 0 0 4 100 0 0 0 0

29 Manado 3 8 267 2 25 6 75 0 0 5 167

30 Gorontalo 3 3 100 0 0 3 100 0 0 0 0

31 Ambon 6 6 100 0 0 4 67 2 33 0 0

32 Ternate 3 2 67 0 0 2 100 0 0 1 33

33 Jayapura 11 4 36 0 0 4 100 0 0 7 64

34 Sorong 5 1 20 0 0 1 100 0 0 4 80

243 192 79.01 87 45.3 100 52.1 5 2.6 51 20.99Source: National Board of Health Human Resources Development & Empowerment, MoH RI

Number of Academic Field/Study Program

Have Accreditation Not have Accreditation Yet

NUMBER OF ACADEMIC FIELD/STUDY PROGRAM OF HEALTH POLYTECHNIC (POLTEKKES )BY ACCREDITATION AND STRATA, 2010

Total

No PoltekkesS t r a t a

A B C

Annex 5.14


1 Aceh 57 1 3 23 77 6 20 30 53 27 47

2 North Sumatera 117 6 7 66 75 16 18 88 75 29 25

3 West Sumatera 34 2 10 16 76 3 14 21 62 13 38

4 Riau 34 2 12 15 88 0 0 17 50 17 50

5 Jambi 15 0 0 9 0 0 0 9 60 6 40

6 South Sumatera 35 7 28 13 52 5 20 25 71 10 29

7 Bengkulu 9 1 20 4 80 0 0 5 56 4 44

8 Lampung 17 0 0 11 92 1 8 12 71 5 29

9 Bangka Belitung Island 7 0 0 2 100 0 0 2 29 5 71

10 Riau Island 5 0 0 0 0 0 0 0 0 5 100

11 DKI Jakarta 89 8 10 70 89 1 1 79 89 10 11

12 West Java 81 3 15 17 85 0 0 20 25 61 75

13 Central Java 154 18 17 85 79 5 5 108 70 46 30

14 DI Yogyakarta 16 2 25 6 75 0 0 8 50 8 50

15 East Java 101 24 30 56 69 1 1 81 80 20 20

16 Banten 15 1 20 4 80 0 0 5 33 10 67

17 Bali 8 0 0 3 100 0 0 3 38 5 63

18 West Nusa Tenggara 16 1 25 3 75 0 0 4 25 12 75

19 East Nusa Tenggara 5 0 0 3 100 0 0 3 60 2 40

20 West Kalimantan 11 2 25 6 75 0 0 8 73 3 27

21 Central Kalimantan 7 0 0 3 100 0 0 3 43 4 57

22 South Kalimantan 15 4 40 6 60 0 0 10 67 5 33

23 East Kalimantan 17 2 20 8 80 0 0 10 59 7 41

24 North Sulawesi 5 0 0 4 80 1 20 5 100 0 0

25 Central Sulawesi 7 1 14 5 71 1 14 7 100 0 0

26 South Sulawesi 88 1 3 23 64 12 33 36 41 52 59

27 Southeast Sulawesi 12 0 0 7 100 0 0 7 58 5 42

28 Gorontalo 0 0 0 0 0 0 0 0 0 0 0

29 West Sulawesi 2 0 0 1 0 0 0 1 0 1 0

30 Maluku 1 0 0 1 100 0 0 1 100 1 100

31 North Maluku 2 0 0 0 0 0 0 0 0 2 100

32 West Papua 0 0 0 0 0 0 0 0 0 0 0

33 Papua 4 0 0 1 100 0 0 1 25 3 75

986 86 14.1 471 77.3 52 8.5 609 61.76 378 38.34Source: National Board of Health Human Resources Development & Empowerment, MoH RI

B C

NUMBER OF NON POLYTECHNIC INSTITUTION (NON-POLTEKKES ) BY ACCREDITATION AND STRATA, 2010

No Accreditation yetNumber of Institution

Have Accreditation

Total

No Provinces

S t r a t a

A

Annex 5.15

(1) (3) (4) (5) (6)A NURSERY

1 Sekolah Perawat Kesehatan (SPK) 1 4 28 332 Akademi Keperawatan (AKPER) 69 16 237 3223 Akademi Kebidanan (AKBID) 18 1 330 3494 Sekolah Pengatur Rawat Gigi (SPRG) 0 3 1 45 Akademi Kesehatan Gigi (AKG) 0 0 1 1

88 24 597 709B

1 Sekolah Menengah Farmasi (SMF) 0 3 90 932 SMKF 0 0 0 03 Akademi Analis Farmasi dan Makanan (AKAFARMA) 0 0 15 154 Akademi Farmasi (AKFAR) 2 1 40 43

2 4 145 151C

1 Akademi Kesehatan Lingkungan (AKL) 1 0 12 131 0 12 13

D1 Akademi Gizi (AKZI) 1 0 7 8

1 0 7 8E

1 Akademi Fisioterapi (AKFIS) 0 0 17 172 Akademi Okupasi Terapi (AOT) 0 0 0 03 Akademi Terapi Wicara (ATW) 0 0 1 14 Akademi Akupunktur 0 0 3 3

0 0 21 21F MEDICAL TECHNICIAN

1 Sekolah Menengah Analis Kesehatan (SMAK) 1 1 10 122 Akademi Analis Kesehatan (AAK) 2 0 20 223 Akademi Tekniker Gigi (ATG) 0 1 1 24 D-I Pendidikan Teknik Transfusi Darah (PTTD) 0 0 2 25 Akademi Teknik Radiodiagnostik dan Radioterapi (ATRO) 0 0 9 96 Akademi Perekam Informasi Kesehatan (APIKES) 0 0 20 207 Akademi Teknik Elektromedik (ATEM) 0 1 6 78 Akademi Refraksionis Optisi (ARO) 0 0 9 99 Akademi Teknik Kardiovaskuler 0 0 1 1

3 3 78 8495 31 860 986

9.63 3.14 87.22 100Source: National Board of Health Human Resources Development & Empowerment, MoH RI

Army/PoliceLocal Government

Sub Total

Number of Health Personnel

%

Sub Total

Sub Total

Sub Total

PHYSICAL THERAPY

Total

PUBLIC HEALTH

Sub Total

(2)

PHARMACY

NUMBER OF HEALTH PERSONNEL INSTITUTION OF NON-HEALTH POLYTECHNIC BY OWNERSHIP, 2010

Total

NUTRITION

No. Private

Sub Total

Annex 5.16

Level I Level II Level III(1) (2) (3) (4) (5) (6)A NURSERY

AKPER 7,192 7,476 7,476 22,144AKBID 5,443 5,025 5,298 15,766AKG 1,635 1,655 1,530 4,820

14,270 14,156 14,304 42,730B PHARMACY

AKAFARMA 80 125 125 330AKFAR 680 625 625 1,930

760 750 750 2,260C PUBLIC HEALTH

AKL 2,245 2,065 2,065 6,3752,245 2,065 2,065 6,375

D NUTRITIONAKZI 2,360 2,265 2,353 6,978

2,360 2,265 2,353 6,978E PHISICAL THERAPY

AKFIS 225 190 190 605AOT 50 50 50 150ATW 40 40 40 120AKUPUNKTUR 100 40 40 180

415 320 320 1,055F MEDICAL TECHNICIAN

AAK 1,300 1,105 1,105 3,510ATG 120 100 100 320PTTD 0 0 0 0ATRO 295 100 160 555APIKES 0 0 0 0ATEM 245 225 225 695ARO 0 0 0 0AOP 20 20 20 60KARDIOVASKULER 0 0 0 0

1,980 1,550 1,610 5,14022,030 21,106 21,402 64,538


Sub TotalTotal

RECAPITULATION OF POLTEKKES STUDENT BY TYPE OF HEALTH PERSONNELACADEMIC YEAR 2010/2011

No Type of Health PersonnelPoltekkes

Total

Sub Total

Sub Total

Sub Total

Sub Total

Sub Total

Annex 5.17

Level I Level II Level III(1) (2) (3) (4) (5) (6)A NURSERY

SPK 1,360 1,760 1,280 4,400AKPER 33,623 31,980 30,795 96,398AKBID 28,355 28,908 41,016 98,279SPRG 400 400 400 1,200AKG 140 100 40 280

63,878 63,148 73,531 200,557B PHARMACY

SMF 5,820 6,013 4,790 16,623AKAFARMA 1,835 1,655 1,490 4,980AKFAR 3,815 3,780 2,840 10,435

11,470 11,448 9,120 32,038C PUBLIC HEALTH

AKL 1,160 1,100 1,180 3,4401,160 1,100 1,180 3,440

D NUTRITION AKZI 575 605 605 1,785

575 605 605 1,785E PHYSICAL THERAPY

AKFIS 1,120 1,320 1,260 3,700AOT 0 0 0 0ATW 100 100 100 300AKUPUNKTUR 220 220 160 600

1,440 1,640 1,520 4,600F MEDICAL TECHNICIAN

SMAK 850 950 890 2,690AAK 2,150 1,950 1,890 5,990ATG 200 200 200 600PTTD 160 0 0 160ATRO 680 800 700 2,180APIKES 1,205 1,589 1,669 4,463ATEM 480 640 520 1,640ARO 580 680 680 1,940AOP 0 0 0 0KARDIOVASKULER 60 60 60 180

6,365 6,869 6,609 19,84384,888 84,810 92,565 262,263


Sub TotalTotal

RECAPITULATION OF NON POLTEKKES STUDENT BY TYPE OF HEALTH PERSONNELACADEMIC YEAR 2010/2011

No Type of Health PersonnelNon Poltekkes

Total

Sub Total

Sub Total

Sub Total

Sub Total

Sub Total

Annex 5.18

2007 2008 2009(1) (2) (3) (4) (5)I NURSERY

Keperawatan Medical Bedah 170 657 380Keperawatan Gawat Darurat 70 400 280Keperawatan Klinik Kemahiran 0 40 20Keperawatan Kardiovaskuler 0 40 20Keperawatan Anestesi 0 40 0Keperawatan Jiwa 0 0 20Keperawatan Intensive 0 0 20Keperawatan Anestesi Reanimasi 0 0 20

240 1177 760II MIDWIVERY

Bidan Pendidik 80 520 440Kebidanan Komunitas 0 0 20

80 520 440III ENVIRONMENTAL HEALTH 100 320 180

100 320 180IV NUTRITION 30 580 280

30 580 280V PHYSIOTHERAPY 40 80 40

40 80 40VI TECHNIC ELECTROMEDIC 0 80 40

0 80 40VII RADIOLOGY 40 80 40

40 80 40VIII HEALTH ANALYST 40 160 80

40 160 80IX HEALTH PROMOTION 0 0 20

0 0 20X DENTAL HEALTH

Dental Health 0 0 60Community Dental Health 0 0 20Kesehatan Gigi Prothodansia 0 0 20Dental Bedah Mulut 0 0 20Perawat Gigi Pendidik 0 0 20

0 0 140TOTAL 570 2997 2020


Sub Total

Sub Total

RECAPITULATION OF STUDENT OF DIPLOMA IV PROGRAMBY TYPE OF EDUCATION INSTITUTION, 2007- 2009

No Type of InstitutionYear

Sub Total

Annex 5.19

No Type of Health Personnel Poltekkes Non Poltekkes Total(1) (2) (3) (4) (5)A NURSERY

SPK 1,425 1,425AKPER 4,835 30,795 35,630AKBID 4,012 13,816 17,828SPRG 0 400 400AKG 1,068 0 1,068

9,915 46,436 56,351B PHARMACY

SMF 0 3,320 3,320AKAFARMA 90 1,545 1,635AKFAR 439 2,740 3,179

529 7,605 8,134C PUBLIC HEALTH

AKL 1,157 1,020 2,1771,157 1,020 2,177

D NUTRITIONAKZI 1,458 605 2,063

1,458 605 2,063E PHYSICAL THERAPY

AKFIS 153 1,140 1,293AOT 80 0 80ATW 60 100 160AKUPUNKTUR 0 120 120

293 1,360 1,653F MEDICAL TECHNICIAN

SMAK 800 800AAK 772 1,545 2,317ATG 44 200 244PTTD 0 160 160ATRO 199 650 849APIKES 0 1,285 1,285ATEM 185 480 665ARO 0 720 720AOP 60 0 60KARDIOVASKULER 0 60 60

1,260 5,900 7,16014,612 62,926 77,538


SUB TOTAL

GRADUATION OF DIKNAKES POLTEKKES AND NON POLTEKKES BY TYPE OF HEALTH PERSONNEL, 2010

SUB TOTALTOTAL

SUB TOTAL

SUB TOTAL

SUB TOTAL

SUB TOTAL

Annex 5.20

Acupuncture

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18) (19) (20)

1 Banda Aceh 233 82 29 100 100 544

2 Medan 100 291 55 80 60 80 60 726

3 Padang 225 250 125 75 60 735

4 Pekanbaru 168 160 54 382

5 Jambi 65 99 38 40 242

6 Bengkulu 95 223 60 378

7 Palembang 160 80 80 80 80 80 560

8 Tanjung Karang 200 120 120 60 80 80 660

9 Jakarta I 68 80 16 164

10 Jakarta II 65 104 44 199 60 90 109 671

11 Jakarta III 200 155 40 395

12 Bandung 220 207 39 60 50 94 670

13 Tasikmalaya 80 150 37 267

14 Semarang 400 200 100 90 90 880

15 Surakarta 110 80 102 80 60 60 492

16 Yogyakarta 72 79 79 73 73 100 476

17 Malang 314 300 125 739

18 Surabaya 600 189 195 80 125 125 1,314

19 Denpasar 101 80 17 45 21 264

20 Mataram 0

21 Kupang 280 220 80 50 630

22 Pontianak 78 185 56 56 60 56 491

23 Palangkaraya 109 101 49 259

24 Banjarmasin 40 40 40 40 40 40 240

25 Samarinda 80 74 40 194

26 Manado 80 80 80 80 80 80 480

27 Palu 106 130 89 325

28 Makassar 168 40 51 57 51 367

29 Kendari 83 97 47 227

30 Ambon 230 50 50 50 380

31 Ternate 90 90 40 220

32 Gorontalo 80 80 80 240

33 Jayapura 0

4,835 4,012 1,157 1,458 1,112 439 772 185 0 0 90 153 80 60 60 199 0 14,612Source: National Board of Health Human Resources Development & Empowerment, MoH RI

NUMBER OF POLTEKKES GRADUATED BY ACADEMIC FIELD/STUDI PROGRAM FROM HEALTH PERSONNEL INSTITUTION IN INDONESIA ACADEMIC YEAR 2010/2011

No Speech Therapy

Orthotic Prostetic

Academic Field / Study Program

TotalAKAFARMATechnic of Dental

Technic of Radiotherapy

Total

NutritionEnvironmental Health

Dental HealthNursery Technic of

DiagnosticPoltekkes Ocupation

TherapyTechnic of

ElectromedicMidwufery Health Analyst PhysiotherapyPharmacy

Annex 5.21


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18) (19) (20) (21) (23) (24) (25)

1 Aceh 260 810 440 200 100 100 100 80 90 90 60 2,330

2 North Sumatera 280 3,620 3,114 400 270 100 80 115 260 166 230 90 90 90 8,905

3 West Sumatera 1,205 965 200 100 260 80 90 135 110 170 3,315

4 Riau 682 750 180 182 90 45 104 50 2,083

5 Jambi 688 400 90 105 1,283

6 South Sumatera 1,060 659 135 104 70 100 80 2,208

7 Bengkulu 528 400 156 1,084

8 Lampung 689 600 100 90 1,479

9 Bangka Belitung Island 100 725 400 1,225

10 Riau Island 0

11 DKI Jakarta 100 200 2,499 730 436 130 160 50 130 100 130 75 90 130 100 70 90 60 5,280

12 West Java 815 320 89 90 140 70 110 66 1,700

13 Central Java 200 4,300 3,300 425 260 500 280 200 160 200 340 90 180 460 180 11,075

14 DI Yogyakarta 818 117 90 56 105 60 79 70 1,395

15 East Java 100 4,055 551 303 179 90 160 100 120 100 125 290 100 90 6,363

16 Banten 550 750 1,300

17 Bali 100 125 225

18 West Nusa Tenggara 125 545 151 821

19 East Nusa Tenggara 160 560 720

20 West Kalimantan 750 130 880

21 Central Kalimantan 535 100 635

22 South Kalimantan 635 601 125 130 1,491

23 East Kalimantan 530 88 80 698

24 North Sulawesi 680 66 746

25 Central Sulawesi 725 180 905

26 South Sulawesi 100 100 2,009 707 150 120 57 65 60 70 100 80 3,618

27 Southeast Sulawesi 702 80 56 838

28 Gorontalo 0

29 West Sulawesi 0

30 Maluku 80 80

31 North Maluku 0

32 West Papua 0

33 Papua 84 100 60 2441,425 400 30,795 13,816 3,320 1,545 2,740 1,020 605 1,140 100 120 800 200 1,545 650 720 1,285 480 160 60 62,926

Technician

Total

Provinces Total

PTTDATRO APIKES

RECAPITULATION OF GRADUATION FROM NON POLTEKKES INSTITUTION IN INDONESIA BY TYPE AND PROVINCEACADEMIC YEAR 2010/2011

NoNursery Pharmacy

ATEM

Therapy

AKL KARDIOVASKULERAKFIS ATW SMAK ATG AROAAKAKUPUNTU

RAKZIAKFARAKAFARMASPK SPRG AKPER AKBID SMF

Specialist Physician Dentist Nurse Dental Nurse Midwife

Pharm.Graduated &

Pharmacist

Pharmacist Assistat

Public Health

Graduated Sanitarian

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (19) (20)

1 Aceh 242 841 161 6,888 495 6,516 133 600 1,290 697 480 171 378 291 19,183 2,592 21,7752 North Sumatera 400 1,791 702 8,241 532 9,828 238 841 1,055 581 773 78 335 458 25,853 1,470 27,3233 West Sumatera 290 738 286 3,925 323 3,430 146 536 740 336 373 70 274 222 11,689 1,750 13,4394 Riau 160 779 284 4,360 257 2,818 134 336 413 208 224 43 249 86 10,351 1,836 12,1875 Jambi 161 433 102 3,109 295 1,906 127 360 531 435 165 38 126 233 8,021 1,666 9,6876 South Sumatera 60 505 93 3,129 312 3,409 99 281 1,010 504 320 69 156 96 10,043 1,655 11,6987 Bengkulu 49 377 83 2,816 132 1,950 282 270 818 726 250 52 119 96 8,020 1,560 9,5808 Lampung 130 596 171 3,342 225 2,614 112 174 516 367 196 41 87 142 8,713 1,703 10,4169 Bangka Belitung Island 16 189 46 1,320 91 519 36 101 235 96 102 17 68 53 2,889 467 3,35610 Riau Island 61 339 97 1,673 60 908 77 127 221 125 94 16 90 45 3,933 784 4,71711 DKI Jakarta 2,605 3,302 1,187 24,958 286 1,897 1,886 1,052 3,611 168 1,072 749 2,651 106 45,530 29,955 75,48512 West Java 902 2,385 1,033 14,794 1,110 9,322 273 1,070 1,214 1,140 1,028 97 586 534 35,488 10,121 45,60913 Central Java 1,053 2,716 859 14,605 1,325 11,962 377 1,320 1,323 1,104 1,122 336 1,029 883 40,014 14,165 54,17914 DI Yogyakarta 47 378 199 1,318 255 822 49 174 215 180 164 16 184 143 4,144 1,650 5,79415 East Java 693 2,377 1,124 13,713 819 11,253 306 1,269 834 1,194 1,190 167 555 811 36,305 13,994 50,29916 Banten 102 537 235 2,462 166 2,253 77 106 284 151 174 30 87 52 6,716 1,575 8,29117 Bali 343 937 312 2,745 304 1,853 63 222 309 411 281 69 169 122 8,140 4,042 12,18218 West Nusa Tenggara 69 381 100 3,129 191 2,667 109 164 431 467 669 29 146 91 8,643 2,227 10,87019 East Nusa Tenggara 25 444 131 3,936 414 2,663 116 415 402 576 323 51 144 185 9,825 1,787 11,61220 West Kalimantan 102 468 127 3,916 365 1,825 97 215 321 374 384 33 283 225 8,735 2,282 11,01721 Central Kalimantan 34 385 83 3,067 133 1,266 219 187 296 203 225 16 87 55 6,256 932 7,18822 South Kalimantan 134 539 151 3,385 171 2,097 108 421 592 213 380 23 326 100 8,640 2,169 10,80923 East Kalimantan 206 729 254 4,092 137 1,349 123 242 335 240 210 48 139 150 8,254 2,124 10,37824 North Sulawesi 44 516 45 2,949 259 1,223 90 195 293 401 332 70 8 3 6,428 724 7,15225 Central Sulawesi 88 363 92 3,029 111 1,721 163 200 730 576 190 29 124 54 7,470 1,205 8,67526 South Sulawesi 64 471 322 3,449 420 1,998 194 224 684 417 383 92 105 87 8,910 931 9,84127 Southeast Sulawesi 57 354 88 3,244 138 1,377 168 194 911 544 556 40 175 47 7,893 908 8,80129 Gorontalo 39 191 24 1,249 78 556 103 51 358 293 239 14 19 10 3,224 439 3,66328 West Sulawesi 16 168 71 1,167 45 504 51 59 159 67 61 20 30 27 2,445 220 2,66530 Maluku 36 271 73 2,407 135 1,006 58 41 163 213 258 10 25 14 4,710 705 5,41531 North Maluku 37 199 60 1,757 26 816 109 76 414 83 183 21 64 31 3,876 236 4,11232 West Papua 61 165 37 1,717 35 719 44 94 131 158 137 7 28 27 3,360 200 3,56033 Papua 77 469 99 4,183 78 1,504 97 141 525 257 285 25 253 51 8,044 1,233 9,277

8,403 25,333 8,731 160,074 9,723 96,551 6,264 11,758 21,364 13,505 12,823 2,587 9,099 5,530 391,745 109,307 501,052 12,823 2,587 9,099 5,530 391,745 109,307 501,052


Total

Provinces

Total Per Category 42,467 266,348 18,022

Annex 5.22

Nursery

RECAPITULATION OF HEALTH MANPOWER BY PROVINCEIN DECEMBER 2010

No Total of

Non Health Personnel

Nutritionist

Medical

34,869

Pharmacy Public Health

Total Physical Therapy

Medical Technician

Total of Health

Personnel

Health Analyst


Pharm.Graduated &

Pharmacist

Pharmacist Assistant

Public Health Sanitarian Nutrition Physical

TherapyMedical

TechnicianHealth Analyst Total

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18) (19) (20)

1 Aceh 313 0 547 104 4,185 355 5,728 31 308 568 492 285 38 69 140 12,850 982 13,832

2 North Sumatera 501 2 1,037 435 4,554 333 7,989 50 425 185 267 383 0 41 189 15,890 481 16,371

3 West Sumatera 243 3 447 219 1,848 247 2,887 21 286 200 221 213 2 74 112 6,780 614 7,394

4 Riau 190 5 551 192 2,465 133 2,253 36 185 117 140 127 3 73 39 6,319 369 6,688

5 Jambi 165 1 273 74 1,755 229 1,608 11 166 94 220 84 15 61 123 4,714 285 4,999

6 South Sumatera 300 7 365 78 2,251 273 3,204 34 197 421 334 221 11 81 59 7,536 879 8,415

7 Bengkulu 170 0 217 45 1,460 94 1,736 56 112 213 208 121 2 13 39 4,316 270 4,586

8 Lampung 266 3 405 135 1,943 181 2,371 25 83 187 223 114 0 14 63 5,747 423 6,170

9 Bangka Belitung Island 56 0 113 32 703 67 414 3 57 65 54 64 0 14 29 1,615 158 1,773

10 Riau Island 68 4 229 71 926 38 674 15 65 40 55 59 3 24 23 2,226 321 2,547

11 DKI Jakarta 358 33 624 510 1,552 173 984 58 130 98 111 156 6 93 7 4,535 1,056 5,591

12 West Java 1,028 11 1,726 771 7,733 937 8,502 80 615 484 833 745 8 78 273 22,796 3,691 26,487

13 Central Java 876 6 1,852 648 6,505 1,092 10,960 95 644 446 766 720 63 231 393 24,421 5,396 29,817

14 DI Yogyakarta 121 1 321 169 801 237 762 26 137 78 151 137 8 107 114 3,049 919 3,968

15 East Java 946 23 1,682 964 7,516 718 10,287 115 730 254 798 785 19 164 495 24,550 7,609 32,159

16 Banten 198 3 366 196 1,465 146 2,099 21 42 154 121 122 0 6 2 4,743 674 5,417

17 Bali 114 0 341 195 1,121 230 1,360 13 104 71 231 108 1 28 32 3,835 445 4,280

18 West Nusa Tenggara 150 0 239 82 2,056 166 2,311 32 96 172 364 319 5 52 29 5,923 778 6,701

19 East Nusa Tenggara 301 0 302 101 2,644 361 2,314 22 255 144 467 238 12 25 121 7,006 679 7,685

20 West Kalimantan 231 4 251 76 2,178 308 1,564 23 117 103 265 269 2 119 116 5,395 587 5,982

21 Central Kalimantan 176 0 259 56 2,160 83 1,086 133 128 104 113 162 0 50 10 4,344 271 4,615

22 South Kalimantan 219 0 335 114 1,603 92 1,668 36 240 377 129 226 0 147 1 4,968 843 5,811

23 East Kalimantan 212 2 417 191 2,123 110 1,012 37 97 139 149 124 3 30 29 4,463 584 5,047

24 North Sulawesi 167 2 339 37 2,023 226 1,080 31 134 127 292 249 42 1 2 4,585 110 4,695

25 Central Sulawesi 160 0 183 59 1,716 83 1,442 44 89 182 277 91 1 27 21 4,215 317 4,532

26 South Sulawesi 401 5 444 289 3,060 384 1,878 155 188 496 391 342 68 82 66 7,848 752 8,600

27 Southeast Sulawesi 233 0 232 60 2,183 110 1,119 41 102 342 357 399 0 32 11 4,988 279 5,267

28 Gorontalo 81 1 80 11 532 47 359 16 15 97 171 118 0 0 1 1,448 144 1,592

29 West Sulawesi 81 0 102 45 730 36 440 23 34 92 45 46 6 7 15 1,621 76 1,697

30 Maluku 155 2 188 59 1,620 126 798 16 23 30 121 171 3 5 8 3,170 209 3,379

31 North Maluku 101 0 101 39 846 17 562 24 47 159 60 108 6 11 8 1,988 82 2,070

32 West Papua 116 2 55 13 1,170 26 521 18 43 50 87 98 1 0 10 2,094 60 2,154

33 Papua 308 0 311 70 2,788 27 1,250 27 69 108 131 161 2 98 20 5,062 180 5,242

9,005 120 14,934 6,140 78,215 7,685 83,222 1,368 5,963 6,397 8,644 7,565 330 1,857 2,600 225,040 30,523 255,563Source: National Board of Health Human Resources Development & Empowerment, MoH RI

Number of Health Personnel

TOTAL

Annex 5.23

No Provinces TotalNon Health Personnel

NUMBER OF HUMAN RESOURCE IN HEALTH CENTER BY TYPE AND PROVINCE, 2010

Total of Health Center

No Provinces Number of Health Center Physician Dentist Nurse Midwife Ratio of Physician Ratio of Dentist Ratio of Nurse Ratio of Midwife

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

1 Aceh 313 547 104 4,185 5,728 1.75 0.33 13.37 18.30

2 North Sumatera 501 1,037 435 4,554 7,989 2.07 0.87 9.09 15.95

3 West Sumatera 243 447 219 1,848 2,887 1.84 0.90 7.60 11.88

4 Riau 190 551 192 2,465 2,253 2.90 1.01 12.97 11.86

5 Jambi 165 273 74 1,755 1,608 1.65 0.45 10.64 9.75

6 South Sumatera 300 365 78 2,251 3,204 1.22 0.26 7.50 10.68

7 Bengkulu 170 217 45 1,460 1,736 1.28 0.26 8.59 10.21

8 Lampung 266 405 135 1,943 2,371 1.52 0.51 7.30 8.91

9 Bangka Belitung Island 56 113 32 703 414 2.02 0.57 12.55 7.39

10 Riau Island 68 229 71 926 674 3.37 1.04 13.62 9.91

11 DKI Jakarta 358 624 510 1,552 984 1.74 1.42 4.34 2.75

12 West Java 1,028 1,726 771 7,733 8,502 1.68 0.75 7.52 8.27

13 Central Java 876 1,852 648 6,505 10,960 2.11 0.74 7.43 12.51

14 DI Y k t 121 321 169 801 762 2 65 1 40 6 62 6 30

Annex 5.24

RATIO OF PHYSICIAN, DENTIST, NURSE AND MIDWIFE TO NUMBER OF HEALTH CENTERBY PROVINCE, 2010

14 DI Yogyakarta 121 321 169 801 762 2.65 1.40 6.62 6.30

15 East Java 946 1,682 964 7,516 10,287 1.78 1.02 7.95 10.87

16 Banten 198 366 196 1,465 2,099 1.85 0.99 7.40 10.60

17 Bali 114 341 195 1,121 1,360 2.99 1.71 9.83 11.93

18 West Nusa Tenggara 150 239 82 2,056 2,311 1.59 0.55 13.71 15.41

19 East Nusa Tenggara 301 302 101 2,644 2,314 1.00 0.34 8.78 7.69

20 West Kalimantan 231 251 76 2,178 1,564 1.09 0.33 9.43 6.77

21 Central Kalimantan 176 259 56 2,160 1,086 1.47 0.32 12.27 6.17

22 South Kalimantan 219 335 114 1,603 1,668 1.53 0.52 7.32 7.62

23 East Kalimantan 212 417 191 2,123 1,012 1.97 0.90 10.01 4.77

24 North Sulawesi 167 339 37 2,023 1,080 2.03 0.22 12.11 6.47

25 Central Sulawesi 160 183 59 1,716 1,442 1.14 0.37 10.73 9.01

26 South Sulawesi 401 444 289 3,060 1,878 1.11 0.72 7.63 4.68

27 Southeast Sulawesi 233 232 60 2,183 1,119 1.00 0.26 9.37 4.80

28 Gorontalo 81 80 11 532 359 0.99 0.14 6.57 4.43

29 West Sulawesi 81 102 45 730 440 1.26 0.56 9.01 5.43

30 Maluku 155 188 59 1,620 798 1.21 0.38 10.45 5.15

31 North Maluku 101 101 39 846 562 1.00 0.39 8.38 5.56

32 West Papua 116 55 13 1,170 521 0.47 0.11 10.09 4.49

33 Papua 308 311 70 2,788 1,250 1.01 0.23 9.05 4.06

9,005 14,934 6,140 78,215 83,222 1.66 0.68 8.69 9.24Source: National Board of Health Human Resources Development & Empowerment, MoH RI

TOTAL


Pharm Graduated & Pharmacist

Pharmacist Assistant

Public Health Env. Health Nutrition Physical

therapyMedical Therapy

Health Analyst Total

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18) (19) (20)

1 Aceh 20 240 234 45 2,380 120 643 60 176 193 80 123 131 271 126 4,822 982 5,804

2 North Sumatera 29 381 467 184 3,028 161 1,322 82 227 116 108 221 75 190 149 6,711 481 7,192

3 West Sumatera 21 271 250 57 1,846 65 318 75 185 142 35 102 66 186 91 3,689 614 4,303

4 Riau 14 155 183 60 1,759 115 456 64 117 89 28 75 40 173 45 3,359 369 3,728

5 Jambi 11 147 148 28 1,244 50 248 46 129 98 85 53 22 38 97 2,433 285 2,718

6 South Sumatera 12 53 114 14 690 32 142 40 44 92 39 46 45 57 32 1,440 879 2,319

7 Bengkulu 14 48 157 36 1,216 33 141 174 133 228 230 103 42 88 53 2,682 270 2,952

8 Lampung 10 120 157 22 1,297 40 194 43 61 85 56 55 40 68 66 2,304 423 2,727

9 Bangka Belitung Island 7 13 60 8 501 18 77 16 30 27 10 18 17 48 19 862 158 1,020

10 Riau Island 7 44 80 22 623 18 164 23 37 34 12 22 13 52 21 1,165 321 1,486

11 DKI Jakarta 15 2,179 659 324 8,349 112 882 361 898 234 25 189 264 629 99 15,204 1,056 16,260

12 West Java 27 839 493 216 6,707 151 691 113 370 164 137 193 88 410 231 10,803 3,691 14,494

13 Central Java 56 1,022 710 171 7,710 218 841 185 605 209 138 315 256 712 472 13,564 5,396 18,960

14 DI Yogyakarta 3 44 36 7 438 10 31 3 19 12 2 8 7 38 19 674 919 1,593

15 East Java 47 652 575 125 5,866 92 784 111 432 164 154 287 147 347 287 10,023 7,609 17,632

16 Banten 4 94 115 18 917 13 114 31 52 19 11 30 26 52 45 1,537 674 2,211

17 Bali 12 336 533 108 1,537 61 459 24 92 53 55 138 68 131 88 3,683 445 4,128

18 West Nusa Tenggara 6 65 120 14 995 22 276 39 47 21 24 295 23 72 45 2,058 778 2,836

19 East Nusa Tenggara 16 23 119 22 1,119 46 275 39 88 38 29 40 38 105 59 2,040 679 2,719

20 West Kalimantan 15 97 183 40 1,668 44 216 47 65 44 39 74 30 153 97 2,797 587 3,384

21 Central Kalimantan 13 32 85 14 780 38 139 46 30 26 24 34 15 28 32 1,323 271 1,594

22 South Kalimantan 14 123 163 32 1,529 75 393 50 158 125 75 137 23 129 99 3,111 843 3,954

23 East Kalimantan 15 204 259 46 1,869 24 298 58 123 38 25 65 45 99 116 3,269 584 3,853

24 North Sulawesi 7 36 92 7 618 21 88 24 30 15 28 35 22 6 0 1,022 110 1,132

25 Central Sulawesi 13 86 156 28 1,183 25 242 80 81 120 111 59 28 87 32 2,318 317 2,635

26 South Sulawesi 3 19 20 5 187 8 40 14 4 39 1 17 17 13 13 397 752 1,149

27 Southeast Sulawesi 13 54 106 22 983 27 207 67 59 176 66 88 39 125 24 2,043 279 2,322

28 Gorontalo 7 35 90 13 618 31 171 53 25 107 75 82 14 12 6 1,332 144 1,476

29 West Sulawesi 5 16 42 7 391 7 53 14 20 23 8 10 14 23 12 640 76 716

30 Maluku 12 33 60 9 647 9 159 13 8 26 23 43 7 12 1 1,050 209 1,259

31 North Maluku 9 36 73 12 798 9 223 57 22 66 4 51 15 50 21 1,437 82 1,519

32 West Papua 3 26 23 4 131 4 39 3 9 7 3 6 0 0 4 259 60 319

33 Papua 13 70 123 21 1,077 46 184 32 35 95 35 65 22 115 27 1,947 180 2,127

473 7,593 6,685 1,741 60,701 1,745 10,510 2,087 4,411 2,925 1,775 3,079 1,699 4,519 2,528 111,998 30,523 142,521Source: National Board of Health Human Resources Development & Empowerment, MoH RI

Total

Annex 5.25

RECAPITULATION OF HUMAN RESOURCE OF GOVERNMENT HOSPITAL BY PROVINCEBY TYPE AND PROVINCE, 2010

No Provinces Number of Hospital

Non Health Personnel Total

Health Personnel

Annex 5.26

Total % Total % 6 Months 12 Months Total %(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

1 Aceh 10 5 63 31 4 125 129 64 202

2 North Sumatera 62 39 69 44 13 14 27 17 158

3 West Sumatera 5 10 24 49 6 14 20 41 49

4 Riau 26 43 23 38 0 12 12 20 61

5 Jambi 12 18 28 42 0 26 26 39 66

6 South Sumatera 0 0 16 100 0 0 0 0 16

7 Bengkulu 0 0 32 54 0 27 27 46 59

8 Lampung 5 7 46 64 0 21 21 29 72

9 Bangka Belitung Island 0 0 7 70 0 3 3 30 10

10 Riau Island 1 5 3 15 0 16 16 80 20

11 DKI Jakarta 12 100 0 0 0 0 0 0 12

12 West Java 37 100 0 0 0 0 0 0 37

13 Central Java 57 100 0 0 0 0 0 0 57

14 DI Yogyakarta 11 100 0 0 0 0 0 0 11

15 East Java 73 100 0 0 0 0 0 0 73

16 Banten 4 100 0 0 0 0 0 0 4

17 Bali 17 100 0 0 0 0 0 0 17

18 West Nusa Tenggara 1 2 24 57 0 17 17 40 42

19 East Nusa Tenggara 0 0 23 7 17 308 325 93 348

20 West Kalimantan 0 0 27 24 0 86 86 76 113

21 Central Kalimantan 0 0 23 33 0 47 47 67 70

22 South Kalimantan 0 0 45 41 0 64 64 59 109

23 East Kalimantan 5 8 26 40 0 34 34 52 65

24 North Sulawesi 0 0 27 26 0 76 76 74 103

25 Central Sulawesi 0 0 22 24 31 39 70 76 92

26 South Sulawesi 12 15 48 59 6 15 21 26 81

27 Southeast Sulawesi 1 1 11 8 18 110 128 91 140

28 Gorontalo 0 0 19 33 0 38 38 67 57

29 West Sulawesi 0 0 8 18 14 22 36 82 44

30 Maluku 1 1 0 0 137 0 137 99 138

31 North Maluku 0 0 5 10 44 0 44 90 49

32 West Papua 0 0 5 4 112 0 112 96 117

33 Papua 0 0 9 7 113 0 113 93 122

352 13 633 24 515 1,114 1,629 62 2,614Source: Bureau of Personnel, MoH RI

RECAPITULATION OF PHYSICIAN AS ACTIVE NON PERMANENT EMPLOYEE, 2010

No Provinces

Total

TotalReguler Remote Area Very Remote Area

Annex 5.27

Total % Total % 6 Months 12 Months Total %(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

1 Aceh 0 0 3 5 7 45 52 95 55

2 North Sumatera 11 32 13 38 1 9 10 29 34

3 West Sumatera 1 3 12 40 5 12 17 57 30

4 Riau 1 4 16 59 0 10 10 37 27

5 Jambi 0 0 4 24 0 13 13 76 17

6 South Sumatera 0 0 6 86 0 1 1 14 7

7 Bengkulu 0 0 1 7 0 14 14 93 15

8 Lampung 7 28 6 24 0 12 12 48 25

9 Bangka Belitung Island 0 0 4 57 0 3 3 43 7

10 Riau Island 0 0 4 33 0 8 8 67 12

11 DKI Jakarta 0 0 0 0 0 0 0 0 0

12 West Java 19 100 0 0 0 0 0 0 19

13 Central Java 7 100 0 0 0 0 0 0 7

14 DI Yogyakarta 7 100 0 0 0 0 0 0 7

15 East Java 52 100 0 0 0 0 0 0 52

16 Banten 3 100 0 0 0 0 0 0 3

17 Bali 6 100 0 0 0 0 0 0 6

18 West Nusa Tenggara 1 8 5 38 0 7 7 54 13

19 East Nusa Tenggara 0 0 1 1 14 83 97 99 98

20 West Kalimantan 0 0 3 11 0 25 25 89 28

21 Central Kalimantan 0 0 2 13 0 13 13 87 15

22 South Kalimantan 0 0 5 12 0 36 36 88 41

23 East Kalimantan 2 6 6 17 0 27 27 77 35

24 North Sulawesi 0 0 1 14 0 6 6 86 7

25 Central Sulawesi 0 0 1 6 9 8 17 94 18

26 South Sulawesi 2 4 18 40 6 19 25 56 45

27 Southeast Sulawesi 0 0 1 2 7 39 46 98 47

28 Gorontalo 0 0 0 0 0 16 16 100 16

29 West Sulawesi 0 0 0 0 4 15 19 100 19

30 Maluku 0 0 1 2 46 0 46 98 47

31 North Maluku 0 0 1 4 24 0 24 96 25

32 West Papua 0 0 2 15 11 0 11 85 13

33 Papua 0 0 1 10 9 0 9 90 10

119 15 117 15 143 421 564 71 800Source: Bureau of Personnel, MoH RI

No ProvincesRemote Area

RECAPITULATION OF DENTIST AS ACTIVE NON PERMANENT EMPLOYEE, 2010

Very Remote Area

Total

TotalReguler

Annex 5.28

Total % Total % Total %(1) (2) (3) (4) (5) (6) (7) (8) (9)

1 Aceh 216 7 2,662 90 76 3 2,954

2 North Sumatera 2,128 46 2,509 54 3 0 4,640

3 West Sumatera 1,167 73 429 27 0 0 1,596

4 Riau 350 29 872 71 0 0 1,222

5 Jambi 168 20 681 80 0 0 849

6 South Sumatera 322 62 194 38 0 0 516

7 Bengkulu 33 7 406 91 6 1 445

8 Lampung 1,182 80 296 20 1 0 1,479

9 Bangka Belitung Island 53 83 11 17 0 0 64

10 Riau Island 52 26 149 74 1 0 202

11 DKI Jakarta 0 0 0 0 0 0 0

12 West Java 1,837 85 324 15 2 0 2,163

13 Central Java 4,543 100 4 0 0 0 4,547

14 DI Yogyakarta 214 100 0 0 0 0 214

15 East Java 2,850 95 132 4 4 0 2,986

16 Banten 629 69 281 31 0 0 910

17 Bali 314 96 12 4 0 0 326

18 West Nusa Tenggara 166 51 151 46 9 3 326

19 East Nusa Tenggara 3 1 337 97 8 2 348

20 West Kalimantan 3 1 366 88 49 12 418

21 Central Kalimantan 1 2 45 94 2 4 48

22 South Kalimantan 2 2 83 98 0 0 85

23 East Kalimantan 73 70 32 30 0 0 105

24 North Sulawesi 1 5 18 95 0 0 19

25 Central Sulawesi 4 2 198 98 1 0 203

26 South Sulawesi 464 58 331 42 1 0 796

27 Southeast Sulawesi 7 2 324 98 0 0 331

28 Gorontalo 3 25 7 58 2 17 12

29 West Sulawesi 3 1 349 99 0 0 352

30 Maluku 1 1 89 79 23 20 113

31 North Maluku 0 0 57 76 18 24 75

32 West Papua 0 0 32 100 0 0 32

33 Papua 0 0 0 0 0 0 0

16,789 59 11,381 0 206 1 28,376Source: Bureau of Personnel, MoH RI

Total

Total

RECAPITULATION OF MIDWIFE AS ACTIVE NON PERMANENT EMPLOYEE, 2010

No ProvincesReguler Remote Area Very Remote Area

Annex 5.29


1 Aceh 10 4 80 34 148 62 238

2 North Sumatera 1 1 105 66 54 34 160

3 West Sumatera 0 0 28 45 34 55 62

4 Riau 5 10 29 59 15 31 49

5 Jambi 0 0 35 52 32 48 67

6 South Sumatera 0 0 28 93 2 7 30

7 Bengkulu 0 0 38 56 30 44 68

8 Lampung 0 0 50 67 25 33 75


10 Riau Island 0 0 7 26 20 74 27

11 DKI Jakarta 0 0 0 0 0 0 0

12 West Java 1 100 0 0 0 0 1

13 Central Java 0 0 0 0 0 0 0

14 DI Yogyakarta 0 0 0 0 0 0 0

15 East Java 2 100 0 0 0 0 2

16 Banten 0 0 0 0 0 0 0

17 Bali 0 0 0 0 0 0 0



20 West Kalimantan 0 0 31 26 88 74 119



23 East Kalimantan 0 0 34 47 38 53 72

24 North Sulawesi 0 0 32 28 81 72 113


26 South Sulawesi 0 0 59 64 33 36 92


28 Gorontalo 0 0 20 33 41 67 61

29 West Sulawesi 0 0 13 16 66 84 79

30 Maluku 0 0 0 0 340 100 340

31 North Maluku 0 0 6 5 105 95 111

32 West Papua 0 0 8 3 259 97 267

33 Papua 0 0 20 5 368 95 388

19 1 809 23 2,633 76 3,461Source: Bureau of Personnel, MoH RINotes:*Compilation between Recruitment + New Recruitment

RECAPITULATION OF PHYSICIAN RECRUITMENT AS ACTIVE NON PERMANENT EMPLOYEE, 2010


Total

Total

Annex 5.30


1 Aceh 0 0 4 6 61 94 65

2 North Sumatera 0 0 16 52 15 48 31

3 West Sumatera 0 0 14 39 22 61 36

4 Riau 0 0 16 57 12 43 28

5 Jambi 0 0 6 29 15 71 21

6 South Sumatera 0 0 7 70 3 30 10

7 Bengkulu 0 0 1 6 15 94 16

8 Lampung 0 0 7 30 16 70 23


10 Riau Island 0 0 7 47 8 53 15

11 DKI Jakarta 0 0 0 0 0 0 0

12 West Java 0 0 0 0 0 0 0

13 Central Java 0 0 0 0 0 0 0

14 DI Yogyakarta 0 0 0 0 0 0 0

15 East Java 0 0 0 0 0 0 0

16 Banten 0 0 0 0 0 0 0

17 Bali 0 0 0 0 0 0 0



20 West Kalimantan 0 0 4 13 27 87 31



23 East Kalimantan 0 0 10 26 28 74 38

24 North Sulawesi 0 0 1 11 8 89 9


26 South Sulawesi 0 0 18 37 31 63 49


28 Gorontalo 0 0 0 0 13 100 13

29 West Sulawesi 0 0 1 4 23 96 24

30 Maluku 0 0 1 1 111 99 112

31 North Maluku 0 0 1 2 55 98 56

32 West Papua 0 0 2 5 42 95 44

33 Papua 0 0 1 3 30 97 31

0 0 135 14 840 86 975Source: Bureau of Personnel, MoH RINotes:*Compilation between Recruitment + New Recruitment

RECAPITULATION OF DENTIST RECRUITMENT AS ACTIVE NON PERMANENT EMPLOYEE, 2010

Total


Total

Annex 5.31

Total % Total %(1) (2) (3) (4) (5) (6) (7)

1 Aceh 60 5 1,165 95 1,225

2 North Sumatera 643 40 965 60 1,608

3 West Sumatera 667 70 290 30 957

4 Riau 85 20 350 80 435

5 Jambi 89 18 408 82 497

6 South Sumatera 327 75 110 25 437

7 Bengkulu 24 11 188 89 212

8 Lampung 494 70 210 30 704

9 Bangka Belitung Island 19 86 3 14 22

10 Riau Island 33 31 75 69 108

11 DKI Jakarta 0 0 0 0 0

12 West Java 702 84 132 16 834

13 Central Java 1,548 99 10 1 1,558

14 DI Yogyakarta 36 100 0 0 36

15 East Java 871 95 45 5 916

16 Banten 314 76 97 24 411

17 Bali 79 88 11 12 90

18 West Nusa Tenggara 119 53 104 47 223

19 East Nusa Tenggara 0 0 241 100 241

20 West Kalimantan 0 0 237 100 237

21 Central Kalimantan 0 0 37 100 37

22 South Kalimantan 0 0 52 100 52

23 East Kalimantan 54 76 17 24 71

24 North Sulawesi 0 0 12 100 12

25 Central Sulawesi 0 0 190 100 190

26 South Sulawesi 491 59 340 41 831

27 Southeast Sulawesi 0 0 219 100 219

28 Gorontalo 0 0 9 100 9

29 West Sulawesi 0 0 259 100 259

30 Maluku 0 0 75 100 75

31 North Maluku 0 0 63 100 63

32 West Papua 0 0 32 100 32

33 Papua 0 0 0 0 0

6,655 53 5,946 47 12,601Source: Bureau of Personnel, MoH RINotes:*Compilation between Recruitment + New Recruitment

Total

RECAPITULATION OF MIDWIFE RECRUITMENT AS ACTIVE NON PERMANENT EMPLOYEE, 2010

No ProvincesReguler Remote Area

Total

Annex 5.33

RA VRA RA VRA RA VRA RA VRA RA VRA RA VRA RA VRA RA VRA RA VRA(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18) (19) (20) (21) (22) (23) (24) (25) (26) (27) (28) (29)

1 Aceh 29 27 56 29 27 56 100 100 100 20 13 33 16 13 29 80 100 88 13 7 20 13 7 20 100 100 100

2 North Sumatera 22 4 26 22 4 26 100 100 100 30 5 35 27 5 32 90 100 91 13 8 21 13 8 21 100 100 100

3 West Sumatera 7 8 15 7 8 15 100 100 100 9 8 17 9 8 17 100 100 100 8 7 15 8 7 15 100 100 100

4 Riau 5 2 7 5 2 7 100 100 100 7 3 10 7 3 10 100 100 100 7 4 11 7 4 11 100 100 100

5 Jambi 10 5 15 10 5 15 100 100 100 12 3 15 12 3 15 100 100 100 7 4 11 7 4 11 100 100 100

6 South Sumatera 7 0 7 7 0 7 100 0 100 10 1 11 10 1 11 100 0 100 11 0 11 11 0 11 100 0 100

7 Bengkulu 13 11 24 13 11 24 100 100 100 16 6 22 11 6 17 69 100 77 10 3 13 10 3 13 100 100 100

8 Lampung 14 5 19 14 5 19 100 100 100 23 8 31 18 8 26 78 100 84 15 2 17 15 2 17 100 100 100

9 Bangka Belitung Island 3 1 4 3 1 4 100 100 100 4 2 6 4 2 6 0 100 100 0 1 1 0 1 1 0 0 0

10 Riau Island 2 4 6 2 4 6 100 100 100 1 3 4 1 3 4 100 100 100 3 2 5 3 2 5 100 100 100

11 DKI Jakarta 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

12 West Java 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

13 Central Java 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

14 DI Yogyakarta 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

15 East Java 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

16 Banten 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

17 Bali 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

18 West Nusa Tenggara 10 5 15 10 5 15 100 100 100 7 2 9 7 2 9 100 100 100 9 0 9 9 0 9 100 0 100

19 East Nusa Tenggara 6 71 77 6 71 77 100 100 100 7 77 84 7 77 84 100 100 100 4 65 69 4 65 69 100 100 100

20 West Kalimantan 5 12 17 5 12 17 100 100 100 17 23 40 8 23 31 47 100 78 12 4 16 12 4 16 100 100 100

21 Central Kalimantan 9 19 28 9 19 28 100 100 100 4 5 9 4 5 9 100 100 100 11 5 16 11 5 16 100 100 100

22 South Kalimantan 19 9 28 19 9 28 100 100 100 13 12 25 12 12 24 92 100 96 13 8 21 13 8 21 100 100 100

23 East Kalimantan 8 8 16 8 8 16 100 100 100 11 5 16 11 5 16 100 100 100 10 4 14 10 4 14 100 100 100

24 North Sulawesi 15 12 27 15 12 27 100 100 100 7 8 15 5 8 13 71 100 87 4 15 19 4 15 19 100 100 100

25 Central Sulawesi 9 15 24 9 15 24 100 100 100 11 22 33 7 22 29 64 100 88 8 12 20 8 12 20 100 100 100

26 South Sulawesi 27 10 37 27 10 37 100 100 100 24 4 28 12 4 16 50 100 57 13 4 17 13 4 17 100 100 100

27 Southeast Sulawesi 11 34 45 11 34 45 100 100 100 11 28 39 4 28 32 36 100 82 7 19 26 7 19 26 100 100 100

28 Gorontalo 9 3 12 9 3 12 100 100 100 14 7 21 8 7 15 57 100 71 3 6 9 3 6 9 100 100 100

29 West Sulawesi 7 10 17 7 10 17 100 100 100 3 8 11 3 8 11 100 100 100 3 10 13 3 10 13 100 100 100

30 Maluku 0 20 20 0 20 20 0 100 100 0 49 49 0 49 49 0 100 100 0 34 34 0 34 34 0 100 100

31 North Maluku 4 6 10 4 6 10 100 100 100 1 20 21 1 20 21 100 100 100 0 16 16 0 16 16 0 100 100

32 West Papua 0 42 42 0 42 42 0 100 100 2 33 35 2 33 35 0 100 100 0 36 36 0 36 36 0 100 100

33 Papua 10 57 67 10 57 67 100 100 100 6 58 64 4 55 59 67 95 92 0 54 54 0 54 54 0 100 100

261 400 661 261 400 661 100 100 100 270 413 683 210 410 620 78 99 91 184 330 514 184 330 514 100 100 100Source: Bureau of Personnel, MoH RINotes:*percentage is comparison between Realization with Necessity

Need Realization Need RealizationRealization Percentage

Total

RECAPITULATION OF PHYSICIAN RECRUITMENT AS NON PERMANENT EMPLOYEE2010

No Provinces

April June SeptemberPercentage Need Percentage

Criteria Total Criteria Total Criteria Total Criteria Total Criteria Total Criteria Total Criteria TotalTotal Criteria Total Criteria

Annex 5.32

R RA VRA Total R RA VRA Total R RA VRA Total R RA VRA Total R RA VRA Total R RA VRA Total R RA VRA Total R RA VRA Total R RA VRA(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18) (19) (20) (21) (22) (23) (24) (25) (26) (27) (28) (29) (30) (31) (32) (33) (34) (35) (36) (37) (38) (39) (40) (41)

1 Aceh 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 2 0 2

2 North Sumatera 3 0 0 3 2 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 1 5 2 1 8

3 West Sumatera 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

4 Riau 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 1 0 0 0 0 2 0 2

5 Jambi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

6 South Sumatera 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

7 Bengkulu 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

8 Lampung 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 2 0 0 3 0 3

9 Bangka Belitung Island 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

10 Riau Island 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1

11 DKI Jakarta 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

12 West Java 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

13 Central Java 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

14 DI Yogyakarta 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

15 East Java 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1

16 Banten 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

17 Bali 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

18 West Nusa Tenggara 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1

19 East Nusa Tenggara 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 1 0 1 0 1 0 0 0 0 0 0 2 0 2 3 5

20 West Kalimantan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 0 2

21 Central Kalimantan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 1 0 2 0 0 0 2 1 0 3

22 South Kalimantan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1

23 East Kalimantan 1 0 0 1 1 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 4 0 0 4

24 North Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 2 0 2 0 1 0 0 4 0 4

25 Central Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3

26 South Sulawesi 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 2

27 Southeast Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

28 Gorontalo 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1

29 West Sulawesi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

30 Maluku 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1

31 North Maluku 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

32 West Papua 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 2 0 0 2 0 2 2 4

33 Papua 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 2 0 0 0 0 2 0 2

4 0 0 4 4 0 0 4 2 0 0 2 0 0 0 0 0 0 2 2 0 8 2 10 1 1 0 2 1 8 0 9 2 9 6 14 26 10 50Source: Bureau of Personnel, MoH RI

Recruitment 2010

JuneApril

Total

TOTAL

April June SeptemberR

Recruitment 2009

April SeptemberJuneVRA TotalRA

PERPANJANGAN, 2010

ACTIVE PHYSICIAN/DENTIST AS NON PERMANENT EMPLOYEE IN MINISTRY OF HEALTHUNTIL DECEMBER 2010

NO Provinces

Recruitment 2008

Annex 5.34

RA VRA RA VRA RA VRA RA VRA RA VRA RA VRA RA VRA RA VRA RA VRA(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18) (19) (20) (21) (22) (23) (24) (25) (26) (27) (28) (29)

1 Aceh 32 26 58 0 7 7 0 27 12 17 27 44 0 12 12 0 44 27 17 9 26 1 2 3 6 22 12

2 North Sumatera 33 6 39 6 3 9 18 50 23 25 10 35 3 3 6 12 30 17 17 9 26 2 4 6 12 44 23

3 West Sumatera 12 8 20 2 4 6 17 50 30 9 7 16 2 4 6 22 57 38 11 5 16 8 5 13 73 100 81

4 Riau 6 1 7 5 1 6 83 100 86 4 2 6 4 2 6 100 100 100 5 3 8 5 3 8 100 100 100

5 Jambi 9 5 14 2 3 5 22 60 36 19 5 24 0 1 1 0 20 4 10 9 19 2 5 7 20 56 37

6 South Sumatera 5 0 5 2 0 2 40 0 40 9 2 11 3 1 4 33 50 36 8 1 9 1 0 1 13 0 11

7 Bengkulu 19 11 30 1 6 7 5 55 23 9 9 18 0 2 2 0 22 11 11 6 17 0 3 3 0 50 18

8 Lampung 19 7 26 4 6 10 21 86 38 20 10 30 0 2 2 0 20 7 18 3 21 1 3 4 6 100 19

9 Bangka Belitung Island 3 2 5 0 2 2 0 100 40 3 1 4 2 1 3 67 100 75 3 0 3 2 0 2 67 0 67

10 Riau Island 2 9 11 1 4 5 50 44 45 2 5 7 2 0 2 100 0 29 3 8 11 0 2 2 0 25 18

11 DKI Jakarta 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

12 West Java 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

13 Central Java 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

14 DI Yogyakarta 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

15 East Java 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

16 Banten 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

17 Bali 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

18 West Nusa Tenggara 12 2 14 2 1 3 17 50 21 7 6 13 0 4 4 0 67 31 6 3 9 1 0 1 17 0 11

19 East Nusa Tenggara 10 66 76 0 29 29 0 44 38 0 51 51 0 17 17 0 33 33 1 38 39 0 18 18 0 47 46

20 West Kalimantan 5 15 20 1 6 7 20 40 35 9 17 26 1 3 4 11 18 15 7 13 20 2 2 4 29 15 20

21 Central Kalimantan 14 17 31 1 8 9 7 47 29 1 4 5 0 1 1 0 25 20 7 9 16 0 1 1 0 11 6

22 South Kalimantan 15 6 21 1 5 6 7 83 29 13 12 25 1 8 9 8 67 36 11 9 20 2 7 9 18 78 45

23 East Kalimantan 14 7 21 2 7 9 14 100 43 11 6 17 4 4 8 36 67 47 7 7 14 2 5 7 29 71 50

24 North Sulawesi 12 11 23 1 3 4 8 27 17 10 10 20 0 2 2 0 20 10 12 10 22 0 0 0 0 0 0

25 Central Sulawesi 12 24 36 0 6 6 0 25 17 6 16 22 1 8 9 17 50 41 5 10 15 0 2 2 0 20 13

26 South Sulawesi 17 11 28 4 10 14 24 91 50 18 5 23 4 5 9 22 100 39 19 5 24 5 5 10 26 100 42

27 Southeast Sulawesi 6 23 29 0 18 18 0 78 62 7 20 27 0 9 9 0 45 33 3 19 22 0 15 15 0 79 68

28 Gorontalo 10 4 14 0 2 2 0 50 14 3 7 10 0 1 1 0 14 10 5 6 11 0 3 3 0 50 27

29 West Sulawesi 8 3 11 0 3 3 0 100 27 1 7 8 0 4 4 0 57 50 1 7 8 0 5 5 0 71 63

30 Maluku 3 10 13 1 10 11 33 100 85 0 11 11 0 9 9 0 82 82 0 5 5 0 5 5 0 100 100

31 North Maluku 3 9 12 1 8 9 33 89 75 0 11 11 0 11 11 0 100 100 3 5 8 0 5 5 0 100 63

32 West Papua 4 7 11 0 7 7 0 100 64 2 4 6 1 4 5 50 100 83 1 3 4 1 3 4 100 100 100

33 Papua 3 4 7 0 2 2 0 50 29 7 16 23 1 3 4 14 19 17 3 14 17 0 5 5 0 36 29

285 290 575 37 159 196 13 55 34 212 281 493 29 121 150 14 43 30 194 216 410 35 108 143 18 50 35Source: Bureau of Personnel, MoH RINotes:*percentage is comparison between Realization with Necessity

SeptemberNecessity Percentage NecessityNecessity Realization Realization Percentage

Total

RECAPITULATION OF DENTIST RECRUITMENT AS NON PERMANENT EMPLOYEE2010

No Provinces

April June

CriteriaRealization Percentage

TotalCriteria Total Criteria TotalTotal CriteriaCriteria CriteriaTotal Total CriteriaTotal Criteria Total Criteria Total

TrainingFrequencies I II III IV V

(1) (2) (3) (4) (5) (6) (7) (8) (9)

1 Pusdiklat SDM Kesehatan 74 0 0 2 10 58 4

2 BBPK Cilandak 33 0 0 1 32 0 0

3 BPPK Ciloto 46 1 1 1 0 42 1

4 Bapelkesnas Lemahabang 16 0 1 2 8 5 0

5 Bapelkesnas Salaman Magelang 19 0 0 3 10 6 0

6 Bapelkesnas Makasar 19 0 0 0 0 19 0

207 1 2 9 60 130 5

7 BLTKM Jantho 25 23 0 0 2 0 0

8 Bapelkes Province of South Sumatera 36 0 0 0 30 6 0

9 Bapelkes Province of West Sumatera 87 63 1 2 14 7 0

10 Bapelkes Province of Riau 15 4 0 5 3 3 0

11 Bapelkes Province of Jambi 40 1 18 13 8 0 0

12 Bapelkes Province of Bengkulu 52 37 2 3 9 0 1

13 Bapelkes Province of Lampung 28 0 0 22 5 1 0

14 Bapelkes Province of South Sumatera 41 7 0 0 23 11 0

15 BPTKM Dinkes Province of West Java 62 62 0 0 0 0 0

16 BPTPK Gombong 22 0 0 0 22 0 0

17 Bapelkes Yogyakarta 21 5 0 1 8 7 0

18 Bapelkes Bendul Merisi Murnajati 61 26 2 1 30 2 0

19 UPTD BPKKTK Province of Bali 25 17 0 4 3 0 1

20 Bapelkes Mataram 62 50 0 0 8 1 3

21 UPTD Pel. Tenaga Kes Kupang 28 13 6 4 5 0 0

22 Upelkes Province of West Kalimantan 41 29 0 0 1 8 3

23 Bapelkes Province of Central Kalimantan 24 7 0 3 14 0 0

24 Bapelkes Province of East Kalimantan 35 6 1 17 8 1 2

25 Bapelkes Province of South Kalimantan 28 20 0 2 3 3 0

26 Bapelkes Province of North Sulawesi 33 24 0 5 4 0 0

27 Bapelkes Palu 29 9 1 0 1 18 0

28 Bapelkes Province Southeast Sulawesi 20 2 3 7 8 0 0

29 Bapelkes Province of Maluku 11 0 0 0 10 1 0

30 Bapelkes Province of Papua 19 13 0 0 0 6 0

845 418 34 89 219 75 10

1,052 419 36 98 279 205 15

100 39.8 3.4 9.3 26.5 19.5 1.4 Source: National Board of Health Human Resources Development & Empowerment, MoH RI

Percentage

Sub Total

Sub Total

Total

Annex 5.35

DISTRIBUTION OF INVOLVED LEVEL FROM HEALTH EDUCATION INSTITUTION IN INDONESIAIN TRAINING AND EDUCATION INSTITUTION, 2009

No Training and Education Institution Involved Level (Frequency) Not Clear

< 40 41 - 50 51 - 60 > 60(1) (2) (3) (4) (5) (6) (7) (8)

1 Pusdiklat SDM Kesehatan 14 0 2 10 2 0

2 BBPK Cilandak 11 0 0 7 4 0

3 BPPK Ciloto 7 2 2 3 0 0

4 Bapelkesnas Lemahabang 8 0 3 5 0 0

5 Bapelkesnas Salaman Magelang 12 0 5 6 1 0

6 Bapelkesnas Makasar 6 0 0 3 3 0

58 2 12 34 10 0

7 BLTKM Jantho 1 0 0 1 0 0

8 Bapelkes Province of South Sumatera 9 2 5 2 0 0

9 Bapelkes Province of West Sumatera 5 0 0 4 1 0

10 Bapelkes Province of Riau 5 0 3 2 0 0

11 Bapelkes Province of Jambi 3 0 0 3 0 0

12 Bapelkes Province of Bengkulu 3 0 0 3 0 0

13 Bapelkes Province of Lampung 10 2 1 6 0 1

14 Bapelkes Province of South Sumatera 3 0 1 1 1 0

15 BPTKM Dinkes Province of West Java 9 0 2 5 2 0

16 BPTPK Gombong 5 0 0 0 0 5

17 Bapelkes Yogyakarta 10 0 1 6 3 0

18 Bapelkes Bendul Merisi Murnajati 7 1 4 1 1 0

19 UPTD BPKKTK Province of Bali 2 0 0 2 0 0

20 Bapelkes Mataram 11 0 4 6 1 0

21 UPTD Pel. Tenaga Kes Kupang 6 2 1 3 0 0

22 Upelkes Province of West Kalimantan 1 0 0 1 0 0

23 Bapelkes Province of Central Kalimantan 2 1 1 0 0 0

24 Bapelkes Province of East Kalimantan 4 1 1 2 0 0

25 Bapelkes Province of South Kalimantan 6 4 2 0 0 0

26 Bapelkes Province of North Sulawesi 5 1 3 1 0 0

27 Bapelkes Palu 2 0 0 2 0 0

28 Bapelkes Province Southeast Sulawesi 2 0 1 1 0 0

29 Bapelkes Province of Maluku 1 0 0 0 1 0

30 Bapelkes Province of Papua 2 0 0 0 1 1

114 14 30 52 11 7

172 16 42 86 21 7Source: National Board of Health Human Resources Development & Empowerment, MoH RI

Not Clear

Sub Total

Sub Total

Total

Annex 5.36

DISTRIBUTION OF WIDYAISWARA FROM TRAINING AND EDUCATION INSTITUTION IN INDONESIABY AGE GROUP, 2009

No Training and Education Institution TotalAge Groups

Annex 5.37

Frequency Total Frequency Total Frequency Total Frequency Total Frequency Total Frequency Total Frequency Total(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16)

1 Pusdiklat SDM Kesehatan 74 2385 22 752 6 204 10 453 14 396 18 557 4 23

2 BBPK Cilandak 33 1093 9 356 5 171 0 0 18 514 0 0 1 52

3 BPPK Ciloto 46 3438 16 2001 0 0 1 25 18 944 3 110 8 358

4 Bapelkesnas Lemahabang 16 1325 6 758 0 0 0 0 9 537 1 30 0 0

5 Bapelkesnas Salaman Magelang 19 1549 0 0 0 0 0 0 0 0 0 0 19 1549

6 Bapelkesnas Makasar 19 779 1 58 0 0 0 0 15 568 3 153 0 0

Sub Total 207 10569 54 3925 11 375 11 478 74 2959 25 850 32 1982

7 BLTKM Jantho 25 3854 1 60 0 0 6 225 18 3569 0 0 0 0

8 Bapelkes Province of South Sumatera 36 1099 2 77 0 0 6 150 27 842 1 30 0 0

9 Bapelkes Province of West Sumatera 87 3014 2 56 3 151 25 1239 32 913 3 78 22 577

10 Bapelkes Province of Riau 15 439 5 69 0 0 2 60 4 120 0 0 4 190

11 Bapelkes Province of Jambi 40 906 0 0 0 0 25 575 11 236 3 75 1 20

12 Bapelkes Province of Bengkulu 52 1827 0 0 1 40 9 290 24 829 0 0 18 668

13 Bapelkes Province of Lampung 28 2749 0 0 0 0 2 60 25 2399 1 290 0 0

14 Bapelkes Province of South Sumatera 41 1420 4 198 0 0 1 30 34 1132 2 60 0 0

15 BPTKM Dinkes Province of West Java 62 2355 16 961 0 0 0 0 41 1235 0 0 5 159

16 BPTPK Gombong 22 1165 0 0 0 0 12 860 7 204 3 101 0 0

17 Bapelkes Yogyakarta 21 816 1 50 0 0 0 0 20 766 0 0 0 0

18 Bapelkes Bendul Merisi Murnajati 61 3327 5 401 1 42 11 606 34 1661 10 617 0 0

19 UPTD BPKKTK Province of Bali 25 1033 3 89 0 0 1 30 12 551 0 0 9 363

20 Bapelkes Mataram 62 1947 0 0 0 0 12 385 37 1157 1 30 12 375

21 UPTD Pel. Tenaga Kes Kupang 28 666 0 0 0 0 8 209 20 457 0 0 0 0

22 Upelkes Province of West Kalimantan 41 1974 0 0 0 0 36 1782 0 0 3 112 2 80

23 Bapelkes Province of Central Kalimantan 24 923 0 0 0 0 3 140 3 160 18 623 0 0

24 Bapelkes Province of East Kalimantan 35 757 0 0 1 35 15 387 16 195 1 30 2 110

25 Bapelkes Province of South Kalimantan 28 1417 1 161 0 0 2 145 24 1088 1 23 0 0

26 Bapelkes Province of North Sulawesi 33 1070 2 86 2 115 2 71 27 798 0 0 0 0

27 Bapelkes Palu 29 1014 0 0 0 0 1 85 22 649 2 102 4 178

28 Bapelkes Province Southeast Sulawesi 20 565 0 0 0 0 0 0 14 394 6 171 0 0

29 Bapelkes Province of Maluku 11 356 0 0 0 0 0 0 11 356 0 0 0 0

30 Bapelkes Province of Papua 19 874 0 0 1 93 2 60 15 691 1 30 0 0

Sub Total 845 35,567 42 2,208 9 476 181 7,389 478 20,402 56 2,372 79 2,720

Total 1,052 46,136 96 6,133 20 851 192 7,867 552 23,361 81 3,222 111 4,702Source: National Board of Health Human Resources Development & Empowerment, MoH RI

Management Technic Functional Others

DISTRIBUTION OF TRAINING FREQUENCY AND NUMBER OF PARTICIPANTS IN HEALTH TRAINING AND EDUCATION IN INDONESIABY TYPE OF TRAINING AND EDUCATION INSTITUTION, 2009

No Training and Education InstitutionTotal Pre Post (Prajabatan ) Grading

(Penjenjangan )

Annex 5.38

Allocation (Rp) Realization (Rp) % Allocation (Rp) Realization (Rp) % Allocation (Rp) Realization (Rp) % Allocation (Rp) Realization (Rp) %

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16)

1 General Secretary 2,734,841,910,000 2,037,415,851,004 74.50 36,668,106,000 30,749,597,527 83.86 114,936,100,000 101,520,431,987 88.33 122,680,000,000 105,371,462,863 85.89 3,009,126,116,000 2,275,057,343,381

2 General Inspectorate 76,977,600,000 60,730,486,059 78.89 0 0 0 0 0 0 0 0 0 76,977,600,000 60,730,486,059

3 DG of Community Health 1,626,575,397,000 1,348,283,872,638 82.89 59,150,725,000 53,383,588,780 90.25 573,306,908,000 466,844,747,815 81.43 7,000,000,000 6,923,437,760 98.91 2,266,033,030,000 1,875,435,646,993

4 DG of Medical Care 4,911,288,035,000 4,673,933,560,560 95.17 6,604,289,127,000 6,018,876,798,657 91.14 6,600,000,000 6,072,395,985 92.01 1,683,200,000,000 1,582,016,309,281 93.99 13,205,377,162,000 12,280,899,064,483

5 DG of Disease Control and Environmental Health 1,858,133,435,000 1,605,706,258,864 86.42 395,548,915,000 358,991,405,357 90.76 60,974,545,000 52,926,067,513 86.80 115,587,826,000 92,581,830,665 80.10 2,430,244,721,000 2,110,205,562,399

6 DG of Pharmaceutical and Medical Device 954,304,590,000 914,389,369,109 95.82 0 0 0 16,500,000,000 15,161,018,191 91.88 0 0 0 970,804,590,000 929,550,387,300

7 Badan Penelitian dan Pengembangan Kesehatan 308,837,205,000 265,619,517,518 86.01 110,804,579,000 101,722,631,561 91.80 0 0 0 0 0 0 419,641,784,000 367,342,149,079

8 National Board of Health Human Resources Development & Empowerment 1,531,081,712,000 1,373,952,080,563 89.74 1,313,084,861,000 1,179,451,452,695 89.82 52,432,419,000 43,834,163,375 83.60 0 0 0 2,896,598,992,000 2,597,237,696,633

14,002,039,884,000 12,280,030,996,315 87.70 8,519,546,313,000 7,743,175,474,577 90.89 824,749,972,000 686,358,824,866 83.22 1,928,467,826,000 1,786,893,040,569 92.66 25,274,803,995,000 22,496,458,336,327

Source: Bureau of Keuangan dan BMN, MoH

Local/Provincial Office Deconsentration Budget Supporting Task Budget (Tugas Pembantuan )

ALLOCATION AND REALIZATION MINISTRY OF HEALTH

Budget of Ministry of Health

BY ECHELON I, 2010

Ministry of Health

Total of Allocation (Rp) Total of Realization (Rp)

Echelon I UnitNo. Central Office

Annex 5.39

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

1 Aceh 4,670,647 2,682,285 524,638 5,550 - - 1,731,925 4,944,398 105.86

2 North Sumatera 13,042,317 4,124,247 908,884 100,207 - - 565,473 5,698,811 43.69

3 West Sumatera 4,697,764 1,361,281 535,646 98,829 - - 279,272 2,275,028 48.43

4 Riau 5,422,961 1,230,911 299,421 42,669 - - 2,042,651 3,615,652 66.67

5 Jambi 2,840,265 784,842 247,420 49,196 - - 534,471 1,615,929 56.89

6 South Sumatera 7,288,591 2,793,317 487,956 - - - 4,016,349 7,297,622 100.12

7 Bengkulu 1,717,789 632,098 181,481 13,488 - - 147,857 974,924 56.75

8 Lampung 8,129,250 3,146,184 416,025 199,512 - - 339,594 4,101,315 50.45

9 Bangka Belitung Island 1,135,891 116,726 85,602 23,333 - - 621,230 846,891 74.56

10 Riau Island 1,711,972 277,589 86,169 151,213 - - 1,002,000 1,516,971 88.61

11 DKI Jakarta 9,146,181 675,718 857,007 1,560,213 - - 341,000 3,433,938 37.55

12 West Java 42,693,951 10,700,175 2,357,903 414,243 - - 5,002,792 18,475,113 43.27

13 Central Java 32,770,455 11,715,881 2,096,440 214,304 - - 1,172,875 15,199,500 46.38

14 DI Yogyakarta 3,434,533 942,129 392,563 68,223 - - 204,157 1,607,072 46.79

15 E t J 37 432 020 10 710 051 2 189 495 698 482 1 291 881 14 889 909 39 78

DATA OF HEALTH INSURANCE PARTICIPANT, 2010

No Province

Participant of Health Insurance (person)

Population Number Jamkesmas Jamkesda %Insurance CompanyAskes PNS dan TNI Polri Jamsostek Total of InsuranceOther Private

Insurance

15 East Java 37,432,020 10,710,051 2,189,495 698,482 - - 1,291,881 14,889,909 39.78

16 Banten 10,579,005 2,910,506 421,326 560,648 - - 37,978 3,930,458 37.15

17 Bali 3,516,000 548,617 356,332 88,954 - - 2,535,886 3,529,789 100.39

18 West Nusa Tenggara 4,434,012 2,028,491 297,138 7,844 - - 572,976 2,906,449 65.55

19 East Nusa Tenggara 4,540,053 2,798,871 363,699 5,877 - - 545,375 3,713,822 81.80

20 West Kalimantan 4,319,142 1,584,451 310,171 2,484 - - 405,231 2,302,337 53.31

21 Central Kalimantan 2,236,278 763,556 218,143 - - - 421,962 1,403,661 62.77

22 South Kalimantan 3,588,444 843,837 323,033 47,624 - - 980,848 2,195,342 61.18

23 East Kalimantan 3,016,800 910,925 325,820 285,758 - - 1,072,627 2,595,130 86.02

24 North Sulawesi 2,228,856 485,084 272,336 62,771 - - 114,210 934,401 41.92

25 Central Sulawesi 2,396,224 851,027 254,125 14,849 - - 333,057 1,453,058 60.64

26 South Sulawesi 7,868,358 2,449,737 751,549 86,233 - - 4,601,568 7,889,087 100.26

27 Southeast Sulawesi 1,953,478 1,144,447 220,191 87 - - 89,643 1,454,368 74.45

28 Gorontalo 1,143,645 431,299 92,379 9,024 - - - 532,702 46.58

29 West Sulawesi 1,163,342 473,817 88,550 - - - 14,500 576,867 49.59

30 Maluku 2,498,581 840,680 178,562 4,040 - - 714,969 1,738,251 69.57

31 North Maluku 1,046,951 302,436 102,951 4,040 - - 170,649 580,076 55.41

32 West Papua 729,962 521,558 80,962 - - - - 602,520 82.54

33 Papua 2,640,760 1,943,517 185,494 12,608 - - - 2,141,619 81.10

Central - 2,673,710 854,854 - 15,351,532 2,856,539 - 21,736,635 9.21

236,034,478 76,400,000 17,364,265 4,832,303 15,351,532 2,856,539 31,905,006 148,709,645 63.00

32.37 7.36 2.05 6.50 1.21 13.52 63.00Source: Center for Health Financing and Insurance, MoH

NATIONAL

%

Annex 5.40

Specialist

1/2/AV(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13)

I General Secretary 0

Central Office PNS 9 261 11 361 247 4 478 45 50 1,466

CPNS 0 12 0 82 45 0 0 0 0 139

Technical Implementation Unit PNS 0 6 0 112 84 0 28 2 2 234

CPNS 0 0 14 25 0 0 0 0 0 39

DPK/DPB 0 675 29 37 220 11 64 4 0 1,040

SUBTOTAL 9 954 54 617 596 15 570 51 52 2,918II General Inspectorate

PNS 0 128 2 69 11 0 24 0 2 236

CPNS 0 9 0 31 2 0 0 0 0 42

SUBTOTAL 0 137 2 100 13 0 24 0 2 278III DG of Community Health Care

Central Office PNS 2 156 1 107 47 0 76 14 11 414

CPNS 0 6 0 23 5 0 0 0 0 34


CPNS 0 7 0 22 24 0 0 0 0 53

SUBTOTAL 2 257 16 240 253 1 191 26 17 1,003IV DG of Medical Care


CPNS 0 0 0 10 2 0 0 0 0 12

Technical Implementation Unit PNS 21 1,711 1,515 3,789 10,685 277 10,782 1,296 689 30,765

CPNS 0 263 0 437 1,677 13 9 0 0 2,399

SUBTOTAL 23 2,127 1,518 4,376 12,415 290 10,928 1,300 698 33,675V DG of Disease Control and Environmental Health


CPNS 0 11 0 21 7 0 0 0 0 39

Technical Implementation Unit PNS 4 367 22 828 1,107 122 789 74 64 3,377

CPNS 0 18 0 76 313 0 0 0 0 407

SUBTOTAL 7 597 23 1,120 1,488 129 940 88 82 4,474VI DG of Pharmaceutical and Medical Device 0

PNS 0 109 0 29 36 0 38 1 0 213

CPNS 0 10 0 4 2 0 0 0 0 16

SUBTOTAL 0 119 0 33 38 0 38 1 0 229VII National Board of Health Research and Development


CPNS 0 16 0 58 25 0 0 0 0 99


CPNS 0 10 0 51 36 0 0 0 0 97

SUBTOTAL 24 274 7 459 238 5 317 52 60 1,436

VIII National Board of Health Human Resources Development & EmpowermentCentral Office PNS 0 99 1 172 45 0 156 19 24 516

CPNS 0 5 0 26 6 0 0 0 0 37

Technical Implementation Unit PNS 17 1,974 36 2,895 944 48 1,886 386 330 8,516

CPNS 0 19 0 255 206 0 0 0 0 480

SUBTOTAL 17 2,097 37 3,348 1,201 48 2,042 405 354 9,549

82 6,306 1,655 10,160 16,191 488 14,988 1,922 1,263 53,055 Source: Bureau of Personnel, MoH RI

DISTRIBUTION OF MOH EMPLOYEE IN CENTRAL OFFICE, TECHNICAL IMPLEMENTATION UNIT AND DPK/DPBDETAILS BY EDUCATION STRATA IN DECEMBER, 2010

No Organization

Education Strata

S1TotalPrimary

SchoolJunior High

SchoolS2

TOTAL

D III D I Senior High ShoolS3

Status of Employee

Annex 6.1

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

1 Brunei Darussalam 0.4 66 72 2.3 27 70 3 43 50,200

2 Philippines 94.0 313 63 2.1 33 63 4 59 3,900

3 Cambodia 15.1 83 20 1.9 35 62 3 61 1,820

4 Lao PDR 6.4 27 27 2.0 39 57 4 75 2,060

5 Malaysia 28.9 87 63 2.1 32 63 5 59 13,740

6 Sinapore 5.1 7,526 100 2.1 18 73 9 37 47,940

7 Viet Nam 88.9 268 28 1.4 25 67 8 49 2,700

8 Indonesia 235.5 * 124 43 1.4 28 66 6 52 3,830

9 Myanmar 53.4 79 31 0.8 27 70 3 43 1,290

10 Thailand 68.1 133 31 1.0 22 71 7 41 5,990

11 Bangladesh 164.4 1,142 25 1.6 32 64 4 56 1,440

12 Bhutan 0.7 15 32 2.5 31 64 5 56 4,880

13 India 1188.8 362 29 1.6 32 63 5 59 2,960

14 Korea DPR 22.8 189 60 0.5 22 69 9 45 -

15 Maldives 0.3 1,070 35 1.4 30 65 5 54 5,280

16 Nepal 28.0 191 17 2.1 37 59 4 69 1,120

17 Sri Lanka 20.7 315 15 0.8 26 68 6 47 4,480

18 Timor Leste 1.2 77 22 3.7 45 52 3 92 4,690 Sumber : - World Population Data Sheet, USAID, 2010 - The State of The Worlds Children, 2011: Population Growth RateNote: *) Population Census 2010 : 237.6 million

DEMOGRAPHY IN ASEAN AND SEARO MEMBER STATES

No Countries

Population Growth Rate

2000-2009 (%)

2010

Population (million) Mid 2010

Density (per Square Kilometer)

Urban Population

(%)

Population Aged 0-14

(%)


(%)


(%)

Dependency Ratio (%)

GNI PPP per capita (US$),

2008

Annex 6.2

M F M+F M F M+F M F M+F2009 2008

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18)

1 Brunei Darussalam 0.804 37 0.805 75 80 77 1.7 16 3 6 5 5 7 6 7 21 [13 - 34]

2 Philippines 0.635 97 0.638 70 74 72 3.2 26 5 29 23 26 36 30 33 94 [61 - 140]

3 Cambodia 0.489 124 0.494 59 63 61 3.3 25 8 75 61 68 95 80 88 290 [180 - 480]

4 Lao PDR 0.490 122 0.497 63 66 65 3.5 28 7 52 40 46 62 55 59 580 [320 - 1000]

5 Malaysia 0.739 57 0.744 72 77 74 2.6 21 5 6 5 6 7 5 6 31 [14 - 68]

6 Sinapore 0.841 27 0.846 79 84 81 1.2 10 4 3 2 2 3 2 3 9 [8 - 10]

7 Viet Nam 0.566 113 0.572 72 76 74 2.1 17 5 19 20 19 25 23 24 56 [27 - 120]

8 Indonesia 0.593 108 0.600 69 73 71 * 2.4 20 6 33 27 30 * 42 35 39 * 240 [140 - 380] *

9 Myanmar 0.444 132 0.451 56 60 58 2.4 20 11 61 47 54 79 63 71 240 [140 - 410]

10 Thailand 0.648 92 0.654 66 72 69 1.8 15 9 13 10 12 15 12 13 48 [32 - 68]

11 Bangladesh 0.463 129 0.469 65 67 66 2.4 22 7 44 39 41 53 51 52 340 [170 - 660]

12 Bhutan - - - 67 68 68 3.1 25 8 57 48 52 84 73 79 200 [110 - 370]

13 India 0.512 119 0.519 63 65 64 2.6 23 7 50 51 50 62 70 66 230 [150 - 350]

14 Korea DPR - - - 61 66 63 2.0 15 10 28 25 26 35 31 33 250 [84 - 690]

15 Maldives 0.595 107 0.602 72 74 73 2.5 22 3 12 10 11 14 11 13 37 [21 - 64]

16 Nepal 0.423 138 0.428 64 65 64 3.0 28 8 38 39 39 49 48 48 380 [210 -650]

17 Sri Lanka 0.653 91 0.658 72 76 74 2.4 19 7 15 11 13 18 13 16 39 [26 - 57]

18 Timor Leste 0.497 120 0.502 60 62 61 5.7 41 10 54 42 48 64 49 56 370 [150 - 860]

Source: - World Population Data Sheet, USAID, 2010 - Human Development Report 2010: Human Development Index - World Health Statistics 2011 WHO: U5MR, Maternal Mortality Rate

BIRTH RATE, MORTALITY RATE AND HUMAN DEVELOPMENT INDEX

Maternal Mortality Rate per 100,000 live

births

Life Expectancy at Birth (Eo)

Under five Mortality Rate (U5MR)

Human Development

Index

Total Fertility Rate (TFR)

Crude Birth Rate per 1000

Population

Crude Death Rate per 1000

PopulationNo Countries

IN ASEAN & SEARO MEMBER STATES

2010 2010 2009

HDI RankHuman

Development Index

Infant Mortality Rate (IMR)

Annex 6.3

Urban Rural Total Urban Rural Total(1) (2) (3) (4) (5) (6) (7) (8)

1 Brunei Darussalam - - - - - -

2 Philippines 93 87 91 80 69 76

3 Cambodia 81 56 61 67 18 29

4 Lao PDR 72 51 57 86 38 53

5 Malaysia 100 99 100 96 95 96

6 Sinapore 100 - 100 100 - 100

7 Viet Nam 99 92 94 94 67 75

8 Indonesia 89 71 80 67 36 52

9 Myanmar 75 69 71 86 79 81

10 Thailand 99 98 98 95 96 96

11 Bangladesh 85 78 80 56 52 53

12 Bhutan 99 88 92 87 54 65

13 India 96 84 88 54 21 31

14 Korea DPR 100 100 100 - - -

15 Maldives 99 86 91 100 96 98

16 Nepal 93 87 88 51 27 31

17 Sri Lanka 98 88 90 88 92 91

18 Timor Leste 86 63 69 76 40 50Source: The State of The Worlds Children, 2011

POPULATION USING CLEAN WATER SOURCE AND HYGIENIC SANITATION FACILITIESIN ASEAN & SEARO, 2008

(%) Population Using Clean Water Source

(%) Population Using Hygienic Sanitation FacilitiesNo Countries

Annex 6.4

Case Detection Rate Succes Rate2008 2009 2009 2008

(1) (2) (3) (4) (6) (7) (8) (9)

1 Brunei Darussalam 72 [21-124] 60 [53-69] 4,2 1,7 [1,4-2,2] 89 [77-100] 87

2 Philippines 520 [486-554] 280 [228-338] 52 35 [23-49] 57 [47-70] 88

3 Cambodia 693 [316-1115] 442 [377-512] 79 71 [50-95] 60 [52-70] 95

4 Lao PDR 131 [54-221] 89 [72-107] 32 12 [6,8-19] 68 [57-84] 93

5 Malaysia 109 [47-173] 83 [75-90] 15 8,6 [6,4-11] 76 [70-84] 78

6 Sinapore 43 [13-74] 36 [32-42] 2,5 2,3 [1,9-3,0] 89 [77-100] 81

7 Viet Nam 333 [143-580] 200 [151-256] 34 36 [21-56] 54 [42-72] 92

8 Indonesia 285 [120-482] 189 [154-228] 27 27 [16-41] 67 [56-83] 91

9 Myanmar 597 [266-995] 404 [328-487] 57 59 [36-87] 64 [53-78] 85

10 Thailand 189 [84-315] 137 [111-165] 19 18 [11-27] 69 [57-85] 82

11 Bangladesh 425 [197-697] 225 [183-271] 50 51 [37-68] 44 [37-54] 91

12 Bhutan 179 [46-313] 158 [132-186] 15 8,3 [4,5-17] 100 [87-120] 91

13 India 249 [105-419] 168 [137-202] 23 23 [14-36] 67 [56-83] 87

14 Korea DPR 423 [126-739] 345 [294-400] 39 25 [13-45] 93 [80-110] 89

15 Maldives 47 [14-81] 39 [33-45] 2,9 2,6 [1,4-4,6] 83 [72-96] 45

16 Nepal 240 [97-408] 163 [133-197] 22 21 [13-24] 73 [60-89] 89

17 Sri Lanka 101 [41-172] 66 [54-80] 9,6 9,2 [5,3-15] 70 [58-85] 85

18 Timor Leste 744 [294-1285] 498 [406-601] 83 66 [36-107] 84 [70-100] 85

Source: World Health Statistics 2011, WHONote: - CDR = Case Detection Rate - SR = Succes Rate

No

TUBERCULOSIS IN ASEAN AND SEARO MEMBER STATES2008/2009

Prevalence of Tuberculosis


Incidence of Tuberculosis


Proportion of Tuberculosis Cases through DOTS

2009

CountriesIncidence of Tuberculosis per 100,000

Population

Annex 6.5

Estimation (low - high estimation) Estimation (low - high estimation) Estimation (low - high estimation) Estimation (low - high

estimation) Estimation (low - high estimation)

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

1 Brunei Darussalam … … … … … … … … … …

2 Philippines 8,700 [ 6.100 - 13.000 ] 8,600 [ 6.000 - 13.000 ] <0,1 [ < 0,1 - <0,1 ] 2,600 [ 1.800 - 3.900 ] < 200 [ <100 - <500 ]

3 Cambodia 63,000 [ 42.000 - 90.000 ] 56,000 [ 38.000 - 82.000 ] 0,5 [ 0,4 - 0,8 ] 35,000 [ 23.000 - 52.000 ] 3 100 [ 1.000 - 5.600 ]

4 Lao PDR 8,500 [ 6.000 - 13.000 ] 8,300 [ 5.800 - 12.000 ] 0.2 [ 0,2 - 0,4 ] 3 500 [ 2.400 - 5.500 ] < 200 [ <100 - <500 ]

5 Malaysia 100,000 [ 83.000 - 120.000 ] 100,000 [ 83.000 - 120.000] 0.5 [ 0,4 - 0,6 ] 11,000 [ 8.600 - 15.000 ] 5,800 [ 4.500 - 7.200 ]

6 Sinapore 3,400 [ 2.500 - 4.400 ] 3,300 [ 2.400 - 4.300 ] 0,1 [ 0,1 - 0,1 ] 1,000 [ <1.000 - 1.300] < 100 [ <100 - <500 ]

7 Viet Nam 280,000 [ 220.000 - 350.000 ] 270,000 [ 220.000 - 350.000] 0,4 [ 0,3 - 0,5 ] 81,000 [ 63.000 - 100.000 ] 14,000 [ 9.500 - 20.000 ]

8 Indonesia 310,000 [ 200.000 - 460.000 ] 300,000 [ 200.000 - 460.000 ] 0,2 [ 0,1 - 0,3 ] 88,000 [ 58.000 - 130.000 ] 8,300 [ 3.800 - 15.000 ]

9 Myanmar 240,000 [ 200.000 - 290.000 ] 230,000 [ 190.000 - 280.000 ] 0,6 [ 0,5 - 0,7 ] 81 000 [ 67.000 - 96.000 ] 18 000 [ 13.000 - 23.000 ]

10 Thailand 530,000 [ 420.000 - 660.000 ] 520,000 [ 410.000 - 640.00 ] 1,3 [ 1,0 - 1,6 ] 210,000 [ 160.000 - 260.000 ] 12 000 [ 21.000 - 37.000 ]

11 Bangladesh 6,300 [ 5.200 - 8.300 ] 6,200 [ 5.100 - 8.100 ] <0,1 [ < 0,1 - <0,1] 1,900 [ 1.500 - 2.400 ] < 200 [ <100 - <500 ]

12 Bhutan < 1000 [ <1000 - 1.500] < 1000 [ <1000 - 1.500] 0,2 [ 0,1 - 0,3 ] < 500 [ < 200 - <500] < 100 [ <100 - <100 ]

13 India 2,400,000 [ 2.100.000 - 2.800.000 ] 2,300,000 [ 2.000.000 - 2.600.000 ] 0,3 [ 0,3 - 0,4 ] 880,000 [ 730.000 - 1.000.000 ] 170 000 [ 150.000 - 200.000 ]

14 Korea DPR … … … … … … … … … …

15 Maldives <100 [ <100 ] <100 [ <100 ] <0,1 [ < 0,1 -<0,1 ] <100 [ <100 ] < 100 [ <100 - <100 ]

16 Nepal 64,000 [ 51.000 - 80.000 ] 60,000 [ 48.000 - 75.000 ] 0,4 [ 0,3 - 0,5 ] 20,000 [ 16.000 - 25.000 ] 4,700 [ 3.800 - 5.700 ]

17 Sri Lanka 2,800 [ 2.100 - 3.800 ] 2,800 [ 2.100 - 3.700 ] <0,1 [ < 0,1 -<0,1 ] <1000 [ <500 - <1.000 ] < 200 [ <100 - <500 ]

18 Timor Leste … … … … … … … … … …

Source: Global Report 2010, UNAIDS Report on the Global AIDS Epidemic

2. Deaths related to AIDS

ESTIMATION OF HIV/AIDS IN ASEAN AND SEARO MEMBER STATES

Adults and Children Teenagers (15+) Adults (15–49) Rate (%) Women (15+)No Countries

1. HIV Estimation

Adults and Children

2009

Annex 6.6

(1) (2) (3) (4) (5) (6) (7) (8)

1 Brunei Darussalam 0 1 0 0 0 0

2 Philippines - - - - - -

3 Cambodia 3 372 - 19 1156 0

4 Lao PDR 34 6 14 7 153 0

5 Malaysia 3 41 28 10 73 0

6 Sinapore 0 8 0 0 50 0

7 Viet Nam 6 81 196 35 2,809 0

8 Indonesia 385 - 137 137 16,529 0

9 Myanmar 4 0 96 19 190 0

10 Thailand 65 6 172 4 2,534 0

11 Bangladesh 27 17 710 117 788 0

12 Bhutan 0 0 - 0 97 0

13 India 3,123 38,493 1,574 373 29,760 43

14 Korea DPR - 80 - - - 0

15 Maldives 0 0 0 0 0 0

16 Nepal 146 2,293 547 13 190 6

17 Sri Lanka 0 2 11 1 79 0

18 Timor Leste 0 0 9 7 50 -

500 515 643 231 23,494 0

3,750 40,891 3,256 671 50,217 49

Source: WHO vaccine-preventable diseases monitoring system, 2011 global summary (1 June 2011 updated: http://apps.who.int/immunization_monitoring/en/globalsummary/countryprofileselect.cfm)

A S E A N

S E A R O

NUMBER OF VACCINE-PREVENTABLE DISEASES

2010

Diphteria TetanusNo Countries Pertussis Measles Polio

IN ASEAN AND SEARO MEMBER STATES

Tetanus Neonatorum

Annex 6.7

No Countries BCG (%) DPT3 (%) Polio3 (%) Measles (%) Hepatitis B3 (%)

(1) (2) (3) (4) (5) (6) (7)

1 Brunei Darussalam 99 99 99 99 99

2 Philippines 90 87 86 88 85

3 Cambodia 98 94 95 92 91

4 Lao PDR 67 57 67 59 67

5 Malaysia 98 95 95 95 95

6 Sinapore 99 97 97 95 97

7 Viet Nam 97 96 97 97 94

8 Indonesia 93 82 89 82 82

9 Myanmar 93 90 90 87 90

10 Thailand 99 99 99 98 98

11 Bangladesh 99 94 94 89 95

12 Bhutan 96 96 96 98 96

13 India 87 66 67 71 21

14 Korea DPR 98 93 98 98 92

15 Maldives 99 98 98 98 98

16 Nepal 87 82 82 79 82

17 Sri Lanka 98 97 97 96 97

18 Timor Leste 71 72 78 70 72

Source: WHO Immunization Summary, 2011: A Statistical Reference Containing Data through 2009

BASIC IMMUNIZATION TO INFANTSIN ASEAN & SEARO, 2009

Married women aged 15-49 years using contraceptive (%) Antenatal Care (4th Visit) Delivery assisted by skilled

health assistantsInfants breastfed exclusively

(6 months)

2010 2000 - 2010 2000 - 2010 2000 - 2010(1) (2) (3) (4) (5) (6)

1 Brunei Darussalam - - 100 -

2 Philippines 34 78 62 34

3 Cambodia 27 27 44 66

4 Lao PDR 29 - 20 26

5 Malaysia - - 100 -

6 Sinapore 55 - 100 -

7 Viet Nam 69 29 88 17

8 Indonesia 57 82 73 32

9 Myanmar 33 43 37 31

10 Thailand 70 80 99 15

11 Bangladesh 48 21 18 43

12 Bhutan 31 - 72 10

13 India 49 50 47 46

14 Korea DPR 58 95 97 65

15 Maldives 27 85 95 48

16 Nepal 44 29 19 53

17 Sri Lanka 53 93 99 76

18 Timor Leste 21 55 30 52Source: - World Health Statistics 2011, WHO - World Population Data Sheet, USAID, 2010 : Percentage of married women aged 15-49 using contraceptive

No Countries

Annex 6.8HEALTH EFFORTS IN ASEAN AND SEARO MEMBER STATES

2000 - 2010

No CountriesTotal expenditure on health

as % of gross domestic product

General government expenditure on health as %

of total expenditure on health

Private expenditure on health as % of total

expenditure on health

General government expenditure on health as %

of total government expenditure

Per capita total expenditure on health (PPP int. $)

(1) (2) (3) (4) (5) (6) (7)

1 Brunei Darussalam 2,3 85,5 14,5 7,0 967

2 Philippines 3,7 34,7 65.3 6,1 45

3 Cambodia 5,7 23,8 76,2 9,0 28

4 Lao PDR 4,0 17,6 82,4 3.7 15

5 Malaysia 4,3 44,1 55,9 6.9 274

6 Sinapore 3,3 34,1 65,9 7,8 625

7 Viet Nam 7,2 38,5 61,5 9,3 77

8 Indonesia 2,3 54,4 45,6 6.2 49

9 Myanmar 2,3 7,5 92,5 0,7 2

10 Thailand 4,1 74,3 25,7 14,2 244

11 Bangladesh 3,3 31,4 68,6 7,4 14

12 Bhutan 5,5 82,5 17,5 13,0 217

13 India 4,2 32,4 67,6 4,4 40

14 Korea DPR - - - - -

15 Maldives 13,7 61,2 38,8 13,8 470

16 Nepal 6,0 37,7 62,3 11,3 25

17 Sri Lanka 4,1 43,7 56,3 7,9 82

18 Timor Leste 13,9 82,9 17,1 11,9 93

Source: World Health Statistics 2011, WHO

HEALTH EXPENDITURES IN ASEAN AND SEARO MEMBER STATES2008

Annex 6.9

indonesia health profile 2010

Documents