repository.ipb.ac.id · vi. conclusion and recommendation 6.1. conclusion is study are: 1. in ndana...

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VI. CONCLUSION AND RECOMMENDATION 6.1. Conclusion is study are: 1. in Ndana island is analyzed r 2. 3. enario IV is the best there are zonation area for tourism, fisheries and protected area with ecology, economic and social consideration. Hopefully this scenario can increase income of local people with sustainable management of natural resources. The result alternatives of four scenarios are expected to be useful for the user as decision makers in Rote Regency. 4. The decision support system for Ndana Island was developed which by having this system user can get information easily and generate better Conclusions of th The suitability for coral reef conservation area based on nine parameters, and result is four classes for conservation zone that are S1 (highly suitable) for core zone, S2 (moderately suitable) for buffer zone, S3 (marginally suitable) for use zone and N (not suitable) fo non-conservation area. Percentage of S1 is 0.29%, S2 is 3.01%, S3 is 75.58% and N is 21.12%. In Ndana Island, there are 31.33 hectares is moderately suitable (S2) and 146.27 hectares is marginally suitable (S3) for diving activity. Result of spatial analysis all the non-conservation is moderately suitable (S2) for seaweed cultivation. The area covers 1,313.23 hectares. Based on spatial suitability and economic valuation, sc management to apply in coral reef area in Ndana Island, which has the biggest value of NPV, Rp. 86,767,185,416. In scenario IV

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Page 1: repository.ipb.ac.id · VI. CONCLUSION AND RECOMMENDATION 6.1. Conclusion is study are: 1. in Ndana island is analyzed r 2. 3. enario IV is the best there are zonation area for tourism

VI. CONCLUSION AND RECOMMENDATION

6.1. Conclusion

is study are:

1. in Ndana island is analyzed

r

2.

3. enario IV is the best

there are

zonation area for tourism, fisheries and protected area with ecology,

economic and social consideration. Hopefully this scenario can increase

income of local people with sustainable management of natural resources.

The result alternatives of four scenarios are expected to be useful for the

user as decision makers in Rote Regency.

4. The decision support system for Ndana Island was developed which by

having this system user can get information easily and generate better

Conclusions of th

The suitability for coral reef conservation area

based on nine parameters, and result is four classes for conservation zone

that are S1 (highly suitable) for core zone, S2 (moderately suitable) for

buffer zone, S3 (marginally suitable) for use zone and N (not suitable) fo

non-conservation area. Percentage of S1 is 0.29%, S2 is 3.01%, S3 is

75.58% and N is 21.12%.

In Ndana Island, there are 31.33 hectares is moderately suitable (S2) and

146.27 hectares is marginally suitable (S3) for diving activity. Result of

spatial analysis all the non-conservation is moderately suitable (S2) for

seaweed cultivation. The area covers 1,313.23 hectares.

Based on spatial suitability and economic valuation, sc

management to apply in coral reef area in Ndana Island, which has the

biggest value of NPV, Rp. 86,767,185,416. In scenario IV

Page 2: repository.ipb.ac.id · VI. CONCLUSION AND RECOMMENDATION 6.1. Conclusion is study are: 1. in Ndana island is analyzed r 2. 3. enario IV is the best there are zonation area for tourism

decisions. This system he field yet but it provides the

most critical steps for further development.

6.2. Re

1. necessary to analyze all kind of

activity?

marketed goods. While CVM

ronmental services.

was not validated in t

commendation

The following recommendations are needed:

To get the complete analysis, it is

information including social aspect (questioners from local people). E.g.

How about the culture of local people? Can they accept tourism

2. In order to obtain better in economic valuation, other methods are needed,

as Productivity method or Contingent Valuation Method (CVM). These

methods also consider about market value, where productivity method is

used to estimate economic value for ecosystem product or services that

contribute to production of commercially

method involves directly asking people in a survey, how much they would

be willing to pay for specific envi

3. Better result of the system can be obtained by improving the design and

function of the program and hopefully meet user requirement.

69

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http://www.gisdevelopment.net/application/nrm/water/watershed/watws0003.htm. Accessed 2006 July 27.

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(Land-Oceans Interactions in the Coastal Zone). 2004. Science Plan and Implementation Strategy

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purgeon, J. 2003. Economic Issues Relating to Coral Reef Damages From Sub marine Fiber Optic Cables Permitted Across the Sovereign Submerged Lands of the State of Florida. Prepared for Public Employees for Environmental Responsibility. http://www.peer.org/docs/fl/Jury_Economic_Report.pdf

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Suryansyah, Y. 2005. Kriteria Teknologi Perikanan dan Kelautan untuk Pengembangan Pulau Kecil di Wilayah Perbatasan. Thesis. Bogor Agricultural University.

Terfai, L. and W.S. Schrimpf. 2004. The Use of Geographic Information Systems and Remote Sensing Imagery Data for Development of Decision Support Systems for Coastal Management Case Study: The Bay of Dakhla (Morocco).http://www.unesco.org/webworld/public_domain/tunis97/com_

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A P P E N D I C E S

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Appendix 1. Comparison of characteristics of study area with references

References No. Characteristics

Husni (2001) Agus (2005) Ndana Island

1. Location Lombok Barat, NTB – east part of Indonesia

Lombok Timur, NTB – east part of Indonesia

Rote Ndao, NTT – east part of Indonesia

2. Occupation of local people (dominant)

Fisher and private (tourism activity)

Farmer and fisher Farmer and fisher

3. Density of population

- 105 person/km2 80 person/km2

4. Type of coral reef

Fringing reef Fringing reef Fringing reef

5. Kind of coral Acropora, Montipora

Acropora, Echinopora, Porites

Acropora, Porites, Favia and Pocillopora

6. Percentage of coral

Average 25 – 50% 25 -50% 25 – 50%

7. Kind of fish Casio sp., Epinephelus sp., Elagaris, Lethrinus sp. etc.

Epinephelus sp., Siganus sp., Lutjanus sp, Lethrinus sp etc.

Epinephelus sp., Lutjanus sp. Caesionidae etc.

8. Fishery activity Traditional fishery, sometimes use bomb for catching fish

Traditional fishery, sometimes use bomb for catching fish

Traditional fishery, sometimes use bomb for catching fish

9. Special species Blue coral - -

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74

Appendix 2. Map of administrative boundary

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Appendix 3. Thematic maps

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Appendix 4. Logical design of database

Entity Attribute Data type Width

id_kab String 5 nm_kab String 30 Kecamatan String 30 Area Double 16

A00NDANA

r Perimete Double 16 id_shoreln Lo r ng intege 8 L00NDANA

an keterang String 30 id_settle Lo er ng integ 8 S00NDANA

gan keteran String 30 id_lu Lo er ng integ 8 QA0NDANA

klas_lu String 30 id_slope Long r intege 8

pe RC0NDANA

klas_slo String 30 id_lf Lo er ng integ 8 FA0NDANA klas_lf String 30 id_sali Lo er ng integ 8 OH0NDANA

li klas_sa String 30 id_SST Lo er ng integ 8 OB0NDANA

klas_SST String 30 id_current Lo er ng integ 8 OI0NDANA klas_cu String 30 id_depth Lo er ng integ 8 OE0NDANA

h klas_dept String 30 id_wcl Lo er ng integ 8 OJ0NDANA klas_wcl String 30 id_ph Lo er ng integ 8 OK0NDANA klas_ph String 30 Id_geol Lo er ng integ 8 geologi String 30

GA0NDANA

formasi String 30 id_coral Long integer 8 OC0NDANA

l klas_cora String 30

KodeBPS String 10 Id_prop String 2 NM_prop String 30 id_kab String 5

Kab_indo

NM_kab String 30 id_pul String 10

Id_pul String 10 Id_kab String 5 Nm_pul String 30 Nm_lain String 30 gugusan String 30 laut String 30 desa String 30

Tb_pulau

kecamatan String 30

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79

Entity Attribute Data type Width

Id_pul String 10 Lat Single 8 long Single 8 luas Single 8 altitude Integer 8 reef Single 8 lagoon Single 8 shoreln Single 8 scale Integer 8 coastal Single 8 low_land Single 8 nearsl String 30 jarak Single 8

Tb_geogpul

depth Integer 8

id_pul String 10 jenis String 30 geologi String 50 hujan String 15 suhu String 15 iklim String 15 sd_air String 50 ancaman String 50 ik_ancam String 50 ik_protek String 50 ekosis String 50 ps_hutan Single 8 ps_change Single 8 ps_bdaya Single 8 ps_kritis Single 8 ps_reef Single 8 ps_mrove Single 8 ek_darat Single 8 ek_laut Single 8

Tb_geolpul

ks_spes String 50

id_pul String 10 sup_ksv String 50 kws_ldg String 50 jml_ldg Double 15 ldg_drt Single 8 ldg_laut Single 8 rel_data String 40 referen String 40

Tb_ekolpul

da_nil String 40

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Entity Attribute Data type Width

id_pul St 10 ring inhabit St 10 ring human String 40 popup Long integer 15 tahun Integer 8 densitas Si 8 ngle grade Single 8 mjr_act String 25 mnr_act String 25 hm_imp 8 String urb_pop Lo 15 ng integer hab_type St 40 ring port String 25 airport St 25 ring turis Long integer 15 pop_agr Si 8 ngle pop_tam 8 b Single

Tb_demop

sh 8

ul

pop_fi single

id_pul 10 String kls_TH Long integer 8 kd_np Long integ 8 er kls_er 8 Long integer kls_sr Lo 8 ng integer kls_ie_drt Lo 8 ng integer kls_ie_laut 8 Long integer kls_inv Long integer 8 kls_ur Long integer 8 kls_ep 8 Long integer kls_pa Long integer 8 kls_da Long integer 8

Tb_indikator

k String 40

nilai_s

Id_pul String 10 Foto String 20

Tb_grafis

20 Image String

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Appendix 5. Economic Valuation of Scenario I

No Benefit 0 1 2 3 4 5 6 7 8 9 1 Fisheries 0 3,736,160,000 3,736,160,000 3,736,160,000 3,736,160,000 3,736,160,000 3,736,160,000 3,736,160,000 3,736,160,000 3,736,160,000 2 Diving 0 0 0 0 0 0 0 0 0 0 3 Abrasion 0 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249

4 Carbon 0 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400

5 Research 0 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741

6 Biodiversity 0 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400

Totalbenefit 0 12,318,718,790 12,318,718,790 12,318,718,790 12,318,718,790 12,318,718,790 12,318,718,790 12,318,718,790 12,318,718,790 12,318,718,790 Cost 7 Invest of fish 4,310,500,0 4,310,500,00 00 0 0 0 0 0 0 0 0 08 Op. of fish 0 1,497,258,001 1,497,258,001 1,497,258,001 1,497,258,001 1,497,258,001 1,497,258,001 1,497,258,001 1,497,258,001 1,497,258,001 9 Fixed of fish 0 1,173,160,898 1,173,160,898 1,173,160,898 1,173,160,898 1,173,160,898 1,173,160,898 1,173,160,898 1,173,160,898 1,173,160,898

10 tourism Inv. of

0 0 0 0 0 0 0 0 0 0

11 Op. of tourism 0 0 0 0 0 0 0 0 0 0

12 Fix of tourism 0 0 0 0 0 0 0 0 0 0

13 Rehabilition 0 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120

Totalcost 4,310,500,000 2,680,595,019 2,680,595,019 2,680,595,019 2,680,595,019 6,991,095,019 2,680,595,019 2,680,595,019 2,680,595,019 2,680,595,019 B-C (4,310,500,000) 9,638,123,771 9,638,123,771 9,638,123,771 9,638,123,771 5,327,623,771 9,638,123,771 9,638,123,771 9,638,123,771 9,638,123,771 DR 1.00 0.89 0.80 0.72 0.64 0.57 0.51 0.46 0.41 0.37 NPVB (4,310,500,000) 8,624,719,258 7,717,869,582 6,906,370,991 6,180,197,755 3,057,003,170 4,948,884,388 4,428,531,891 3,962,892,073 3,546,212,146 NPVT 4,314,219,258 12,032,088,841 18,938,459,832 25,118,657,587 28,175,660,756 33,124,545,145 37,553,077,036 41,515,969,109 45,062,181,254 Bt - 11,023,462,005 9,864,395,530 8,827,199,579 7,899,060,026 7,068,510,091 6,325,288,672 5,660,213,576 5,065,068,077 4,532,499,398 Ct 4,310,500,000 2,398,742,746 2,146,525,947 1,920,828,588 1,718,862,271 4,011,506,921 1,376,404,283 1,231,681,685 1,102,176,005 986,287,253 BCR - 4.60 4.60 4.60 4.60 1.76 4.60 4.60 4.60 4.60 NPV 63,649,752,119 BCR 3.13

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10 11 12 13 14 15 16 17 18 19 20 3, 0 3,736,160,000 3,736,160,00 3,736,160,00 3,736,160,00 3,736,160,0 3,736,160, 0 3,736,160, 0 3,736,160, 0 3,736,16 00 3,736,16 000 736,160,00 0 0 0 00 00 00 00 0,0 0,

0 0 0 0 0 0 0 0 0 0 0 7, 49 7,970,080,24 9 9 49 24 24 249 970,080,2 9 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,24 7,970,080,24 7,970,080,2 7,970,080, 9 7,970,080, 9 7,970,080, 400 424,742,40 0 0 0 00 40 40 400 424,742, 0 424,742,400 424,742,400 424,742,40 424,742,40 424,742,40 424,742,4 424,742, 0 424,742, 0 424,742, 41 161,189,74 1 1 1 41 74 74 741 161,189,7 1 161,189,741 161,189,741 161,189,74 161,189,74 161,189,74 161,189,7 161,189, 1 161,189, 1 161,189, 26,546,40 0 00 0 0 400 26,546,400 0 26,546,400 26,546,400 26,546,400 26,546,400 26,546,40 26,546,4 26,546,4 0 26,546,4 0 26,546,

12,318,718,790 12,318,718,790 0 0 9 790 12,318,718,790 12,318,718,790 12,318,718,790 12,318,718,790 12,318,718,790 12,318,718,79 12,318,718,79 12,318,718,7 0 12,318,718, 4, 4,310,500,0 0 0 0 0 4,310,50 000 310,500,000 0 0 0 0 00 0, 1, 1,497,258,001 1,497,258,00 1,497,258,00 1,497,258,00 1,497,258,0 1,497,258, 1 1,497,258, 1 1,497,258, 1 1,497,25 01 1,497,25 001 497,258,001 1 1 1 01 00 00 00 8,0 8, 1, 1,173,160,898 1,173,160,89 1,173,160,89 1,173,160,89 1,173,160,8 1,173,160, 8 1,173,160, 8 1,173,160, 8 1,173,16 98 1,173,16 898 173,160,898 8 8 8 98 89 89 89 0,8 0,

0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0

0 0 0 0

0 0 0 0 0 0 0

0 0 0 0 10,176,12 0 20 2 2 120 10,176,120 0 10,176,120 10,176,120 10,176,120 10,176,120 10,176,12 10,176,1 10,176,1 0 10,176,1 0 10,176,

6, 2,680,595,019 9 9 9 1 019 991,095,019 2,680,595,019 2,680,595,019 2,680,595,019 6,991,095,019 2,680,595,01 2,680,595,01 2,680,595,01 2,680,595,0 9 6,991,095, 5, 3,771 9,638,123,771 1 1 1 7 771 327,62 9,638,123,771 9,638,123,771 9,638,123,771 5,327,623,771 9,638,123,77 9,638,123,77 9,638,123,77 9,638,123,7 1 5,327,623, 0.33 0.29 0.26 0.24 0.21 0.19 0.17 0.15 0.14 0.12 0.11 1, 677 2 6 5 8 122 754,115, 2,839,681,612 2,541,102,114 2,273,916,881 2,034,824,949 1,006,515,740 1,629,416,05 1,458,090,42 1,304,778,90 1,167,587,3 7 577,541, 46,816,296,931 49,655,978,544 52,197,080,658 54,470,997,538 56,505,822,487 57,512,338,228 59,141,754,279 60,599,844,706 61,904,623,611 63,072,210,998 63,649,752,119 4, 927,873 055, 3,629,465,658 3,247,843,989 2,906,348,089 2,600,758,916 2,327,301,044 2,082,596,012 1,863,620,593 1,667,669,434 1,492,321,641 1,335,410,865 2, 812,196 301, 789,784,046 706,741,875 632,431,208 565,933,967 1,320,785,303 453,179,961 405,530,166 362,890,529 324,734,254 757,869,743 1.76 0 0 6 76 4.60 4.60 4.60 4.60 1.76 4.60 4.6 4.6 4. 0 1.

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Appendix 6. Economic Valuation of Scenario II

No Benefit 0 1 2 3 4 5 6 7 8 9 1 Fisheries 0 0 0 0 0 0 0 0 0 0 2 Diving 0 0 0 0 0 0 0 0 0 0 3 Abrasion 0 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 9 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,24 7,970,080,249

4 Carbon 0 424,742,400 424,742,400 424,742,400 424,742,400 0 424,742,400 424,742,400 424,742,400 424,742,40 424,742,400

5 Research 0 161,189,741 161,189,741 161,189,741 161,189,741 1 161,189,741 161,189,741 161,189,741 161,189,74 161,189,741

6 Biodiversity 0 26,546,400 0 26,546,400 26,546,400 26,546,400 26,546,400 26,546,40 26,546,400 26,546,400 26,546,400

T lbenefit 0 8, 558,790 8, 558,790 8, 558,790 8, 558,790 8, 558,790 8,5 558,790 8, 558,790 8, 558,790 8, 558,790 ota 582, 582, 582, 582, 582, 82, 582, 582, 582, Cost 7 Invest of fish 0 0 0 0 0 0 0 0 0 0 8 Op. of fish 0 0 0 0 0 0 0 0 0 0 9 Fixed of fish 0 0 0 0 0 0 0 0 0 0

10 Inv. of tourism 0 0 0 0 0 0 0 0 0 0

11 Op. of tourism 0 0 0 0 0 0 0 0 0 0

12 tourism Fix of

0 0 0 0 0 0 0 0 0 013 Rehabilition 0 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120

Totalcost 0 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 B-C 0 8,572,382,670 8,572,382,670 8,572,382,670 8,572,382,670 8,572,382,670 8,572,382,670 8,572,382,670 8,572,382,670 8,572,382,670 DR 1.00 0.89 0.80 0.72 0.64 0.57 0.51 0.46 0.41 0.37 NPVB - 7,671,035,947 6,864,461,697 6,142,695,031 5,496,818,820 4,918,853,530 4,401,658,640 3,938,844,420 3,524,692,994 3,154,087,690 NPVT 7,671,035,947 14,535,497,644 20,678,192,675 26,175,011,494 31,093,865,024 35,495,523,664 39,434,368,084 42,959,061,078 46,113,148,768 Bt - 7,680,142,094 6,872,610,375 6,149,986,913 5,503,343,994 4,924,692,612 4,406,883,769 3,943,520,151 3,528,877,093 3,157,831,850 Ct - 9,106,148 8,148,678 7,291,882 6,525,174 5,839,082 5,225,129 4,675,731 4,184,099 3,744,160 BCR - 843.40 843.40 843.40 843.40 843.40 843.40 843.40 843.40 843.40 NPV 65,047,603,571 B/C 843.40

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10 11 12 13 14 15 16 17 18 19 20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

7, 249 7,970,080,249 970,080, 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 0 424,742,400 424,742,40 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 741 161,189,741 161,189, 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 0 26,546,400 26,546,40 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400

8, 8,582,558,790 582,558,790 8,582,558,790 8,582,558,790 8,582,558,790 8,582,558,790 8,582,558,790 8,582,558,790 8,582,558,790 8,582,558,790 8,582,558,790

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 0 0 0

0

0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0

0

0 0 0 0 0 0 0 0 0 0 120 10,176,120 10,176, 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120

10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 8, 572,382,670 8,572,382,670 8,572,382,670 8,572,382,670 8,572,382,670 8,572,382,670 8,572,382,670 8,572,382,670 8,572,382,670 8,572,382,670 8,572,382,670 0.33 0.29 0.26 0.24 0.21 0.19 0.17 0.15 0.14 0.12 0.11 2, 49,834 822,4 2,525,682,178 2,260,118,281 2,022,477,209 1,809,823,005 1,619,528,416 1,449,242,431 1,296,861,236 1,160,502,224 1,038,480,738 929,289,251 48, 602 935,598, 51,461,280,781 53,721,399,061 55,743,876,270 57,553,699,275 59,173,227,692 60,622,470,123 61,919,331,358 63,079,833,582 64,118,314,320 65,047,603,571 2, 313 825,800, ,528,680,370 2 2,262,801,226 2,024,878,055 1,811,971,413 1,621,450,929 1,450,962,800 1,298,400,716 1,161,879,835 1,039,713,499 930,392,393 350,479 3, 2,998,192 2,682,945 2,400,846 2,148,408 1,922,513 1,720,369 1,539,480 1,377,611 1,232,762 1,103,142 843.40 843.40 843.40 843.40 843.40 843.40 843.40 843.40 843.40 843.40 843.40

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Appendix 7. Economic Valuation of Scenario III

No Benefit 0 1 2 3 4 5 6 7 8 9 1 Fisheries 0 3,374,400,000 0 0 0 0 0 0 0 0 3,374,400,00 3,374,400,00 3,374,400,00 3,374,400,00 3,374,400,00 3,374,400,00 3,374,400,00 3,374,400,002 Diving 0 4,440,000,000 0 0 0 0 0 0 0 0 4,440,000,00 4,440,000,00 4,440,000,00 4,440,000,00 4,440,000,00 4,440,000,00 4,440,000,00 4,440,000,003 Abrasion 0 9 9 9 9 9 9 9 9 9 7,970,080,24 7,970,080,24 7,970,080,24 7,970,080,24 7,970,080,24 7,970,080,24 7,970,080,24 7,970,080,24 7,970,080,24

4 Carbon 0 0 0 0 0 0 0 0 0 0 424,742,40 424,742,40 424,742,40 424,742,40 424,742,40 424,742,40 424,742,40 424,742,40 424,742,40

5 Research 0 1 1 1 1 1 1 1 1 1 161,189,74 161,189,74 161,189,74 161,189,74 161,189,74 161,189,74 161,189,74 161,189,74 161,189,74

6 Biodiversity 0 400 400 26,546,400 26,546,400 26,546,400 26,546, 26,546,400 26,546,400 26,546,400 26,546, 26,546,400

Totalbenefit 0 0 0 0 0 0 0 0 0 - 16,396,958,79 16,396,958,79 16,396,958,79 16,396,958,79 16,396,958,79 16,396,958,79 16,396,958,79 16,396,958,79 16,396,958,79 Cost 7 Invest of fish 3,893,128, 0 0 0 3,893,128, 7 0 0 0 0 557 0 558 Op. of fish 0 1,352,283,467 7 7 7 7 7 7 7 7 1,352,283,46 1,352,283,46 1,352,283,46 1,352,283,46 1,352,283,46 1,352,283,46 1,352,283,46 1,352,283,469 Fixed of fish 0 1,059,567,614 4 4 4 4 4 4 4 4 1,059,567,61 1,059,567,61 1,059,567,61 1,059,567,61 1,059,567,61 1,059,567,61 1,059,567,61 1,059,567,61

10 tourism Inv. of

3,241,200,000 0 0 0 0 0 0 3,241,200,00 0 0 0

11 Op. of tourism 0 1,420,800,000 0 0 0 0 0 0 0 0 1,420,800,00 1,420,800,00 1,420,800,00 1,420,800,00 1,420,800,00 1,420,800,00 1,420,800,00 1,420,800,00

12 tourism Fix of

0 266,400,000 0 0 0 0 0 0 0 0 266,400,00 266,400,00 266,400,00 266,400,00 266,400,00 266,400,00 266,400,00 266,400,0013 Rehabilition 0 0 0 0 0 0 0 0 0 0 10,176,12 10,176,12 10,176,12 10,176,12 10,176,12 10,176,12 10,176,12 10,176,12 10,176,12

Totalcost 7,134,328,557 0 0 0 0 7 0 0 0 0 4,109,227,20 4,109,227,20 4,109,227,20 4,109,227,20 11,243,555,75 4,109,227,20 4,109,227,20 4,109,227,20 4,109,227,20 B-C (7,134,328,557) 0 0 0 0 3 0 0 0 0 12,287,731,59 12,287,731,59 12,287,731,59 12,287,731,59 5,153,403,03 12,287,731,59 12,287,731,59 12,287,731,59 12,287,731,59 DR 1.00 0.89 0.80 0.72 0.64 0.57 0.51 0.46 0.41 0.37 NPVB (7,134,328,557) 6 3 3 5 6 4 6 9 3 10,995,732,96 9,839,582,07 8,804,995,14 7,879,190,28 2,957,034,89 6,309,377,68 5,645,975,55 5,052,327,11 4,521,098,09 NPVT 3,861,404,410 13,700,986,482 22,505,981,626 30,385,171,911 33,342,206,807 39,651,584,491 45,297,560,046 50,349,887,166 54,870,985,259 Bt - 14,672,893,772 13,130,106,284 11,749,535,824 10,514,126,017 9,408,613,886 8,419,341,285 7,534,086,161 6,741,911,553 6,033,030,473 Ct 7,134,328,557 3,677,160,806 3,290,524,211 2,944,540,681 2,634,935,732 6,451,578,989 2,109,963,601 1,888,110,605 1,689,584,434 1,511,932,379 BCR - 3.99 3.99 3.99 3.99 1.46 3.99 3.99 3.99 3.99 NPV 78,314,988,387 B/C 2.70

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10 11 12 13 14 15 16 17 18 19 20 3,374, 3,374, 000 3,374, 000 3,374, 000 3,374, 000 3,374, 000 3,374, 000 3,374, 000 3,374, 000 3,374,400, 0 3,374,400, 0 400,000 400, 400, 400, 400, 400, 400, 400, 400, 00 00 4,440,000,000 4, 4,440,000,000 4,440,000,000 4,440,000,000 4,440,000,000 4,440,000,000 4,440,000,000 4,440,000,000 4,440,000,000 4,440,000,000 440,000,000 7, 249 970,080, 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400

16, 16, 16, 16, 16, 16, 16, 16, 16,396,958,790 16,396,958,790 396,958,790 396,958,790 396,958,790 396,958,790 396,958,790 396,958,790 396,958,790 396,958,790 16,396,958,790 3,893,1 0 0 0 0 893,128,557 0 0 0 0 0 28,557 3, 1, 1352,283,467 1,352,283,467 1,352,283,467 1,352,283,467 1,352,283,467 1,352,283,467 1,352,283,467 1,352,283,467 1,352,283,467 1,352,283,467 ,352,283,467 1,059,567,614 1,059,567,614 1,059,567,614 1,059,567,614 1,059,567,614 1,059,567,614 1,059,567,614 1,059,567,614 1,059,567,614 1,059,567,614 1,059,567,614 3,241,200,000 0 0 0 0 3,241,200,000 0 0 0 0 0 1, 00 1 1420,800,0 1,420,800,000 1,420,800,000 1,420,800,000 1,420,800,000 1,420,800,000 1,420,800,000 1,420,800,000 1,420,800,000 ,420,800,000 ,420,800,000 266,400,000 266,400,000 266,400,000 266,400,000 266,400,000 266,400,000 266,400,000 266,400,000 266,400,000 266,400,000 266,400,000 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120

11, 1 243,555,757 4,109,227,200 4,109,227,200 4,109,227,200 4,109,227,200 1,243,555,757 4,109,227,200 4,109,227,200 4,109,227,200 4,109,227,200 4,109,227,200 5,153,403,033 1 1 1 1 1 1 12 212,287,731,590 2,287,731,590 2,287,731,590 2,287,731,590 5,153,403,033 2,287,731,590 2,287,731,590 2,287,731,590 ,287,731,590 1 ,287,731,590 0.29 0.33 0.26 0.24 0.21 0.19 0.17 0.15 0.14 0.12 0.11 1, 3,645 1696,75 3,620,335,895 3,239,674,179 2,899,037,297 2,594,216,821 973,601,270 2,077,357,333 1,858,932,736 1,663,474,484 1,488,567,771 ,332,051,697 56,567,738,903 60,188,074,799 63,427,748,978 6,326,786,275 8,921,003,096 9,894,604,366 71,971,961,698 73,830,894,435 5,494,368,919 6,982,936,690 6 6 6 7 7 78,314,988,387

4,831,038,020 4,323,076,528 3,868,524,857 3,461,767,210 3,097,778,264 2,772,061,086 2,480,591,576 2,219,768,748 5, 987 398,684, 1,986,370,244 1,777,512,523 3,7 342 1,083,402,348 969,487,560 867,550,389 01,931, 1,210,702,124 2,124,176,994 694,703,753 621,658,840 556,294,264 497,802,473 445,460,826 1.46 3.99 3.99 3.99 3.99 1.46 3.99 3.99 3.99 3.99 3.99

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Appendix 8. Economic Valuation of Scenario IV

Benefit 0 1 2 3 4 5 6 7 8 9 1 Fisheries - 0 4,765,580,00 4,765,580,000 4,765,580,000 4,765,580,000 4,765,580,000 4,765,580,000 4,765,580,000 4,765,580,000 4,765,580,000 2 Diving - 1,332,000,000 1,332,000,000 1,332,000,000 1,332,000,000 1,332,000,000 1,332,000,000 1,332,000,000 1,332,000,000 1,332,000,000 3 Abrasion - 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249

4 Carbon - 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400

5 Research - 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741

6 Biodiversity - 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400

Totalbenefit 0 - 14,680,138,79 14,680,138,790 14,680,138,790 14,680,138,790 14,680,138,790 14,680,138,790 14,680,138,790 14,680,138,790 14,680,138,790 Cost

7 Invest of fish 2,749,083,628 - - - - 2,749,083,628 - - - - 8 Op. of fish - 4 954,897,91 954,897,914 954,897,914 954,897,914 954,897,914 954,897,914 954,897,914 954,897,914 954,897,914 9 Fixed of fish - 6 748,200,30 748,200,306 748,200,306 748,200,306 748,200,306 748,200,306 748,200,306 748,200,306 748,200,306

10 Inv. of

tourism 972,360,000 - - - - 972,360,000 - - - - 11 Op. of tourism 0 - 426,240,00 426,240,000 426,240,000 426,240,000 426,240,000 426,240,000 426,240,000 426,240,000 426,240,000 12 Fix of tourism - 79,920,000 79,920,000 79,920,000 79,920,000 79,920,000 79,920,000 79,920,000 79,920,000 79,920,000 13 Rehabilition - 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 10,176,120

Totalcost 3,721,443,628 1 2,219,434,34 2,219,434,341 2,219,434,341 2,219,434,341 5,940,877,968 2,219,434,341 2,219,434,341 2,219,434,341 2,219,434,341 B-C (3,721,443,628) 0 12,460,704,45 12,460,704,450 12,460,704,450 12,460,704,450 8,739,260,822 12,460,704,450 12,460,704,450 12,460,704,450 12,460,704,450 DR 1.00 0.89 0.80 0.72 0.64 0.57 0.51 0.46 0.41 0.37 NPVB (3,721,443,628) 3 11,150,518,52 9,978,092,638 8,928,941,958 7,990,104,660 5,014,608,609 6,398,194,004 5,725,453,247 5,123,448,096 4,584,741,025 NPVT 7,429,074,895 17,407,167,533 26,336,109,491 34,326,214,152 39,340,822,761 45,739,016,765 51,464,470,012 56,587,918,108 61,172,659,133 Bt - 13,136,589,521 11,755,337,379 10,519,317,565 9,413,259,566 8,423,498,493 7,537,806,258 6,745,240,499 6,036,009,395 5,401,350,689 Ct 3,721,443,628 1,986,070,998 1,777,244,741 1,590,375,607 1,423,154,906 3,408,889,884 1,139,612,254 1,019,787,252 912,561,300

No

816,609,664 BCR - 6.61 6.61 6.61 6.61 2.47 6.61 6.61 6.61 6.61 NPV 86,767,185,416 B/C 4.52

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88

20 11 12 13 14 15 16 17 18 19 000 4,765,580,000 4,765,580,000 4,765,580,000 4,765,580,000 4,765,580,000 4,765,580,000 765,580,000 4,765,580,000 4,765,580,000 4,765,580,000 4,

1,332,000,000 1,332,000,000 1,332,000,000 1,332,000,000 1,332,000,000 1,332,000,000 1,332,000,000 33 000 1,332,000,000 1, 00,000 1,332,000,000 1, 2,000, 332,0 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 7,970,080,249 ,9 ,249 7,970,080,24 080,249 7,970,080,249 7 70,080 9 7,970, 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 424,742,400 4 ,400 424,742,40 742,400 424,742,400 24,742 0 424, 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 161,189,741 1 ,741 161,189,74 189,741 161,189,741 61,189 1 161, 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400 26,546,400 26,546, ,400 26,546,40 546,400 26,546,400 400 26,546 0 26,

14,680,138,790 14,680,138,790 14,680,138,790 14,680,138,790 14,680,138,790 14,680, 0 680,138,7 68 790 14,680,138,790 14 38,790 14,680,138,790 138,79 14, 90 14, 0,138, ,680,1 2,749,083,628 - - - - 2,749,083,628 - - - - - 954,897,914 954,897,914 954,897,914 954,897,914 954,897,914 954,897,914 954,897,914 95 914 954,897,914 897,9 954,897,914 4,897, 954, 14 748,200,306 748,200,306 748,200,306 748,200,306 748,200,306 748,200,306 748,200,306 74 306 748,200,306 200,3 748,200,306 8,200, 748, 06

972,360,000 - - - - 972,360,000 - - - - - 426,240,000 426,240,000 426,240,000 426,240,000 426,240,000 426,240,000 426,240,000 42 000 426,240,000 240,0 426,240,000 6,240, 426, 00 79,920,000 79,920,000 79,920,000 79,920,000 79,920,000 79, 00 79,920,000 7 000 79,920,000 920,0 79,920,000 920,0 9,920, 79, 00

10,176,120 10,176,120 10,176,120 10,176,120 10,176,120 1 1 10,176,120 12 176, 10,176,120 0,176, 20 10,176,120 10,176, 0 10, 120

5,940,877,968 2,219,434,341 2,219,434,341 2,219,434,341 2,219,434,341 5,940, 6 2,219,434,341 2,21 341 2,219,434,341 2, 434,3 2,219,434,341 877,9 8 9,434, 219, 41 8,739,260,822 12,460,704,450 12,460,704,450 12,460,704,450 12,460,704,450 8,739, 2 0,704,450 12,46 450 12,460,704,450 12 704,4 12,460,704,450 260,8 2 12,46 0,704, ,460, 50 0.33 0.29 0.26 0.24 0.21 1 0. 9 0.17 .15 0 0.14 0.12 0.11 2,877,394,326 3,671,298,911 3,285,278,667 2,939,846,682 2,630,735,286 1,651, 9 6 1,88 700 1,686,891,006 1, 522,1 1,350,802,822 055,6 6 2,10 ,600,032 5,100, 509, 53 64,050,053,460 67,721,352,370 71,006,631,038 73,946,477,720 76,577,213,006 78,228, 0268,7 2 80,334,868,734 82,21 434 9,969, 83,906,860,440 ,416,385 82,594 86,767,185,416 4,833,423,436 4,325,211,128 3,870,435,014 3,463,476,523 3,099,307,850 2,773, 4429,8 4 2,481,816,415 2,22 801 0,864, 1,987,351,052 778,3 1, 90,203 1,591,400,629 1,956,029,109 653,912,217 585,156,347 523,629,840 468,572,564 1,122, 4374,1 7 375,216,383 33 101 5,764, 300,460,046 68,0 268,8 50 240,597,807 2.47 6.61 6.61 6.61 6.61 4 6.61 .61 6.61 6. 6.61 61 6 2. 7

10 4,765,580,

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Appendix 9. Detail of User Interface

There are six menus and fourteen buttons on main display. Menus are

included: File, View, Layers, Data, Analysis and Help.

Figure A.1. Menus and buttons on GIS-based DSS for small island

Table A. 1. Function of buttons

Button Function

To print

To add layer

To show full map extent

To show active layer extent

Zoom in of layer

Zoom out of layer

Pan of layer

To show Total Economic Valuation

Identity button to show directory data of an island

Identify of layer

Move layer to left

Move layer to right

Move layer up

Move layer down

At lowest part of main display there is status bar which shows time and

scale of the map , and coordinate location (Figure A.2).

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There is scale bar at below the map

90

which it’s change if

scale of the map change.

Figure A.2. Main display with c

Figure A.3. Displa

There are two sub-me nus at View menu,

four sub-menus at Layers menu, three s nu, three sub-menus

at Analysis menu and two sub-menus at Help menus (Figure A.4).

oordinate location of the arrow

y identify result

nus at File menus, five sub-me

ub-menus at Data me

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91

n

itor sub-

menus at Layer menu is to change legend of active layer using single, unique,

classes or label based on attributes (Figure A.5). In this form also can change fill

color, s fill and outline width.

Figure A.5. Legend editor form

Figure A. 4. Display all of sub-menus

Function sub-me us at File and View menus same as function of print, full

extent, zoom in, zoom out, and identify buttons. Function of Legend ed

tyle of

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Figure A. 6. Result of identity button ( )

There three sub-menus in Data menu that are Tabular, Indikator and Grafis

sub-menus (Figure A.7). Functions of these sub-menus are to show tabular and

indicator data same as button, but in this form need to choose name of island

first. Function of Grafis sub-menus is show photo or image of the island.

Figure A.7. Display of tabular and graphic data by using sub-menus

There are TEV and NPV sub-sub menus in Economic valuation sub-

menus.

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Figure A.8. Total Economic Valuation (TEV) and Net Present Value (NPV)

Figure A.9. Table and graphic of NPV

Data of NPV can save by using Save command and then choose Run to

show table and graph.

Process in scenario sub-menus is first input of four file and save the

output, then to see the result of NPV click Run command button. Output table

shows benefit, cost and NPV of every scenario. To display graph can choose

Graph command button on output table form (Figure A.10).

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Figure A. 10. Process of Scenario

There are three main functions on the spatial analysis form that are buffer,

query and suitability process. Choose the layer that want to buffer and type the

distance of buffer in Buffer process (Figure A.11).

Figure A.11. Result of buffer function

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95

Figure A.12. Result of query process

Figure A.13. Result of conservation suitability

To know information of this program, choose About sub-menu at Help

menu. Close the GIS-based DSS program by using tool or choose Exit sub-

menus at File menu.

Figure A.14. Display of About sub-menu