Lampiran 1. Hasil perhitungan skoring gabungan dengan Expert Choice

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Lampiran 1. Hasil perhitungan skoring gabungan dengan Expert Choice

Alternatif

Skor kombinasi

Terlindungnya tata air

0.27

Berkurangnya erosi tanah

0.29

Tingginya produksi pertanian

0.19

Tingginya produksi

perkebunan

0.17

Tingginya produksi kehutanan 0.09

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Lampiran 2. Grafik kombinasi dari ke-3 responden

Model Name: pengolahan AHP

Priorities with respect to: Combined

Goal: pengelolaan daerah aliran s...

Ekologi ,617

Sosial Ekonomi ,383

Inconsistency = 0,00 with 0 missing judgments.

Page 1 of 1 19/06/2010 21:29:3

Model Name: pengolahan AHP

Priorities with respect to: Combined

Goal: pengelolaan daerah aliran sungai >Ekologi

terlindungnya tata air ,260

berkurangnya erosi tanah ,252 tingginya produksi pertanian ,217 tingginya produksi perkebunan ,178 tingginya produksi kehutanan ,092 Inconsistency = 0,00

with 0 missing judgments.

Page 1 of 1 19/06/2010 21:30:5

Model Name: pengolahan AHP

Priorities with respect to: Combined

Goal: pengelolaan daerah aliran sungai >Sosial Ekonomi

terlindungnya tata air ,287

berkurangnya erosi tanah ,359 tingginya produksi pertanian ,142 tingginya produksi perkebunan ,139 tingginya produksi kehutanan ,073 Inconsistency = 0,00

with 0 missing judgments.

Page 1 of 1 19/06/2010 21:31:3

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Lampiran 3. Persamaan alokasi penggunaan lahan skenario 1

ALOKASI TATA GUNA LAHAN DENGAN GOAL PROGRAMMING

Defenisi masing-masing variable keputusan menggambarkan luas lahan (Ha) yang dialokasikan pada penggunaan tertentu.

HUT = Hutan ; BLR =Belukar ; KBR = Kebun rakyat ; KSWTKLP = Kebun coklatsawitkelapa ; SWH = Sawah ; TANCAMP= Tanaman campuran ; TGLN= Tegalan ; PRKTMBU= Perkebunan tembakau ; ALANG= Alang-alang ; RW = Rawa ; PEMU = Pemukiman ; LAIN2=Lain-lain MODEL :

MIN=0.27*D1P+0.27*D1N+0.29*D2P+0.29*D2N+0.19*D3P+0.19*D3N+0.17*D4P+0.17*D4N +0.17*D5P+0.17*D5N+0.17*D6P+0.17*D6N+0.17*D7P+0.17*D7N+0.17*D8P+0.17*D8N+0.0 9*D9P+0.09*D9N;

!Kendala goal tata

Air;0.01*HUT+0.84*BLR+0.96*KBR+3.46*KSWTKLP+0.70*SWH +0.01*TANCAMP+4.50*TGLN+3.46*PRKTMBU+0.01*ALANG+5.38*RW+2.53*PEMU+5.38 * LAIN2+D1P-D1N=49838.51; !Kendala erosi ;2.87*HUT+8.26*BLR+9.54*KBR+0.50*KSWTKLP+5.74*SWH+71.04*TANCAMP+3.30*TG LN+0.23*PRKTMBU+8.18*ALANG+0.38*RW+165.21*PEMU+96.58*LAIN2+D2P-D2N=2334817;

!Kendala produksi pertanian sayuran ;229114*TANCAMP+D3P-D3N=16154;

!Kendala produksi perkebunan kopi. Kelapa.karet. kelapa sawit.kulit manis;168.91*KBR+D4P-

D4N=285;1401.77*KSWTKLP+D5P-D5N=2284;616.65*KBR+D6P-D6N=285;48021.78*KSWTKLP+D7P-D7N=2284;28.50*KBR+D8P-D8N=285; !Kendala Produksi hutan.hutan rakyat; 2958.30*KBR+D9P-D9N=3655;

!Kendala luas pertanian;SWH=8143;TANCAMP>=16154; !Kendala luas hutan ; HUT>=3655;

!Kendala luas perkebunan tembakau; PRKTMBU=5628; !Kendala luas belukar; BLR<=2068;

!Kendala luas kebun rakyat; KBR>=285;

!Kendala luas kebun sawitkelapa; KSWTKLP<=2284; !Kendala luas tegalan; TGLN=1836;

!Kendala luas alang-alang; ALANG<=479; !Kendala luas rawa; RW =69;

!Kendala luas pemukiman;PEMU>=5374; !Kendala luas total

DAS;HUT+SWH+TANCAMP+PRKTMBU+ BLR+ KBR+ KSWTKLP+ TGLN+ ALANG+ RW+ PEMU+LAIN2=48162; !Kendala nonnegative;SWH>=0.0;TANCAMP>=0.0;PRKTMBU>=0.0; BLR>=0.0; KBR>=0.0;KSWTKLP>=0.0; TGLN>=0.0; ALANG>=0.0; RW>=0.0;PEMU>=0.0;LAIN2>=0.0;D1P>=0.0;D1N>=0.0;D2P>=0.0;D2N>=0.0;D3P>=0.0;D3N >=0.0;D4P>=0.0;D4N>=0.0;D5P>=0.0;D5N>=0.0;D6P>=0.0;D6N>=0.0;D7P>=0.0;D7N>=0.0;D 8P>=0.0;D8N>=0.0;D9P>=0.0;D9N>=0.0; END DIVERT DASRUN4; LOOK ALL; GO; RVRT; SAVE C:\DAS\DASRUN4.LNG;

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Lampiran 4. Persamaan alokasi penggunaan lahan skenario 2

ALOKASI TATA GUNA LAHAN DENGAN GOAL PROGRAMMING

Defenisi masing-masing variable keputusan menggambarkan luas lahan (Ha) yang dialokasikan pada penggunaan tertentu.

HUT = Hutan ; BLR =Belukar ; KBR = Kebun rakyat ; KSWTKLP = Kebun coklatsawitkelapa ; SWH = Sawah ; TANCAMP= Tanaman campuran ; TGLN= Tegalan ; PRKTMBU= Perkebunan tembakau ; ALANG= Alang-alang ; RW = Rawa ; PEMU = Pemukiman ; LAIN2=Lain-lain MODEL :

MIN=0.27*D1P+0.27*D1N+0.29*D2P+0.29*D2N+0.19*D3P+0.19*D3N+0.17*D4P+0.17*D4N +0.17*D5P+0.17*D5N+0.17*D6P+0.17*D6N+0.17*D7P+0.17*D7N+0.17*D8P+0.17*D8N+0.0 9*D9P+0.09*D9N;

!Kendala goal tata

Air;0.01*HUT+0.84*BLR+0.96*KBR+3.46*KSWTKLP+0.70*SWH +0.01*TANCAMP+4.50*TGLN+3.46*PRKTMBU+0.01*ALANG+5.38*RW+2.53*PEMU+5.38 *LAIN2+D1P-D1N<=49838.51; !Kendala erosi ;2.87*HUT+8.26*BLR+9.54*KBR+0.50*KSWTKLP+5.74*SWH+71.04*TANCAMP+3.30*TG LN+0.23*PRKTMBU+8.18*ALANG+0.38*RW+165.21*PEMU+96.58*LAIN2+D2P-D2N<=2334817;

!Kendala produksi pertanian sayuran ;229114*TANCAMP+D3P-D3N=16154;

!Kendala produksi perkebunan kopi. Kelapa.karet. kelapa sawit.kulit manis;168.91*KBR+D4P-

D4N=285;1401.77*KSWTKLP+D5P-D5N=2284;616.65*KBR+D6P-D6N=285;48021.78*KSWTKLP+D7P-D7N=2284;28.50*KBR+D8P-D8N=285; !Kendala Produksi hutan.hutan rakyat; 2958.30*KBR+D9P-D9N=9632.40; !Kendala luas pertanian;SWH=8143;TANCAMP>=16154;

!Kendala luas hutan ; HUT>=9632.40;

!Kendala luas perkebunan tembakau; PRKTMBU=5628; !Kendala luas belukar; BLR<=2068;

!Kendala luas kebun rakyat; KBR>=285;

!Kendala luas kebun sawitkelapa; KSWTKLP<=2284; !Kendala luas tegalan; TGLN=1836;

!Kendala luas alang-alang; ALANG<=479; !Kendala luas rawa; RW =69;

!Kendala luas pemukiman;PEMU>=5374; !Kendala luas total

DAS; HUT+SWH+TANCAMP+PRKTMBU+ BLR+ KBR+ KSWTKLP+ TGLN+ ALANG+ RW+ PEMU+LAIN2=48162; !Kendala nonnegative;SWH>=0.0;TANCAMP>=0.0;PRKTMBU>=0.0; BLR>=0.0; KBR>=0.0;KSWTKLP>=0.0; TGLN>=0.0; ALANG>=0.0; RW>=0.0;PEMU>=0.0;LAIN2>=0.0;D1P>=0.0;D1N>=0.0;D2P>=0.0;D2N>=0.0;D3P>=0.0;D3N >=0.0;D4P>=0.0;D4N>=0.0;D5P>=0.0;D5N>=0.0;D6P>=0.0;D6N>=0.0;D7P>=0.0;D7N>=0.0;D 8P>=0.0;D8N>=0.0;D9P>=0.0;D9N>=0.0; END DIVERT DASRUN4; LOOK ALL; GO; RVRT; SAVE C:\DAS\DASRUN4.LNG;

(5)

Lampiran 5. Persamaan alokasi penggunaan lahan skenario 3

ALOKASI TATA GUNA LAHAN DENGAN GOAL PROGRAMMING

Defenisi masing-masing variable keputusan menggambarkan luas lahan (Ha) yang dialokasikan pada penggunaan tertentu.

HUT = Hutan ; BLR =Belukar ; KBR = Kebun rakyat ; KSWTKLP = Kebun coklatsawitkelapa ; SWH = Sawah ; TANCAMP= Tanaman campuran ; TGLN= Tegalan ; PRKTMBU= Perkebunan tembakau ; ALANG= Alang-alang ; RW = Rawa ; PEMU = Pemukiman ; LAIN2=Lain-lain MODEL :

MIN=0.27*D1P+0.27*D1N+0.28*D2P+0.28*D2N+0.19*D3P+0.19*D3N+0.17*D4P+0.17*D4N +0.17*D5P+0.17*D5N+0.17*D6P+0.17*D6N+0.17*D7P+0.17*D7N+0.17*D8P+0.17*D8N+0.0 9*D9P+0.09*D9N;

!Kendala goal tata

Air;0.01*HUT+0.84*BLR+0.96*KBR+3.46*KSWTKLP+0.70*SWH +0.01*TANCAMP+4.50*TGLN+3.46*PRKTMBU+0.01*ALANG+5.38*RW+2.53*PEMU+5.38 * LAIN2+D1P-D1N<=49838.51; !Kendala erosi ;2.87*HUT+8.26*BLR+9.54*KBR+0.50*KSWTKLP+5.74*SWH+71.04*TANCAMP+3.30*TG LN+0.23*PRKTMBU+8.18*ALANG+0.38*RW+165.21*PEMU+96.58*LAIN2+D2P-D2N<=2334817;

!Kendala produksi pertanian sayuran ;229114*TANCAMP+D3P-D3N=16154;

!Kendala produksi perkebunan kopi. Kelapa.karet. kelapa sawit.kulit manis;168.91*KBR+D4P-

D4N=285;1401.77*KSWTKLP+D5P-D5N=2284;616.65*KBR+D6P-D6N=285;48021.78*KSWTKLP+D7P-D7N=2284;28.50*KBR+D8P-D8N=285; !Kendala Produksi hutan.hutan rakyat; 2958.30*KBR+D9P-D9N=14448.60; !Kendala luas pertanian;SWH=8143;TANCAMP>=16154;

!Kendala luas hutan ; HUT>=14448.60;

!Kendala luas perkebunan tembakau; PRKTMBU<=5628; !Kendala luas belukar; BLR<=2068;

!Kendala luas kebun rakyat; KBR=285;

!Kendala luas kebun sawitkelapa; KSWTKLP<=2284; !Kendala luas tegalan; TGLN=1836;

!Kendala luas alang-alang; ALANG<=479; !Kendala luas rawa; RW =69;

!Kendala luas pemukiman;PEMU>=5374; !Kendala luas total

DAS; HUT+SWH+TANCAMP+PRKTMBU+ BLR+ KBR+ KSWTKLP+ TGLN+ ALANG+ RW+ PEMU+LAIN2=48162; !Kendala nonnegative;SWH>=0.0;TANCAMP>=0.0;PRKTMBU>=0.0; BLR>=0.0; KBR>=0.0;KSWTKLP>=0.0; TGLN>=0.0; ALANG>=0.0; RW>=0.0;PEMU>=0.0;LAIN2>=0.0;D1P>=0.0;D1N>=0.0;D2P>=0.0;D2N>=0.0;D3P>=0.0;D3N >=0.0;D4P>=0.0;D4N>=0.0;D5P>=0.0;D5N>=0.0;D6P>=0.0;D6N>=0.0;D7P>=0.0;D7N>=0.0;D 8P>=0.0;D8N>=0.0;D9P>=0.0;D9N>=0.0; END DIVERT DASRUN4; LOOK ALL; GO; RVRT; SAVE C:\DAS\DASRUN4.LNG;

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Lampiran 6. Hasil pengolahan dengan LINGO 12.0 skenario I

Global optimal solution found.

Objective value: 0.7033230E+09 Infeasibilities: 0.000000

Total solver iterations: 3

Model Class: LP Total variables: 26 Nonlinear variables: 0 Integer variables: 0 Total constraints: 47 Nonlinear constraints: 0 Total nonzeros: 99 Nonlinear nonzeros: 0

Variable Value Reduced Cost D1P 0.000000 0.5400000 D1N 1356.211 0.000000 D2P 0.000000 0.2858088 D2N 0.000000 0.2941912 D3P 0.000000 0.3800000 D3N 0.3701091E+10 0.000000 D4P 0.000000 0.3400000 D4N 47854.35 0.000000 D5P 2217.329 0.000000 D5N 0.000000 0.3400000 D6P 0.000000 0.3400000 D6N 175460.2 0.000000 D7P 0.000000 0.1749427 D7N 0.000000 0.1650573 D8P 0.000000 0.3400000 D8N 7837.500 0.000000 D9P 0.000000 0.1800000 D9N 839460.5 0.000000 HUT 8904.164 0.000000 BLR 0.000000 0.2015094 KBR 285.0000 0.000000 KSWTKLP 0.4756175E-01 0.000000 SWH 8143.000 0.000000 TANCAMP 16154.00 0.000000 TGLN 1836.000 0.000000 PRKTMBU 5628.000 0.000000 ALANG 479.0000 0.000000 RW 69.00000 0.000000 PEMU 6663.788 0.000000 LAIN2 0.000000 1.057142

(7)

Lampiran 7. Hasil pengolahan dengan LINGO 12.0 skenario 2 Global optimal solution found.

Objective value: 0.7033221E+09 Infeasibilities: 0.000000

Total solver iterations: 2

Model Class: LP Total variables: 26 Nonlinear variables: 0 Integer variables: 0 Total constraints: 47 Nonlinear constraints: 0 Total nonzeros: 99 Nonlinear nonzeros: 0

Variable Value Reduced Cost D1P 0.000000 0.2700000 D1N 0.000000 0.2700000 D2P 0.000000 0.2900000 D2N 0.000000 0.2900000 D3P 0.000000 0.3800000 D3N 0.3701091E+10 0.000000 D4P 0.000000 0.3400000 D4N 47854.35 0.000000 D5P 2217.329 0.000000 D5N 0.000000 0.3400000 D6P 0.000000 0.3400000 D6N 175460.2 0.000000 D7P 0.000000 0.1749624 D7N 0.000000 0.1650376 D8P 0.000000 0.3400000 D8N 7837.500 0.000000 D9P 0.000000 0.1800000 D9N 833483.1 0.000000 HUT 10672.95 0.000000 BLR 0.000000 0.000000 KBR 285.0000 0.000000 KSWTKLP 0.4756175E-01 0.000000 SWH 8143.000 0.000000 TANCAMP 16154.00 0.000000 TGLN 1836.000 0.000000 PRKTMBU 5628.000 0.000000 ALANG 0.000000 0.000000 RW 69.00000 0.000000 PEMU 5374.000 0.000000 LAIN2 0.000000 0.000000

(8)

Lampiran 8. Hasil pengolahan dengan LINGO 12.0 skenario 3

Global optimal solution found.

Objective value: 0.7033216E+09 Infeasibilities: 0.000000

Total solver iterations: 2

Model Class: LP Total variables: 26 Nonlinear variables: 0 Integer variables: 0 Total constraints: 47 Nonlinear constraints: 0 Total nonzeros: 95 Nonlinear nonzeros: 0

Variable Value Reduced Cost D1P 0.000000 0.2700000 D1N 0.000000 0.2700000 D2P 0.000000 0.2800000 D2N 0.000000 0.2800000 D3P 0.000000 0.3800000 D3N 0.3701091E+10 0.000000 D4P 0.000000 0.3400000 D4N 47854.35 0.000000 D5P 2217.329 0.000000 D5N 0.000000 0.3400000 D6P 0.000000 0.3400000 D6N 175460.2 0.000000 D7P 0.000000 0.1749624 D7N 0.000000 0.1650376 D8P 0.000000 0.3400000 D8N 7837.500 0.000000 D9P 0.000000 0.1800000 D9N 828666.9 0.000000 HUT 16300.95 0.000000 BLR 0.000000 0.000000 KBR 285.0000 0.000000 KSWTKLP 0.4756175E-01 0.000000 SWH 8143.000 0.000000 TANCAMP 16154.00 0.000000 TGLN 1836.000 0.000000 PRKTMBU 0.000000 0.000000 ALANG 0.000000 0.000000 RW 69.00000 0.000000 PEMU 5374.000 0.000000 LAIN2 0.000000 0.000000

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