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Lampiran 3. Teknik Balancing SAM Siak dengan Metode Cross Entrophy Menggunakan Software GAMS 2.01

SETS I /1*33/ ALIAS(I,J); PARAMETER SAM0(I,J) initial matrix ; $libinclude xlimport SAM0 SAMSIAK.xls A2:AH35 PARAMETER TOTO initial matrix total ; TOTO = SUM((I,J), SAM0(I,J)); SAM0(I,J) = SAM0(I,J)/TOTO; PARAMETER NEG(I,J) Matrix of negative values; neg(I,J)$(SAM0(I,J) LT 0) =1; SAM0(I,J)$(SAM0(J,I) LT 0)=SAM0(I,J)-SAM0(J,I); SAM0(J,I)$(SAM0(J,I) LT 0)=0; SCALARS delta Non-zero logs parameter; delta =.000001; VARIABLES SAM(I,J) New SAM with transposed negative values OPT Distance variable ; EQUATIONS OPTIMIZE Optimization criterion CONSTR(I) Equality between matrix and row sums CONSTR1 Proportions sum equal one ; * Least squares (in percentage form) optimization criterion * OPTIMIZE.. OPT =E= SUM((I,J)$SAM0(I,J), * (SAM(I,J)/SAM0(I,J)-1)**2); *Entropy optimization criterion OPTIMIZE.. OPT =E= SUM((I,J)$(SAM0(I,J) NE 0),(SAM(I,J)) *(LOG(SAM(I,J)+delta)-LOG(SAM0(I,J)+delta))); CONSTR(I).. SUM(J,SAM(I,J))=E=SUM(J,SAM(J,I)); CONSTR1.. SUM((I,J),SAM(I,J))=E=1 ;

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SAM.L(I,J) = SAM0(I,J); SAM.LO(I,J) = 0 ; SAM.UP(I,J) = +INF ; SAM.FX(I,J)$(NOT SAM0(I,J)) = 0 ; OPT.L = 0; MODEL SAMBAL / ALL /; SAMBAL.workspace = 10; SAMBAL.optfile = 1; OPTION NLP = MINOS5; OPTION iterlim = 100000; SOLVE SAMBAL USING NLP MINIMIZING OPT; PARAMETER NSAM(I,J) New (balanced) matrix; NSAM(I,J)=SAM.L(I,J); NSAM(I,J)$(NEG(I,J)=1)=-NSAM(J,I); NSAM(J,I)$(NEG(I,J)=1)=0; NSAM(I,J) = NSAM(I,J)*TOTO; $libinclude xlexport NSAM SAMSIAK.xls A37:AH70

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Lampiran 4. Teknik Simulasi Kebijakan dengan Menggunakan Program Eviews 4.01

MATRIX (30,30) A A.READ(B3, MULTIPLIER) D:\ARIFIMAMSIAK2.XLS 'Simulasi stimulus ekonomi sebesar 1 milyar rupiah didistribusikan secara merata ke sektor perkebunan kelapa sawit rakyat dan perkebunan kelapa sawit perusahaan besar' MATRIX (30,1) SHOCK_1 SHOCK_1.READ(B3, S=SHOCK) D:\ARIFIMAMSIAK2.XLS MATRIX DAMPAK_1=A*SHOCK_1 'Simulasi stimulus ekonomi sebesar 1 milyar rupiah didistribusikan ke sektor perkebunan kelapa sawit rakyat' MATRIX (30,1) SHOCK_2 SHOCK_2.READ(E3, S=SHOCK) D:\ARIFIMAMSIAK2.XLS MATRIX DAMPAK_2=A*SHOCK_2 'Simulasi stimulus ekonomi sebesar 1 milyar rupiah didistribusikan ke sektor perkebunan kelapa sawit perkebunan besar' MATRIX (30,1) SHOCK_3 SHOCK_3.READ(H3, S=SHOCK) D:\ARIFIMAMSIAK2.XLS MATRIX DAMPAK_3=A*SHOCK_3 'Simulasi stimulus ekonomi sebesar 1 milyar rupiah didistribusikan ke seluruh sektor industri pengolahan' MATRIX (30,1) SHOCK_4 SHOCK_4.READ(K3, S=SHOCK) D:\ARIFIMAMSIAK2.XLS MATRIX DAMPAK_4=A*SHOCK_4 'Simulasi stimulus ekonomi sebesar 1 milyar rupiah didistribusikan ke sektor industri pengolahan kelapa sawit' MATRIX (30,1) SHOCK_5 SHOCK_5.READ(N3, S=SHOCK) D:\ARIFIMAMSIAK2.XLS MATRIX DAMPAK_5=A*SHOCK_5 'Simulasi transfer pendapatan 1 milyar rupiah ke rumahtangga perdesaan golongan rendah' MATRIX (30,1) SHOCK_6 SHOCK_6.READ(q3, S=SHOCK) D:\ARIFIMAMSIAK2.XLS MATRIX DAMPAK_6=A*SHOCK_6 'Simulasi transfer pendapatan 1 milyar rupiah ke rumahtangga perkotaan golongan rendah' MATRIX (30,1) SHOCK_7 SHOCK_7.READ(t3, S=SHOCK) D:\ARIFIMAMSIAK2.XLS

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MATRIX DAMPAK_7=A*SHOCK_7 'Simulasi redistribusi pendapatan dari rumahtangga golongan atas ke rumahtangga golongan bawah masing-masing 1 milyar rupiah' MATRIX (30,1) SHOCK_8 SHOCK_8.READ(w3, S=SHOCK) D:\ARIFIMAMSIAK2.XLS MATRIX DAMPAK_8=A*SHOCK_8 'Simulasi ekspor industri perkebunan kelapa sawit perusahaan besar naik 10 persen' MATRIX (30,1) SHOCK_9 SHOCK_9.READ(Z3, S=SHOCK) D:\ARIFIMAMSIAK2.XLS MATRIX DAMPAK_9=A*SHOCK_9 'Simulasi ekspor industri kelapa sawit naik 10 persen' MATRIX (30,1) SHOCK_10 SHOCK_10.READ(AC3, S=SHOCK) D:\ARIFIMAMSIAK2.XLS MATRIX DAMPAK_10=A*SHOCK_10 'Simulasi investasi pada sektor perkebunan kelapa sawit rakyat naik 10 persen' MATRIX (30,1) SHOCK_11 SHOCK_11.READ(AF3, S=SHOCK) D:\ARIFIMAMSIAK2.XLS MATRIX DAMPAK_11=A*SHOCK_11 'Simulasi investasi pada sektor perkebunan kelapa sawit perusahaan besar naik 10 persen' MATRIX (30,1) SHOCK_12 SHOCK_12.READ(AI3, S=SHOCK) D:\ARIFIMAMSIAK2.XLS MATRIX DAMPAK_12=A*SHOCK_12 'Simulasi investasi pada industri kelapa sawit naik 10 persen' MATRIX (30,1) SHOCK_13 SHOCK_13.READ(AL3, S=SHOCK) D:\ARIFIMAMSIAK2.XLS MATRIX DAMPAK_13=A*SHOCK_13 'Simulasi pajak naik 3 persen' MATRIX (30,1) SHOCK_14 SHOCK_14.READ(AO3, S=SHOCK) D:\ARIFIMAMSIAK2.XLS MATRIX DAMPAK_14=A*SHOCK_14