Lampiran 1. Luas Panen, Produksi, dan Rata-Rata Produksi Jagung Menurut
Kabupaten/Kota di Sumatera Utara Tahun 2011
Kabupaten/Kota
Luas Panen
Produksi
Rata-rata
Produksi
Lampiran 2. Penawaran Jagung di Sumatera Utara Tahun 2003-2012
Tahun
Penawaran Jagung (Ton)
Total (Ton)
Produksi
Ekspor
Import
Stok
2003
687.360
930,375
149.477,531
45.835
881.742,156
2004
712.560
2.846,095
138.951,065
107.642
956.306,970
2005
735.456
354,000
15.534,457
202.093
952.729,457
2006
682.024
225,000
145.215,395
101.685
928.699,395
2007
804.850
5.273,153
55.064,975
27.127
881.768,822
2008
1.098.969
314,476
40.519,017
91.202
1.230.375,541
2009
1.166.548
179,479
102.475,113
466.224
1.735.067,634
2010
1.377.718
212,705
100.846,810
409.013
1.887.365,105
2011
1.294.645
416,631
305.818,856
455.184
2.055.231,225
2012
1.369.090
386,000
217.083,050
512.875
2.098.662,050
Sumber :
Produksi,Ekspor,Impor ; Badan Pusat Statistik Sumatera Utara, Stok ;
Badan Ketahanan Pangan Sumatera Utara
Lampiran 3. Permintaan Jagung di Sumatera Utara Tahun 2003-2012
Tahun
Permintaan Jagung (Ton)
konsumsi+industri
Lampiran 4. Harga Jagung Tingkat Produsen di Sumatera Utara Tahun 2003-2012
Tahun
Harga
Jagung (Rp/ton)
2003
1.024.000
2004
1.175.000
2005
1.348.000
2006
1.360.000
2007
1.722.000
2008
2.245.000
2009
2.605.000
2010
2.797.000
2011
3.006.000
2012
2.708.000
Sumber: Dinas Pertanian Sumatera Utara
Lampiran 5. Harga Eceran Urea di Sumatera Utara Tahun 2003-2012
Tahun
Harga Eceran Urea
(Rp/ton)
2003
1.532.540
2004
1.642.850
2005
1.772.920
2006
2.007.570
2007
1.974.800
2008
2.290.770
2009
1.830.070
2010
3.485.400
2011
3.605.000
2012
6.717.000
Lampiran 6. Jumlah Perusahaan Pakan Ternak di Sumatera Utara Tahun
2003-2012
Tahun
Jumlah perusahaan
pakan(unit)
2003
6
2004
6
2005
6
2006
7
2007
7
2008
7
2009
7
2010
7
2011
8
2012
10
Lampiran 7. Hasil Analisis Regresi Faktor-faktor yang mempengaruhi Penawaran
Jagung di Sumatera Utara
Variables Entered/Removedb
Model Variables Entered Variables Removed Method
1 penawaransebelum,
hargaureasebelum,
hargajagungsebeluma
. Enter
a. All requested variables entered.
b. Dependent Variable: penawaran
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 2.111E12 3 7.037E11 49.803 .000a
Residual 7.065E10 5 1.413E10
Total 2.182E12 8
a. Predictors: (Constant), penawaransebelum , hargaureasebelum,
hargajagungsebelum,
b. Dependent Variable: penawaran
Model Summaryb
Model R R Square
Adjusted R
Square
Std. Error of
the Estimate
Change Statistics
R Square
Change F Change df1 df2
Sig. F
Change
1 .984a .968 .948 1.188708E5 .968 49.803 3 5 .000
a. Predictors: (Constant), penawaransebelum , hargaureasebelum,
hargajagungsebelum
Coefficientsa
Collinearity Statistics
B Std. Error Beta Tolerance VIF
1 (Constant) 123590.050 130041.844 .950 .386
hargajagungsebelum .656 .175 .948 3.756 .013 .102 9.833
hargaureasebelum -.045 .099 -.067 -.459 .666 .303 3.298
penawaransebelum .104 .277 .095 .375 .723 .100 9.967
a. Dependent Variable: penawaran
Coefficient Correlationsa
Model penawaransebelum hargaureasebelum
hargajagungsebelu
m
1Correlations penawaransebelum 1.000 -.257 -.829
hargaureasebelum -.257 1.000 -.231
hargajagungsebelum -.829 -.231 1.000
Covariances penawaransebelum .077 -.007 -.040
hargaureasebelum -.007 .010 -.004
hargajagungsebelum -.040 -.004 .030
a. Dependent Variable: penawaran
Collinearity Diagnosticsa
Model Dimension Eigenvalue
Condition
Index
Variance Proportions
(Constant)
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 8.17156E5 2.14464E6 1.41402E6 5.137126E5 9
Std. Predicted Value -1.162 1.422 .000 1.000 9
Standard Error of Predicted
Value 5.103E4 1.152E5 7.721E4 18956.374 9
Adjusted Predicted Value 7.28943E5 2.56444E6 1.47360E6 6.334455E5 9
Residual
-1.390261E5 1.391515E5 .000000 9.397564E4 9
Std. Residual -1.170 1.171 .000 .791 9
Stud. Residual -1.410 1.496 -.078 1.085 9
Deleted Residual
-6.770788E5 2.273641E5
-5.957535E
4
2.723616E5 9
Stud. Deleted Residual -1.625 1.801 -.068 1.208 9
Mahal. Distance .586 6.621 2.667 1.780 9
Cook's Distance .013 7.614 .966 2.496 9
Centered Leverage Value .073 .828 .333 .223 9
One-Sample Kolmogorov-Smirnov Test
penawaran
hargajagungs
ebelum
hargaurease
belum
penawarans
ebelum
N 9 9 9 9
Normal Parametersa Mean 1.41402E6 1.92022E6 2.23799E6 1.27881E6
Std. Deviation 5.222376E5 7.550831E5 7.733399E5 4.785270E5
Most Extreme
Differences
Absolute .254 .215 .284 .305
Positive .254 .215 .284 .305
Negative -.175 -.151 -.181 -.203
Kolmogorov-Smirnov Z .762 .646 .851 .916
Asymp. Sig. (2-tailed) .607 .798 .463 .371
Lampiran 8. Hasil Analisis Regresi Faktor-faktor yang mempengaruhi Permintaan
Jagung di Sumatera Utara
Variables Entered/Removedb
Model Variables Entered Variables Removed Method
1 permintaansebelum,
hargajagungsekarang,
jumlahindustripakana
. Enter
a. All requested variables entered.
b. Dependent Variable: permintaan
Model Summaryb
Model R R Square
Adjusted R
Square
Std. Error of
the Estimate
Change Statistics
R
a. Predictors: (Constant), permintaansebelum, hargajagungsekarang
jumlahindustripakan
b. Dependent Variable: permintaan
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 6.051E10 3 2.017E10 3.653 .099a
Residual 2.761E10 5 5.521E9
Total 8.811E10 8
a. Predictors: (Constant), permintaansebelum, hargajagungsekarang jumlahindustripakan
Coefficientsa
Collinearity Statistics
B Std. Error Beta Tolerance VIF
1(Constant) 600415.540 348387.687 1.723 .145
hargajagungsekarang -.036 .059 -.243 -.603 .573 .384 2.601
jumlahindustripakan 114022.421 56241.635 1.306 2.027 .098 .151 6.620
permintaansebelum -.631 .725 -.443 -.871 .424 .243 4.122
a. Dependent Variable: permintaan
Coefficient Correlationsa
Model
permintaan
sebelum
hargajagung
sekarang jumlahindustripakan
1 Correlations permintaansebelum 1.000 .589 -.862
hargajagungsekarang .589 1.000 -.770
jumlahindustripakan -.862 -.770 1.000
Covariances permintaansebelum .525 .025 -35147.236
hargajagungsekarang .025 .004 -2576.129
jumlahindustripakan -35147.236 -2576.129 3.163E9
a. Dependent Variable: permintaan
Collinearity Diagnosticsa
Model Dimension Eigenvalue
Condition
Index
Variance Proportions
(Constant)
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 7.4404E5 1.0235E6 8.3947E5 86966.38227 9
Std. Predicted Value -1.097 2.116 .000 1.000 9
Standard Error of Predicted
Value 2.764E4 7.054E4 4.815E4 12345.149 9
Adjusted Predicted Value 6.9295E5 9.0740E5 8.1283E5 58736.96971 9
Residual -7.72811E4 1.13960E5 .00000 58744.58364 9
Std. Residual -1.040 1.534 .000 .791 9
Stud. Residual -1.335 1.846 .087 1.073 9
Deleted Residual -1.27404E5 2.36257E5 2.66387E4 1.28580E5 9
Stud. Deleted Residual -1.489 2.924 .211 1.349 9
Mahal. Distance .218 6.320 2.667 1.799 9
Cook's Distance .001 2.278 .440 .728 9
Centered Leverage Value .027 .790 .333 .225 9
One-Sample Kolmogorov-Smirnov Test
permintaan
hargajagungse
karang
jumlahindu
stripakan
permintaan
sebelum
N 9 9 9 9
Normal Parametersa Mean
8.3947E5 2.1073E6 7.2222 806493.00
00
Std. Deviation
1.04948E5 7.12696E5 1.20185 73601.797
27
Most Extreme Differences Absolute .307 .202 .351 .303
Positive .307 .186 .351 .303
Negative -.212 -.202 -.204 -.221
Kolmogorov-Smirnov Z .920 .606 1.053 .908
Asymp. Sig. (2-tailed) .366 .856 .217 .382
Lampiran 9. Hasil Analisis Regresi Harga Terhadap Penawaran Jagung di
Sumatera Utara Tahun 2003-2012
Variables Entered/Removedb
Model Variables Entered Variables Removed Method
1 hargajagungsebeluma . Enter
a. All requested variables entered.
b. Dependent Variable: penawaran
Model Summary
Model R R Square Adjusted R Square Std. Error of the Estimate
1 .984a .969 .965 9.715192E4
a. Predictors: (Constant), hargajagungsebelum
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 2.361E12 1 2.361E12 250.182 .000a
Residual 7.551E10 8 9.438E9
Total 2.437E12 9
a. Predictors: (Constant), hargajagungsebelum
b. Dependent Variable: penawaran
Coefficientsa
Lampiran 10. Hasil Analisis Regresi Harga Terhadap Permintaan Jagung di
Sumatera Utara
Variables Entered/Removedb
Model Variables Entered Variables Removed Method
1 hargajagungsekaranga . Enter
a. All requested variables entered.
b. Dependent Variable: permintaan
Model Summary
Model R R Square Adjusted R Square Std. Error of the Estimate
1 .545a .297 .210 9.149599E4
a. Predictors: (Constant), hargajagungsekarang
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 2.835E10 1 2.835E10 3.386 .103a
Residual 6.697E10 8 8.372E9
Total 9.532E10 9
a. Predictors: (Constant), hargajagungsekarang
b. Dependent Variable: permintaan
Coefficientsa
