A. Ketersediaan Beras
Tahun Ketersediaan
Beras
(Kg)
Luas Panen
Padi
Konsumsi beras
(Kg/kap/tahun)
Y
X1
X2
X3
X4
2001
1.832.426.000
801.948
2.523
11.647.958
132,1
2002
1.992.889.000
765.161
2.913
11.783.503
119,2
2003
2.150.743.000
825.188
2.894
11.991.182
117,8
2004
2.160.669.000
826.091
3.052
12.160.536
116,4
2005
2.301.265.000
822.073
3.701
12.326.678
117,40
2006
2.156.550.000
705.023
4.807
12.643.494
115,9
2007
2.296.073.000
750.232
5.474
12.834.371
114,5
2008
2.383.030.000
748.540
6.028
13.042.317
114,07
2009
2.016.709.000
768.407
6.194
13.248.386
108,7
2010
2.063.335.000
754.674
7.830
12.982.204
108,33
B. Ketersediaan Cabai
Tahun Ketersediaan
Cabai
2003
1.066.722.000
135.778.000
10.185
12.685
117,8
2004
1.100.514.000
126.711.000
11.290
12.357
116,4
2005
1.058.023.000
93.170.000
15.750
13.095
117,40
2006
1.185.057.000
84.293.000
23.250
14.214
115,9
2007
1.128.792.000
112.843.000
12.230
14.931
114,5
2008
1.153.060.000
95.034.000
29.371
19.411
114,07
2009
1.378.727.000
97.885.000
18.758
17.831
108,7
2010
1.328.864.000
52.320.000
39.802
20.927
108,33
(Sumber : BKP dan BPSProvinsi Sumatera Utara).
Lampiran 2
A. Konsumsi Beras
Tahun
Konsumsi
Beras
Produksi beras
(Kg)
Pendapatan/
kap
(Rp)
Y
X1
X2
X3
X4
2001
132,1
11.647.958
2.523
3.291.515.000
6.123.457
2002
119,2
11.783.503
2.913
3.153.305.000
6.227.408
2003
117,8
11.991.182
2.894
3.403.075.000
6.300.265
2004
116,4
12.160.536
3.052
3..418.782.000
6.648.423
2005
117,40
12.326.678
3.701
3.447.393.000
6.885.535
2006
115,9
12.643.494
4.807
3.007.636.000
7.070.876
2007
114,5
12.834.371
5.474
3.256.833.000
7.422.254
2008
114,07
13.042.317
6.028
3.340.796.000
7.950.282
2009
108,7
13.248.386
6.194
3.527.899.000
8.005.165
2010
108,33
12.982.204
7.830
3.582.302.000
8.516.999
B. Konsumsi Cabai
Tahun
Konsumsi Cabai
(Kg/kap/tahun)
(Sumber : BKP dan BPS Sumatera Utara).
Correlations
ketersediaan
beras
luas panen
padi harga beras
jumlah
penduduk
konsumsi
beras
Pearson
Correlation
ketersediaan beras 1.000 .504 .369 .320 .393
luas panen padi .504 1.000 .603 .554 .363
harga beras .369 .603 1.000 .918 .778
jumlah penduduk .320 .554 .918 1.000 .831
konsumsi beras .393 .363 .778 .831 1.000
Sig. (1-tailed) ketersediaan beras . .069 .147 .184 .130
luas panen padi .069 . .033 .048 .152
harga beras .147 .033 . .000 .004
jumlah penduduk .184 .048 .000 . .001
konsumsi beras .130 .152 .004 .001 .
N ketersediaan beras 10 10 10 10 10
luas panen padi 10 10 10 10 10
harga beras 10 10 10 10 10
jumlah penduduk 10 10 10 10 10
konsumsi beras 10 10 10 10 10
Model Summaryb
Model R
R Adjusted R Std. Error of
Square Square the Estimate R Square
Change F
Change df1 df2 Sig. F Change
1 .983a .966 .939 4.296E7 .966 35.355 4 5 .001 1.743
a. Predictors: (Constant), konsumsi beras, luas panen padi , harga beras,
jumlah penduduk
b. Dependent Variable: ketersediaan beras
ANOVAb
Model Sum of Squares Df Mean Square F Sig.
1 Regression 2.610E17 4 6.525E16 35.355 .001a
Residual 9.228E15 5 1.846E15
Total 2.702E17 9
a. Predictors: (Constant), konsumsi beras, luas panen padi , harga beras, jumlah penduduk
b. Dependent Variable: ketersediaan beras
Model
Unstandardized
Coefficients
Standardi
zed
Coefficien
ts
T Sig.
Correlations
Collinearity
Statistics
B Std. Error Beta
Zero-order Partial Part Tolerance VIF
1 (Constant) 5.549E8 1.283E9 2.433 .002
luas panen
padi 4876.733 456.028 1.141 10.694 .000 .504 .979 .884 .599 1.668
harga
beras 111971.380 21159.089 1.161 5.292 .003 .369 .921 .437 .142 7.049
jumlah
penduduk 33.416 73.085 .109 3.457 .007 .320 .200 .038 .121 8.252
konsumsi
beras 155231.484 3.970E6 .006 2.039 .005 -.393 .017 .003 .290 3.449
Lampiran 4. Hasil Regresi Linear Berganda Menggunakan SPSS dengan
Variabel Bebas, produksi cabai, harga cabai, harga ikan dan konsumsi beras di
Sumatera Utara Tahun 2001-2010.
Correlations
Ketersediaan
cabai
Produksi
cabai
harga
cabai
harga
ikan konsumsi beras
Pearson
Correlation
Ketersediaan cabai 1.000 .198 .674 .822 .894
Produksi cabai .198 1.000 .606 .549 .471
harga cabai .674 .606 1.000 .716 .624
harga ikan .822 .549 .716 1.000 .955
konsumsi beras .894 .471 .624 .955 1.000
Sig. (1-tailed) Ketersediaan cabai . .000 .000 .000 .000
Produksi cabai .000 . .000 .000 .000
harga cabai .000 .000 . .000 .000
harga ikan .000 .000 .000 . .000
konsumsi beras .000 .000 .000 .000 .
N Ketersediaan cabai 10 10 10 10 10
Produksi cabai 10 10 10 10 10
harga cabai 10 10 10 10 10
harga ikan 10 10 10 10 10
Model Summaryb
Model R
R
Square
Adjusted R
Square
Std. Error of the
Estimate
Change Statistics
Durbin-Watson R Square
Change F Change df1 df2
Sig. F
Change
1 .986a .973 .951 5.808E7 .973 44.328 4 5 .000 2.110
a. Predictors: (Constant), konsumsi beras, Produksi cabai, harga cabai,
harga ikan
b. Dependent Variable: Ketersediaan cabai
ANOVAb
Model Sum of Squares Df Mean Square F Sig.
1 Regression 5.982E17 4 1.496E17 44.328 .000a
Residual 1.687E16 5 3.374E15
Total 6.151E17 9
a. Predictors: (Constant), konsumsi beras, Produksi cabai, harga cabai, harga ikan
Coefficientsa
Model
Unstandardized
Coefficients
Standardized
Coefficients
T Sig.
Correlations
Collinearity
Statistics
B Std. Error Beta
Zero-order Partial Part Tolerance VIF
1 (Constant) 6.863E9 1.366E9 5.023 .004
Produksi
cabai 4.034 .918 .421 4.394 .007 .198 .891 .325 .597 1.676
harga cabai 12913.956 2897.080 .523 4.458 .007 .674 .894 .330 .399 2.506
harga ikan -27234.187 13516.264 -.598 -2.015 .003 .822 -.669 -.149 .162 6.065
konsumsi
beras -5.218E7 1.024E7 -1.337 -5.097 .004 .894 -.916 -.378 .180 2.549
Lampiran 5. Hasil Regresi Linear Berganda Menggunakan SPSS dengan
Variabel Bebas, jumlah penduduk, harga beras, produksi beras dan pendapatan
di Sumatera Utara Tahun 2001-2010
.
Correlations
Konsumsi
beras
jumlah
penduduk harga beras produksi beras Pendapatan
Pearson
Correlation
Konsumsi beras 1.000 .831 .778 .393 .799
jumlah penduduk .831 1.000 .918 .320 .944
harga beras .778 .918 1.000 .369 .984
produksi beras .393 .320 .369 1.000 .460
Pendapatan .799 .944 .984 .460 1.000
Sig. (1-tailed) Konsumsi beras . .001 .004 .030 .003
jumlah penduduk .001 . .000 .084 .000
harga beras .004 .000 . .047 .000
produksi beras .030 .084 .047 . .091
Pendapatan .003 .000 .000 .091 .
N Konsumsi beras 10 10 10 10 10
jumlah penduduk 10 10 10 10 10
harga beras 10 10 10 10 10
Correlations
Konsumsi
beras
jumlah
penduduk harga beras produksi beras Pendapatan
Pearson
Correlation
Konsumsi beras 1.000 .831 .778 .393 .799
jumlah penduduk .831 1.000 .918 .320 .944
harga beras .778 .918 1.000 .369 .984
produksi beras .393 .320 .369 1.000 .460
Pendapatan .799 .944 .984 .460 1.000
Sig. (1-tailed) Konsumsi beras . .001 .004 .030 .003
jumlah penduduk .001 . .000 .084 .000
harga beras .004 .000 . .047 .000
produksi beras .030 .084 .047 . .091
Pendapatan .003 .000 .000 .091 .
N Konsumsi beras 10 10 10 10 10
jumlah penduduk 10 10 10 10 10
harga beras 10 10 10 10 10
produksi beras 10 10 10 10 10
Model Summaryb
Model R
R
Square
Adjusted
R Square
Std. Error of the
Estimate
Change Statistics
Durbin-Watson R Square
Change F Change df1 df2
Sig. F
Change
1 .850a .723 .501 4.732 .723 3.261 4 5 .013 1.735
a. Predictors: (Constant),pendapatan, produksi beras,jumlah
penduduk,harga beras
b. Dependet Variabel : Konsumsi beras
ANOVAb
Model Sum of Squares Df Mean Square F Sig.
1 Regression 292.063 4 73.016 3.261 .013a
Residual 111.937 5 22.387
Total 404.000 9
a. Predictors: (Constant), pendapatan, produksi beras, jumlah penduduk, harga beras
Coefficientsa
Model
Unstandardized
Coefficients
Standardized
Coefficients
t Sig.
Correlations
Collinearity
Statistics
B
Std.
Error Beta
Zero-order Partial Part Tolerance VIF
1 (Constant) 259.009 89.545 2.892 .004
jumlah
penduduk 5.304 .204 1.096 2.224 .005 .831 .480 .288 .169 4.451
harga beras 2.003 .412 .909 3.492 .003 .778 .215 .116 .216 5.519
produksi beras 4.112 .394 .288 2.740 .007 .393 .314 .174 .367 2.728
pendapatan 6.014 .279 1.262 4.503 .002 .799 .220 .119 .209 3.371
a. Dependent Variable: Konsumsi
Lampiran 6. Hasil Regresi Linear Berganda Menggunakan SPSS dengan
Variabel Bebas, pendapatan, harga cabai, dan produksi cabai di Sumatera
Utara Tahun 2001-2010.
Correlations
Konsumsi cabai
Pendapatan/kapi
ta Harga cabai Produksi cabai
Pearson
Correlation
Konsumsi cabai 1.000 .190 .134 .182
Pendapatan/kapita .190 1.000 .867 .517
Harga cabai .134 .867 1.000 .606
Produksi cabai .182 .517 .606 1.000
Sig. (1-tailed) Konsumsi cabai . .030 .056 .007
Pendapatan/kapita .030 . .001 .063
Harga cabai .056 .001 . .032
Produksi cabai .007 .063 .032 .
N Konsumsi cabai 10 10 10 10
Pendapatan/kapita 10 10 10 10
Harga cabai 10 10 10 10
Model Summaryb
Model R R
Square
Adjusted R
Square
Std. Error of the
Estimate
Change Statistics
Durbin-Watson R Square
Change F Change df1 df2
Sig. F
Change
1 .838a .857 .815 7.971 .857 8.120 3 6 .045 2.618
a. Predictors: (Constant), Produksi cabai, Pendapatan/kapita,
Harga cabai
b. Dependent Variable: Konsumsi cabai
ANOVAb
Model Sum of Squares Df Mean Square F Sig.
1 Regression .340 3 .113 8.120 .045a
Residual 5.660 6 .943
Total 6.000 9
a. Predictors: (Constant), Produksi cabai, Pendapatan/kapita, Harga cabai
Coefficientsa
Model
Unstandardized
Coefficients
Standardized
Coefficients
T Sig.
Correlations
Collinearity
Statistics
B Std. Error Beta
Zero-order Partial Part Tolerance VIF
1 (Constant) 6.310 4.982 2.367 .002
Pendapatan/kapita 2.957 .413 .302 2.380 .001 .190 .153 .151 .248 4.025
Harga cabai 2.755 .270 .227 3.266 .009 .134 .108 .105 .214 4.664
Produksi cabai 4.903 .221 .164 2.329 .004 .182 .133 .130 .632 1.582
