Analisis Pengaruh Permintaan dan Penawaran Beras di Kota Medan

Lampiran 1
TABULASI DATA VARIABEL PERTAHUN
Kuantitas Beras
dalam Kg.
No

Tahun

(P)

PDRB
dalam Rp.
(Y)

Jumlah
Penduduk
dalam Jiwa.
(N)

ICH Kota
Medan

dalam mm.
(W)

Harga
dalam Rp.

(Qd=Qs)

1

1997

182.306.688

1.134

7.031.631

1.899.028


1.358

2

1998

182.502.432

2.290

9.737.646

1.901.067

2.100

3

1999


182.640.000

2.859

10.922.094

1.902.500

2.584

4

2000

182.810.208

2.693

13.958.607


1.904.273

1.969

5

2001

184.945.920

2.850

17.145.664

1.926.520

2.843

6


2002

188.532.672

3.324

19.660.543

1.963.882

1.733

7

2003

191.385.792

3.309


22.542.021

1.993.602

2.676

8

2004

192.589.632

3.302

33.115.347

2.006.142

2.291


9

2005

195.473.760

3.907

42.792.450

2.036.185

2.154

10

2006

198.459.648


4.885

48.849.947

2.067.288

2.707

11

2007

199.982.976

5.586

55.455.549

2.083.156


2.623

12

2008

201.802.080

5.989

65.277.871

2.102.105

2.328

13

2009


203.621.088

6.345

72.630.208

2.121.053

2.494

14

2010

204.074.112

6.925

83.315.016


2.125.772

1.776

15

2011

208.629.504

8.250

93.462.489

2.173.224

2.599

16

2012

203.789.184

8.584

105.110.723

2.122.804

2.294

17

2013

205.009.536

9.667

119.715.482

2.135.536

1.989

18

2014

215.750.400

10.208

137.074.227

2.247.400

1.980

Universitas Sumatera Utara

Lampiran 2


Hasil Persamaan Simultan Pengaruh Harga Beras, PDRB Perkapita dan
Jumlah Penduduk terhadap Permintaan Beras di Kota Medan

Dependent Variable: QD
Method: Least Squares
Date: 11/10/15 Time: 08:41
Sample: 1997 2014
Included observations: 18
Variable
Coefficient
C
4067061.
P
-309.6961
Y
25.65901
N
94.12114
R-squared
0.999755
Adjusted R-squared
0.999703
S.E. of regression
168450.9
Sum squared resid
3.97E+11
Log likelihood
-239.8983
F-statistic
19058.73
Prob(F-statistic)
0.000000

Std. Error
t-Statistic
2218595.
1.833170
43.04323
-7.195002
2.002106
12.81601
1.189690
79.11398
Mean dependent var
S.D. dependent var
Akaike info criterion
Schwarz criterion
Hannan-Quinn criter.
Durbin-Watson stat

Prob.
0.0081
0.0000
0.0000
0.0000
1.95E+08
9770341.
27.09981
27.29767
27.12709
1.133400

Estimation Equation :
==================

Estimation Coefficient :
==================
Qd = 4067061 – 309,6961P + 25,65901Y + 94,12114N

Universitas Sumatera Utara

Lampiran 3


Hasil Persamaan Simultan Pengaruh Harga Beras, Jumlah Penduduk dan
Indek Curah Hujan terhadap Penawaran Beras di Kota Medan

Dependent Variable: QS
Method: Least Squares
Date: 11/10/15 Time: 19:21
Sample: 1997 2014
Included observations: 18
Variable
Coefficient
C
-1.350808
P
3768.859
N
195.2733
W
-12496.69
R-squared
0.933018
Adjusted R-squared
0.918665
S.E. of regression
8813386.
Sum squared resid
1.09E+15
Log likelihood
-311.1311
F-statistic
65.00387
Prob(F-statistic)
0.000000

Std. Error
t-Statistic
1.08E+08 -1.253147
2205.237
1.709049
58.50361
3.337799
5386.905 -2.319827
Mean dependent var
S.D. dependent var
Akaike info criterion
Schwarz criterion
Hannan-Quinn criter.
Durbin-Watson stat

Prob.
0.2307
0.0095
0.0049
0.0360
2.53E+08
30903206
35.01457
35.21243
35.04185
1.325879

Estimation Equation :
==================

Estimation Coefficient :
==================
Qs = -1,350808 + 3768,859P + 195,2733N - 12496.69W

Universitas Sumatera Utara

Lampiran 4


Hasil Persamaan Simultan Pengaruh PDRB Perkapita dan Indeks Curah
Hujan terhadap Harga Beras di Kota Medan

Dependent Variable: P
Method: Least Squares
Date: 11/10/15 Time: 08:29
Sample: 1997 2014
Included observations: 18
Variable
Coefficient
C
4500.957
Y
0.009288
W
0.075868
R-squared
0.719808
Adjusted R-squared
0.682449
S.E. of regression
4.90E-12
Sum squared resid
3.60E-22
Log likelihood
444.8530
F-statistic
4.87E+28
Prob(F-statistic)
0.000000

Std. Error
t-Statistic
6.98E-12
6.45E+14
2.98E-17
3.12E+14
2.97E-15
2.55E+13
Mean dependent var
S.D. dependent var
Akaike info criterion
Schwarz criterion
Hannan-Quinn criter.
Durbin-Watson stat

Prob.
0.0000
0.0000
0.0000
5117.056
370.8770
-49.09477
-48.94638
-49.07431
2.224603

Estimation Equation :
==================

P = Π 0 + Π 1Y + Π 2W + U

Estimation Coefficient :
==================
P = 4500,957 + 0,009288Y + 0,075868W

Universitas Sumatera Utara