Analisis Efisiensi dan Optimasi Serta Faktor-Faktor yang Mempengaruhi Penggunaan Pupuk Kimia oleh Petani Pada Tanaman Cabai Merah (Capsicum Annum L) di Kabupaten Simalungun
3
LAMPIRAN
Universitas Sumatera Utara
4
Lampiran 1. Karakteristik Sampel
Jenis
No Nama Petani
Kelamin
(Lk/Pr)
Lk
1 Berman Purba
Lk
2 Jhon Hendra
Purba
Lk
3 Rido Purba
Lk
4 Alpiansus
Purba
Lk
5 Muda Setia
Saragih
Lk
6 Jopendry
Purba
Lk
7 Romy Siboro
Rijalsen
Purba
Lk
8
Lk
9 Iwan Hariadi
Lk
10 Hotben Purba
Lk
11 Rahmat Purba
Lk
12 Khondison L
Lk
13 Maris Malau
Lk
14 Radison
Saragih
Lk
15 Gusman
Saragih
Lk
16 Kuriaman
Saragih
Lk
17 Derihamson
Usia
(Tahun)
Pendidikan
45
29
SMA
SMA
Pengalaman
Bertani (Tahun)
15
7
41
39
SMA
SMA
17
19
38
SMA
20
38
SMA
16
40
40
41
36
39
39
48
38
SMA
SMA
SMA
SMA
SMA
SMA
SMA
SMA
22
17
23
15
16
21
29
20
38
SMA
16
65
SMA
40
Luas
Panen
(Ha)
1,14
0,568
0,568
Penerimaan Per
Periode Tanam
(Rp)
240.000.000
120.000.000
40.000.000
60.000.000
0,568
60.000.000
0,568
40.000.000
1,14
1
1
0,712
0,756
0,568
0,68
0,828
140.000.000
175.000.000
150.000.000
132.500.000
100.000.000
144.000.000
174.000.000
150.000.000
0,856
80.000.000
0,568
42
SMA
23
120.000.000
0,568
0,64
148.500.000
Universitas Sumatera Utara
5
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
Saragih
Firdolin
Sinaga
Pasto Sejabat
Kristianus
Lingga
Loncer
Nainggolan
Ruslim Purba
Pardiaman
Purba
Dondry
Sinaga
Lady Purba
Jokerman
Saragih
Jhon Merei
Saragih
Fransiskus
Purba
Jhon Edwad
Purba
Jonner
Sipayung
Bahner
Sipayung
Kasiasmer
Sipayung
Lk
45
SMA
18
Lk
Lk
47
44
SMA
SMA
25
20
Lk
43
SMA
25
Lk
Lk
45
35
SMA
SMA
23
20
150.000.000
0,712
1
210.000.000
280.000.000
1,14
480.000.000
2,132
2,856
600.000.000
240.000.000
1,14
Lk
Lk
Lk
42
44
42
SMA
Sarjana
SMA
21
22
20
216.000.000
1,028
2,856
600.000.000
150.000.000
0,856
Lk
39
SMA
17
300.000.000
1,428
Lk
46
Sarjana
22
600.000.000
2,856
Lk
42
SMA
24
300.000.000
1,428
Lk
41
SMA
19
104.000.000
0,74
Lk
43
SMA
22
Lk
43
SMA
20
375.000.000
2,14
100.000.000
0,712
Universitas Sumatera Utara
6
33
34
35
36
37
38
39
40
41
42
Relinson
Sipayung
Arlensius
Sipayung
Saurman
Purba
Archimedes
Sinaga
Ramli Sinaga
Halimah
Saragih
Untung
Sipayung
Jan Suardi
Purba
Hendri
Kisinger
Tonni Sinaga
Lk
46
SMA
25
80.000.000
0,568
Lk
46
SMA
23
102.500.000
0,584
Lk
58
SMA
40
Lk
46
SMA
28
Lk
Pr
46
43
SMA
SMA
28
25
86.000.000
0,612
120.000.000
0,856
2,14
300.000.000
80.000.000
0,568
Lk
54
SMA
36
250.000.000
1,428
Lk
42
SMA
24
Lk
39
SMA
21
Lk
55
SMA
37
375.000.000
2,132
100.000.000
0,568
0,568
80.000.000
Universitas Sumatera Utara
7
Lampiran 2. Jumlah Dosis, Produksi, Harga Jual Cabai Merah, dan Penerimaan Petani Cabai Merah/Ha/Periode Tanam
JUMLAH PUPUK KIMIA (Kg)
NO
1
2
3
4
5
6
7
8
9
10
NAMA
PETANI
Berman
Purba
Jhon
Hendra
Purba
Rido
Purba
Alpiansus
Purba
Muda
Setia
Saragih
Jopendry
Purba
Romy
Siboro
Rijalsen
Purba
Iwan
Hariadi
Hotben
Purba
BIAYA
PUPUK (Rp)
JUMLAH
PRODUKSI
CABAI MERAH
PER PERIODE
TANAM (Kg)
HARGA
JUAL
CABAI
MERAH/Kg
(Rp)
PENERIMAAN
PETANI
TSP
KCL
KOMPL
EKS
(NPK)
850
255
255
340
1.700
9.265.000
21.052,63
15.000
315.789.450
1000
100
600
100
2.000
8.600.000
21.126,76
15.000
316.901.400
420
420
420
560
1.400
12.614.000
7.042,25
10.000
70.422.500
206
412
824
618
2.060
15.388.200
10.563,38
10.000
105.633.800
549
219,6
109
219,6
1.098
5.978.500
10.563,38
10.000
105.633.800
200
100
100
100
500
2.940.000
3.508,77
18.000
63.157.860
500
100
200
200
1.000
5.450.000
14.000
20.000
280.000.000
600
216
264
120
1.200
6.180.000
17.500
25.000
437.500.000
400
400
600
600
2.000
14.080.000
21.067,42
15.000
316.011.300
200
200
800
800
2.000
15.540.000
17.460,32
15.000
261.904.800
ZA
TOTAL
Universitas Sumatera Utara
8
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
Rahmat
Purba
800
Khondiso
2100
n Lingga
Maris
Malau
350
Radison
Saragih
325
Gusman
Saragih
460
Kuriaman
Saragih
990
Derihams
on Saragih 750
Firdolin
Sinaga
850
Pasto
Sejabat
660
Kristianus
Lingga
800
Loncer N
936
Ruslim
Purba
1200
Pardiaman
Purba
615
Dondry
Sinaga
750
Lady
800
320
400
80
1.600
8.000.000
21.605,63
25.000
540.140.750
150
450
300
3.000
12.870.000
24.176,47
10.000
241.764.700
140
105
105
700
3.710.000
8.014,49
10.000
80.144.900
65
97,5
162,5
650
3.640.000
5.523,36
10.000
55.233.600
46
184
230
920
5.152.000
8.084,51
12.000
97.014.120
180
270
360
1.800
9.423.000
21.126,76
18.000
380.281.680
300
270
180
1.500
7.815.000
23.203,13
10.000
232.031.300
340
323
187
1.700
8.806.000
21.067,42
10.000
210.674.200
264
237,6
158,4
1.320
6.877.200
21.000
16.000
336.000.000
320
324
320
450
160
90
1.600
1.800
8.240.000
8.845.200
24.561,40
22.514,07
18.000
18.000
442.105.200
405.253.260
100
400
300
2.000
9.740.000
21.008,40
16.000
336.134.400
246
246
123
1.230
6.334.500
18.000,00
10.000
180.000.000
300
320
270
320
180
160
1.500
1.600
7.815.000
8.240.000
21.011,67
24.000
10.000
30.000
210.116.700
720.000.000
Universitas Sumatera Utara
9
26
27
28
29
30
31
32
33
34
35
36
37
38
39
Purba
Jokerman
Saragih
Jhon
Saragih
Fransiskus
Purba
Jhon
Edwad
Purba
Jonner
Sipayung
Bahner
Sipayung
Kasiasmer
Sipayung
Relinson
Sipayung
Arlensius
Sipayung
Saurman
Purba
Archimed
es Sinaga
Ramli s
Halimah
Saragih
Untung
480
192
96
615
246
233,7
800
320
700
192
960
5.232.000
12.523,36
30.000
375.700.800
135,3
1.230
6.371.400
18.000,00
14.000
252.000.000
320
160
1.600
8.240.000
24.000
18.000
432.000.000
280
280
140
1.400
7.210.000
21.000,00
20.000
420.000.000
575
172,5
287,5
115
1.150
5.922.500
14.054,05
10.000
140.540.500
600
240
180
180
1.200
6.360.000
17.523,36
20.000
350.467.200
134
502,5
502,5
536
1.675
12.756.800
14.044,94
12.000
168.539.280
146,5
549
640,5
494
1.830
13.662.050
14.084,51
10.000
140.845.100
190
570
760
570
1.900
15.523.000
17.551,37
10.000
175.513.700
595
178,5
297,5
119
1.190
6.128.500
14.052,29
20.000
281.045.800
174,5
180
436,2
540
523,5
450
610,75
630
1.745
1.800
13.296.900
13.716.000
14.018,69
14.018,69
12.000
10.000
168.224.280
140.186.900
86
600
516
240
774
216
344
144
1.720
1.200
12.702.200
6.252.000
14.084,51
15.000
12.000
30.000
169.014.120
450.000.000
Universitas Sumatera Utara
10
40
41
42
Sipayung
Jan Suardi
Purba
Hendri
Kisinger
Tonni
Sinaga
550
220
242
88
1.100
5.599.000
14.500,00
15.000
217.500.000
525
210
189
126
1.050
5.470.500
13.000,00
15.000
195.000.000
450
180
135
135
900
4.770.000
10.084,51
20.000
201.690.200
Universitas Sumatera Utara
11
Lampiran 3. Pendapatan Petani/Ha/Periode Tanam
BIAYA PRODUKSI (Rp)
NO
1
2
3
4
5
6
7
8
9
10
11
12
NAMA
PETANI
Berman
Purba
Jhon
Hendra
Purba
Rido Purba
Alpiansus
Purba
Muda Setia
Saragih
Jopendry
Purba
Romy
Siboro
Rijalsen
Purba
Iwan
Hariadi
Hotben
Purba
Rahmat
Khondison
TOTAL
BIAYA
PRODUKSI
(Rp)
PENERIMAAN
(Rp)
PENDAPATAN
(Rp)
PUPUK
KIMIA
KOMPOS
PESTISIDA
MULSA
TENAGA
KERJA
9.265.000
11.200.000
4.000.000
1.100.000
37.000.000
62.565.000
315.789.450
253.224.450
8.600.000
11.000.000
4.500.000
1.100.000
37.000.000
62.200.000
316.901.400
254.701.400
12.614.000
11.200.000
5.000.000
1.100.000
37.000.000
66.914.000
70.422.500
35.085.000
15.388.200
11.200.000
4.200.000
1.100.000
37.000.000
68.888.200
105.633.800
36.745.600
5.978.500
11.200.000
4.000.000
1.100.000
37.000.000
59.278.500
105.633.800
46.355.300
2.940.000
11.200.000
4.000.000
1.100.000
37.000.000
56.240.000
63.157.860
69.178.600
5.450.000
11.200.000
4.000.000
1.100.000
37.000.000
58.750.000
280.000.000
221.250.000
6.180.000
11.200.000
4.000.000
1.100.000
37.000.000
59.480.000
437.500.000
378.020.000
14.080.000
11.000.000
4.000.000
1.100.000
37.000.000
67.180.000
316.011.300
248.831.300
15.540.000
11.200.000
4.000.000
1.100.000
37.000.000
68.840.000
261.904.800
193.064.800
8.000.000
12.870.000
11.200.000
11.000.000
4.000.000
4.000.000
1.100.000
1.100.000
37.000.000
37.000.000
61.300.000
65.970.000
540.140.750
241.764.700
478.840.750
175.794.700
Universitas Sumatera Utara
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
Maris
Malau
Radison S
Gusman
Saragih
Kuriaman
Saragih
Derihamso
n Saragih
Firdolin
Sinaga
Pasto
Sejabat
Kristianus
Lingga
Loncer N
Ruslim
Purba
Pardiaman
Purba
Dondry
Sinaga
Lady Purba
Jokerman
Saragih
Jhon
Saragih
Fransiskus
3.710.000
11.200.000
4.000.000
1.100.000
37.000.000
57.010.000
80.144.900
23.134.900
3.640.000
8.200.000
4.000.000
1.100.000
30.000.000
56.940.000
55.233.600
8.706.400
5.152.000
11.200.000
4.000.000
1.100.000
37.000.000
58.452.000
97.014.120
38.562.120
9.423.000
11.200.000
4.000.000
1.100.000
37.000.000
62.723.000
380.281.680
317.558.680
7.815.000
11.200.000
4.000.000
1.100.000
37.000.000
61.115.000
232.031.300
170.916.300
8.806.000
11.200.000
4.000.000
1.100.000
37.000.000
62.106.000
210.674.200
148.568.200
6.877.200
11.200.000
4.000.000
1.100.000
37.000.000
60.177.200
336.000.000
275.822.800
8.240.000
11.200.000
4.800.000
1.100.000
37.000.000
62.340.000
442.105.200
379.765.200
8.845.200
11.200.000
4.000.000
1.100.000
37.000.000
62.145.200
405.253.260
343.108.060
9.740.000
11.200.000
4.000.000
1.100.000
37.000.000
63.040.000
336.134.400
273.094.400
6.334.500
11.200.000
4.000.000
1.100.000
37.000.000
59.634.500
180.000.000
120.365.500
7.815.000
10.000.000
4.500.000
1.100.000
37.000.000
60.415.000
210.116.700
149.701.700
8.240.000
11.200.000
4.000.000
1.100.000
37.000.000
61.540.000
720.000.000
658.460.000
5.232.000
11.200.000
3.000.000
1.100.000
37.000.000
57.532.000
375.700.800
318.168.800
6.371.400
11.200.000
3.800.000
1.100.000
37.000.000
53.737.400
252.000.000
198.262.600
8.240.000
11.200.000
4.000.000
1.100.000
37.000.000
61.540.000
432.000.000
370.460.000
Universitas Sumatera Utara
13
29
30
31
32
33
34
35
36
37
38
39
40
41
42
Jhon
Edwad
Purba
Jonner
Sipayung
Bahner S
Kasiasmer
Sipayung
Relinson
Sipayung
Arlensius
Sipayung
Saurman
Purba
Archimedes
Sinaga
Ramli s
Halimah
Saragih
Untung
Sipayung
Jan Suardi
Purba
Hendri
Kisinger
Tonni S
7.210.000
11.200.000
4.000.000
1.100.000
37.000.000
60.510.000
420.000.000
359.490.000
5.922.500
11.200.000
4.000.000
1.100.000
37.000.000
59.222.500
140.540.500
81.318.000
6.360.000
11.200.000
4.000.000
1.100.000
37.000.000
59.660.000
350.467.200
290.807.200
12.756.800
11.200.000
4.000.000
1.100.000
37.000.000
66.056.800
168.539.280
102.482.480
13.662.050
11.200.000
4.000.000
1.100.000
37.000.000
66.962.050
140.845.100
73.883.050
15.523.000
11.200.000
4.000.000
1.100.000
37.000.000
68.823.000
175.513.700
106.690.700
6.128.500
10.200.000
4.500.000
1.100.000
37.000.000
58.928.500
281.045.800
222.117.300
13.296.900
11.200.000
4.000.000
1.100.000
37.000.000
66.596.900
168.224.280
101.627.380
13.716.000
11.200.000
4.000.000
1.100.000
37.000.000
67.016.000
140.186.900
73.170.900
12.702.200
11.200.000
4.000.000
1.100.000
37.000.000
66.002.200
169.014.120
103.011.920
6.252.000
10.800.000
4.000.000
1.100.000
37.000.000
59.152.000
450.000.000
390.848.000
5.599.000
11.000.000
6.000.000
1.100.000
37.000.000
60.699.000
217.500.000
156.801.000
5.470.500
11.000.000
4.000.000
1.100.000
37.000.000
58.570.500
195.000.000
136.429.500
4.770.000
11.100.000
4.000.000
1.100.000
37.000.000
57.970.000
201.690.200
143.720.200
Universitas Sumatera Utara
14
Lampiran 4. Output From The Program Frontier (Version 4.1c) The Model Is A Production
Function
Output from the program FRONTIER (Version 4.1c)
instruction file = terminal
data file =
t.txt
Error Components Frontier (see B&C 1992)
The model is a production function
The dependent variable is logge
the ols estimates are
coefficient
standard-error
t-ratio
beta 0
0.71147115E+01 0.85507408E-01 0.83205791E+02
beta 1
-0.92692179E-09 0.21230831E-09 -0.43659234E+01
sigma-squared 0.13263067E+00
log likelihood function = -0.16146898E+02
the estimates after the grid search were
beta 0
0.74722082E+01
beta 1
-0.92692179E-09
sigma-squared 0.25411880E+00
gamma
0.79000000E+00
mu is restricted to be zero
eta is restricted to be zero
iteration =
0 func evals =
0.74722082E+01-0.92692179E-09
gradient step
iteration =
5 func evals =
0.74421855E+01-0.85251284E-09
iteration =
10 func evals =
0.74398759E+01-0.85203884E-09
iteration =
15 func evals =
0.74388399E+01-0.85235211E-09
iteration =
20 func evals =
0.74395002E+01-0.85622160E-09
iteration =
25 func evals =
0.74403335E+01-0.85868627E-09
the final mle estimates are :
coefficient
beta 0
0.74403335E+01
beta 1
-0.85868627E-09
sigma-squared 0.24658939E+00
gamma
0.79191639E+00
mu is restricted to be zero
eta is restricted to be zero
20 llf = -0.14821484E+02
0.25411880E+00 0.79000000E+00
71 llf = -0.14755489E+02
0.25058385E+00 0.79644595E+00
93 llf = -0.14754699E+02
0.24893724E+00 0.79429505E+00
114 llf = -0.14754276E+02
0.24710308E+00 0.79293564E+00
135 llf = -0.14754010E+02
0.24688309E+00 0.79310346E+00
167 llf = -0.14753870E+02
0.24658939E+00 0.79191639E+00
standard-error
t-ratio
0.10049420E+00 0.74037444E+02
0.22346410E-09 -0.38426140E+01
0.79415912E-01 0.31050375E+01
0.13607731E+00 0.58196063E+01
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15
log likelihood function = -0.14753870E+02
LR test of the one-sided error =
0.27860562E+01
with number of restrictions = 1
[note that this statistic has a mixed chi-square
number of iterations =
25
(maximum number of iterations set at :
100)
number of cross-sections =
42
number of time periods =
1
total number of observations =
42
thus there are:
0 obsns not in the panel
covariance matrix
0.10099084E-01 -0.12659585E-10 0.42158637E-02
-0.12659585E-10 0.49936203E-19 0.22212009E-11
0.42158637E-02 0.22212009E-11 0.63068870E-02
0.64609215E-02 0.63923611E-11 0.78368884E-02
distribution]
0.64609215E-02
0.63923611E-11
0.78368884E-02
0.18517035E-
technical efficiency estimates :
firm
eff.-est.
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
0.72070919E+00
0.72678764E+00
0.78973652E+00
0.87861586E+00
0.70448486E+00
0.37742925E+00
0.60250745E+00
0.73781540E+00
0.72678764E+00
0.72678764E+00
0.82708662E+00
0.93385890E+00
0.47442314E+00
0.45113185E+00
0.34498697E+00
0.85399439E+00
0.80996270E+00
0.72070919E+00
0.77095544E+00
0.82708662E+00
0.85399439E+00
0.72678764E+00
0.74669564E+00
0.80996270E+00
0.82708662E+00
0.58664678E+00
0.74669564E+00
Universitas Sumatera Utara
16
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
mean efficiency =
0.82708662E+00
0.78973652E+00
0.72209101E+00
0.73781540E+00
0.83820133E+00
0.85734631E+00
0.86459667E+00
0.73476372E+00
0.84742835E+00
0.85399439E+00
0.72114887E+00
0.73781540E+00
0.70518587E+00
0.62172336E+00
0.56210089E+0
0.73154194E+00
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17
Lampiran 5. Output From The Program Frontier (Version 4.1c) The Model Is A Cost
Function
instruction file = terminal
data file =
p.txt
Error Components Frontier (see B&C 1992)
The model is a cost function
The dependent variable is logged
the ols estimates are :
coefficient
beta 0
0.18972330E+02
beta 1
-0.61146476E-08
sigma-squared 0.39123921E+00
log likelihood function =
standard-error
t-ratio
0.17613815E+00 0.10771278E+03
0.29474753E-08 -0.20745373E+01
-0.38863665E+02
the estimates after the grid search were :
beta 0
0.18861649E+02
beta 1
-0.61146476E-08
sigma-squared 0.38485922E+00
gamma
0.50000000E-01
mu is restricted to be zero
eta is restricted to be zero
iteration =
0 func evals =
20 llf = -0.38872841E+02
0.18861649E+02-0.61146476E-08 0.38485922E+00 0.50000000E-01
gradient step
iteration =
1 func evals =
26 llf = -0.38872841E+02
0.18861649E+02-0.61156377E-08 0.38485922E+00 0.50000000E-01
the final mle estimates are :
coefficient
beta 0
0.18861649E+02
beta 1
-0.61156377E-08
sigma-squared 0.38485922E+00
gamma
0.50000000E-01
standard-error
t-ratio
0.10000000E+01 0.18861649E+02
0.10000000E+01 -0.61156377E-08
0.10000000E+01 0.38485922E+00
0.10000000E+01 0.50000000E-01
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18
mu is restricted to be zero
eta is restricted to be zero
log likelihood function =
-0.38872841E+02
the likelihood value is less than that obtained
using ols! - try again using different starting values
number of iterations =
1
(maximum number of iterations set at :
number of cross-sections =
number of time periods =
42
1
total number of observations =
thus there are:
0
100)
42
obsns not in the panel
covariance matrix :
0.10000000E+01
0.00000000E+00
0.00000000E+00
0.00000000E+00
0.00000000E+00
0.10000000E+01
0.00000000E+00
0.00000000E+00
0.00000000E+00
0.00000000E+00
0.10000000E+01
0.00000000E+00
0.00000000E+00
0.00000000E+00
0.00000000E+00
0.10000000E+01
cost efficiency estimates :
firm
1
2
3
4
5
6
7
8
9
10
11
12
13
14
eff.-est.
0.11286519E+01
0.11287030E+01
0.11019979E+01
0.11064375E+01
0.11064375E+01
0.10945073E+01
0.11269195E+01
0.11335018E+01
0.11286621E+01
0.11259703E+01
0.11471959E+01
0.11211032E+01
0.11014676E+01
0.10932421E+01
Universitas Sumatera Utara
19
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
mean efficiency =
0.11054834E+01
0.11217136E+01
0.11242728E+01
0.11229408E+01
0.11295573E+01
0.11336614E+01
0.11323421E+01
0.11295632E+01
0.11208099E+01
0.11229045E+01
0.11522344E+01
0.11312078E+01
0.11254267E+01
0.11333093E+01
0.11328819E+01
0.11097262E+01
0.11301772E+01
0.11022560E+01
0.11097517E+01
0.11123831E+01
0.11213057E+01
0.11118692E+01
0.11096966E+01
0.11119258E+01
0.11339317E+01
0.11233786E+01
0.11218877E+01
0.11223457E+01
0.11210415E+01
Universitas Sumatera Utara
20
Lampiran
Hasil Analisis Regresi Linear Berganda “Faktor-Faktor yang
Mempengaruhi Penggunaaan Pupuk Kimia pada Usahatani Cabai
Merah dengan Software spss 17
6.
Descriptive Statistics
Mean
Std. Deviation
N
DOSIS PUPUK
7,2345
,34916
42
HARGA PUPUK
15,8816
,42124
42
HARGA CABAI MERAH
9,5906
,35028
42
PENGALAMAN BERTANI
3,0669
,30189
42
Variables Entered/Removed
Model
1
b
Variables
Removed
Variables Entered
PENGALAMAN BERTANI, HARGA
PUPUK, HARGA CABAI MERAHa
Method
.
Enter
dime
nsion
0
a. All requested variables entered.
b. Dependent Variable: DOSIS PUPUK
Model Summary
b
Model
1
dime
nsion
0
R
,914a
R Square
,836
Adjusted R
Square
,823
Std. Error of the
Estimate
,14708
a. Predictors: (Constant), PENGALAMAN BERTANI, HARGA PUPUK, HARGA CABAI MERAH
b. Dependent Variable: DOSIS PUPUK
b
ANOVA
Model
1
Sum of Squares
Regression
Residual
Total
df
Mean Square
4,176
3
1,392
,822
38
,022
4,998
41
F
64,348
Sig.
a
,000
a. Predictors: (Constant), PENGALAMAN BERTANI, HARGA PUPUK, HARGA CABAI MERAH
b. Dependent Variable: DOSIS PUPUK
Universitas Sumatera Utara
21
Coefficientsa
Model
1
(Constant)
Unstandardized
Coefficients
B
Std. Error
-6,085
1,272
HARGA
,778
,057
PUPUK
HARGA
,123
,069
CABAI
MERAH
PENGALAMA -,073
,077
N BERTANI
a. Dependent Variable: DOSIS PUPUK
Standardized
Coefficients
Beta
Correlations
Zero-order
Partial
Part
Collinearity Statistics
Tolerance
VIF
t
-4,785
Sig.
,000
,939
13,662
,000
,905
,912
,899
,916
1,092
,124
1,785
,082
-,156
,278
,117
,902
1,109
-,063
-,952
,347
-,077
-,153
-,063
,983
1,017
Universitas Sumatera Utara
22
Lampiran 7. Hasil Uji Asumsi Klasik dengan Software spss 17
Uji Multikolinearitas, Tolerance > 0, 100, VIF < 10
O
a
Coefficients
Correlations
Zero-order
Partial
Collinearity Statistics
Part
Tolerance
VIF
,905
,912
,899
,916
1,092
-,156
,278
,117
,902
1,109
-,077
-,153
-,063
,983
1,017
a. Dependent Variable: DOSIS PUPUK
Uji Heterokedastisitas, Titik Tidak Membentuk Pola dan Berpencar
O
Universitas Sumatera Utara
23
Uji Normalitas (Sig > 0,05)
O
One-Sample Kolmogorov-Smirnov Test
HARGA CABAI
DOSIS PUPUK
N
MERAH
PENGALAMAN
HARGA PUPUK
BERTANI
42
42
42
42
Mean
7,2345
9,5906
15,8816
3,0669
Std. Deviation
,34916
,35028
,42124
,30189
Absolute
,135
,195
,129
,141
Positive
,105
,195
,099
,141
Negative
-,135
-,139
-,129
-,121
Kolmogorov-Smirnov Z
,877
1,261
,836
,911
Asymp. Sig. (2-tailed)
,425
,083
,487
,377
Normal Parameters
a,b
Most Extreme Differences
a. Test distribution is Normal.
b. Calculated from data.
Universitas Sumatera Utara
LAMPIRAN
Universitas Sumatera Utara
4
Lampiran 1. Karakteristik Sampel
Jenis
No Nama Petani
Kelamin
(Lk/Pr)
Lk
1 Berman Purba
Lk
2 Jhon Hendra
Purba
Lk
3 Rido Purba
Lk
4 Alpiansus
Purba
Lk
5 Muda Setia
Saragih
Lk
6 Jopendry
Purba
Lk
7 Romy Siboro
Rijalsen
Purba
Lk
8
Lk
9 Iwan Hariadi
Lk
10 Hotben Purba
Lk
11 Rahmat Purba
Lk
12 Khondison L
Lk
13 Maris Malau
Lk
14 Radison
Saragih
Lk
15 Gusman
Saragih
Lk
16 Kuriaman
Saragih
Lk
17 Derihamson
Usia
(Tahun)
Pendidikan
45
29
SMA
SMA
Pengalaman
Bertani (Tahun)
15
7
41
39
SMA
SMA
17
19
38
SMA
20
38
SMA
16
40
40
41
36
39
39
48
38
SMA
SMA
SMA
SMA
SMA
SMA
SMA
SMA
22
17
23
15
16
21
29
20
38
SMA
16
65
SMA
40
Luas
Panen
(Ha)
1,14
0,568
0,568
Penerimaan Per
Periode Tanam
(Rp)
240.000.000
120.000.000
40.000.000
60.000.000
0,568
60.000.000
0,568
40.000.000
1,14
1
1
0,712
0,756
0,568
0,68
0,828
140.000.000
175.000.000
150.000.000
132.500.000
100.000.000
144.000.000
174.000.000
150.000.000
0,856
80.000.000
0,568
42
SMA
23
120.000.000
0,568
0,64
148.500.000
Universitas Sumatera Utara
5
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
Saragih
Firdolin
Sinaga
Pasto Sejabat
Kristianus
Lingga
Loncer
Nainggolan
Ruslim Purba
Pardiaman
Purba
Dondry
Sinaga
Lady Purba
Jokerman
Saragih
Jhon Merei
Saragih
Fransiskus
Purba
Jhon Edwad
Purba
Jonner
Sipayung
Bahner
Sipayung
Kasiasmer
Sipayung
Lk
45
SMA
18
Lk
Lk
47
44
SMA
SMA
25
20
Lk
43
SMA
25
Lk
Lk
45
35
SMA
SMA
23
20
150.000.000
0,712
1
210.000.000
280.000.000
1,14
480.000.000
2,132
2,856
600.000.000
240.000.000
1,14
Lk
Lk
Lk
42
44
42
SMA
Sarjana
SMA
21
22
20
216.000.000
1,028
2,856
600.000.000
150.000.000
0,856
Lk
39
SMA
17
300.000.000
1,428
Lk
46
Sarjana
22
600.000.000
2,856
Lk
42
SMA
24
300.000.000
1,428
Lk
41
SMA
19
104.000.000
0,74
Lk
43
SMA
22
Lk
43
SMA
20
375.000.000
2,14
100.000.000
0,712
Universitas Sumatera Utara
6
33
34
35
36
37
38
39
40
41
42
Relinson
Sipayung
Arlensius
Sipayung
Saurman
Purba
Archimedes
Sinaga
Ramli Sinaga
Halimah
Saragih
Untung
Sipayung
Jan Suardi
Purba
Hendri
Kisinger
Tonni Sinaga
Lk
46
SMA
25
80.000.000
0,568
Lk
46
SMA
23
102.500.000
0,584
Lk
58
SMA
40
Lk
46
SMA
28
Lk
Pr
46
43
SMA
SMA
28
25
86.000.000
0,612
120.000.000
0,856
2,14
300.000.000
80.000.000
0,568
Lk
54
SMA
36
250.000.000
1,428
Lk
42
SMA
24
Lk
39
SMA
21
Lk
55
SMA
37
375.000.000
2,132
100.000.000
0,568
0,568
80.000.000
Universitas Sumatera Utara
7
Lampiran 2. Jumlah Dosis, Produksi, Harga Jual Cabai Merah, dan Penerimaan Petani Cabai Merah/Ha/Periode Tanam
JUMLAH PUPUK KIMIA (Kg)
NO
1
2
3
4
5
6
7
8
9
10
NAMA
PETANI
Berman
Purba
Jhon
Hendra
Purba
Rido
Purba
Alpiansus
Purba
Muda
Setia
Saragih
Jopendry
Purba
Romy
Siboro
Rijalsen
Purba
Iwan
Hariadi
Hotben
Purba
BIAYA
PUPUK (Rp)
JUMLAH
PRODUKSI
CABAI MERAH
PER PERIODE
TANAM (Kg)
HARGA
JUAL
CABAI
MERAH/Kg
(Rp)
PENERIMAAN
PETANI
TSP
KCL
KOMPL
EKS
(NPK)
850
255
255
340
1.700
9.265.000
21.052,63
15.000
315.789.450
1000
100
600
100
2.000
8.600.000
21.126,76
15.000
316.901.400
420
420
420
560
1.400
12.614.000
7.042,25
10.000
70.422.500
206
412
824
618
2.060
15.388.200
10.563,38
10.000
105.633.800
549
219,6
109
219,6
1.098
5.978.500
10.563,38
10.000
105.633.800
200
100
100
100
500
2.940.000
3.508,77
18.000
63.157.860
500
100
200
200
1.000
5.450.000
14.000
20.000
280.000.000
600
216
264
120
1.200
6.180.000
17.500
25.000
437.500.000
400
400
600
600
2.000
14.080.000
21.067,42
15.000
316.011.300
200
200
800
800
2.000
15.540.000
17.460,32
15.000
261.904.800
ZA
TOTAL
Universitas Sumatera Utara
8
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
Rahmat
Purba
800
Khondiso
2100
n Lingga
Maris
Malau
350
Radison
Saragih
325
Gusman
Saragih
460
Kuriaman
Saragih
990
Derihams
on Saragih 750
Firdolin
Sinaga
850
Pasto
Sejabat
660
Kristianus
Lingga
800
Loncer N
936
Ruslim
Purba
1200
Pardiaman
Purba
615
Dondry
Sinaga
750
Lady
800
320
400
80
1.600
8.000.000
21.605,63
25.000
540.140.750
150
450
300
3.000
12.870.000
24.176,47
10.000
241.764.700
140
105
105
700
3.710.000
8.014,49
10.000
80.144.900
65
97,5
162,5
650
3.640.000
5.523,36
10.000
55.233.600
46
184
230
920
5.152.000
8.084,51
12.000
97.014.120
180
270
360
1.800
9.423.000
21.126,76
18.000
380.281.680
300
270
180
1.500
7.815.000
23.203,13
10.000
232.031.300
340
323
187
1.700
8.806.000
21.067,42
10.000
210.674.200
264
237,6
158,4
1.320
6.877.200
21.000
16.000
336.000.000
320
324
320
450
160
90
1.600
1.800
8.240.000
8.845.200
24.561,40
22.514,07
18.000
18.000
442.105.200
405.253.260
100
400
300
2.000
9.740.000
21.008,40
16.000
336.134.400
246
246
123
1.230
6.334.500
18.000,00
10.000
180.000.000
300
320
270
320
180
160
1.500
1.600
7.815.000
8.240.000
21.011,67
24.000
10.000
30.000
210.116.700
720.000.000
Universitas Sumatera Utara
9
26
27
28
29
30
31
32
33
34
35
36
37
38
39
Purba
Jokerman
Saragih
Jhon
Saragih
Fransiskus
Purba
Jhon
Edwad
Purba
Jonner
Sipayung
Bahner
Sipayung
Kasiasmer
Sipayung
Relinson
Sipayung
Arlensius
Sipayung
Saurman
Purba
Archimed
es Sinaga
Ramli s
Halimah
Saragih
Untung
480
192
96
615
246
233,7
800
320
700
192
960
5.232.000
12.523,36
30.000
375.700.800
135,3
1.230
6.371.400
18.000,00
14.000
252.000.000
320
160
1.600
8.240.000
24.000
18.000
432.000.000
280
280
140
1.400
7.210.000
21.000,00
20.000
420.000.000
575
172,5
287,5
115
1.150
5.922.500
14.054,05
10.000
140.540.500
600
240
180
180
1.200
6.360.000
17.523,36
20.000
350.467.200
134
502,5
502,5
536
1.675
12.756.800
14.044,94
12.000
168.539.280
146,5
549
640,5
494
1.830
13.662.050
14.084,51
10.000
140.845.100
190
570
760
570
1.900
15.523.000
17.551,37
10.000
175.513.700
595
178,5
297,5
119
1.190
6.128.500
14.052,29
20.000
281.045.800
174,5
180
436,2
540
523,5
450
610,75
630
1.745
1.800
13.296.900
13.716.000
14.018,69
14.018,69
12.000
10.000
168.224.280
140.186.900
86
600
516
240
774
216
344
144
1.720
1.200
12.702.200
6.252.000
14.084,51
15.000
12.000
30.000
169.014.120
450.000.000
Universitas Sumatera Utara
10
40
41
42
Sipayung
Jan Suardi
Purba
Hendri
Kisinger
Tonni
Sinaga
550
220
242
88
1.100
5.599.000
14.500,00
15.000
217.500.000
525
210
189
126
1.050
5.470.500
13.000,00
15.000
195.000.000
450
180
135
135
900
4.770.000
10.084,51
20.000
201.690.200
Universitas Sumatera Utara
11
Lampiran 3. Pendapatan Petani/Ha/Periode Tanam
BIAYA PRODUKSI (Rp)
NO
1
2
3
4
5
6
7
8
9
10
11
12
NAMA
PETANI
Berman
Purba
Jhon
Hendra
Purba
Rido Purba
Alpiansus
Purba
Muda Setia
Saragih
Jopendry
Purba
Romy
Siboro
Rijalsen
Purba
Iwan
Hariadi
Hotben
Purba
Rahmat
Khondison
TOTAL
BIAYA
PRODUKSI
(Rp)
PENERIMAAN
(Rp)
PENDAPATAN
(Rp)
PUPUK
KIMIA
KOMPOS
PESTISIDA
MULSA
TENAGA
KERJA
9.265.000
11.200.000
4.000.000
1.100.000
37.000.000
62.565.000
315.789.450
253.224.450
8.600.000
11.000.000
4.500.000
1.100.000
37.000.000
62.200.000
316.901.400
254.701.400
12.614.000
11.200.000
5.000.000
1.100.000
37.000.000
66.914.000
70.422.500
35.085.000
15.388.200
11.200.000
4.200.000
1.100.000
37.000.000
68.888.200
105.633.800
36.745.600
5.978.500
11.200.000
4.000.000
1.100.000
37.000.000
59.278.500
105.633.800
46.355.300
2.940.000
11.200.000
4.000.000
1.100.000
37.000.000
56.240.000
63.157.860
69.178.600
5.450.000
11.200.000
4.000.000
1.100.000
37.000.000
58.750.000
280.000.000
221.250.000
6.180.000
11.200.000
4.000.000
1.100.000
37.000.000
59.480.000
437.500.000
378.020.000
14.080.000
11.000.000
4.000.000
1.100.000
37.000.000
67.180.000
316.011.300
248.831.300
15.540.000
11.200.000
4.000.000
1.100.000
37.000.000
68.840.000
261.904.800
193.064.800
8.000.000
12.870.000
11.200.000
11.000.000
4.000.000
4.000.000
1.100.000
1.100.000
37.000.000
37.000.000
61.300.000
65.970.000
540.140.750
241.764.700
478.840.750
175.794.700
Universitas Sumatera Utara
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
Maris
Malau
Radison S
Gusman
Saragih
Kuriaman
Saragih
Derihamso
n Saragih
Firdolin
Sinaga
Pasto
Sejabat
Kristianus
Lingga
Loncer N
Ruslim
Purba
Pardiaman
Purba
Dondry
Sinaga
Lady Purba
Jokerman
Saragih
Jhon
Saragih
Fransiskus
3.710.000
11.200.000
4.000.000
1.100.000
37.000.000
57.010.000
80.144.900
23.134.900
3.640.000
8.200.000
4.000.000
1.100.000
30.000.000
56.940.000
55.233.600
8.706.400
5.152.000
11.200.000
4.000.000
1.100.000
37.000.000
58.452.000
97.014.120
38.562.120
9.423.000
11.200.000
4.000.000
1.100.000
37.000.000
62.723.000
380.281.680
317.558.680
7.815.000
11.200.000
4.000.000
1.100.000
37.000.000
61.115.000
232.031.300
170.916.300
8.806.000
11.200.000
4.000.000
1.100.000
37.000.000
62.106.000
210.674.200
148.568.200
6.877.200
11.200.000
4.000.000
1.100.000
37.000.000
60.177.200
336.000.000
275.822.800
8.240.000
11.200.000
4.800.000
1.100.000
37.000.000
62.340.000
442.105.200
379.765.200
8.845.200
11.200.000
4.000.000
1.100.000
37.000.000
62.145.200
405.253.260
343.108.060
9.740.000
11.200.000
4.000.000
1.100.000
37.000.000
63.040.000
336.134.400
273.094.400
6.334.500
11.200.000
4.000.000
1.100.000
37.000.000
59.634.500
180.000.000
120.365.500
7.815.000
10.000.000
4.500.000
1.100.000
37.000.000
60.415.000
210.116.700
149.701.700
8.240.000
11.200.000
4.000.000
1.100.000
37.000.000
61.540.000
720.000.000
658.460.000
5.232.000
11.200.000
3.000.000
1.100.000
37.000.000
57.532.000
375.700.800
318.168.800
6.371.400
11.200.000
3.800.000
1.100.000
37.000.000
53.737.400
252.000.000
198.262.600
8.240.000
11.200.000
4.000.000
1.100.000
37.000.000
61.540.000
432.000.000
370.460.000
Universitas Sumatera Utara
13
29
30
31
32
33
34
35
36
37
38
39
40
41
42
Jhon
Edwad
Purba
Jonner
Sipayung
Bahner S
Kasiasmer
Sipayung
Relinson
Sipayung
Arlensius
Sipayung
Saurman
Purba
Archimedes
Sinaga
Ramli s
Halimah
Saragih
Untung
Sipayung
Jan Suardi
Purba
Hendri
Kisinger
Tonni S
7.210.000
11.200.000
4.000.000
1.100.000
37.000.000
60.510.000
420.000.000
359.490.000
5.922.500
11.200.000
4.000.000
1.100.000
37.000.000
59.222.500
140.540.500
81.318.000
6.360.000
11.200.000
4.000.000
1.100.000
37.000.000
59.660.000
350.467.200
290.807.200
12.756.800
11.200.000
4.000.000
1.100.000
37.000.000
66.056.800
168.539.280
102.482.480
13.662.050
11.200.000
4.000.000
1.100.000
37.000.000
66.962.050
140.845.100
73.883.050
15.523.000
11.200.000
4.000.000
1.100.000
37.000.000
68.823.000
175.513.700
106.690.700
6.128.500
10.200.000
4.500.000
1.100.000
37.000.000
58.928.500
281.045.800
222.117.300
13.296.900
11.200.000
4.000.000
1.100.000
37.000.000
66.596.900
168.224.280
101.627.380
13.716.000
11.200.000
4.000.000
1.100.000
37.000.000
67.016.000
140.186.900
73.170.900
12.702.200
11.200.000
4.000.000
1.100.000
37.000.000
66.002.200
169.014.120
103.011.920
6.252.000
10.800.000
4.000.000
1.100.000
37.000.000
59.152.000
450.000.000
390.848.000
5.599.000
11.000.000
6.000.000
1.100.000
37.000.000
60.699.000
217.500.000
156.801.000
5.470.500
11.000.000
4.000.000
1.100.000
37.000.000
58.570.500
195.000.000
136.429.500
4.770.000
11.100.000
4.000.000
1.100.000
37.000.000
57.970.000
201.690.200
143.720.200
Universitas Sumatera Utara
14
Lampiran 4. Output From The Program Frontier (Version 4.1c) The Model Is A Production
Function
Output from the program FRONTIER (Version 4.1c)
instruction file = terminal
data file =
t.txt
Error Components Frontier (see B&C 1992)
The model is a production function
The dependent variable is logge
the ols estimates are
coefficient
standard-error
t-ratio
beta 0
0.71147115E+01 0.85507408E-01 0.83205791E+02
beta 1
-0.92692179E-09 0.21230831E-09 -0.43659234E+01
sigma-squared 0.13263067E+00
log likelihood function = -0.16146898E+02
the estimates after the grid search were
beta 0
0.74722082E+01
beta 1
-0.92692179E-09
sigma-squared 0.25411880E+00
gamma
0.79000000E+00
mu is restricted to be zero
eta is restricted to be zero
iteration =
0 func evals =
0.74722082E+01-0.92692179E-09
gradient step
iteration =
5 func evals =
0.74421855E+01-0.85251284E-09
iteration =
10 func evals =
0.74398759E+01-0.85203884E-09
iteration =
15 func evals =
0.74388399E+01-0.85235211E-09
iteration =
20 func evals =
0.74395002E+01-0.85622160E-09
iteration =
25 func evals =
0.74403335E+01-0.85868627E-09
the final mle estimates are :
coefficient
beta 0
0.74403335E+01
beta 1
-0.85868627E-09
sigma-squared 0.24658939E+00
gamma
0.79191639E+00
mu is restricted to be zero
eta is restricted to be zero
20 llf = -0.14821484E+02
0.25411880E+00 0.79000000E+00
71 llf = -0.14755489E+02
0.25058385E+00 0.79644595E+00
93 llf = -0.14754699E+02
0.24893724E+00 0.79429505E+00
114 llf = -0.14754276E+02
0.24710308E+00 0.79293564E+00
135 llf = -0.14754010E+02
0.24688309E+00 0.79310346E+00
167 llf = -0.14753870E+02
0.24658939E+00 0.79191639E+00
standard-error
t-ratio
0.10049420E+00 0.74037444E+02
0.22346410E-09 -0.38426140E+01
0.79415912E-01 0.31050375E+01
0.13607731E+00 0.58196063E+01
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15
log likelihood function = -0.14753870E+02
LR test of the one-sided error =
0.27860562E+01
with number of restrictions = 1
[note that this statistic has a mixed chi-square
number of iterations =
25
(maximum number of iterations set at :
100)
number of cross-sections =
42
number of time periods =
1
total number of observations =
42
thus there are:
0 obsns not in the panel
covariance matrix
0.10099084E-01 -0.12659585E-10 0.42158637E-02
-0.12659585E-10 0.49936203E-19 0.22212009E-11
0.42158637E-02 0.22212009E-11 0.63068870E-02
0.64609215E-02 0.63923611E-11 0.78368884E-02
distribution]
0.64609215E-02
0.63923611E-11
0.78368884E-02
0.18517035E-
technical efficiency estimates :
firm
eff.-est.
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
0.72070919E+00
0.72678764E+00
0.78973652E+00
0.87861586E+00
0.70448486E+00
0.37742925E+00
0.60250745E+00
0.73781540E+00
0.72678764E+00
0.72678764E+00
0.82708662E+00
0.93385890E+00
0.47442314E+00
0.45113185E+00
0.34498697E+00
0.85399439E+00
0.80996270E+00
0.72070919E+00
0.77095544E+00
0.82708662E+00
0.85399439E+00
0.72678764E+00
0.74669564E+00
0.80996270E+00
0.82708662E+00
0.58664678E+00
0.74669564E+00
Universitas Sumatera Utara
16
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
mean efficiency =
0.82708662E+00
0.78973652E+00
0.72209101E+00
0.73781540E+00
0.83820133E+00
0.85734631E+00
0.86459667E+00
0.73476372E+00
0.84742835E+00
0.85399439E+00
0.72114887E+00
0.73781540E+00
0.70518587E+00
0.62172336E+00
0.56210089E+0
0.73154194E+00
Universitas Sumatera Utara
17
Lampiran 5. Output From The Program Frontier (Version 4.1c) The Model Is A Cost
Function
instruction file = terminal
data file =
p.txt
Error Components Frontier (see B&C 1992)
The model is a cost function
The dependent variable is logged
the ols estimates are :
coefficient
beta 0
0.18972330E+02
beta 1
-0.61146476E-08
sigma-squared 0.39123921E+00
log likelihood function =
standard-error
t-ratio
0.17613815E+00 0.10771278E+03
0.29474753E-08 -0.20745373E+01
-0.38863665E+02
the estimates after the grid search were :
beta 0
0.18861649E+02
beta 1
-0.61146476E-08
sigma-squared 0.38485922E+00
gamma
0.50000000E-01
mu is restricted to be zero
eta is restricted to be zero
iteration =
0 func evals =
20 llf = -0.38872841E+02
0.18861649E+02-0.61146476E-08 0.38485922E+00 0.50000000E-01
gradient step
iteration =
1 func evals =
26 llf = -0.38872841E+02
0.18861649E+02-0.61156377E-08 0.38485922E+00 0.50000000E-01
the final mle estimates are :
coefficient
beta 0
0.18861649E+02
beta 1
-0.61156377E-08
sigma-squared 0.38485922E+00
gamma
0.50000000E-01
standard-error
t-ratio
0.10000000E+01 0.18861649E+02
0.10000000E+01 -0.61156377E-08
0.10000000E+01 0.38485922E+00
0.10000000E+01 0.50000000E-01
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mu is restricted to be zero
eta is restricted to be zero
log likelihood function =
-0.38872841E+02
the likelihood value is less than that obtained
using ols! - try again using different starting values
number of iterations =
1
(maximum number of iterations set at :
number of cross-sections =
number of time periods =
42
1
total number of observations =
thus there are:
0
100)
42
obsns not in the panel
covariance matrix :
0.10000000E+01
0.00000000E+00
0.00000000E+00
0.00000000E+00
0.00000000E+00
0.10000000E+01
0.00000000E+00
0.00000000E+00
0.00000000E+00
0.00000000E+00
0.10000000E+01
0.00000000E+00
0.00000000E+00
0.00000000E+00
0.00000000E+00
0.10000000E+01
cost efficiency estimates :
firm
1
2
3
4
5
6
7
8
9
10
11
12
13
14
eff.-est.
0.11286519E+01
0.11287030E+01
0.11019979E+01
0.11064375E+01
0.11064375E+01
0.10945073E+01
0.11269195E+01
0.11335018E+01
0.11286621E+01
0.11259703E+01
0.11471959E+01
0.11211032E+01
0.11014676E+01
0.10932421E+01
Universitas Sumatera Utara
19
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
mean efficiency =
0.11054834E+01
0.11217136E+01
0.11242728E+01
0.11229408E+01
0.11295573E+01
0.11336614E+01
0.11323421E+01
0.11295632E+01
0.11208099E+01
0.11229045E+01
0.11522344E+01
0.11312078E+01
0.11254267E+01
0.11333093E+01
0.11328819E+01
0.11097262E+01
0.11301772E+01
0.11022560E+01
0.11097517E+01
0.11123831E+01
0.11213057E+01
0.11118692E+01
0.11096966E+01
0.11119258E+01
0.11339317E+01
0.11233786E+01
0.11218877E+01
0.11223457E+01
0.11210415E+01
Universitas Sumatera Utara
20
Lampiran
Hasil Analisis Regresi Linear Berganda “Faktor-Faktor yang
Mempengaruhi Penggunaaan Pupuk Kimia pada Usahatani Cabai
Merah dengan Software spss 17
6.
Descriptive Statistics
Mean
Std. Deviation
N
DOSIS PUPUK
7,2345
,34916
42
HARGA PUPUK
15,8816
,42124
42
HARGA CABAI MERAH
9,5906
,35028
42
PENGALAMAN BERTANI
3,0669
,30189
42
Variables Entered/Removed
Model
1
b
Variables
Removed
Variables Entered
PENGALAMAN BERTANI, HARGA
PUPUK, HARGA CABAI MERAHa
Method
.
Enter
dime
nsion
0
a. All requested variables entered.
b. Dependent Variable: DOSIS PUPUK
Model Summary
b
Model
1
dime
nsion
0
R
,914a
R Square
,836
Adjusted R
Square
,823
Std. Error of the
Estimate
,14708
a. Predictors: (Constant), PENGALAMAN BERTANI, HARGA PUPUK, HARGA CABAI MERAH
b. Dependent Variable: DOSIS PUPUK
b
ANOVA
Model
1
Sum of Squares
Regression
Residual
Total
df
Mean Square
4,176
3
1,392
,822
38
,022
4,998
41
F
64,348
Sig.
a
,000
a. Predictors: (Constant), PENGALAMAN BERTANI, HARGA PUPUK, HARGA CABAI MERAH
b. Dependent Variable: DOSIS PUPUK
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21
Coefficientsa
Model
1
(Constant)
Unstandardized
Coefficients
B
Std. Error
-6,085
1,272
HARGA
,778
,057
PUPUK
HARGA
,123
,069
CABAI
MERAH
PENGALAMA -,073
,077
N BERTANI
a. Dependent Variable: DOSIS PUPUK
Standardized
Coefficients
Beta
Correlations
Zero-order
Partial
Part
Collinearity Statistics
Tolerance
VIF
t
-4,785
Sig.
,000
,939
13,662
,000
,905
,912
,899
,916
1,092
,124
1,785
,082
-,156
,278
,117
,902
1,109
-,063
-,952
,347
-,077
-,153
-,063
,983
1,017
Universitas Sumatera Utara
22
Lampiran 7. Hasil Uji Asumsi Klasik dengan Software spss 17
Uji Multikolinearitas, Tolerance > 0, 100, VIF < 10
O
a
Coefficients
Correlations
Zero-order
Partial
Collinearity Statistics
Part
Tolerance
VIF
,905
,912
,899
,916
1,092
-,156
,278
,117
,902
1,109
-,077
-,153
-,063
,983
1,017
a. Dependent Variable: DOSIS PUPUK
Uji Heterokedastisitas, Titik Tidak Membentuk Pola dan Berpencar
O
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23
Uji Normalitas (Sig > 0,05)
O
One-Sample Kolmogorov-Smirnov Test
HARGA CABAI
DOSIS PUPUK
N
MERAH
PENGALAMAN
HARGA PUPUK
BERTANI
42
42
42
42
Mean
7,2345
9,5906
15,8816
3,0669
Std. Deviation
,34916
,35028
,42124
,30189
Absolute
,135
,195
,129
,141
Positive
,105
,195
,099
,141
Negative
-,135
-,139
-,129
-,121
Kolmogorov-Smirnov Z
,877
1,261
,836
,911
Asymp. Sig. (2-tailed)
,425
,083
,487
,377
Normal Parameters
a,b
Most Extreme Differences
a. Test distribution is Normal.
b. Calculated from data.
Universitas Sumatera Utara