Lampiran 1: Karakteristik Sampel NO Umur (Tahun) Pendidikan (Tahun) Lama Berusaha Tani (Tahun)
LAMPIRAN
6
22
24
12 16 0,5 3 18.146.700 51,4
51
23
6 20 0,8 4 30.799.600 49,8
51
9 17 0,65 3 24.763.800 50,8
12 10 0,3 3 1.478.100 48,3
53
21
12 17 0,7 2 27.337.500 51,7
54
20
9 16 0,5 1 15.093.500 50,9
53
40
25
12 4 0,25 422.400 48,3
55
49
30
6 22 0,9 3 38.993.000 49,9
57
29
12 21 0,75 2 23.380.500 51,3
28
46
12 16 0,8 3 31.797.000 52,4
48
27
9 10 0,35 1 5.602.400 49,3
40
26
9 15 0,4 3 16.268.000 51,4
19
32
40
50
50
11
12 16 0,8 3 30.744.600 51,9
48
10
9 14 0,42 2 17.718.400 50,8
9
12
9 15 0,7 2 17.217.000 51,7
54
8
6 2 0,3 1 4.062.400 48,7
29
7
12 13 0,6 2 17.352.400 50,6
9 14 0,4 1 9.438.500 51,1
47
18
12 21 0,8 2 29.415.000 52,4
9 3 0,3 1 5.561.700 48,6
30
17
12 18 0,45 2 17.179.800 51,4
47
16
53
12 17 0,65 2 25.326.800 51,9
15
9 14 0,3 1 8.052.400 50,8
56
14
9 22 0,6 2 25.766.400 51,4
56
13
12 20 0,4 3 14.564.700 50,8 JUM LAH 1366 313 410 16,44 63 565.640.500 1502,2 Rata- rata 45,53 10,4 13,6 0,548 2,1 18854683,33 50,07
8 17,405 16,609 34,014 1.156,929 9,667 56,3377 0,171584 1,715843 51,71584 POSITIF 9 14,288 15,056 29,344 861,061 4,997 56,3377 0,088694 0,886944 50,88694 POSITIF 10 17,405 18,204 35,609 1.268,032 11,262 56,3377 0,199909 1,999094 51,99909 POSITIF 11 14,531 15,525 30,056 903,351 5,709 56,3377 0,101332 1,013317 51,01332 POSITIF 12 17,405 18,204 35,609 1.268,032 11,262 56,3377 0,199909 1,999094 51,99909 POSITIF 13 15,795 16,607 32,402 1.049,914 8,055 56,3377 0,142984 1,429838 51,42984 POSITIF
14 12,518 16,583 29,101 846,874 4,754 56,3377 0,084386 0,843857 50,84386 POSITIF 15 18,675 19,537 38,212 1.460,149 13,865 56,3377 0,246103 2,461032 52,46103 POSITIF 16 15,795 16,607 32,402 1.049,914 8,055 56,3377 0,142984 1,429838 51,42984 POSITIF 17 7,836 8,730 16,567 274,463 -7,780 56,3377 -0,1381 -1,38097 48,61903 NEGATIF
18 7,000 7,836 14,836 220,120 -9,511 56,3377 -0,16881 -1,68813 48,31187 NEGATIF 19 14,627 15,321 29,948 896,909 5,601 56,3377 0,099426 0,994261 50,99426 POSITIF 20 15,795 18,204 34,000 1.155,978 9,653 56,3377 0,171336 1,71336 51,71336 POSITIF 21 14,288 15,056 29,344 861,061 4,997 56,3377 0,088694 0,886944 50,88694 POSITIF 22 18,675 19,537 38,212 1.460,149 13,865 56,3377 0,246103 2,461032 49,86103 NEGATIF 23 15,795 16,607 32,402 1.049,914 8,055 56,3377 0,142984 1,429838 51,42984 POSITIF 24 7,000 8,021 15,021 225,628 -9,326 56,3377 -0,16554 -1,65539 48,34461 NEGATIF 25 15,795 16,607 32,402 1.049,914 8,055 56,3377 0,142984 1,429838 51,42984 POSITIF 26 9,057 11,759 20,816 433,295 -3,531 56,3377 -0,06268 -0,6268 49,3732 NEGATIF 27 18,675 19,537 38,212 1.460,149 13,865 56,3377 0,246103 2,461032 52,46103 POSITIF 28 15,468 16,344 31,812 1.011,989 7,465 56,3377 0,1325 1,325005 51,325 POSITIF 29 18,675 19,537 38,212 1.460,149 13,865 56,3377 0,246103 2,461032 49,9657 NEGATIF 30 14,198 15,011 29,209 853,184 4,862 56,3377 0,086307 0,863066 50,86307 POSITIF total 832 837 883,754 27.667,834
X 29,458 Xi² 781.021,2
S
2
=
n ∑ X i
2 − ( ∑ X i
)
2 n(n −1)
Keterangan : T = skor standar, S=deviasi standar X=skor tingkat adopsi responden
X = rata-rata skor tingkat adopsi T
Lampiran 2 lanjutan:Jawaban Responden Terhadap Peryataan Tingkat Adopsi
NO POSITIF19 SS S S RR S RR SS STS TS TS RR TS RR STS
11 SS S RR RR S S SS TS TS RR RR STS TS STS
12 SS S S S SS RR SS STS TS TS TS STS RR STS
13 SS S S S SS RR S STS TS TS TS STS RR TS
14 S S S S S RR S STS TS RR TS TS TS STS
15 SS S S S SS S SS STS TS TS TS STS TS STS
16 SS S S S SS RR S STS TS TS TS STS RR TS
17 S S RR TS S TS S TS TS RR S TS S TS
18 S S TS TS S TS S TS TS S S TS S TS
20 SS S S S SS RR S STS TS TS TS STS RR STS
9 SS S S RR S S S STS TS TS RR TS TS TS
21 SS S S RR S S S STS TS TS RR TS TS TS
22 SS S S S SS S SS STS TS TS TS STS TS STS
23 SS S S S SS RR S STS TS TS TS STS RR TS
24 S S TS TS S TS S RR TS S RR TS S TS
25 SS S S S SS RR S STS TS TS TS STS RR TS
26 S S RR TS S RR S RR TS RR RR STS RR TS
27 SS S S S SS S SS STS TS TS TS STS TS STS
28 SS S S S S S S STS TS TS TS TS TS TS
29 SS S S S SS S SS STS TS TS TS STS TS STS
10 SS S S S SS RR SS STS TS TS TS STS RR STS
8 SS S S S SS RR SS STS TS TS TS TS RR STS
NEGATIF
3
1
2
3
4
5
6
7
1
2
4
7 S S TS TS S TS S TS TS S S TS TS TS
5
6
7
1 SS S S S SS S SS STS TS TS TS STS TS STS
2 S S RR TS S TS S RR TS RR S TS TS TS
3 SS S S RR S RR SS STS TS TS RR TS RR STS
4 S S RR RR S TS S TS TS RR RR TS S TS
5 SS S S S SS RR SS STS TS TS TS STS RR STS
6 SS S S RR S S S STS TS TS RR TS RR TS
30 SS S S S S RR S STS TS TS TS TS RR TS pernyataan positif pernyataan negatf
1
4
4
4
5
5
3
5
4
4
4
5
3
4
5
4
4
4
5
5
3
4
3
4
4
3
4
5
4
4
5
5
4
5
4
4
4
5
5
5
4
4
4
4
5
4
4
4
3
4
4
5
5
3
4
4
4
2
3
4
4
4
3
5
4
4
5
4
4
3
5
4
4
4
5
5
4
5
4
2
4
4
4
3
4
4
5
4
2
4
2
2
4
4
4
2
4
2
2
4
4
4
2
4
2
3
4
5
4
4
4
4
4
4
4
4
5
4
4
4
4
4
4
5
5
4
5
4
4
4
5
5
4
5
4
4
4
3
4
4
4
4
5
4
3
4
4
4
4
5
5
4
5
4
4
4
5
5
4
5
5
4
3
4
5
4
2
4
3
2
4
3
4
2
2
4
2
4
4
4
3
5
4
4
4
5
4
4
4
4
2
5
4
3
5
3
3
4
3
4
3
4
3
5
4
4
4
3
5
4
4
4
5
4
3
4
5
2
4
4
4
5
5
3
5
4
4
4
5
2
5
4
3
3
4
4
4
2
4
3
3
4
4
3
5
3
4
4
4
2
4
2
2
4
4
4
4
5
3
4
4
5
4
4
4
3
4
4
5
4
3
2
5
4
4
4
5
5
4
5
4
4
4
7
4
6
5
4
3
2
1
7
6
5
4
3
5
5
4
4
3
4
4
5
5
3
4
3
4
4
5
4
4
4
2
3
4
3
4
2
4
2
3
4
2
4
5
4
4
3
5
4
4
4
5
5
3
5
4
4
4
5
5
3
5
4
4
4
5
5
4
5
4
3
3
4
5
4
4
4
5
5
4
4
4
4
4
5
4
3
4
4
4
4
4
4
3
5
5
3
4
4
5
4
4
4
3
4
4
5
5
3
4
4
4
4
5
5
3
5
4
4
4
5
4
4
3
4
4
4
5
4
4
3
3
4
5
5
3
5
4
4
4
5
5
3
5
4
4
4
5
4
4
4
Lampiran 3: Analisis Usahatani Kentang a:Biaya bibit Jumlah Harga/Kg Total
1000 9000 9000000 880 9000 7920000 500 9000 4500000 810 9000 7290000 300 9000 2700000 750 9000 6750000 250 9000 2250000 580 9000 5220000 630 9000 5670000 700 9000 6300000 350 9000 3150000 750 9000 6750000 850 9000 7650000 310 9000 2790000 400 9000 3600000 800 9000 7200000 500 9000 4500000 250 9000 2250000 600 9000 5400000 780 9000 7020000 700 9000 6300000 600 9000 5400000 450 9000 4050000 350 9000 3150000 400 9000 3600000 300 9000 2700000 600 9000 5400000 N o luas lahan
BIAYA PUPUK organik urea harga Jumlah dolo mit har ga jumlah TSP harga Jumlah
KC L Harga jumlah amo pos harga jumlah paten kali butir Harga Jumlah
1 1 10000 250 3800 950000 1000 400 400000 200 2400 480000 100 2600 260000 300 8000 2400000 140 1240 173600 2 0,32 3200 100 3800 380000 320 400 128000 60 2400 144000 32 2600 83200 100 8000 800000 50 1240 62000 3 0,5 5000 150 3800 570000 500 400 200000 100 2400 240000
50 2600 130000 150 8000 1200000 70 1240 86800 4 0,8 8000 200 3800 760000 800 400 320000 160 2400 384000 80 2600 208000 225 8000 1800000 110 1240 136400 5 0,3 3000 100 3800 380000 300 400 120000
60 2400 144000 30 2600 78000 90 8000 720000 40 1240 49600 6 0,75 7000 150 3800 570000 750 400 300000 150 2400 360000 75 2600 195000 225 8000 1800000 100 1240 124000 7 0,3 3000 100 3800 380000 300 400 120000
60 2400 144000 30 2600 78000 90 8000 720000 40 1240 49600 8 0,6 6000 150 3800 570000 600 400 240000 120 2400 288000 60 2600 156000 180 8000 1440000 80 1240 99200 9 0,65 6500 100 3800 380000 650 400 260000 130 2400 312000 65 2600 169000 200 8000 1600000 100 1240 124000 10 0,7 7000 150 3800 570000 700 400 280000 140 2400 336000 70 2600 182000 200 8000 1600000 100 1240 124000 11 0,35 3500 100 3800 380000 350 400 140000
70 2400 168000 35 2600 91000 100 8000 800000 50 1240 62000 12 0,75 7500 200 3800 760000 750 400 300000 150 2400 360000 75 2600 195000 225 8000 1800000 100 1240 124000 13 0,9 9000 200 3800 760000 900 400 360000 180 2400 432000 90 2600 234000 270 8000 2160000 125 1240 155000 14 0,3 3000 100 3800 380000 300 400 120000
60 2400 144000 30 2600 78000 90 8000 720000 40 1240 49600 15 0,4 4000 100 3800 380000 400 400 160000 80 2400 192000 40 2600 104000 125 8000 1000000 55 1240 68200 16 0,8 8000 200 3800 760000 800 400 320000 160 2400 384000
80 2600 208000 250 8000 2000000 110 1240 136400 17 0,5 5000 150 3800 570000 500 400 200000 100 2400 240000 50 2600 130000 150 8000 1200000 70 1240 86800 18 0,25 2500 100 3800 380000 250 400 100000
50 2400 120000 25 2600 65000 75 8000 600000 35 1240 43400 19 0,6 6000 150 3800 570000 600 400 240000 120 2400 288000 60 2600 156000 175 8000 1400000 80 1240 99200 20 0,8 8000 200 3800 760000 800 400 320000 160 2400 384000 80 2600 208000 250 8000 2000000 110 1240 136400 21 0,7 7000 200 3800 760000 700 400 280000 140 2400 336000 70 2600 182000 200 8000 1600000 100 1240 124000 22 0,6 6000 150 3800 570000 600 400 240000 120 2400 288000 60 2600 156000 175 8000 1400000 80 1240 99200 23 0,5 4800 150 3800 570000
500
200000 100 2400 240000
50 2600 130000 150 8000 1200000 70 1240 86800 24 0,36 3600 100 3800 380000 360 400 144000 70 2400 168000 36 2600 93600 100 8000 800000 50 1240 62000 25 0,4 4000 100 3800 380000 400 400 160000 80 2400 192000 40 2600 104000 120 8000 960000 50 1240 62000 26 0,3 3000 100 3800 380000 300 400 120000 60 2400 144000 30 2600 78000 100 8000 800000 40 1240 49600 27 0,6 6000 150 3800 570000 600 400 240000 120 2400 288000
60 2600 156000 180 8000 1440000 80 1240 99200 28 0,9 9000 250 3800 950000 900 400 360000 180 2400 432000 90 2600 234000 275 8000 2200000 125 1240 155000 29 0,42 4200 100 3800 380000 420 400 168000
80 2400 192000 42 2600 109200 125 8000 1000000 60 1240 74400 30 0,62 6200 150 3800 570000 620 400 248000 125 2400 300000 62 2600 161200 175 8000 1400000 85 1240 105400
Biaya Alat
No. Sampel Cangkul Garpu Sprayer20 3 50000 5 30000 2 50000 5 20000 1 320000 5 64000 200 3000 2 300000 414000
2 270000 394000
180 3000
5 64000
1 320000
5 20000
2 50000
5 40000
21 4 50000
19 3 50000 5 30000 1 50000 5 10000 1 320000 5 64000 160 3000 2 240000 344000
23 3 50000 5 30000 3 50000 5 30000 1 320000 5 64000 260 3000 2 390000 514000
18 2 50000 5 20000 1 50000 5 10000 1 320000 5 64000 66 3000 2 99000 193000
2 195000 299000
130 3000
5 64000
1 320000
5 10000
1 50000
5 30000
22 3 50000 5 30000 1 50000 5 10000 1 320000 5 64000 160 3000 2 240000 344000
24 3 50000 5 30000 1 50000 5 10000 1 320000 5 64000 96 3000 2 144000 248000
16 4 50000 5 40000 1 50000 5 10000 1 320000 5 64000 200 3000 2 300000 414000
28 4 50000 5 40000 1 50000 5 10000 1 320000 5 64000 84 3000 2 126000 240000
2 168000 272000
112 3000
5 64000
1 320000
5 10000
1 50000
5 30000
29 3 50000
27 4 50000 5 40000 1 50000 5 10000 1 320000 5 64000 160 3000 2 240000 354000
25 3 50000
26 3 50000 5 30000 1 50000 5 10000 1 320000 5 64000 80 3000 2 120000 224000
2 159000 263000
106 3000
5 64000
1 320000
5 10000
1 50000
5 30000
17 3 50000
15 4 50000 5 40000 1 50000 5 10000 1 320000 5 64000 106 3000 2 159000 273000
Goni Jumlah harga Umur penyusutan jumlah harga umur penyusutan Jumlah Harga umur Penyusutan Jumlah harga Umur penyusutan Jumlah 1 3 50000
4 2 50000 5 20000 2 50000 5 20000 1 320000 5 64000 212 3000 2 318000 422000
2 120000 224000
80 3000
5 64000
1 320000
5 10000
1 50000
5 30000
5 3 50000
3 2 50000 5 20000 1 50000 5 10000 1 320000 5 64000 130 3000 2 195000 289000
7 2 50000 5 20000 1 50000 5 10000 1 320000 5 64000 80 3000 2 120000 214000
2 2 50000 5 20000 2 50000 5 20000 1 320000 5 64000 240 3000 2 360000 464000
2 195000 299000
130 3000
5 64000
1 320000
5 10000
1 50000
5 30000
6 4 50000 5 40000 1 50000 5 10000 1 320000 5 64000 200 3000 2 300000 414000
8 5 50000 5 50000 1 50000 5 10000 1 320000 5 64000 160 3000 2 240000 364000
14 4 50000 5 40000 1 50000 5 10000 1 320000 5 64000 80 3000 2 120000 234000
12 2 50000 5 20000 1 50000 5 10000 1 320000 5 64000 200 3000 2 300000 394000
2 360000 484000
240 3000
5 64000
1 320000
5 20000
2 50000
5 40000
13 4 50000
11 3 50000 5 30000 1 50000 5 10000 1 320000 5 64000 92 3000 2 138000 242000
9 5 50000
10 3 50000 5 30000 2 50000 5 20000 1 320000 5 64000 186 3000 2 279000 393000
2 258000 382000
172 3000
5 64000
1 320000
5 10000
1 50000
5 50000
30 3 50000 5 30000 2 50000 5 20000 1 320000 5 64000 164 3000 2 246000 360000
Biaya Tenaga Kerja
NO PENGOLAHAN PENANAMAN PEMUPUKAN PEMELIHARAAN PENGENDALIAN HPT PANEN18 3 50000 150000 2 50000 100000 5 50000 250000 2 50000 100000 250 5000 1250000 8 50000 400000 2250000
6 50000 300000
14 50000 700000
6 50000 300000
21 7 50000 350000
20 7 50000 350000 6 50000 300000 13 50000 650000 6 50000 300000 600 5000 3000000 25 50000 1250000 5850000
19 5 50000 250000 3 50000 150000 10 50000 500000 5 50000 250000 500 5000 2500000 20 50000 1000000 4650000
20 50000 1000000 3975000
25 50000 1250000 5775000
375 5000 1875000
4 50000 200000
10 50000 500000
3 50000 150000
17 5 50000 250000
16 7 50000 350000 5 50000 250000 13 50000 650000 7 50000 350000 575 5000 2875000 25 50000 1250000 5725000
15 4 50000 200000 2 50000 100000 8 50000 400000 3 50000 150000 250 5000 1250000 10 50000 500000 2600000
575 5000 2875000
22 6 50000 300000 5 50000 250000 12 50000 600000 6 50000 300000 550 5000 2750000 20 50000 1000000 5200000
27 50000 1350000 6325000
27 5 50000 250000 4 50000 200000 10 50000 500000 5 50000 250000 500 5000 2500000 10 50000 500000 4200000
300 5000 1500000
4 50000 200000
6 50000 300000
3 50000 150000
29 4 50000 200000
28 3 50000 150000 3 50000 150000 5 50000 250000 3 50000 150000 250 5000 1250000 10 50000 500000 2450000
26 3 50000 150000 2 50000 100000 6 50000 300000 3 50000 150000 250 5000 1250000 10 50000 500000 2450000
23 11 50000 550000 10 50000 500000 20 50000 1000000 10 50000 500000 700 5000 3500000 30 50000 1500000 7550000
15 50000 750000 3575000
375 5000 1875000
4 50000 200000
8 50000 400000
3 50000 150000
25 4 50000 200000
24 4 50000 200000 3 50000 150000 8 50000 400000 3 50000 150000 250 5000 1250000 10 50000 500000 2650000
14 4 50000 200000 2 50000 100000 7 50000 350000 3 50000 150000 250 5000 1250000 10 50000 500000 2550000
625 5000 3125000
Jumlah kerja orang (HKO)
250000 375 5000
5 4 50000 200000
4 7 50000 350000 6 50000 300000 14 50000 700000 7 50000 350000 575 5000 2875000 25 50000 1250000 5825000
3 5 50000 250000 3 50000 150000 10 50000 500000 5 50000 250000 375 5000 1875000 20 50000 1000000 4025000
2 7 50000 350000 6 50000 300000 13 50000 650000 8 50000 400000 575 5000 2875000 25 50000 1250000 5825000
1000000 4025000
1875000 20 50000
500000 5 50000
8 50000 400000
150000 10 50000
250000 3 50000
Jumlah biaya TOTAL 1 5 50000
Biaya tenaga kerja/ hari
Jumlah kerja orang (HKO)
TANGKI BIAYA/ TANGKI JUMLAH BIAYA
Biaya tenaga kerja/ hari Jumlah biaya Jumlah kerja orang (HKO) Biaya tenaga kerja/ hari Jumlah biaya Jumlah kerja orang (HKO) Biaya tenaga kerja/ hari Jumlah biaya
Jumlah
kerja
orang
(HKO)
Biaya tenaga kerja/ hari Jumlah biaya JUMLAH2 50000 100000
3 50000 150000
8 50000 400000
500 5000 2500000
15 50000 750000
6 50000 300000
13 8 50000 400000
12 6 50000 300000 5 50000 250000 12 50000 600000 6 50000 300000 575 5000 2875000 25 50000 1250000 5575000
11 4 50000 200000 3 50000 150000 9 50000 450000 4 50000 200000 250 5000 1250000 10 50000 500000 2750000
10 6 50000 300000 5 50000 250000 11 50000 550000 6 50000 300000 575 5000 2875000 23 50000 1150000 5425000
22 50000 1100000 4850000
7 50000 350000
250 5000 1250000
10 50000 500000
3 50000 150000
9 5 50000 250000
8 5 50000 250000 3 50000 150000 10 50000 500000 6 50000 300000 500 5000 2500000 22 50000 1100000 4800000
7 4 50000 200000 2 50000 100000 8 50000 400000 3 50000 150000 250 5000 1250000 10 50000 500000 2600000
6 6 50000 300000 4 50000 200000 12 50000 600000 7 50000 350000 575 5000 2875000 20 50000 1000000 5325000
10 50000 500000 2600000
15 50000 750000 3100000
sambungan
No
BIAYA PRODUKSI
Total Biaya produksi(Rp) Produksi (Kg) Harga (Rp)
Jumlah (Rp)
Pendapatan petani (Rp) Biaya tenaga kerja(Rp)
Biaya bibit(Rp) Biaya pupuk(Rp)
Biaya pestisida(Rp) Penyusutan alat (Rp)
1 7550000 9000000 4663600 2782000 514000 24509600 13000 5000 65000000 40490400 2 5825000 7920000 4331000 2366500 464000 20906500 9000 4000 36000000 12930800 3 4025000 4500000 2426800 1194500 289000 12435300 6000 4500 27000000 21313800 4 5825000 7290000 3608400 2070500 422000 19215900 7000 4000 28000000 8784100 5 2600000 2700000 1491600 632000 224000 7647600 5000 5000 25000000 25638800 6 5325000 6750000 3349000 1945000 414000 17783000 7000 5000 35000000 17352400 7 2600000 2250000 1491600 632000 214000 7187600 2500 4500 11250000 4062400 8 4800000 5220000 2793200 1496000 364000 14673200 8000 5000 40000000 17217000 9 4850000 5670000 2845000 1572500 382000 15319500 8600 4500 38700000 17718400
10 5425000 6300000 3092000 1875000 393000 17085000 9300 5000 46500000 30744600 11 2750000 3150000 1641000 778500 242000 8561500 4000 4500 18000000 9438500 12 5575000 6750000 3539000 1945000 394000 18203000 10000 5000 50000000 25326800 13 6325000 7650000 4101000 2447000 484000 21007000 12000 5000 60000000 25766400 14 2550000 2790000 1491600 632000 234000 7697600 3500 4500 15750000 8052400 15 2600000 3600000 1904200 943000 273000 9320200 5300 5000 26500000 29415000 16 5725000 7200000 3808400 2108000 414000 19255400 10000 5000 50000000 17179800 17 3975000 4500000 2426800 1237500 299000 12438300 4500 4000 18000000 5561700 18 2250000 2250000 1308400 520500 193000 6521900 2000 4000 8000000 422400 19 4650000 5400000 2753200 1539000 344000 14686200 8000 4500 36000000 15093500 20 5850000 7020000 3808400 2108000 414000 19200400 10000 5000 50000000 27337500 21 5775000 6300000 3282000 1911500 394000 17662500 9000 5000 45000000 24763800 22 5200000 5400000 2753200 1539000 344000 15236200 8000 5000 40000000 30799600 23 7550000 9000000 4663600 2782000 514000 24509600 13000 5000 65000000 18146700 24 2650000 3150000 1647600 702000 248000 8397600 3500 4000 14000000 1478100 25 3575000 3600000 1858000 936000 263000 10232000 5300 5000 26500000 16268000 26 2450000 2700000 1571600 632000 224000 7577600 2000 4000 8000000 5602400 27 4200000 5400000 2793200 1614000 354000 14361200 8000 5000 40000000 31797000 28 2450000 3150000 1597200 632000 240000 8069200 4200 5000 21000000 23380500 29 3100000 4050000 1923600 936000 272000 10281600 5600 5000 28000000 38993000 30 5150000 5400000 2784600 1539000 360000 15233600 8200 5000 41000000 14564700
Lampiran 4: Analisis Regresi Faktor Sosial Ekonomi Petani yang
Mempengaruhi Tingkat Adopsi petani terhadap Teknologi Anjuran
Budidaya Kentang. NO Umur (Tahun) Pendidikan (Tahun) Lama Berusaha Tani Luas Lahan Jumlah Tanggu ngan Tingkat Pendapatan T1
56
14
1
9 22 0,6 2 25.766.400
56
13
12 17 0,65 2 25.326.800
1
47
12
1
9 14 0,4 1 9.438.500
50
11
9 14 0,3 1 8.052.400
15
12 16 0,8 3 30.744.600
9 3 0,3 1 5.561.700
9 16 0,5 1 15.093.500
53
19
12 4 0,25 422.400
32
18
30
53
17
1
12 18 0,45 2 17.179.800
47
16
1
12 21 0,8 2 29.415.000
1
48
1
3
12 4 0,3 1 8.784.100
32
4
1
9 7 0,5 2 21.313.800
35
12 5 0,32 2 12.930.800
39
31
2
1
1 4 40.490.400
15
16
40
5
12 6 0,7 2 25.638.800
10
54
1
9 14 0,42 2 17.718.400
50
9
1
9 15 0,7 2 17.217.000
8
1
6 2 0,3 1 4.062.400
29
7
1
12 13 0,6 2 17.352.400
40
6
1 LOGISTIC REGRESSION VARIABLES Y /METHOD=ENTER X1 X2 X3 X4 X5 X6 /CLASSPLOT /PRINT=GOODFIT CORR ITER(1) /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression [DataSet1] D:\sikripsi bab1 - lampiran\TERBARU DATA TANGGAL 29 MARET.sav
Case Processing Summary a
Unweighted Cases N Percent Selected Cases Included in Analysis
30
96.8 Missing Cases
1
3.2 Total 31 100.0 Unselected Cases .0 Total
31 100.0 a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding Original Value Internal Value
1
1 a. Constant is included in the model.
b. Initial -2 Log Likelihood: 38,191
c. Estimation terminated at iteration number 3 because parameter estimates changed by less than ,001. a,b Classification Table
Predicted SKOR TINGKAT ADOPSI Percentage Observed
1 Correct Step 0 SKOR 10 .0 TINGKAT
1 20 100.0 ADOPSI
Overall Percentage 66.7 a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B S.E. Wald df Sig. Exp(B) Step 0 Constant .693 .387 3.203 1 .074 2.000
a
Variables not in the Equation Score df Sig.
a,b,c,d Iteration History Coefficients Iteration -2 Log likelihood Constant
X1 X2
X5 X6 Step 1 1 19.912 -11.721 .254 .366 -.194 -3.397 -.277 .000 2 15.950 -20.669 .448 .665 -.353 -6.550 -.361 .000 3 14.958 -27.707 .605 .908 -.487 -9.752 -.407 .000 4 14.827 -31.248 .684 1.039 -.552 -11.663 -.463 .000 5 14.823 -31.977 .700 1.068 -.564 -12.097 -.481 .000 6 14.823 -32.004 .701 1.069 -.564 -12.115 -.482 .000 7 14.823 -32.004 .701 1.069 -.564 -12.115 -.482 .000
a. Method: Enter b. Constant is included in the model.
c. Initial -2 Log Likelihood: 38,191 d. Estimation terminated at iteration number 7 because parameter estimates changed by less than ,001.
Omnibus Tests of Model Coefficients Chi-square Df Sig.
Step 1 Step 23.367
6 .001
Block 23.3676 .001
Model 23.3676 .001
Model Summary Cox & Snell R Nagelkerke R
Contingency Table for Hosmer and Lemeshow Test
SKOR TINGKAT ADOPSI = ,00 SKOR TINGKAT ADOPSI = 1,00 Observed Expected Observed Expected TotalStep 1
1 3 2.982 .018
3
2 2 2.769 1 .231
3
3 3 2.140 .860
3
4 2 1.304 1 1.696
3 5 .401 3 2.599
3 6 .186 3 2.814
3 7 .107 3 2.893
3 8 .062 3 2.938
3 9 .044 3 2.956
3 10 .006 3 2.994
3 a Classification Table
Predicted SKOR TINGKAT ADOPSI Percentage Observed
1 Correct Step 1 SKOR TINGKAT ADOPSI 0
9
1
90.0
Variables in the Equation B S.E. Wald Df Sig. Exp(B) a
Step 1 X1 .701 .354 3.916 1 .048 2.015 X2 1.069 .528 4.104 1 .043 2.912 X3 -.564 .470 1.440 1 .230 .569 X4 -12.115 9.209 1.731 1 .188 .000 X5 -.482 1.015 .226 1 .635 .617 X6 .000 .000 2.724 1 .099 1.000 Constant -32.004 14.202 5.078 1 .024 .000 a. Variable(s) entered on step 1: X1, X2, X3, X4, X5, X6.
Correlation Matrix
ConstantX1 X2
X5 X6 Step 1 Constant 1.000 -.937 -.843 .767 .465 -.079 -.532 X1 -.937 1.000 .642 -.892 -.424 .085 .480 X2 -.843 .642 1.000 -.389 -.596 -.155 .634 X3 .767 -.892 -.389 1.000 .087 -.282 -.247 X4 .465 -.424 -.596 .087 1.000 .307 -.861 X5 -.079 .085 -.155 -.282 .307 1.000 -.416 X6 -.532 .480 .634 -.247 -.861 -.416 1.000