LAMPIRAN ANALISIS EFISIENSI PENGGUNAAN FAKTOR-FAKTOR PRODUKSI PADA TANAMAN KOPI DI KABUPATEN DAIRI. No. Responden :...

(1)

LAMPIRAN

Lampiran 1

Kuesioner Penelitian

ANALISIS EFISIENSI PENGGUNAAN FAKTOR-FAKTOR PRODUKSI

PADA TANAMAN KOPI DI KABUPATEN DAIRI

I. Identitas diri

No. Responden

:...

Nama/ umur

: .../... tahun

(L / P)

(2)

Alamat/kec

: ...

Pekerjaan

: ...

Pendidikan

: a. Tidak pernah sekolah

d. SMA

b. SD

e. AK

c. SMP

f. Sarjana

Jumlah tanggungan

: ... orang

No

Nama

L/P Hubungan

KRT

Umur Pendidikan

Status

1

2

3

4

5

6

II. Pendapatan per bulan

1. Pendapatan utama suami/istri

Rp.

/bulan

a. Pendapatan sampingan suami/istri

Rp.

/bulan

b. Pendapatan suami/istri

Rp.

/bulan

c. Pendapatan keluarga

Rp.

/bulan

d. Pendapatan sampingan keluarga

Rp.

/bulan

Jumlah

Rp.

/bulan

2. Pengeluaran biaya pemakaian listrik

Rp……….../bulan

3. Pengeluaran pemakaian biaya air PDAM Rp……….../bulan

4. Pengeluaran pemakaian biaya HP

Rp……….../bulan

5. Pengeluaran biaya pemakaian minyak/gas

a. Minyak tanah

Rp……….../bulan

b. Gas

Rp……….../bulan

Jumlah

Rp……….../bulan

6. Pengeluaran biaya kesehatan

Rp……….../bulan

(3)

(biaya pendidikan anak,istri,suami,dan keluarga)

a. Biaya buku

Rp………../bulan

b. Jajan

Rp……….../bulan

c. Transportasi sekolah

Rp……….../bulan

d. Baju sekolah

Rp……….../bulan

e. Uang sekolah

Rp……….../bulan

Jumlah

Rp…...………….../bulan

III. Komponen Jenis Kopi

8. Jenis kopi apakah yang Anda tanam?

a. Arabika

b. Robusta

IV. Komponen Tenaga Kerja

a.

Untuk Panen

9. Jumlah panen kopi Anda dalam sebulan adalah ... kali / bulan

10. Dalam 1x panen, jumlah tenaga kerja yang digunakan = ... orang

11. Dalam 1 hari kerja, jumlah jam kerja yang digunakan = ... jam

b.

Untuk Perawatan

12. Perawatan tanaman kopi dalam sebulan = ... kali

13. Jumlah tenaga kerja yang digunakan dalam sekali perawatan = ...orang

14. Dalam satu hari kerja, jumlah jam kerja yang digunakan = ... jam.

V. Komponen Luas Lahan dan Produksi

15. Luas lahan kopi Anda adalah ... Ha

16. Produksi kopi Anda per bulan = ... Kg

17. Luas lahan yang ditanami tanaman lain adalah ... Ha

18. Lahan kosong adalah ...Ha.

19. Luas lahan sewa adalah ... Ha

20. Produksi lahan sewa adalah ... Ha

21. Biaya lahan sewa Rp...

22. Biaya Pajak Bumi dan Bangunan Lahan Anda adalah Rp...

VI. Umur Pohon

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VII. Komponen Pemasaran Kopi

24. Apakah kopi Anda dijual ke pasar atau diolah sendiri?

a. Dijual ke pasar

b. Diolah sendiri

25. Kalau di jual ke pasar, bagaimanakah sistem pemasaran kopi Anda?

a. Menjual sendiri ke agen besar

b. Menjual kepada para agen kecil di daerah

VIII. Komponen Harga

26. Bagaimanakah sistem penentuan harga kopi di daerah ini?

a. Melalui negosiasi petani dengan agen

b. Ditentukan sendiri oleh agen

27. Rata-rata harga kopi di daerah ini adalah Rp...

IX. Komponen Pupuk

28. Dalam pemakaian pupuk organik, pemakaian pupuk adalah ... kali/ tahun

29. Jumlah pemakaian pupuk dalam setengah tahun terakhir adalah ...Kg

VIII. Saran

22. Apakah ada hambatan/ kendala usaha yang Anda hadapi dalam menjalankan

usaha ini?

(a). Ya (b). Tidak

Bila Ya, Sebutkan hambatan-hambatan tersebut!

...

23. Hal-hal apa yang dibutuhkan oleh petani kopi untuk mengembangkan

produksi?

...

24. Adakah organisasi perkumpulan bagi para petani (khususnya petani kopi)?

(a). Ya (b). Tidak

(5)

...

30. Apakah saran Anda bagi pemerintah atau organisasi petani yang ada di daerah

ini?

...

=TERIMAKASIH ATAS KERJASAMA ANDA=

Lampiran 2

(6)

Valid

Frequency Percent Valid Percent

Cumulative Percent 20,00 1 1,0 1,0 1,0 60,00 1 1,0 1,0 2,0 78,00 1 1,0 1,0 3,0 90,00 1 1,0 1,0 4,0 108,00 1 1,0 1,0 5,0 120,00 1 1,0 1,0 6,0 144,00 1 1,0 1,0 7,0 204,00 1 1,0 1,0 8,0 240,00 2 2,0 2,0 10,0 288,00 1 1,0 1,0 11,0 300,00 1 1,0 1,0 12,0 346,00 1 1,0 1,0 13,0 360,00 1 1,0 1,0 14,0 432,00 1 1,0 1,0 15,0 480,00 3 3,0 3,0 18,0 576,00 2 2,0 2,0 20,0 600,00 1 1,0 1,0 21,0 624,00 2 2,0 2,0 23,0 720,00 1 1,0 1,0 24,0 864,00 2 2,0 2,0 26,0 936,00 1 1,0 1,0 27,0 1008,00 1 1,0 1,0 28,0 1080,00 1 1,0 1,0 29,0 1152,00 3 3,0 3,0 32,0 1200,00 2 2,0 2,0 34,0 1248,00 1 1,0 1,0 35,0 1440,00 1 1,0 1,0 36,0 1488,00 1 1,0 1,0 37,0 1728,00 4 4,0 4,0 41,0 1920,00 3 3,0 3,0 44,0

Berlanjut ke halaman berikutnya.

Valid

Cumulative Percent

(7)

2304,00 1 1,0 1,0 46,0 2400,00 10 0,0 10,0 56,0 2640,00 3 3,0 3,0 59,0 2880,00 3 3,0 3,0 62,0 3600,00 2 2,0 2,0 64,0 3840,00 3 3,0 3,0 67,0 4032,00 1 1,0 1,0 68,0 4200,00 1 1,0 1,0 69,0 4320,00 2 2,0 2,0 71,0 4500,00 1 1,0 1,0 72,0 4560,00 1 1,0 1,0 73,0 4600,00 1 1,0 1,0 74,0 4800,00 4 4,0 4,0 78,0 5280,00 2 2,0 2,0 80,0 5760,00 2 2,0 2,0 82,0 6000,00 2 2,0 2,0 84,0 7200,00 4 4,0 4,0 88,0 8400,00 4 4,0 4,0 92,0 9600,00 3 3,0 3,0 95,0 11520,00 1 1,0 1,0 96,0 12000,00 3 3,0 3,0 99,0 13200,00 1 1,0 1,0 100,0 Total 100 100,0 100,0 Valid

(8)

60,00 60,00 1,0 1,0 2,0 78,00 78,00 1,0 1,0 3,0 90,00 90,00 1,0 1,0 4,0 108,00 108,00 1,0 1,0 5,0 120,00 120,00 1,0 1,0 6,0 144,00 144,00 1,0 1,0 7,0 204,00 204,00 1,0 1,0 8,0 240,00 240,00 2,0 2,0 10,0 288,00 288,00 1,0 1,0 11,0 300,00 300,00 1,0 1,0 12,0 346,00 346,00 1,0 1,0 13,0 360,00 360,00 1,0 1,0 14,0 432,00 432,00 1,0 1,0 15,0 480,00 480,00 3,0 3,0 18,0 576,00 576,00 2,0 2,0 20,0 600,00 600,00 1,0 1,0 21,0 624,00 624,00 2,0 2,0 23,0 720,00 720,00 1,0 1,0 24,0 864,00 864,00 2,0 2,0 26,0 936,00 936,00 1,0 1,0 27,0 1008,00 1008,00 1,0 1,0 28,0 1080,00 1080,00 1,0 1,0 29,0 1152,00 1152,00 3,0 3,0 32,0 1200,00 1200,00 2,0 2,0 34,0 1248,00 1248,00 1,0 1,0 35,0 1440,00 1440,00 1,0 1,0 36,0 1488,00 1488,00 1,0 1,0 37,0 1728,00 1728,00 4,0 4,0 41,0 1920,00 1920,00 3,0 3,0 44,0 2160,00 2160,00 1,0 1,0 45,0 2304,00 2304,00 1,0 1,0 46,0 2400,00 2400,00 10,0 10,0 56,0 2640,00 2640,00 3,0 3,0 59,0 2880,00 2880,00 3,0 3,0 62,0 3600,00 3600,00 2,0 2,0 64,0

Berlanjut ke halaman berikutnya.

Valid

(9)

4032,00 4032,00 1,0 1,0 68,0 4200,00 4200,00 1,0 1,0 69,0 4320,00 4320,00 2,0 2,0 71,0 4500,00 4500,00 1,0 1,0 72,0 4560,00 4560,00 1,0 1,0 73,0 4600,00 4600,00 1,0 1,0 74,0 4800,00 4800,00 4,0 4,0 78,0 5280,00 5280,00 2,0 2,0 80,0 5760,00 5760,00 2,0 2,0 82,0 6000,00 6000,00 2,0 2,0 84,0 7200,00 7200,00 4,0 4,0 88,0 8400,00 8400,00 4,0 4,0 92,0 9600,00 9600,00 3,0 3,0 95,0 11520,00 11520,00 1,0 1,0 96,0 12000,00 12000,00 3,0 3,0 99,0 13200,00 13200,00 1,0 1,0 100,0 Total Total 100,0 100,0 Valid

(10)

100,00 1 1,0 1,0 2,0 128,00 1 1,0 1,0 3,0 154,00 1 1,0 1,0 4,0 182,00 1 1,0 1,0 5,0 189,00 1 1,0 1,0 6,0 216,00 3 3,0 3,0 9,0 224,00 1 1,0 1,0 10,0 288,00 1 1,0 1,0 11,0 304,00 1 1,0 1,0 12,0 312,00 3 3,0 3,0 15,0 336,00 4 4,0 4,0 19,0 364,00 1 1,0 1,0 20,0 384,00 2 2,0 2,0 22,0 400,00 2 2,0 2,0 24,0 416,00 1 1,0 1,0 25,0 420,00 2 2,0 2,0 27,0 432,00 1 1,0 1,0 28,0 448,00 1 1,0 1,0 29,0 462,00 1 1,0 1,0 30,0 480,00 4 4,0 4,0 34,0 504,00 6 6,0 6,0 40,0 528,00 1 1,0 1,0 41,0 532,00 1 1,0 1,0 42,0 546,00 1 1,0 1,0 43,0 576,00 3 3,0 3,0 46,0 600,00 2 2,0 2,0 48,0 609,00 1 1,0 1,0 49,0 612,00 1 1,0 1,0 50,0 624,00 2 2,0 2,0 52,0 672,00 4 4,0 4,0 56,0 696,00 1 1,0 1,0 57,0 700,00 1 1,0 1,0 58,0 736,00 1 1,0 1,0 59,0 744,00 1 1,0 1,0 60,0 756,00 5 5,0 5,0 65,0

Berlanjut ke halaman berikutnya

Valid

(11)

784,00 2 2,0 2,0 69,0 864,00 3 3,0 3,0 72,0 900,00 1 1,0 1,0 73,0 924,00 1 1,0 1,0 74,0 960,00 1 1,0 1,0 75,0 1008,00 2 2,0 2,0 77,0 1080,00 1 1,0 1,0 78,0 1152,00 4 4,0 4,0 82,0 1176,00 1 1,0 1,0 83,0 1248,00 4 4,0 4,0 87,0 1260,00 1 1,0 1,0 88,0 1384,00 1 1,0 1,0 89,0 1512,00 2 2,0 2,0 91,0 1536,00 2 2,0 2,0 93,0 1560,00 1 1,0 1,0 94,0 1584,00 1 1,0 1,0 95,0 1824,00 1 1,0 1,0 96,0 2232,00 1 1,0 1,0 97,0 2240,00 1 1,0 1,0 98,0 2256,00 1 1,0 1,0 99,0 2640,00 1 1,0 1,0 100,0 Total 100 100,0 100,0 UmurPohon

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Frequency Percent Valid Percent Cumulative Percent Valid 3,00 4 4,0 4,0 4,0 4,00 7 7,0 7,0 11,0 5,00 5 5,0 5,0 16,0 6,00 7 7,0 7,0 23,0 7,00 14 14,0 14,0 37,0 8,00 17 17,0 17,0 54,0 9,00 3 3,0 3,0 57,0 10,00 17 17,0 17,0 74,0 11,00 3 3,0 3,0 77,0 12,00 5 5,0 5,0 82,0 13,00 2 2,0 2,0 84,0 15,00 2 2,0 2,0 86,0 19,00 1 1,0 1,0 87,0 20,00 1 1,0 1,0 88,0 25,00 1 1,0 1,0 89,0 40,00 2 2,0 2,0 91,0 42,00 1 1,0 1,0 92,0 45,00 1 1,0 1,0 93,0 50,00 3 3,0 3,0 96,0 55,00 1 1,0 1,0 97,0 70,00 1 1,0 1,0 98,0 80,00 1 1,0 1,0 99,0 90,00 1 1,0 1,0 100,0 Total 100 100,0 100,0

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Pupuk

Frequency Percent Valid Percent

Cumulative Percent Valid ,00 22 22,0 22,0 22,0 50,00 3 3,0 3,0 25,0 60,00 2 2,0 2,0 27,0 100,00 5 5,0 5,0 32,0 120,00 1 1,0 1,0 33,0 160,00 1 1,0 1,0 34,0 190,00 1 1,0 1,0 35,0 200,00 20 20,0 20,0 55,0 220,00 1 1,0 1,0 56,0 300,00 10 10,0 10,0 66,0 336,00 1 1,0 1,0 67,0 400,00 12 12,0 12,0 79,0 500,00 5 5,0 5,0 84,0 600,00 4 4,0 4,0 88,0 700,00 2 2,0 2,0 90,0 750,00 2 2,0 2,0 92,0 800,00 2 2,0 2,0 94,0 900,00 1 1,0 1,0 95,0 1000,00 2 2,0 2,0 97,0 1200,00 2 2,0 2,0 99,0 2000,00 1 1,0 1,0 100,0 Total 100 100,0 100,0

(15)

Lampiran 3

Hasil Uji SPSS

1. Uji Normalitas

2. Uji Heterokedastisitas

Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) -139,111 1075,085 -,129 ,897 Luas Lahan 1495,820 394,029 ,512 3,796 ,000 Tenaga Kerja -,054 ,280 -,024 -,193 ,848 Umur Pohon 7,910 15,910 ,054 ,497 ,621 Pupuk 84,846 200,785 ,058 ,423 ,674

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Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) -139,111 1075,085 -,129 ,897 Luas Lahan 1495,820 394,029 ,512 3,796 ,000 Tenaga Kerja -,054 ,280 -,024 -,193 ,848 Umur Pohon 7,910 15,910 ,054 ,497 ,621 Pupuk 84,846 200,785 ,058 ,423 ,674

a. Dependent Variable: absut

*setelah data diubah ke dalam bentuk logaritma natural

Coefficientsa Model Unstandardized Coefficients Standardized Coefficients T Sig. B Std. Error Beta 1 (Constant) 1,075 ,939 1,145 ,256 LnX1 -,084 ,096 -,137 -,877 ,383 LnX2 -,109 ,098 -,166 -1,117 ,268 LnX3 -,008 ,094 -,011 -,088 ,930 LnX4 ,043 ,420 ,015 ,102 ,919

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3. Uji Multikolinearitas

Coefficientsa Model Unstandardized Coefficients Standardized Coefficients T Sig. B Std. Error Beta 1 (Constant) 1,075 ,939 1,145 ,256 LnX1 -,084 ,096 -,137 -,877 ,383 LnX2 -,109 ,098 -,166 -1,117 ,268 LnX3 -,008 ,094 -,011 -,088 ,930 LnX4 ,043 ,420 ,015 ,102 ,919

a. Dependent Variable: absut2

4. Hasil Estimasi Regresi Linear Berganda

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 ,840a ,705 ,689 ,62907 ,705 43,650 4 73 ,000 1,772 a. Predictors: (Constant), LnX4, LnX3, LnX2, LnX1 b. Dependent Variable: LnY

(18)

ANOVA Model

b

Sum of Squares df Mean Square F Sig. 1 Regression 69,096 4 17,274 43,650 ,000a

Residual 28,888 73 ,396

Total 97,984 77

a. Predictors: (Constant), LnX4, LnX3, LnX2, LnX1 b. Dependent Variable: LnY

Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. 95,0% Confidence

Interval for B Correlations

Collinearity Statistics B Std. Error Beta Lower Bound Upper Bound Zero-order Parti-al Part Toler ance VIF 1 (Const ant) 2,410 1,506 1,601 ,114 -,591 5,410 LnX1 ,611 ,154 ,351 3,977 ,000 ,305 ,917 ,679 ,422 ,253 ,520 1,925 LnX2 ,907 ,157 ,483 5,779 ,000 ,594 1,219 ,727 ,560 ,367 ,578 1,730 LnX3 -,602 ,151 -,271 -3,980 ,000 -,904 -,301 -,247 -,422 -,253 ,872 1,147 LnX4 ,657 ,674 ,083 ,975 ,333 -,686 1,999 ,592 ,113 ,062 ,560 1,784 a. Dependent Variable: LnY

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Hasil Estimasi Regresi Variabel Dummy

Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 1046,750 769,364 1,361 ,177 Jenis Kopi 2743,417 839,445 ,313 3,268 ,001 a. Dependent Variable: Jumlaah Produksi

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation Jumlaah Produksi 100 20,00 13200,00 3351,2200 3224,41276

Luas Lahan 100 ,08 2,00 ,6127 ,37335

Tenaga Kerja 100 84,00 2640,00 758,3000 506,14352 Valid N (listwise) 100

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No Nama Umur Kec Pkerjaan Pddkn JT Pendptn Pngeluarn Dum my Tenaker Luas Lhn Jlh Prod Pupuk Hrga Kopi Umur pohon

1 Mely Girsang 47 Sumbul PNS D 5 14500000 5425000 1 1248 0,64 4500 300 15000 10

2 Miduk Siahaan 29 Sumbul Bertani D 2 2250000 418000 1 600 0,6 4800 400 15000 10

3 Anni Purba 49 Sumbul PNS D 3 9000000 3318000 1 1176 0,48 2880 300 15000 11

4 Rudianto Purba 29 Sumbul Bertani D 2 1500000 162000 1 1152 1 7200 800 15000 8

5 Akjun Simarmata 57 Sumbul Bertani C 4 2000000 1740000 1 612 0,6 576 600 15000 12

6 L.Manullang 54 Sumbul PNS F 4 10500000 5054000 1 1260 0,64 3600 1200 15000 7

7 M.Sinaga 53 Sumbul Bertani C 4 780000 403000 1 336 0,16 346 336 15000 3

8 T.Smanjorang 57 Sumbul Bertani B 2 900000 690000 1 432 0,12 480 60 15000 8

9 M.Br. Purba 50 Sumbul Bertani A 2 500000 187500 1 312 0,16 480 0 12000 8

10 R.Silalahi 31 Sumbul PNS F 1 4500000 157000 1 216 0,08 624 0 15000 5

11 E.Boang Manalu 57 Sumbul Bertani C 1 700000 429000 1 312 0,5 720 200 15000 10

12 S.Manik 24 Sumbul Bertani D 2 900000 152000 1 1152 0,2 240 0 15000 3

13 Pak Dana 34 Sumbul Bertani C 4 1500000 255000 1 1384 0,64 1488 0 14500 7

14 L. Br. Sinaga 32 Sumbul Bertani D 3 1000000 643000 1 600 0,4 1728 400 14000 10

15 H.Br.Nainggolan 60 Sumbul Bertani B 1 2500000 135000 0 304 0,5 864 190 15000 4

16 A.Simorangkir 63 Sumbul Bertani B 4 4000000 132000 1 672 0,32 1200 400 16000 10

17 S.Sitohang 47 Sumbul Bertani D 5 4500000 1482000 1 672 0,4 1200 400 16000 8

18 Afrina Matanari 48 Sumbul PNS D 4 8000000 5167000 1 1560 0,56 4032 300 15000 10

19 B.Sinaga 35 Sumbul Bertani C 4 1200000 479000 1 420 0,08 1728 50 14000 7

20 J.Manik 38 Sumbul Bertani C 3 3000000 630000 1 384 0,5 480 300 15000 8

21 Esbon 42 Sumbul Bertani D 4 2500000 488000 1 624 0,25 2880 400 13000 6

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23 S.Bagariang 39 Sumbul Bertani F 3 4000000 586000 1 1536 0,5 4560 300 13000 11

24 Jansen Malau 70 Sumbul Bertani F 2 2000000 861000 1 480 1 7200 600 12000 6

25 J. Pasaribu 50 Sumbul Bertani D 5 9000000 830000 1 576 1 6000 700 12000 6

26 N.Nainggolan 58 Sumbul Bertani B 1 600000 218000 1 528 0,32 1008 100 13000 12

27 S.banjarnahor 58 Sumbul Bertani B 3 5000000 2384000 1 756 0,32 2304 200 14000 11

28 M.Simbolon 60 Sumbul Bertani D 0 1500000 166000 1 504 0,5 2400 100 13500 10

29 N.Sitanggang 45 Sumbul Bertani D 5 4000000 1670000 1 784 0,5 3840 200 13500 7

30 D.Gurning 50 Sumbul Bertani D 1 1200000 220000 1 672 0,28 1920 0 13500 8

31 M.Simbolon 55 Sumbul Bertani C 0 500000 215000 1 784 0,5 3840 300 16000 7

32 P.Pasaribu 45 Sumbul Bertani D 5 3100000 347000 1 672 0,28 2400 120 15000 8

33 S.Sinaga 59 Sumbul Bertani D 3 6500000 1700000 1 1536 1,5 12000 1000 15000 8

34 G.Mandalahi 40 Sumbul Bertani D 4 8000000 695000 1 1152 1,5 12000 700 12000 7

35 J.Situmorang 48 Sumbul Bertani D 4 8000000 765000 1 768 1 8400 400 12000 5

36 J.Silalahi 50 Sumbul Bertani F 6 9000000 2366000 1 1248 1,5 7200 1000 12000 8

37 K.Banjarnahor 53 Sumbul Bertani D 5 2500000 2100000 1 1152 0,5 4800 400 12000 12

38 S.Dabukke 50 Sumbul Bertani D 3 4500000 1299000 1 960 1 9600 600 12000 10

39 R.Sagala 30 Sumbul Bertani F 3 5200000 600000 1 1512 1,5 7200 300 12000 10

40 A.Silalahi 45 Sumbul Bertani C 4 6000000 520000 0 2640 1 12000 500 18000 6

41 L.Pakpahan 41 Sumbul Bertani C 2 600000 125000 1 288 0,2 576 0 14000 3

42 J.Siburian 35 Sumbul Bertani D 4 2500000 541000 1 480 0,5 4800 300 12000 13

43 B.Sitanggang 55 Sumbul Bertani D 6 6000000 1735000 1 1248 2 8400 2000 12000 9

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45 D.Manik 55 Sumbul Bertani C 0 1300000 400000 1 696 0,4 2400 0 13000 13

46 L.Sagala 45 Sumbul Bertani D 4 5000000 830000 1 744 0,4 3600 0 13000 10

47 H.Tarigan 40 Sumbul Bertani F 4 9000000 775000 0 154 0,12 20 50 17000 45

48 A.Panjaitan 38 Silima

Pungga-pungga

Bertani D 1 500000 174000 1 1248 1 8400 200 12000 10

49 T.Siboro 45 Sumbul Bertani D 1 1250000 250000 1 480 0,25 2400 200 12000 6

50 D.Sihombing 63 Parbuluan Bertani B 1 600000 136000 1 504 0,5 2400 200 14000 10

51 A.Nainggolan 39 Parbuluan Bertani C 6 3500000 666000 1 1008 1 5280 300 12000 6

52 J.Sijabat 20 Parbuluan Bertani B 0 1000000 186000 1 924 1 5760 100 15000 6

53 N.habeahan 56 Parbuluan Bertani D 5 1700000 581000 1 546 1 2880 900 15000 7

54 W.Simamora 57 Parbuluan Bertani B 2 2000000 1055000 1 700 1 1152 200 16000 10

55 J.Situmorang 53 Parbuluan Bertani B 3 500000 150000 1 2232 1 4320 750 15000 4

56 J.banjarnahor 45 Parbuluan Bertani C 5 2600000 367000 1 336 0,8 1248 0 16000 12

57 R.Sinaga 41 Parbuluan Bertani C 6 4300000 1115000 1 768 0,25 2400 200 16000 4

58 S.Naibaho 58 Parbuluan Wiraswasta D 5 1500000 600000 1 420 0,4 1728 200 16000 4

59 L.Lbn Raja 30 Parbuluan Bertani D 0 2000000 280000 1 384 0,24 1152 0 16000 4

60 T.Sitohang 36 Parbuluan Bertani B 2 800000 180000 1 100 0,3 288 160 15000 3

61 P.Silaban 43 Parbuluan Bertani B 4 1500000 410000 1 900 0,8 5760 800 16000 12

62 R.Capah 32 Parbuluan Bertani C 6 3000000 972000 1 864 0,32 432 200 16000 7

63 M.Sagala 70 Parbuluan Bertani B 1 430000 105000 1 364 0,48 1152 400 15000 10

64 J.Sagala 59 Parbuluan Bertani B 3 3000000 658000 1 1080 0,6 4320 500 15000 15

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66 J.Silalahi 46 Parbuluan Bertani D 3 3000000 2470000 1 736 1 11520 200 15000 7

67 SS 48 Parbuluan Bertani D 4 1500000 527000 1 480 0,5 4800 400 16000 8

No Nama Umur Kec Pkerjaan Pddkn JT Pendptn Pngeluarn Dum

my Tenaker Luas Lhn Jlh Prod Pupuk Hrga Kopi Umur pohon

68 E.Sitanggang 50 Parbuluan Bertani B 2 800000 410000 1 216 0,5 4600 0 16000 8

69 S.Sitanggang 39 Parbuluan Bertani D 6 2000000 414000 1 1584 1 9600 750 16000 10

70 M.Sitanggang 45 Parbuluan Bertani D 7 2000000 1430000 1 576 0,25 3840 400 16000 8

71 B.Sitanggang 38 Parbuluan Bertani D 5 2000000 1050000 1 576 0,75 2160 500 16000 5

72 S.Pasaribu 38 Parbuluan Bertani B 5 900000 266000 1 756 0,5 1920 100 14000 4

73 M.sianturi 40 Parbuluan Bertani D 3 1200000 396000 1 864 0,5 2400 200 14000 8

74 R.Boangmanalu 49 Parbuluan Bertani D 4 3000000 990000 1 1008 0,5 2640 200 14000 8

75 O.Nainggolan 41 Parbuluan Bertani C 5 1250000 301000 1 504 1 5280 200 14000 7

76 F.nainggolan 61 Parbuluan Bertani C 3 1000000 746000 1 756 1 4200 200 14000 9

77 P.Manalu 63 Parbuluan Bertani F 2 850000 686000 1 756 0,5 2640 200 14000 9

78 A.Sihite 62 Parbuluan Bertani D 5 1100000 350000 1 1512 1 9600 500 12000 10

79 S.Siregar 61 Parbuluan Bertani C 2 800000 270000 1 864 0,5 1920 200 14000 10

80 M.Tinambunan 45 Parbuluan Bertani D 5 4500000 765000 1 756 0,5 2640 220 14000 7

81 P.Munthe 35 Parbuluan Bertani D 3 2000000 380000 1 504 0,5 2400 200 14000 5

82 D.Sinaga 55 Parbuluan Bertani C 6 1000000 790000 1 2240 1,5 13200 600 16000 19

83 M.Situmorang 51 Parbuluan Bertani F 5 4300000 1040000 1 624 0,4 1440 400 14000 15

84 M.Sihombing 43 Parbuluan Bertani B 6 1000000 650000 1 216 1 2400 0 14000 5

85 K.Lbn Gaol 31 Parbuluan Bertani C 4 1500000 500000 1 336 0,52 2400 200 14000 7

(26)

87 D.Nainggolan 40 Parbuluan Bertani B 3 1000000 485000 1 224 0,2 1080 300 17000 4

88 R.Manurung 42 Parbuluan Bertani D 6 1500000 620000 0 182 0,36 144 0 15000 80

89 M.Marbun 50 Parbuluan Bertani D 1 1300000 345000 0 504 0,48 204 50 17000 40

90 R.Berampu 46 Silima Pungga-pungga Bertani D 3 2000000 1402000 0 400 0,52 240 0 17000 90 91 S.Panjaitan 62 Silima Pungga-pungga Bertani B 7 600000 475000 0 532 0,72 936 0 17000 42 92 B.Pasaribu 45 Silima Pungga-pungga Wiraswasta D 4 4000000 2669000 0 448 0,4 624 200 17000 25 93 S.Simanjuntak 57 Silima Pungga-pungga Bertani B 4 900000 492000 0 128 0,5 78 0 17000 50 94 Br Hasibuan 36 Silima Pungga-pungga Bertani C 2 500000 205000 0 312 0,36 108 0 17000 40 95 S. Ambarita 63 Silima Pungga-pungga Bertani A 0 500000 205000 0 336 0,36 60 0 17000 50 96 T.hasibuan 60 Silima Pungga-pungga Bertani A 0 1000000 170000 0 609 0,4 360 0 17000 20 97 P.Br.marpaung 70 Silima Pungga-pungga Bertani A 0 600000 180000 0 504 0,48 120 0 17000 55

(27)

No Nama Umur Kec Pkerjaan Pddkn JT Pendptn Pngeluarn Dum my Tenaker Luas Lhn Jlh Prod Pupuk Hrga Kopi Umur pohon 98 P.Siagian 65 Silima Pungga-pungga Bertani C 0 500000 183000 0 462 1 600 60 17000 50 99 T.Bakkara 27 Silima Pungga-pungga Bertani D 4 1000000 694000 0 189 0,28 90 0 17000 7 100 Sitorus 67 Silima Pungga-pungga Bertani B 0 700000 154000 0 84 0,8 300 0 17000 70