analisis kemitraan petani jahe emprit dengan industri...

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Lampiran 1. Kuisioner Penelitian

KUISIONER PENELITIAN ANALISIS KEMITRAAN

PETANI JAHE EMPRIT DENGAN INDUSTRI JAMU

A. Data Pribadi Petani

1. Nama :

2. Jenis Kelamin :

3. Alamat :

4. Nomer HP :

5. Usia : tahun

6. Tingkat pendidikan : tahun

7. Lama berusaha tani jahe : tahun

8. Luas lahan yang digarap :

o Lahan sendiri : ha

o Lahan sewa : ha

9. Apakah Anda menjalin kemitraan? (YA/TIDAK)

10. Motivasi Anda menjalin kemitraan dengan Sido Muncul berasal dari: (beri tanda

“V”)

o Anjuran dari pemerintah

o Anjuran dari perusahaan

o Diajak teman (petani lain)

o Inisiatif sendiri

11. Apakah dengan menjalin kemitraan akan lebih mudah dalam pengadaan modal

uang? (YA?TIDAK)

12. Apakah denngan menjalin kemitraan akan mendapat bimbingan teknis?

(YA?TIDAK)

13. Apakah dengan menjalin kemitraan pemasaran akan terjamin? (YA?TIDAK)

14. Apakah dengan menjalin kemitraan akan menambah ilmu pengetahuan?

(YA?TIDAK)

15. Alasan mengapa Anda tidak menjalin kemitraan dengan Sido Muncul: (beri tanda

“V”)

o Ingin menjadi petani mandiri

o Kurang puas dengan pelayanan perusahaan

o Kurang puas dengan manfaat yang diperoleh

o Tertarik dengan pihak pembeli lainnya

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B. Analisis Usahatani

1. Penerimaan Petani Jahe

1) Hasil panen : kg

2) Harga jual : Rp /kg

3) Total Penerimaan : Rp /ha/MT

2. Biaya Usahatani

2.1. Biaya Eksplisit

No Jenis pengeluaran Unit Satuan Harga Total

1 Pupuk kandang Kg

2 Pupuk organik padat Kg

3 Pupuk organik cair Kg

4 Pupuk urea Kg

5 Ppupuk phonska Kg

6 Benih Kg

7 Dolomit Kg

8 TKLK laki-laki org/jam/hari

Pengolahan lahan

Tanam

Penyulaman

Pemupukan

Penyiangan

Panen

9 TKLK perempuan org/jam/hari

Pengolahan lahan

Tanam

Penyulaman

Pemupukan

Penyiangan

Panen

Total

2.2. Biaya Implisit

No Jenis pengeluaran Unit Satuan Harga Total

1 Sewa lahan Ha

2 Pajak tanah MT

3 TKDK laki-laki org/jam/hari

Pengolahan lahan

Tanam

Penyulaman

Pemupukan

47

Penyiangan

Panen

4 TKDK perempuan org/jam/hari

Pengolahan lahan

Tanam

Penyulaman

Pemupukan

Penyiangan

Panen

Total

3. Pendapatan Usahatani Jahe Emprit

Total penerimaan - Total biaya eksplisit = Rp /ha/MT

4. Keuntungan Usahatani Jahe Emprit

Total penerimaan – (Total biaya eksplisit + total biaya implisit) =

Rp /ha/MT

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Lampiran 2. Peta Kabupaten Karanganyar

49

Lampiran 3. Data Responden Petani Jahe Emprit MItra

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Lampiran 4. Data Responden Petani Jahe Emprit Non MItra

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Lampiran 5. Data Usahatani Jahe Emprit Responden Petani Mitra (Rp/1000m2/MT)

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Lampiran 6. Usahatani Jahe Emprit Responden Petani Non Mitra (Rp/1000m2/MT)

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Lampiran 7. Usahatani Jahe Emprit Responden Petani Mitra (Rp/ha/MT)

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Lampiran 8. Usahatani Jahe Emprit Responden Petani Non Mitra (Rp/ha/MT)

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Lampiran 9. Alasan/Motivasi Petani Jahe Emprit Menjalin Kemitraan dan Tidak Menjalin Kemitraan

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Lampiran 10. Output SPSS Analisis Uji Beda Rata-rata Usahatani Jahe Emprit Petani Mitra dan Petani Non Mitra

status_kemitraan N Mean Std. Deviation Std. Error Mean

TR mitra 30 71000000.0000 13749608.14489 2510323.51260

non mitra 30 52800000.0000 20047185.71701 3660098.61057

biaya_benih mitra 30 .0000 .00000 .00000

non mitra 30 953333.3333 2047156.70497 373757.96869

biaya_pupuk_phonska mitra 30 80000.0000 304449.75804 55584.66670

non mitra 30 364166.6667 663020.88610 121050.49847

biaya_pupuk_urea mitra 30 41666.6667 228217.73229 41666.66667

non mitra 30 .0000 .00000 .00000

biaya_pupuk_organikpa

dat

mitra 30 4675000.0000 1770386.18425 323226.81620

non mitra 29 4389655.1724 2190579.64077 406780.42720

biaya_pupuk_organikcai

r

mitra 30 590333.3333 249820.39525 45610.75527

non mitra 30 93333.3333 242022.13255 44186.99380

biaya_pupuk_kandang mitra 30 819333.3333 1375427.03922 251117.47186

non mitra 30 1608333.3333 1804786.89798 329507.49850

biaya_dolomit mitra 30 57000.0000 32098.98484 5860.44602

non mitra 30 10000.0000 25930.94277 4734.32076

biaya_TKLK mitra 30 19211666.6667 10835340.35343 1978253.44327

non mitra 30 5003333.3333 9878825.60846 1803618.54247

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TEC mitra 30 25475000.0000 11536827.38914 2106326.86769

non mitra 30 12275833.3333 10330594.50866 1886099.88161

pajak_tanah mitra 30 138500.0000 115826.49033 21146.92717

non mitra 30 114833.3333 77197.50011 14094.27073

biaya_TKDK mitra 30 5551666.6667 5621379.80567 1026318.84129

non mitra 30 10649583.3333 4395117.82595 802435.05872

TIC mitra 30 5690166.6667 5636227.10736 1029029.57531

non mitra 30 10764416.6667 4403679.71296 803998.23827

TC mitra 30 31165166.6667 7802752.77279 1424581.23476

non mitra 30 23040250.0000 6680384.85818 1219665.82655

I mitra 30 45525000.0000 17558280.49079 3205688.76527

non mitra 30 40524166.6667 18203556.21203 3323499.45471

Profit mitra 30 39834833.3333 15631109.09446 2853837.01662

non mitra 30 29759750.0000 17952166.53312 3277602.18876

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Independent Samples Test

Levene's Test

for Equality of

Variances t-test for Equality of Means

F Sig. t df

Sig. (2-

tailed) Mean Difference

Std. Error

Difference

95% Confidence Interval of the

Difference

Lower Upper

TR Equal variances

assumed 13.295 .001 4.101 58 .000 18200000.00000 4438248.07520 9315881.22890 27084118.77110

Equal variances

not assumed

4.101 51.340 .000 18200000.00000 4438248.07520 9291278.19781 27108721.80219

biaya_benih Equal variances

assumed 31.190 .000 -2.551 58 .013 -953333.33333 373757.96869 -1.70149E6 -205175.47257

Equal variances

not assumed

-2.551 29.000 .016 -953333.33333 373757.96869 -1.71775E6 -188912.45679

biaya_pupuk

_phonska

Equal variances

assumed 16.223 .000 -2.133 58 .037 -284166.66667 133202.39620 -550800.23206 -17533.10127

Equal variances

not assumed

-2.133 40.709 .039 -284166.66667 133202.39620 -553232.80708 -15100.52625

biaya_pupuk

_urea

Equal variances

assumed 4.291 .043 1.000 58 .321 41666.66667 41666.66667 -41738.22851 125071.56184

Equal variances

not assumed

1.000 29.000 .326 41666.66667 41666.66667 -43551.23509 126884.56842

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Levene's Test

for Equality of

Variances

t-test for Equality of Means

F Sig. t df Sig. (2-


Std. Error

Difference


Difference

Lower Upper

biaya_pupuk

_organikpad

at

Equal variances

assumed 4.672 .035 .551 57 .584 285344.82759 517686.44645 -751304.40017 1321994.05534

Equal variances

not assumed

.549 53.809 .585 285344.82759 519563.17293 -756401.43973 1327091.09490

biaya_pupuk

_organikcair

Equal variances

assumed .223 .639 7.826 58 .000 497000.00000 63504.57793 369881.77604 624118.22396

Equal variances

not assumed

7.826 57.942 .000 497000.00000 63504.57793 369879.05582 624120.94418

biaya_pupuk

_kandang

Equal variances

assumed 3.464 .068 -1.904 58 .062 -789000.00000 414288.75950 -1.61829E6 40289.05337

Equal variances

not assumed

-1.904 54.189 .062 -789000.00000 414288.75950 -1.61953E6 41532.53302

biaya_dolom

it

Equal variances

assumed 3.903 .053 6.239 58 .000 47000.00000 7533.83174 31919.39728 62080.60272

Equal variances

not assumed

6.239 55.546 .000 47000.00000 7533.83174 31905.19660 62094.80340

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Levene's Test

for Equality of

Variances




Std. Error

Difference


Difference

Lower Upper

biaya_TKLK Equal variances

assumed .913 .343 5.307 58 .000 14208333.33333 2677036.89414 8849661.77664 19567004.89003

Equal variances

not assumed

5.307 57.512 .000 14208333.33333 2677036.89414 8848692.62087 19567974.04580

TEC Equal variances

assumed .717 .400 4.668 58 .000 13199166.66667 2827363.72562 7539583.26305 18858750.07028

Equal variances

not assumed

4.668 57.307 .000 13199166.66667 2827363.72562 7538125.17699 18860208.15635

pajak_tanah Equal variances

assumed .828 .367 .931 58 .356 23666.66667 25413.40190 -27203.78425 74537.11758

Equal variances

not assumed

.931 50.518 .356 23666.66667 25413.40190 -27364.68240 74698.01573

biaya_TKD

K

Equal variances

assumed 6.227 .015 -3.913 58 .000 -5097916.66667 1302778.71776 -7.70571E6 -2490121.72935

Equal variances

not assumed

-3.913 54.810 .000 -5097916.66667 1302778.71776 -7.70895E6 -2486886.75992

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Levene's Test

for Equality of

Variances




Std. Error

Difference


Difference

Lower Upper

TIC Equal variances

assumed 5.898 .018 -3.886 58 .000 -5074250.00000 1305877.11290 -7.68825E6 -2460252.95096

Equal variances

not assumed

-3.886 54.794 .000 -5074250.00000 1305877.11290 -7.69151E6 -2456992.73518

TC Equal variances

assumed .801 .375 4.332 58 .000 8124916.66667 1875371.00940 4370953.72790 11878879.60544

Equal variances

not assumed

4.332 56.655 .000 8124916.66667 1875371.00940 4369055.67109 11880777.66224

I Equal variances

assumed .953 .333 1.083 58 .283 5000833.33333 4617584.76752 -4.24227E6 14243933.49700

Equal variances

not assumed

1.083 57.925 .283 5000833.33333 4617584.76752 -4.24252E6 14244189.62652

Profit Equal variances

assumed 4.300 .043 2.318 58 .024 10075083.33333 4345924.73764 1375769.80123 18774396.86544

Equal variances

not assumed

2.318 56.923 .024 10075083.33333 4345924.73764 1372263.06440 18777903.60226

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Lampiran 11. Output SPSS Analisis Regresi Logit Faktor-faktor yang

Mempengaruhi Keputusan Petani Menjalin Kemitraan

Case Processing Summary

Unweighted Casesa N Percent

Selected Cases Included in Analysis 60 100.0

Missing Cases 0 .0

Total 60 100.0

Unselected Cases 0 .0

Total 60 100.0

a. If weight is in effect, see classification table for the total

number of cases.

Dependent Variable

Encoding

Original

Value Internal Value

non mitra 0

mitra 1

Block 0: Beginning Block

Iteration Historya,b,c

Iteration

-2 Log

likelihood

Coefficients

Constant

Step 0 1 83.178 .000

a. Constant is included in the model.

b. Initial -2 Log Likelihood: 83.178

c. Estimation terminated at iteration number 1

because parameter estimates changed by less

than .001.

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Classification Tablea,b

Observed

Predicted

status_kemitraan Percentage

Correct non mitra mitra

Step 0 status_kemitraan non mitra 0 30 .0

mitra 0 30 100.0

Overall Percentage 50.0

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 .000 .258 .000 1 1.000 1.000

Variables not in the Equation

Score df Sig.

Step 0 Variables usia 2.285 1 .131

tingkat_pendidikan 9.225 1 .002

lama_usahatani_jahe 3.129 1 .077

luas_lahan 9.312 1 .002

harga_jahe 8.088 1 .004

Overall Statistics 23.612 5 .000

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Block 1: Method = Enter

Iteration Historya,b,c,d

Iteration

-2 Log

likelihood

Coefficients

Constant usia

tingkat_pendidi

kan

lama_usahatani

_jahe luas_lahan harga_jahe

Step 1 1 56.668 -9.212 -.014 .082 -.097 2.892 .001

2 53.433 -12.359 -.024 .095 -.142 5.407 .002

3 52.976 -13.908 -.029 .101 -.167 6.854 .002

4 52.961 -14.285 -.030 .104 -.174 7.144 .002

5 52.961 -14.301 -.030 .104 -.174 7.155 .002

6 52.961 -14.301 -.030 .104 -.174 7.155 .002

a. Method: Enter

b. Constant is included in the model.

c. Initial -2 Log Likelihood: 83.178

d. Estimation terminated at iteration number 6 because parameter estimates changed by less than .001.

Omnibus Tests of Model Coefficients

Chi-square df Sig.

Step 1 Step 30.217 5 .000

Block 30.217 5 .000

Model 30.217 5 .000

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Model Summary

Step

-2 Log

likelihood

Cox & Snell R

Square

Nagelkerke R

Square

1 52.961a .396 .528

a. Estimation terminated at iteration number 6 because

parameter estimates changed by less than .001.

Hosmer and Lemeshow Test

Step Chi-square df Sig.

1 7.501 8 .484

Contingency Table for Hosmer and Lemeshow Test

status_kemitraan = non mitra status_kemitraan = mitra

Total Observed Expected Observed Expected

Step 1 1 6 5.900 0 .100 6

2 6 5.750 0 .250 6

3 5 5.207 1 .793 6

4 5 3.667 1 2.333 6

5 1 2.736 5 3.264 6

6 2 2.295 4 3.705 6

7 3 1.742 3 4.258 6

8 1 1.432 5 4.568 6

9 0 .911 6 5.089 6

10 1 .359 5 5.641 6

Classification Tablea

Observed

Predicted

status_kemitraan Percentage

Correct non mitra mitra

Step 1 status_kemitraan non mitra 23 7 76.7

mitra 2 28 93.3

Overall Percentage 85.0

a. The cut value is .500

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Variables in the Equation

B S.E. Wald df Sig. Exp(B)

Step 1a usia -.030 .036 .723 1 .395 .970

tingkat_pendidikan .104 .108 .928 1 .335 1.109

lama_usahatani_jahe -.174 .074 5.595 1 .018 .840

luas_lahan 7.155 3.423 4.370 1 .037 1.281

harga_jahe .002 .001 6.620 1 .010 1.002

Constant -14.301 5.996 5.689 1 .017 .000

a. Variable(s) entered on step 1: usia, tingkat_pendidikan, lama_usahatani_jahe, luas_lahan,

harga_jahe.

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Lampiran 12. Output SPSS Analisis Uji Beda Rata-rata Karakteristik Respoden, Produktivitas Jahe Emprit, Harga Jual Jahe Emprit

Petani Mitra dan Petani Non Mitra


usia mitra 30 52.83 10.970 2.003

non mitra 30 57.00 10.319 1.884

tingkat_pendidikan mitra 30 10.07 3.769 .688

non mitra 30 7.40 2.458 .449

pengalaman_usahatani_

jahe

mitra 30 5.40 4.014 .733

non mitra 30 8.80 9.622 1.757

luas_lahan mitra 30 .26000 .171404 .031294

non mitra 30 .13383 .124254 .022686

harga_jahe mitra 30 7500.00 .000 .000

non mitra 30 7033.33 850.287 155.241

produktivitas mitra 30 9466.67 1833.281 334.710

non mitra 30 7300.00 2036.732 371.855

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Independent Samples Test

Levene's Test

for Equality of

Variances


95% Confidence

Interval of the

Difference F Sig. T df Sig. (2-

tailed)

Mean

Difference

Std. Error

Difference Lower Upper

usia Equal variances assumed .132 .718 -1.515 58 .135 -4.167 2.750 -9.671 1.338

Equal variances not assumed -1.515 57.784 .135 -4.167 2.750 -9.671 1.338

tingkat_pendi

dikan

Equal variances assumed 14.238 .000 3.246 58 .002 2.667 .821 1.022 4.311

Equal variances not assumed 3.246 49.892 .002 2.667 .821 1.017 4.317

pengalaman_

usahatani_jah

e

Equal variances assumed 19.367 .000 -1.786 58 .079 -3.400 1.903 -7.210 .410

Equal variances not assumed -1.786 38.796 .082 -3.400 1.903 -7.251 .451

luas_lahan Equal variances assumed .175 .677 3.264 58 .002 .126167 .038652 .048797 .203536

Equal variances not assumed 3.264 52.884 .002 .126167 .038652 .048637 .203696

harga_jahe Equal variances assumed 74.215 .000 3.006 58 .004 466.667 155.241 155.919 777.414

Equal variances not assumed 3.006 29.000 .005 466.667 155.241 149.164 784.169

produktivitas Equal variances assumed 4.017 .050 4.331 58 .000 2166.667 500.306 1165.195 3168.139

Equal variances not assumed 4.331 57.369 .000 2166.667 500.306 1164.960 3168.373

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Lsmpiran 13. Dokumen Foto Penelitian

Gambar 1. Lahan Siap Tanam Gambar 2. Lahan Jahe

Gambar 3. Kegiatan Panen Jahe

Gambar 4. Kegiatan Sortasi Jahe Gambar 5. Pencucian Jahe

Gambar 6. Kegiatan Pengemasan Jahe Gambar 7. Jahe Bersih Siap Dikirim

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Gambar 8. Kegiatan Wawancara dengan Responden

analisis kemitraan petani jahe emprit dengan industri...

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