LAMPIRAN I. IDENTITAS RESPONDEN 1. 2. 3. 4. 5 ...eprints.undip.ac.id/57651/8/LAMPIRAN.pdf71 Lampiran 4. Penggunaan Faktor Produksi No Nama Luas Lahan Bibit Pupuk Kandang Pupuk Cair

65

LAMPIRAN

Lampiran 1. Kuesioner Penelitian

I. IDENTITAS RESPONDEN

1. Nama : ..................................................................................

2. Tempat Tanggal Lahir : ..................................................................................

3. JenisKelamin :1. Laki-laki 2. Perempuan

4. Usia : .................................................................................

5. Riwayat Pendidikan :

SD : .............................................

SMP : ..............................................

SMA : ..............................................

Perguruan Tinggi : ..............................................

6. Alamat Tempat Tinggal : ..................................................................................

7. Jumlah Tanggungan : ..................................................................................

8. Pengalaman Usahatani : ..................................................................................

II. GAMBARAN UMUM KELOMPOK TANI

1. Nama Kelompok Tani : ..................................................................................

2. Alamat Kelompok Tani : ..................................................................................

III. FAKTOR-FAKTOR PRODUKSI

a. Produksi

Luas Lahan (m2) Produksi (kg) Harga (Rp)

66

b. Luas Lahan

Luas Lahan

(m2)

Status

Kepemilikan

Nilai Sewa (Rp) PBB (Rp)

c. Benih

Luas Lahan (m2) SumberBenih Jumlah Benih (kg) Harga (Rp)

d. Pupuk

JenisPupuk SumberPupuk Jumlah Pupuk

Organik (kg)

Harga Pupuk

Organik (Rp)

Padat

Cair

e. Pestisida

JenisPestisida SumberPestisida Jumlah Pestisida

Organik (liter)

Harga Pestisida

Organik (Rp)

67

f. Tenaga Kerja

JenisPekerjaan Jumlah (HOK) Upah (Rp)

Tenaga kerja Jam Hari

Penyiapan lahan

Penanaman

Penyiraman

Pemupukan

Penyemprotan

Penyiangan

Panen

g. Permasalahan Usahatani

No. Permasalahan Usahatani Cabai Keriting Yang ditemukan

1

2

3

4

5

68

Lampiran 2. Identitas Responden

N0 Nama Kelompok Tani Umur Pendidikan Pengalaman

1 Suradi Tranggulasi 1 55 SD 30

2 Sumar Tranggulasi 1 34 SD 20

3 Poyo Tranggulasi 3 55 SD 30

4 Supar Tranggulasi 2 52 SD 30

5 Wahab Tranggulasi 3 38 SMP 16

6 Wardi Tranggulasi 4 65 SD 37

7 Harto Slamet Tranggulasi 5 60 SD 48

8 Nyono Tranggulasi 2 61 SMP 30

9 Siti Tranggulasi 3 42 S1 20

10 Imronah Bogasari 35 SMP 15

11 Jumari Tranggulasi1 50 SD 30

12 Ngatimen Tranggulasi 2 47 SMP 17

13 Bejo Tranggulasi 2 60 SD 35

14 Slamet Tranggulasi 3 28 SMA 6

15 Sri Jumiati Bogasari 38 S1 16

16 Rebo Tranggulasi 2 38 SMP 30

17 Supardi Tranggulasi 3 59 SD 17

18 Yahminingsih Bogasari 39 SMP 10

19 Pardi In Tranggulasi 1 45 SD 20

20 Suryanti Bogasari 36 SMP 18

21 Parman Tranggulasi 2 47 SMP 18

22 Supardi GP Tranggulasi 5 74 SD 55

23 Mujar Tranggulasi 5 40 SMP 30

24 Harun Tranggulasi 4 42 SMA 20

25 Sumadi Tranggulasi 4 56 SD 25

26 Tresno Jumari Tranggulasi 1 47 SD 30

27 Jumari Surani Bogasari 53 SMP 27

28 Nurhayati Bogasari 41 SMP 20

29 Mus Tranggulasi 2 31 SMP 6

30 Wikan Tranggulasi 3 41 SD 18

31 Solihin Tranggulasi 2 44 SMP 21

32 Jumini Bogasari 45 SD 20

33 Eni Bogasari 38 SMA 10

34 Rianto Tranggulasi 1 55 SD 30

35 Zuriah Bogasari 45 SMP 19

36

Pitoyo

Ngatimin Tranggulasi 4 50 S1 35

37 Wahyudi Tranggulasi 4 43 SMA 20

38 Yudi Purnomo Tranggulasi 3 34 SMA 20

39 Saderi Tranggulasi 5 36 SD 35

40 jumadi Tranggulasi 1 50 SD 30

41 Ngatemin Tranggulasi 2 43 SD 20

69

70

Lampiran 3. Produksi Cabai Keriting Organik

No Nama Produksi (kg)

1 Suradi 600

2 Sumar 483

3 Poyo 1200

4 Supar 950

5 Wahab 350

6 Wardi 2000

7 Harto Slamet 400

8 Nyono 300

9 Siti 600

10 Imronah 550

11 Jumari 750

12 Ngatimen 770

13 Bejo 710

14 Slamet 1100

15 Sri Jumiati 300

16 Rebo 1300

17 Supardi 1000

18 Yahminingsih 1000

19 Pardi In 1100

20 Suryanti 1200

21 Parman 1150

22 Supardi GP 900

23 Mujar 1200

24 Harun 400

25 Sumadi 570

26 Tresno Jumari 1130

27 Jumari Surani 900

28 Nurhayati 1100

29 Mus 1000

30 Wikan 1100

31 Solihin 500

32 Jumini 500

33 Eni 1700

34 Rianto 1050

35 Zuriah 700

36 Pitoyo Ngatimin 1190

37 Wahyudi 1300

38 Yudi Purnomo 450

39 Saderi 1750

40 jumadi 400

41 Ngatemin 1000

Rata-rata 893,976

71

Lampiran 4. Penggunaan Faktor Produksi

No Nama Luas

Lahan

Bibit Pupuk

Kandang

Pupuk

Cair

Pestisida Tenaga

Kerja

1 Suradi 0,110 2300 9 4 0,7 180,9

2 Sumar 0,080 1600 3 3,5 0,5 241,9

3 Poyo 0,200 3800 30 6 0,9 201,8

4 Supar 0,120 2100 7,5 4 0,6 145,2

5 Wahab 0,070 1400 4,5 3 0,45 80,9

6 Wardi 0,360 4800 18 7 0,3 390,6

7 Harto Slamet 0,076 1500 4,5 3,5 0,5 110,3

8 Nyono 0,056 1200 4,5 3 0,35 133,7

9 Siti 0,110 2100 9 5 0,6 122,9

10 Imronah 0,090 1950 9 4,5 0,55 88,9

11 Jumari 0,120 2100 9 5 0,65 124,1

12 Ngatimen 0,112 2100 7,5 5 0,6 130,8

13 Bejo 0,110 2200 7,5 5 0,6 155,9

14 Slamet 0,200 2300 7,5 5 0,65 122,3

15 Sri Jumiati 0,065 1200 4,5 3 0,4 86,0

16 Rebo 0,230 4200 16,5 6,5 0,9 183,3

17 Supardi 0,110 1900 15 5 0,6 168

18 Yahminingsih 0,110 2000 15 5 0,6 148,8

19 Pardi In 0,240 3650 16,5 6,5 0,75 234,6

20 Suryanti 0,230 3800 16,5 6,5 0,8 173,5

21 Parman 0,160 2800 10,5 6 0,65 133,9

22 Supardi GP 0,120 2200 10,5 6 0,6 111,5

23 Mujar 0,230 3100 15 6,5 0,75 173,5

24 Harun 0,075 1300 4,5 4 0,5 104

25 Sumadi 0,090 1800 7,5 4,5 0,55 147,5

26 Tresno Jumari 0,170 2400 10,5 6 0,65 172,4

27 Jumari Surani 0,120 2200 10,5 6 0,6 123,6

28 Nurhayati 0,160 2400 12 6 0,65 143,2

29 Mus 0,150 2100 10,5 6 0,6 203,4

30 Wikan 0,160 2300 10,5 5,5 0,65 150,3

31 Solihin 0,090 1800 6 5 0,55 134,6

32 Jumini 0,080 1700 6 5 0,55 109,1

33 Eni 0,320 2600 13,5 6,5 0,8 214,2

34 Rianto 0,140 2300 12 6 0,6 158,1

35 Zuriah 0,110 2000 10,5 6 0,6 108,1

36 Pitoyo Ngatimin 0,200 2300 15 6,5 0,75 164,3

37 Wahyudi 0,255 4100 16,5 7 0,95 146,8

38 Yudi Purnomo 0,090 1800 6 5 0,55 93,5

39 Saderi 0,340 4000 15 7 0,8 336,9

40 jumadi 0,070 1600 3 4 0,5 115,1

41 Ngatemin 0,160 2300 10,5 6 0,6 156,1

72

73

74

75

Lampiran 5. Harga Faktor Produksi

No Variabel Nilai

-------------------(Rp)------------

1 Sewa Lahan/ha 2.500.000

2 Benih/batang 1.500

3 Upah Tenaga Kerja/HOK:

Penyiapan Lahan

Penanaman

Pengajiran

Pemupukan

Penyemprotan

Penyiraman

Penyiangan

Panen

35.000

25.000

25.000

25.000

25.000

25.000

25.000

35.000

4 Pupuk Kandang/ton 167.000

5 Pupuk Cair/liter 30.000

6 Pestisida/liter 60.000

76

Lampiran 6. Perhitungan Efisiensi Ekonomi

Rumus Perhitungan Efisiensi Ekonomi = NPMxi

Pxi

Dimana : NPM = bi . Ῡ. Py

χi

1. Luas lahan

= 0,560 . 893,976 . 20.000

0,1

= 100.125.312

Efisiensi Ekonomi = NPMxi

Pxi

= 100.125.312

2.500.000

= 40,05

2. Pupuk Kandang

= 0,195 . 893,976 . 20.000

2,634

= 1.323.654,7


Pxi

= 1.323.654,7

No Variabel Bi

Harga

Cabai

Keriting

Produksi

Rata-Rata

(Ῡ)

Faktor

Produksi

Rata-Rata

(Xi)

Harga

Faktor

Produksi

(Pxi)

1 Luas

Lahan 0,560 Rp. 20.000 893,976 0,1 2.500.000

2 Pupuk

Kandang

0,195 Rp. 20.000 893,976 2,634 280.000

3 Pupuk

Cair

0,592 RP. 20.000 893,976 3,520 30.000

4 Bibit -0,080 Rp. 20.000 893,976 2074 1.500

5 Pestisida 0,098 Rp. 20.000 893,976 0,414 60.000

6 Tenaga

Kerja

0,129 Rp. 20.000 893,976 104,4 220.000

77

280.000

= 4,727

3. Pupuk Cair

= 0,592 . 893,976 . 20.000

3,52

= 3.007.010,2


Pxi

= 3.007.010,2

30.000

= 100,23

4. Bibit

= -0,080 . 893,976 . 20.000

2074

= -689,663


Pxi

= -689,663

1.500

= -0,459

5. Pestisida

= 0,098 . 893,976 . 20.000

0,414

= 4.232.350


Pxi

= 4.232.350

60.000

= 70,539

78

6. Tenaga Kerja

= 0,129 . 893,976 . 20.000

104,4

= 22.092,51


Pxi

= 22.092,51

220.000

= 0,1

79

Lampiran 7. Efisiensi Teknis.

No Variabel Koefisien

1 Konstanta 7,17240

2 Lahan 0,55864

3 Bibit -0,07900

4 Pupuk Kandang 0,19456

5 Pupuk Cair 0,58602

6 Pestisida 0,09195

7 Tenaga Kerja 0,12946

8 Sigma Squared 0,02224

9 Gamma 0,05

10 Log likelihood 23,67621

11 Mean Tehnical eff 0,999736

12 Df 34

13 N 41

14 Return to Scale 1,494

80

Lampiran 8. Output Software SPSS (Versi 16)

NPar Tests

One-Sample Kolmogorov-Smirnov Test

X1 X2 X3 X4 X5 X6 Y

N 41 41 41 41 41 41 41

Normal Parametersa,,b Mean -2.4283 7.5781 .8971 1.2321 -.9078 4.5896 6.6860

Std. Deviation .47877 .34883 .38082 .24085 .23377 .33398 .49154

Most Extreme

Differences

Absolute .142 .126 .172 .202 .168 .095 .162

Positive .142 .126 .096 .100 .136 .095 .089

Negative -.074 -.125 -.172 -.202 -.168 -.053 -.162

Kolmogorov-Smirnov Z .907 .807 1.103 1.296 1.079 .609 1.036

Asymp. Sig. (2-tailed) .383 .533 .175 .070 .195 .852 .233

a. Test distribution is Normal.

b. Calculated from data.

Regression

Variables Entered/Removed

Model Variables Entered Variables Removed Method

1 X6, X5, X3, X4, X2,

X1a

. Enter

a. All requested variables entered.

Model Summaryb

Model R R Square Adjusted R Square

Std. Error of the

Estimate Durbin-Watson

1 .961a .923 .910 .14754 1.944

a. Predictors: (Constant), X6, X5, X3, X4, X2, X1

b. Dependent Variable: Y

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 8.924 6 1.487 68.328 .000a

Residual .740 34 .022

Total 9.665 40


81

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 8.924 6 1.487 68.328 .000a

Residual .740 34 .022

Total 9.665 40


b. Dependent Variable: Y

Coefficientsa

Model

Unstandardized

Coefficients

Standardized

Coefficients

t Sig.

Collinearity Statistics

B Std. Error Beta Tolerance VIF

1 (Constant) 7.242 1.361 5.323 .000

X1 .560 .135 .546 4.141 .000 .130 7.716

X2 -.080 .150 -.057 -.530 .600 .198 5.063

X3 .195 .091 .151 2.149 .039 .455 2.198

X4 .592 .215 .290 2.749 .010 .202 4.943

X5 .098 .137 .046 .714 .480 .534 1.873

X6 .129 .109 .088 1.183 .245 .408 2.451

a. Dependent Variable: Y

Collinearity Diagnosticsa

Mode

l

Dime

nsion

Eigenvalu

e

Condition

Index

Variance Proportions

(Constant

) X1 X2 X3 X4 X5 X6

1 1 6.735 1.000 .00 .00 .00 .00 .00 .00 .00

2 .198 5.839 .00 .01 .00 .18 .00 .03 .00

3 .046 12.048 .00 .00 .00 .38 .03 .28 .00

4 .015 21.128 .00 .14 .00 .40 .08 .57 .00

5 .005 36.676 .00 .10 .00 .03 .50 .08 .20

6 .001 84.976 .05 .36 .17 .01 .37 .04 .75

7 .000 191.527 .95 .40 .83 .00 .02 .00 .05


82

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value 5.7459 7.6231 6.6860 .47235 41

Std. Predicted Value -1.990 1.984 .000 1.000 41

Standard Error of Predicted

Value

.030 .137 .058 .020 41

Adjusted Predicted Value 5.7582 7.7681 6.6951 .47720 41

Residual -.22598 .41428 .00000 .13603 41

Std. Residual -1.532 2.808 .000 .922 41

Stud. Residual -1.693 3.013 -.023 .996 41

Deleted Residual -.27604 .47709 -.00907 .16076 41

Stud. Deleted Residual -1.743 3.467 -.007 1.049 41

Mahal. Distance .725 33.718 5.854 5.625 41

Cook's Distance .000 .197 .028 .043 41

Centered Leverage Value .018 .843 .146 .141 41


83

T-Test

One-Sample Statistics

N Mean Std. Deviation Std. Error Mean

x1 41 -2.4283 .47877 .07477

x2 41 7.5781 .34883 .05448

x3 41 .8971 .38082 .05947

x4 41 1.2321 .24085 .03761

x5 41 -.9078 .23377 .03651

x6 41 4.5896 .33398 .05216

One-Sample Test

Test Value = 0

95% Confidence Interval of the

Difference

t df Sig. (2-tailed) Mean Difference Lower Upper

x1 -32.476 40 .000 -2.42827 -2.5794 -2.2772

x2 139.104 40 .000 7.57811 7.4680 7.6882

x3 15.085 40 .000 .89714 .7769 1.0173

x4 32.756 40 .000 1.23209 1.1561 1.3081

x5 -24.866 40 .000 -.90781 -.9816 -.8340

x6 87.993 40 .000 4.58963 4.4842 4.6950

84

Lampiran 9. Ouput Software Frontier (Versi 4.1c)

Output from the program FRONTIER (Version 4.1c)

instruction file = him-ins.txt

data file = him-dta.txt

Error Components Frontier (see B&C 1992)

The model is a production function

The dependent variable is logged

the ols estimates are :

coefficient standard-error t-ratio

beta 0 0.71724029E+01 0.13709992E+01 0.52315152E+01

beta 1 0.55868477E+00 0.13648118E+00 0.40934931E+01

beta 2 -0.70900290E-01 0.15189161E+00 -0.46678213E+00

beta 3 0.19456698E+00 0.91888653E-01 0.21174212E+01

beta 4 0.58602327E+00 0.21660228E+00 0.27055268E+01

beta 5 0.91953842E-01 0.13838542E+00 0.66447639E+00

beta 6 0.12946779E+00 0.11096912E+00 0.11667011E+01

sigma-squared 0.22245787E-01

log likelihood function = 0.23676212E+02

the estimates after the grid search were :

beta 0 0.71970305E+01

beta 1 0.55868477E+00

beta 2 -0.70900290E-01

beta 3 0.19456698E+00

beta 4 0.58602327E+00

beta 5 0.91953842E-01

beta 6 0.12946779E+00

sigma-squared 0.19054241E-01

gamma 0.50000000E-01

mu is restricted to be zero

eta is restricted to be zero

iteration = 0 func evals = 20 llf = 0.23658430E+02

0.71970305E+01 0.55868477E+00-0.70900290E-01 0.19456698E+00

0.58602327E+00

0.91953842E-01 0.12946779E+00 0.19054241E-01 0.50000000E-01

gradient step


0.71965361E+01 0.55867160E+00-0.72095476E-01 0.19390076E+00

0.58524561E+00

0.89916782E-01 0.12997507E+00 0.18725523E-01 0.23198641E-01


85

0.71801255E+01 0.55785647E+00-0.70990897E-01 0.19477518E+00

0.58580119E+00

0.92681931E-01 0.12973475E+00 0.18525029E-01 0.65719655E-02


0.71784950E+01 0.55918260E+00-0.70804544E-01 0.19444958E+00

0.58590252E+00

0.91515461E-01 0.12917758E+00 0.18465604E-01 0.16788130E-02


0.71744665E+01 0.55870749E+00-0.70834217E-01 0.19454848E+00

0.58600412E+00

0.91891265E-01 0.12944216E+00 0.18453148E-01 0.47651267E-03


0.71732101E+01 0.55865629E+00-0.70871062E-01 0.19456778E+00

0.58602994E+00

0.91958094E-01 0.12948465E+00 0.18449085E-01 0.11926643E-03


0.71732276E+01 0.55867804E+00-0.70911752E-01 0.19457224E+00

0.58602916E+00

0.91970332E-01 0.12947779E+00 0.18448317E-01 0.52504000E-04


0.71730474E+01 0.55870271E+00-0.70899228E-01 0.19456201E+00

0.58601325E+00

0.91936871E-01 0.12945168E+00 0.18448006E-01 0.23908606E-04


0.71728553E+01 0.55869029E+00-0.70900182E-01 0.19456532E+00

0.58602047E+00

0.91948368E-01 0.12946271E+00 0.18447902E-01 0.14716607E-04


0.71727134E+01 0.55868834E+00-0.70900177E-01 0.19456590E+00

0.58602146E+00

0.91950266E-01 0.12946450E+00 0.18447810E-01 0.69589887E-05

pt better than entering pt cannot be found


0.71726635E+01 0.55868404E+00-0.70900439E-01 0.19456723E+00

0.58602367E+00

0.91954671E-01 0.12946850E+00 0.18447794E-01 0.59031545E-05

the final mle estimates are :

coefficient standard-error t-ratio

beta 0 0.71726635E+01 0.12189277E+01 0.58844045E+01

beta 1 0.55868404E+00 0.12259283E+00 0.45572325E+01

beta 2 -0.70900439E-01 0.12801011E+00 -0.55386595E+00

beta 3 0.19456723E+00 0.83394397E-01 0.23330972E+01

beta 4 0.58602367E+00 0.19649028E+00 0.29824563E+01

beta 5 0.91954671E-01 0.12394899E+00 0.74187511E+00

beta 6 0.12946850E+00 0.10106957E+00 0.12809839E+01

sigma-squared 0.18447794E-01 0.42159315E-02 0.43757338E+01

gamma 0.59031545E-05 0.14835876E-01 0.39789727E-03

86

mu is restricted to be zero

eta is restricted to be zero

log likelihood function = 0.23676212E+02

the likelihood value is less than that obtained

using ols! - try again using different starting values

number of iterations = 48

(maximum number of iterations set at : 100)

number of cross-sections = 41

number of time periods = 1

total number of observations = 41

thus there are: 0 obsns not in the panel

covariance matrix :

0.14857847E+01 0.11156930E+00 -0.11213158E+00 -0.15175543E-03 -0.14235794E-

01

-0.98349195E-02 -0.52604768E-01 0.44414206E-04 0.54774040E-02

0.11156930E+00 0.15029003E-01 -0.42712674E-02 -0.27924293E-02 -0.97719282E-

02

-0.48071680E-02 -0.62648375E-02 0.15763850E-05 0.16554297E-03

-0.11213158E+00 -0.42712674E-02 0.16386587E-01 -0.94654964E-03 -0.10557160E-

01

-0.53664479E-03 -0.18682890E-02 0.33179732E-05 0.21391330E-04

-0.15175543E-03 -0.27924293E-02 -0.94654964E-03 0.69546255E-02 -0.16468423E-

02

0.18935540E-02 -0.69204759E-03 -0.58341988E-06 -0.54344514E-04

-0.14235794E-01 -0.97719282E-02 -0.10557160E-01 -0.16468423E-02 0.38608431E-

01

-0.46163596E-02 0.39704600E-02 -0.18405145E-05 -0.87510529E-04

-0.98349195E-02 -0.48071680E-02 -0.53664479E-03 0.18935540E-02 -0.46163596E-

02

0.15363352E-01 0.35108998E-02 -0.33194517E-05 -0.17859086E-03

-0.52604768E-01 -0.62648375E-02 -0.18682890E-02 -0.69204759E-03 0.39704600E-

02

0.35108998E-02 0.10215058E-01 -0.19424116E-05 -0.15715123E-03

0.44414206E-04 0.15763850E-05 0.33179732E-05 -0.58341988E-06 -0.18405145E-

05

-0.33194517E-05 -0.19424116E-05 0.17774078E-04 0.27508517E-05

0.54774040E-02 0.16554297E-03 0.21391330E-04 -0.54344514E-04 -0.87510529E-

04

-0.17859086E-03 -0.15715123E-03 0.27508517E-05 0.22010322E-03

87

technical efficiency estimates :

firm eff.-est.

1 0.99973675E+00

2 0.99973655E+00

3 0.99973662E+00

4 0.99973765E+00

5 0.99973652E+00

6 0.99973669E+00

7 0.99973667E+00

8 0.99973665E+00

9 0.99973660E+00

10 0.99973688E+00

11 0.99973689E+00

12 0.99973689E+00

13 0.99973672E+00

14 0.99973709E+00

15 0.99973656E+00

16 0.99973667E+00

17 0.99973739E+00

18 0.99973744E+00

19 0.99973634E+00

20 0.99973652E+00

21 0.99973688E+00

22 0.99973698E+00

23 0.99973652E+00

24 0.99973627E+00

25 0.99973692E+00

26 0.99973679E+00

27 0.99973706E+00

28 0.99973688E+00

29 0.99973671E+00

30 0.99973699E+00

31 0.99973646E+00

32 0.99973656E+00

33 0.99973673E+00

34 0.99973702E+00

35 0.99973655E+00

36 0.99973668E+00

37 0.99973639E+00

38 0.99973639E+00

39 0.99973657E+00

40 0.99973649E+00

41 0.99973690E+00

mean efficiency = 0.99973675E+00

88

Lampiran 10. Peta Kecamatan Getasan

89

Lampiran 11. Dokumentasi Penelitian

90

RIWAYAT HIDUP

Firza Alamsyah adalah anak pertama dari dua

bersaudara dari pasangan suami istri Suharyanto dan

Tumiyem yang lahir di Kabupaten Langkat 31 Maret

1995. Penulis bertempat tinggal di Jl. Sei Babalan No 7

Kelurahan Pujidadi Kecamatan Binjai Selatan Kota

Binjai Sumatera Utara. Penulis memiliki satu adik

perempuan bernama Aisiyah Rahma. Penulis

menyelesaikan pendidikan di SD N 050661 Kota Stabat

lulus tahun 2007, menyelesaikan pendidikan di SMP N 8

Binjai lulus tahun 2010, dan menyelesaikan pendidikan di SMA N 2 Binjai pada

tahun 2013, dan tahun 2013 penulis diterima menjadi mahasiswa S1 Program

Studi Agribisnis Jurusan Pertanian di Universitas Diponegoro sampai dengan

sekarang. Sampai dengan penulisan skripsi ini penulis masih terdaftar sebagai

mahasiswa S1 Program Studi Agribisnis Jurusan Pertanian Universitas

Diponegoro Semarang. Penulis telah melakukan Praktek Kerja Lapangan (PKL)

dengan Judul “Perhitungan Break Event Point Pada Suahatani Perkebunan Jambu

Air Deli Hijau CV. Mulia Tani Kelurahan Payaroba, Kecamatan Binjai Barat,

Kota Binjai, Sumatera Utara”.

Documents

LAMPIRAN I. IDENTITAS RESPONDEN 1. 2. 3. 4. 5 ...eprints.undip.ac.id/57651/8/LAMPIRAN.pdf71 Lampiran 4. Penggunaan Faktor Produksi No Nama Luas Lahan Bibit Pupuk Kandang Pupuk Cair