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1 Dengan berpartisipasi pada pertanian di desa saudara, produksi hasil pertanian di desa saudara akan meningkat 2 Dengan berpartisipasi pada pertanian di desa saudara, diri saudara menjadi diperhitungkan oleh masyarakat desa dan lebih dikenal oleh masyarakat desa

3 Dengan berpartisipasi pada pertanian di desa saudara, desa saudara akan menjadi penerus di sektor pertanian 4 Saudara berpartisipasi pada pertanian di desa saudara

karena saudara merasa bertanggung jawab terhadap pertanian di desa saudara dan dimanfaatkan untuk kemajuan hasil pertanian 7 Saudara belajar dengan membaca dan menulis serta

meningkatkan pendidikan saudara di bidang pertanian karena ingin membangun pertanian di desa saudara 8 Saudara memiliki motivasi yang tinggi untuk bertani di

desa saudara dibandingkan dengan bekerja di luar pedesaan

9 Saudara merasa pekerjaan sebagai petani tidak menjamin masa depan saudara

10 Saudara akan terlibat dalam pembangunan pertanian jika saudara tidak dapat terlibat dalam sektor lain selain pertanian

Lampiran 2

Data Normalitas X1

Descriptives

Notes

Output Created 05-SEP-2015 20:17:17

Comments

Definition of Missing User defined missing values are treated as missing.

Cases Used All non-missing data are used.

Syntax

DESCRIPTIVES VARIABLES=skor /STATISTICS=MEAN STDDEV VARIANCE MIN MAX.

Resources Processor Time 00:00:00,02

Elapsed Time 00:00:00,01

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation Variance

skor 96 5 25 13.91 5.380 28.949

Valid N (listwise) 96

Notes

Output Created 05-SEP-2015 20:17:48

Comments

Definition of Missing User-defined missing values are treated as missing.

Cases Used

Statistics for each test are based on all cases with valid data for the variable(s) used in that test.

Syntax

Number of Cases Alloweda 196608

a. Based on availability of workspace memory.

One-Sample Kolmogorov-Smirnov Test skor

N 96

Normal Parametersa,b Mean 13.91

Std. Deviation 5.380

Asymp. Sig. (2-tailed) .579

a. Test distribution is Normal.

b. Calculated from data.

Regression

Notes

Output Created 05-SEP-2015 20:18:18

Comments

Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics are based on cases with no missing values for any variable used.

Syntax

REGRESSION /MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10)

Memory Required 1356 bytes Additional Memory

Required for Residual Plots

656 bytes

Variables Entered/Removeda Model Variables Entered Variables

Removed

Method

1 skorb . Enter

a. Dependent Variable: responden b. All requested variables entered.

Model Summaryb

Residual 67519.345 94 718.291

Total 73720.000 95

a. Dependent Variable: responden b. Predictors: (Constant), skor

Coefficientsa

Model Unstandardized Coefficients Standardized

Coefficients

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value 35.13 65.16 48.50 8.079 96

Residual -48.145 52.867 .000 26.660 96

Std. Predicted Value -1.655 2.062 .000 1.000 96

Std. Residual -1.796 1.973 .000 .995 96

a. Dependent Variable: responden

Lampiran 3

Data Normalitas X2

Descriptives

Notes

Output Created 05-SEP-2015 20:20:53

Comments

Definition of Missing User defined missing values are treated as missing.

Cases Used All non-missing data are used.

Syntax

DESCRIPTIVES VARIABLES=skor /STATISTICS=MEAN STDDEV VARIANCE MIN MAX.

Resources Processor Time 00:00:00,00

Elapsed Time 00:00:00,01

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation Variance

skor 96 5 25 14.22 4.437 19.688

Valid N (listwise) 96

Notes

Output Created 05-SEP-2015 20:21:16

Comments

Definition of Missing User-defined missing values are treated as missing.

Cases Used

Statistics for each test are based on all cases with valid data for the

variable(s) used in that test.

Syntax

Number of Cases Alloweda 196608

a. Based on availability of workspace memory.

One-Sample Kolmogorov-Smirnov Test skor

N 96

Normal Parametersa,b Mean 14.22

Std. Deviation 4.437

Asymp. Sig. (2-tailed) .932

a. Test distribution is Normal.

b. Calculated from data.

Regression

Notes

Output Created 05-SEP-2015 20:21:46

Comments

Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics are based on cases with no missing values for any variable used.

Syntax

Memory Required 1356 bytes Additional Memory Required for

Residual Plots

656 bytes

Variables Entered/Removeda Model Variables Entered Variables

Removed

Method

1 skorb . Enter

a. Dependent Variable: responden b. All requested variables entered.

Model Summaryb

Residual 67743.228 94 720.673

Total 73720.000 95

a. Dependent Variable: responden b. Predictors: (Constant), skor

Coefficientsa

Model Unstandardized Coefficients Standardized

Coefficients

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value 32.02 67.77 48.50 7.932 96

Residual -49.472 45.891 .000 26.704 96

Std. Predicted Value -2.078 2.430 .000 1.000 96

Std. Residual -1.843 1.709 .000 .995 96

a. Dependent Variable: responden

Lampiran 4

Normalitas Data X3

Descriptives

Notes

Output Created 05-SEP-2015 20:23:20

Comments

Missing Value Handling Definition of Missing User defined missing values are treated as missing.

Cases Used All non-missing data are used.

Syntax

DESCRIPTIVES VARIABLES=skor

/STATISTICS=MEAN STDDEV VARIANCE MIN MAX.

Resources Processor Time 00:00:00,00

Elapsed Time 00:00:00,01

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation Variance

Skor 96 5 25 13.68 5.137 26.389

Valid N (listwise) 96

Notes

Output Created 05-SEP-2015 20:23:35

Comments

Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics for each test are based on all cases with valid data for the variable(s) used in that test.

Syntax

Number of Cases Alloweda 196608

a. Based on availability of workspace memory.

One-Sample Kolmogorov-Smirnov Test skor

N 96

Normal Parametersa,b Mean 13.68

Std. Deviation 5.137

Asymp. Sig. (2-tailed) .403

a. Test distribution is Normal.

b. Calculated from data.

Regression

Notes

Output Created 05-SEP-2015 20:24:04

Comments

Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics are based on cases with no missing values for any variable used.

Syntax

REGRESSION /MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10)

Memory Required 1476 bytes

Additional Memory Required for Residual Plots

656 bytes

Variables Entered/Removeda Model Variables Entered Variables

Removed

Method

1 skorb . Enter

a. Dependent Variable: responden b. All requested variables entered.

Model Summaryb

Regression 14252.355 1 14252.355 22.529 .000b

Residual 59467.645 94 632.635

Total 73720.000 95

a. Dependent Variable: responden b. Predictors: (Constant), skor

Coefficientsa

Model Unstandardized Coefficients Standardized

Coefficients

t Sig.

B Std. Error Beta

1 (Constant) 15.889 7.334 2.166 .033

skor 2.384 .502 .440 4.746 .000

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value 27.81 75.50 48.50 12.248 96

Residual -49.960 42.652 .000 25.019 96

Std. Predicted Value -1.689 2.204 .000 1.000 96

Std. Residual -1.986 1.696 .000 .995 96

a. Dependent Variable: responden

Charts

Lampiran 5

Uji Multikolinieritas Regression

Notes

Output Created 02-OCT-2015 21:36:57

Comments

Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics are based on cases with no missing values for any variable used.

Syntax

REGRESSION

/DESCRIPTIVES MEAN STDDEV CORR SIG N

Memory Required 1948 bytes

Additional Memory Required for

Variables Entered/Removeda Model Variables Entered Variables

Removed

Method

1 X3, X1, X2b . Enter

a. Dependent Variable: Y

b. All requested variables entered.

Model Summary

a. Predictors: (Constant), X3, X1, X2

ANOVAa

b. Predictors: (Constant), X3, X1, X2

Coefficientsa Model Unstandardized Coefficients Standardized

Coefficients Model Dimension Eigenvalue Condition

Index

Lampiran 6

Uji Heterokedasitas Regression

Notes

Output Created 02-OCT-2015 21:40:25

Comments

Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics are based on cases with no missing values for any variable used.

Syntax

REGRESSION

/DESCRIPTIVES MEAN STDDEV CORR SIG N

Memory Required 1956 bytes Additional Memory Required for

Variables Entered/Removeda Model Variables Entered Variables

Removed

Method

1 X3, X1, X2b . Enter

a. Dependent Variable: Y

b. All requested variables entered.

Model Summaryb

a. Predictors: (Constant), X3, X1, X2 b. Dependent Variable: Y

b. Predictors: (Constant), X3, X1, X2

Coefficientsa Model Unstandardized Coefficients Standardized

Coefficients

t Sig. Collinearity Statistics

B Std. Error Beta Tolerance VIF Model Dimension Eigenvalue Condition

Index

Predicted Value 37.8748 58.5102 47.0938 4.68141 96

Std. Predicted Value -1.969 2.439 .000 1.000 96

Standard Error of Predicted Value

.698 2.135 1.219 .318 96

Adjusted Predicted Value 38.1076 58.1337 47.1017 4.68263 96

Residual -10.13278 18.71243 .00000 6.07165 96

Std. Residual -1.642 3.033 .000 .984 96

Stud. Residual -1.683 3.095 -.001 1.006 96

Deleted Residual -10.64653 19.49103 -.00795 6.34450 96

Stud. Deleted Residual -1.701 3.252 .002 1.017 96

Mahal. Distance .226 10.383 2.969 2.092 96

Cook's Distance .000 .100 .011 .017 96

Centered Leverage Value .002 .109 .031 .022 96

a. Dependent Variable: Y

Charts

Lampiran 7

Uji Koefisien Determinasi (R2) Regression

Notes

Output Created 02-OCT-2015 21:59:24

Comments

Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics are based on cases with no missing values for any variable used.

Syntax

REGRESSION /MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10)

Memory Required 1956 bytes Additional Memory Required for

b. All requested variables entered.

Model Summaryb

a. Predictors: (Constant), X3, X1, X2 b. Dependent Variable: Y

b. Predictors: (Constant), X3, X1, X2

Coefficientsa

Model Unstandardized Coefficients Standardized Coefficients

t Sig.

B Std. Error Beta

1

(Constant) 32.716 2.149 15.221 .000

X1 .451 .179 .316 2.512 .014

X2 .301 .239 .174 1.260 .211

X3 .280 .188 .188 1.489 .140

a. Dependent Variable: Y

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value 37.8748 58.5102 47.0938 4.68141 96

Std. Predicted Value -1.969 2.439 .000 1.000 96

Standard Error of Predicted Value

.698 2.135 1.219 .318 96

Adjusted Predicted Value 38.1076 58.1337 47.1017 4.68263 96

Residual -10.13278 18.71243 .00000 6.07165 96

Std. Residual -1.642 3.033 .000 .984 96

Stud. Residual -1.683 3.095 -.001 1.006 96

Deleted Residual -10.64653 19.49103 -.00795 6.34450 96

Stud. Deleted Residual -1.701 3.252 .002 1.017 96

Mahal. Distance .226 10.383 2.969 2.092 96

Cook's Distance .000 .100 .011 .017 96

Centered Leverage Value .002 .109 .031 .022 96

a. Dependent Variable: Y

Charts

Lampiran 8

Hasil Uji Simultan (Uji F) Regression

Notes

Output Created 02-OCT-2015 22:06:50

Comments

Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics are based on cases with no missing values for any variable used.

Syntax

Memory Required 1956 bytes

Additional Memory Required for

b. All requested variables entered.

Model Summaryb

a. Predictors: (Constant), X3, X1, X2 b. Dependent Variable: Y

b. Predictors: (Constant), X3, X1, X2

Lampiran 9

Hasil Uji Parsial (Uji-t) Regression

Notes

Output Created 02-OCT-2015 22:10:21

Comments

Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics are based on cases with no missing values for any variable used.

Syntax

REGRESSION /MISSING LISTWISE

/STATISTICS COEFF OUTS COLLIN TOL

Memory Required 1956 bytes

Additional Memory Required for Residual Plots

224 bytes

Variables Entered/Removeda Model Variables Entered Variables

Removed

Method

1 X3, X1, X2b . Enter

a. Dependent Variable: Y

b. All requested variables entered.

Model Summarya

t Sig. Collinearity Statistics

B Std. Error Beta Tolerance VIF

Collinearity Diagnosticsa

Model Dimension Eigenvalue Condition Index Variance Proportions

(Constant) X1 X2 X3

1

1 3.861 1.000 .01 .00 .00 .00

2 .073 7.266 .83 .13 .00 .08

3 .042 9.567 .01 .62 .00 .65

4 .023 12.880 .16 .24 .99 .27

a. Dependent Variable: Y

Residuals Statisticsa

Minimum Maximum Mean Std.

Deviation N

Predicted Value 37.8748 58.5102 47.0938 4.68141 96

Std. Predicted Value -1.969 2.439 .000 1.000 96

Standard Error of Predicted Value

.698 2.135 1.219 .318 96

Adjusted Predicted Value 38.1076 58.1337 47.1017 4.68263 96

Residual -10.13278 18.71243 .00000 6.07165 96

Std. Residual -1.642 3.033 .000 .984 96

Stud. Residual -1.683 3.095 -.001 1.006 96

Deleted Residual -10.64653 19.49103 -.00795 6.34450 96

Stud. Deleted Residual -1.701 3.252 .002 1.017 96

Mahal. Distance .226 10.383 2.969 2.092 96

Cook's Distance .000 .100 .011 .017 96

Centered Leverage Value .002 .109 .031 .022 96

a. Dependent Variable: Y

Charts

Lampiran 10 Reliabilitas Data X1

Reliability

Notes

Output Created 02-OCT-2015 22:45:23

Comments

Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics are based on all cases with valid data for all variables in the procedure.

Syntax

RELIABILITY

/VARIABLES=VAR00001 VAR00003 VAR00005 VAR00002 VAR00004 /SCALE('ALL VARIABLES') ALL /MODEL=SPLIT

/STATISTICS=SCALE /SUMMARY=CORR.

Resources Processor Time 00:00:00,00

Elapsed Time 00:00:00,01

a. Listwise deletion based on all variables in the procedure.

Correlation Between Forms .806

Spearman-Brown Coefficient Equal Length .892

Unequal Length .896

Guttman Split-Half Coefficient .879

a. The items are: VAR00001, VAR00003, VAR00005.

b. The items are: VAR00002, VAR00004.

Summary Item Statistics

b. The items are: VAR00002, VAR00004.

Scale Statistics

Mean Variance Std. Deviation N of Items

Part 1 8.4167 9.972 3.15784 3a

Part 2 5.4896 6.253 2.50050 2b

Both Parts 13.9063 28.949 5.38043 5

a. The items are: VAR00001, VAR00003, VAR00005.

b. The items are: VAR00002, VAR00004.

Lampiran 11 Reliabilitas Data X2

Reliability

Notes

Output Created 02-OCT-2015 22:42:13

Comments

Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics are based on all cases with valid data for all variables in the procedure.

Syntax

RELIABILITY

/VARIABLES=VAR00001 VAR00003 VAR00005 VAR00002 VAR00004 /SCALE('ALL VARIABLES') ALL /MODEL=SPLIT

/STATISTICS=SCALE /SUMMARY=CORR.

Resources Processor Time 00:00:00,02

Elapsed Time 00:00:00,01

a. Listwise deletion based on all variables in the procedure.

Correlation Between Forms .742

Spearman-Brown Coefficient Equal Length .852

Unequal Length .856

Guttman Split-Half Coefficient .841

a. The items are: VAR00001, VAR00003, VAR00005.

b. The items are: VAR00002, VAR00004.

Summary Item Statistics

a. The items are: VAR00001, VAR00003, VAR00005.

Scale Statistics

Mean Variance Std. Deviation N of Items

Part 1 8.6354 6.866 2.62024 3a

Part 2 5.5833 4.540 2.13081 2b

Both Parts 14.2188 19.688 4.43717 5

a. The items are: VAR00001, VAR00003, VAR00005.

b. The items are: VAR00002, VAR00004.

Lampiran 12 Reliabilitas Data X3

Reliability

Notes

Output Created 02-OCT-2015 22:47:15

Comments

Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics are based on all cases with valid data for all variables in the procedure.

Syntax

RELIABILITY

/VARIABLES=VAR00001 VAR00003 VAR00005 VAR00002 VAR00004 /SCALE('ALL VARIABLES') ALL /MODEL=SPLIT

/STATISTICS=SCALE /SUMMARY=CORR.

Resources Processor Time 00:00:00,02

Elapsed Time 00:00:00,01

a. Listwise deletion based on all variables in the procedure.

Correlation Between Forms .796

Spearman-Brown Coefficient Equal Length .887

Unequal Length .890

Guttman Split-Half Coefficient .858

a. The items are: VAR00001, VAR00003, VAR00005.

b. The items are: VAR00002, VAR00004.

Summary Item Statistics

Mean Minimum Maximum Range Maximum / Minimum

a. The items are: VAR00001, VAR00003, VAR00005.

b. The items are: VAR00002, VAR00004.

Scale Statistics

Mean Variance Std. Deviation N of Items

Part 1 8.3333 10.014 3.16450 3a

Part 2 5.3438 5.049 2.24700 2b

Both Parts 13.6771 26.389 5.13706 5

a. The items are: VAR00001, VAR00003, VAR00005.

b. The items are: VAR00002, VAR00004.

Lampiran 13 Reliabilitas Data Y Reliability

Notes

Output Created 02-OCT-2015 22:52:15

Comments

Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics are based on all cases with valid data for all variables in the procedure.

Syntax

/SCALE('ALL VARIABLES') ALL /MODEL=SPLIT

/STATISTICS=SCALE /SUMMARY=CORR.

Resources Processor Time 00:00:00,02

Elapsed Time 00:00:00,02

a. Listwise deletion based on all variables in the procedure.

Correlation Between Forms .782

Spearman-Brown Coefficient Equal Length .878

Unequal Length .878

Guttman Split-Half Coefficient .876

a. The items are: VAR00001, VAR00003, VAR00005, VAR00007, VAR00009, VAR00011, VAR00013, VAR00015.

b. The items are: VAR00002, VAR00004, VAR00006, VAR00008, VAR00010, VAR00012, VAR00014.

Summary Item Statistics

Mean Minimum Maximum Range Maximum / Minimum

Variance N of Items

Inter-Item Correlations

Part 1 .106 -.174 .374 .548 -2.143 .018 8a

Part 2 .134 -.044 .353 .397 -8.053 .013 7b

Both Parts .153 -.174 .580 .755 -3.329 .023 15

a. The items are: VAR00001, VAR00003, VAR00005, VAR00007, VAR00009, VAR00011, VAR00013, VAR00015.

b. The items are: VAR00002, VAR00004, VAR00006, VAR00008, VAR00010, VAR00012, VAR00014.

Scale Statistics

Mean Variance Std. Deviation N of Items

Part 1 25.2396 17.679 4.20462 8a

Part 2 21.8542 15.347 3.91752 7b

Both Parts 47.0938 58.781 7.66685 15

a. The items are: VAR00001, VAR00003, VAR00005, VAR00007, VAR00009, VAR00011, VAR00013, VAR00015.

b. The items are: VAR00002, VAR00004, VAR00006, VAR00008, VAR00010, VAR00012, VAR00014.

Correlations

Notes

Output Created 02-OCT-2015 23:12:31

Comments

Input

Active Dataset DataSet2

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 96

Missing Value Handling

Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics for each pair of variables are based on all the cases with valid data for that pair.

Syntax

CORRELATIONS

/VARIABLES=VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00007 VAR00008 VAR00009 VAR00010 VAR00011 VAR00012 VAR00013 VAR00014 VAR00015 Total

/PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE.

Resources Processor Time 00:00:00,09

Elapsed Time 00:00:00,07

VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00007 VAR00008 VAR00009 VAR00010 VAR00011 VAR00012 VAR00013 VAR00014 VAR00015 Total

**. Correlation is significant at the 0.01 level (2-tailed).

*. Correlation is significant at the 0.05 level (2-tailed).

Correlations

Notes

Output Created 02-OCT-2015 23:15:18

Comments

Input

Active Dataset DataSet3

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File

96

Missing Value Handling

Definition of Missing User-defined missing values are treated as missing.

Cases Used

Statistics for each pair of variables are based on all the cases with valid data for that pair.

Syntax

CORRELATIONS

/VARIABLES=VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 Total

/PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE.

Resources Processor Time 00:00:00,05

Elapsed Time 00:00:00,05

Correlations

VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 Total

VAR00001

**. Correlation is significant at the 0.01 level (2-tailed).

Lampiran 16

Validitas Instrumen X2

Correlations

Notes

Output Created 02-OCT-2015 23:16:05

Comments

Definition of Missing User-defined missing values are treated as missing.

Cases Used

Statistics for each pair of variables are based on all the cases with valid data for that pair.

Resources Processor Time 00:00:00,08

Elapsed Time 00:00:00,08

Correlations

VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 Total

VAR00001

Correlations

VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 Total

VAR00001

**. Correlation is significant at the 0.01 level (2-tailed).

*. Correlation is significant at the 0.05 level (2-tailed).

Lampiran 17

Validitas Instrumen X3

Correlations

Notes

Output Created 02-OCT-2015 23:17:11

Comments

Input

Active Dataset DataSet3

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 96

Missing Value Handling

Definition of Missing User-defined missing values are treated as missing.

Cases Used

Statistics for each pair of variables are based on all the cases with valid data for that pair.

Syntax

CORRELATIONS

/VARIABLES=VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 Total /PRINT=TWOTAIL NOSIG

/MISSING=PAIRWISE.

Resources Processor Time 00:00:00,03

Elapsed Time 00:00:00,03