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NPar TestsNotes
Output Created 14-Sep-2013 10:25:05
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling 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 NPAR TESTS
/K-S(NORMAL)=Keuangan Peralatan
Pengalaman Kemampuan Mutu
Keselamatan Konser Waktu Kualitas K_3
Biaya Lingk
/MISSING ANALYSIS.
Resources Processor Timea 00:00:00.015
Elapsed Time 00:00:00.016
Number of Cases Allowed 52428
a. Based on availability of workspace memory.
[DataSet1] C:\Users\dell\Documents\rajib.savOne-Sample Kolmogorov-Smirnov Test
N
Normal Parameters Most Extreme DifferencesKolmogorov-Smirn
ov Z
Asymp. Sig.
(2-tailed)Mean Std. Deviation Absolute Positive Negative
Keuangan 112 14.2232 1.70167 .173 .166 -.173 1.833 .002
Peralatan/Perlengkapan 112 14.1429 1.72870 .219 .219 -.144 2.317 .000
Pengalaman Kerja 112 10.2143 1.33847 .327 .327 -.204 3.458 .000
Sisa Kemampuan Biaya 112 3.5893 .49417 .386 .294 -.386 4.089 .000
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Manajemen Mutu 112 10.8750 1.34984 .244 .179 -.244 2.584 .000
Keselamatan Kerja 112 17.3929 1.96985 .168 .168 -.132 1.781 .004
Konservasi Lingkungan 112 5.8571 1.22185 .173 .142 -.173 1.835 .002
Kinerja berdasarkan Waktu 112 21.7054 2.17537 .176 .141 -.176 1.859 .002
Kinerja berdasarkan Kualitas 112 22.0982 1.84518 .173 .173 -.157 1.831 .002
Kinerja berdasarkan K3 112 14.5536 1.64858 .148 .148 -.125 1.571 .014
Kinerja berdasarkan Biaya 112 25.8929 2.04171 .178 .178 -.108 1.884 .002
Kinerja berdasarkan Lingkungan 112 13.2679 1.75007 .221 .221 -.154 2.338 .000
Curve FitNotes
Output Created 14-Sep-2013 10:31:28
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=Waktu WITH Keuangan
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.031
Elapsed Time 00:00:00.016
Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
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Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation PlotsMXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savCase Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
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Variable Processing Summary
Variables
Dependent Independent
Kinerja
berdasarkan
Waktu Keuangan
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan Waktu
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .009 .981 1 110 .324 23.415 -.120
The independent variable is Keuangan.
* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT/VARIABLES=Kualitas WITH Keuangan/CONSTANT/MODEL=LINEAR
/PLOT NONE.Curve Fit
Notes
Output Created 14-Sep-2013 10:31:50
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
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Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=Kualitas WITH Keuangan
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.015
Elapsed Time 00:00:00.015
Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation PlotsMXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
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Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_5
Dependent Variable 1 Kinerja berdasarkan Kualitas
Equation 1 Linear
Independent Variable Keuangan
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa 0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
Variables
Dependent Independent
Kinerja
berdasarkan
Kualitas Keuangan
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
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Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan Kualitas
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .000 .005 1 110 .941 22.207 -.008
The independent variable is Keuangan.
* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT/VARIABLES=K_3 WITH Keuangan/CONSTANT/MODEL=LINEAR
/PLOT NONE.Curve Fit
Notes
Output Created 14-Sep-2013 10:32:27
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=K_3 WITH Keuangan
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.031
Elapsed Time 00:00:00.015
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Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation PlotsMXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_6
Dependent Variable 1 Kinerja berdasarkan K3
Equation 1 Linear
Independent Variable Keuangan
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/MODEL=LINEAR
/PLOT NONE.Curve Fit
Notes
Output Created 14-Sep-2013 10:32:46
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=Biaya WITH Keuangan
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.031
Elapsed Time 00:00:00.015
Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation PlotsMXCROSS = 7
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Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_7
Dependent Variable 1 Kinerja berdasarkan Biaya
Equation 1 Linear
Independent Variable Keuangan
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
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Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
Variables
Dependent Independent
Kinerja
berdasarkan Biaya Keuangan
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan Biaya
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .038 4.362 1 110 .039 29.226 -.234
The independent variable is Keuangan.
* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT/VARIABLES=Lingk WITH Keuangan/CONSTANT/MODEL=LINEAR
/PLOT NONE.Curve Fit
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Notes
Output Created 14-Sep-2013 10:33:04
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=Lingk WITH Keuangan
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.031
Elapsed Time 00:00:00.015
Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation PlotsMXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
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Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_8
Dependent Variable 1 Kinerja berdasarkan Lingkungan
Equation 1 Linear
Independent Variable Keuangan
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
Variables
Dependent Independent
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[DataSet1] C:\Users\dell\Documents\rajib.sav
Model Description
Model Name MOD_9
Dependent Variable 1 Kinerja berdasarkan Waktu
Equation 1 Linear
Independent Variable Personil
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
Variables
Dependent Independent
Kinerja
berdasarkan
Waktu Personil
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
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Dependent Variable:Kinerja berdasarkan Waktu
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .002 .241 1 110 .624 22.666 -.045
The independent variable is Personil.
* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT/VARIABLES=Kualitas WITH Personil/CONSTANT/MODEL=LINEAR
/PLOT NONE.Curve Fit
Notes
Output Created 14-Sep-2013 10:34:03
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=Kualitas WITH Personil
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.016
Elapsed Time 00:00:00.014
Use From First observation
To Last observation
Predict From First Observation following the use period
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To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation PlotsMXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_10
Dependent Variable 1 Kinerja berdasarkan Kualitas
Equation 1 Linear
Independent Variable Personil
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
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Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
Variables
Dependent Independent
Kinerja
berdasarkan
Kualitas Personil
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan Kualitas
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .031 3.483 1 110 .065 25.148 -.143
The independent variable is Personil.
* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT/VARIABLES=K_3 WITH Personil/CONSTANT/MODEL=LINEAR
/PLOT NONE.
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Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for Autocorrelations ACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_11
Dependent Variable 1 Kinerja berdasarkan K3
Equation 1 Linear
Independent Variable Personil
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
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VariablesDependent Independent
Kinerja
berdasarkan K3 Personil
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan K3
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .004 .476 1 110 .492 15.574 -.048
The independent variable is Personil.
* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT/VARIABLES=Biaya WITH Personil/CONSTANT/MODEL=LINEAR
/PLOT NONE.Curve Fit
Notes
Output Created 14-Sep-2013 10:34:49
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
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Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=Biaya WITH Personil
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.031
Elapsed Time 00:00:00.016
Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation PlotsMXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
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[DataSet1] C:\Users\dell\Documents\rajib.sav
Model Description
Model Name MOD_12
Dependent Variable 1 Kinerja berdasarkan Biaya
Equation 1 Linear
Independent Variable Personil
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
Variables
Dependent Independent
Kinerja
berdasarkan Biaya Personil
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan Biaya
M d l S P t E ti t
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Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .054 6.305 1 110 .013 30.378 -.211
The independent variable is Personil.
* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT/VARIABLES=Lingk WITH Personil/CONSTANT
/MODEL=LINEAR
/PLOT NONE.Curve Fit
Notes
Output Created 14-Sep-2013 10:35:07
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=Lingk WITH Personil
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.016
Elapsed Time 00:00:00.016
Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
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Time Series Settings (TSET) Amount of Output PRINT DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation PlotsMXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.sav
Model Description
Model Name MOD_13
Dependent Variable 1 Kinerja berdasarkan Lingkungan
Equation 1 Linear
Independent Variable Personil
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
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g y
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
Variables
Dependent Independent
Kinerja
berdasarkan
Lingkungan Personil
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan Lingkungan
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .012 1.326 1 110 .252 15.070 -.085
The independent variable is Personil.
* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT/VARIABLES=Waktu WITH Peralatan/CONSTANT/MODEL=LINEAR
/PLOT NONE.Curve Fit
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Notes
Output Created 14-Sep-2013 10:35:44
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=Waktu WITH Peralatan
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.032
Elapsed Time 00:00:00.018
Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation PlotsMXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-MissingMISSING = EXCLUDE
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ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for Autocorrelations
ACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_14
Dependent Variable 1 Kinerja berdasarkan Waktu
Equation 1 Linear
Independent Variable Peralatan/Perlengkapan
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
Variables
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Dependent Independent
Kinerja
berdasarkan
Waktu
Peralatan/Perlengk
apan
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan Waktu
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .006 .704 1 110 .403 23.125 -.100
The independent variable is Peralatan/Perlengkapan.
* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT/VARIABLES=Kualitas WITH Peralatan/CONSTANT/MODEL=LINEAR
/PLOT NONE.Curve Fit
Notes
Output Created 14-Sep-2013 10:36:20
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
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Variable Whose Values Label
Ob ti i Pl tUnspecified
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Observations in Plots
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_15
Dependent Variable 1 Kinerja berdasarkan Kualitas
Equation 1 Linear
Independent Variable Peralatan/Perlengkapan
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa 0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
Variables
Dependent Independent
Kinerja
berdasarkan
Kualitas
Peralatan/Perlengk
apan
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
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Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan Kualitas
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .001 .136 1 110 .713 21.568 .037
The independent variable is Peralatan/Perlengkapan.
* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT/VARIABLES=K_3 WITH Peralatan/CONSTANT/MODEL=LINEAR
/PLOT NONE.Curve Fit
Notes
Output Created 14-Sep-2013 10:36:36
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=K_3 WITH Peralatan
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.031
Elapsed Time 00:00:00.015
Use From First observation
To Last observation
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To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation PlotsMXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_16
Dependent Variable 1 Kinerja berdasarkan K3
Equation 1 Linear
Independent Variable Peralatan/Perlengkapan
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Maximum Number of New
Variables Generated Per MXNEWVAR = 60
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Procedure
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variablesin Regression Equations
TOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_17
Dependent Variable 1 Kinerja berdasarkan Biaya
Equation 1 Linear
Independent Variable Peralatan/Perlengkapan
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
Case Processing Summary
N
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Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
Variables
Dependent Independent
Kinerja
berdasarkan Biaya
Peralatan/Perlengk
apan
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan Biaya
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .106 12.981 1 110 .000 31.320 -.384
The independent variable is Peralatan/Perlengkapan.
* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT/VARIABLES=Lingk WITH Peralatan/CONSTANT/MODEL=LINEAR
/PLOT NONE.Curve Fit
Notes
Output Created 14-Sep-2013 10:37:12
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Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=Lingk WITH Peralatan
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.016
Elapsed Time 00:00:00.016
Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation PlotsMXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
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Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_18
Dependent Variable 1 Kinerja berdasarkan Lingkungan
Equation 1 Linear
Independent Variable Peralatan/Perlengkapan
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
Variables
Dependent Independent
Kinerjaberdasarkan
Lingkungan
Peralatan/Perlengk
apan
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Lingkungan apan
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan Lingkungan
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .031 3.539 1 110 .063 15.796 -.179
The independent variable is Peralatan/Perlengkapan.
* Curve Estimation.TSET NEWVAR=NONE.
CURVEFIT/VARIABLES=Waktu WITH Pengalaman/CONSTANT/MODEL=LINEAR
/PLOT NONE.Curve Fit
Notes
Output Created 14-Sep-2013 10:37:39
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
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Syntax CURVEFIT
/VARIABLES=Waktu WITH Pengalaman
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.031
Elapsed Time 00:00:00.016
Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation Plots
MXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression Equations
TOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.sav
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[ ] \ \ \ \ j
Model Description
Model Name MOD_19
Dependent Variable 1 Kinerja berdasarkan Waktu
Equation 1 Linear
Independent Variable Pengalaman Kerja
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
Variables
Dependent Independent
Kinerja
berdasarkan
Waktu Pengalaman Kerja
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan Waktu
Model Summary Parameter Estimates
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Equation R Square F df1 df2 Sig. Constant b1
Linear .012 1.311 1 110 .255 19.904 .176
The independent variable is Pengalaman Kerja.
* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT/VARIABLES=Kualitas WITH Pengalaman
/CONSTANT/MODEL=LINEAR
/PLOT NONE.Curve Fit
Notes
Output Created 14-Sep-2013 10:38:02
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=Kualitas WITH Pengalaman
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.032
Elapsed Time 00:00:00.030
Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
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Saving New Variables NEWVAR NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation PlotsMXCROSS = 7
Maximum Number of New
Variables Generated PerProcedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
Maximum Iterative Parameter
Change
CNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_20
Dependent Variable 1 Kinerja berdasarkan Kualitas
Equation 1 Linear
Independent Variable Pengalaman Kerja
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
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N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
Variables
Dependent Independent
Kinerja
berdasarkan
Kualitas Pengalaman Kerja
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan Kualitas
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .002 .189 1 110 .665 22.682 -.057
The independent variable is Pengalaman Kerja.
* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT/VARIABLES=K_3 WITH Pengalaman/CONSTANT/MODEL=LINEAR
/PLOT NONE.
Curve FitNotes
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Output Created 14-Sep-2013 10:38:11
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=K_3 WITH Pengalaman
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.016
Elapsed Time 00:00:00.015
Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation PlotsMXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval PercentageCIN = 95
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ValueCIN 95
Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_21
Dependent Variable 1 Kinerja berdasarkan K3
Equation 1 Linear
Independent Variable Pengalaman Kerja
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
VariablesDependent Independent
Kinerja
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berdasarkan K3 Pengalaman Kerja
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan K3
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .004 .488 1 110 .486 15.390 -.082
The independent variable is Pengalaman Kerja.
* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT/VARIABLES=Biaya WITH Pengalaman/CONSTANT/MODEL=LINEAR
/PLOT NONE.Curve Fit
Notes
Output Created 14-Sep-2013 10:38:34
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=Biaya WITH Pengalaman
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/VARIABLES=Biaya WITH Pengalaman
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.032
Elapsed Time 00:00:00.016
Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation Plots
MXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression Equations
TOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.sav
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Model Description
Model Name MOD_22
Dependent Variable 1 Kinerja berdasarkan Biaya
Equation 1 Linear
Independent Variable Pengalaman Kerja
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
Variables
Dependent Independent
Kinerja
berdasarkan Biaya Pengalaman Kerja
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan Biaya
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .083 9.966 1 110 .002 30.384 -.440
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The independent variable is Pengalaman Kerja.
* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT/VARIABLES=Lingk WITH Pengalaman/CONSTANT/MODEL=LINEAR
/PLOT NONE.Curve Fit
Notes
Output Created 14-Sep-2013 10:38:48
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=Lingk WITH Pengalaman
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.031
Elapsed Time 00:00:00.015
Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial MXAUTO = 16
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Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation PlotsMXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_23
Dependent Variable 1 Kinerja berdasarkan Lingkungan
Equation 1 Linear
Independent Variable Pengalaman Kerja
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
E l d d Ca
0
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Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
Variables
Dependent Independent
Kinerja
berdasarkan
Lingkungan Pengalaman Kerja
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan Lingkungan
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .004 .496 1 110 .483 14.163 -.088
The independent variable is Pengalaman Kerja.
* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT/VARIABLES=Waktu WITH Kemampuan/CONSTANT/MODEL=LINEAR
/PLOT NONE.Curve Fit
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Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
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Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_24
Dependent Variable 1 Kinerja berdasarkan Waktu
Equation 1 Linear
Independent Variable Sisa Kemampuan Biaya
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
VariablesDependent Independent
Kinerja
berdasarkan Sisa Kemampuan
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Waktu Biaya
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan Waktu
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .005 .568 1 110 .453 22.838 -.316
The independent variable is Sisa Kemampuan Biaya.
* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT/VARIABLES=Kualitas WITH Kemampuan/CONSTANT/MODEL=LINEAR
/PLOT NONE.Curve Fit
Notes
Output Created 14-Sep-2013 10:40:09
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
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Syntax CURVEFIT
/VARIABLES=Kualitas WITH Kemampuan
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.032
Elapsed Time 00:00:00.016
Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation PlotsMXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
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[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_25
Dependent Variable 1 Kinerja berdasarkan Kualitas
Equation 1 Linear
Independent Variable Sisa Kemampuan Biaya
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa 0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
Variables
Dependent Independent
Kinerja
berdasarkan
Kualitas
Sisa Kemampuan
Biaya
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan Kualitas
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Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .007 .778 1 110 .380 23.221 -.313
The independent variable is Sisa Kemampuan Biaya.
* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT/VARIABLES=K_3 WITH Kemampuan/CONSTANT/MODEL=LINEAR
/PLOT NONE.Curve Fit
Notes
Output Created 14-Sep-2013 10:40:24
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=K_3 WITH Kemampuan
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.015
Elapsed Time 00:00:00.015
Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
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Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation PlotsMXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variablesin Regression Equations
TOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_26
Dependent Variable 1 Kinerja berdasarkan K3
Equation 1 Linear
Independent Variable Sisa Kemampuan Biaya
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
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Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
Variables
Dependent Independent
Kinerja
berdasarkan K3
Sisa Kemampuan
Biaya
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan K3
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .000 .004 1 110 .951 14.625 -.020
The independent variable is Sisa Kemampuan Biaya.
* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT/VARIABLES=Biaya WITH Kemampuan/CONSTANT
/MODEL=LINEAR
/PLOT NONE.Curve Fit
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Notes
Output Created 14-Sep-2013 10:40:39
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=Biaya WITH Kemampuan
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.016
Elapsed Time 00:00:00.016
Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation PlotsMXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
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Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression Equations
TOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_27
Dependent Variable 1 Kinerja berdasarkan Biaya
Equation 1 Linear
Independent Variable Sisa Kemampuan Biaya
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
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Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
Variables
Dependent Independent
Kinerja
berdasarkan Biaya
Sisa Kemampuan
Biaya
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan Biaya
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .011 1.262 1 110 .264 27.472 -.440
The independent variable is Sisa Kemampuan Biaya.
* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT/VARIABLES=Lingk WITH Kemampuan/CONSTANT/MODEL=LINEAR
/PLOT NONE.Curve Fit
Notes
Output Created 14-Sep-2013 10:40:58
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
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Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated asmissing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=Lingk WITH Kemampuan
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.031
Elapsed Time 00:00:00.016
Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation Plots MXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
Maximum Iterative Parameter
ChCNVERGE = .001
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Change
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_28
Dependent Variable 1 Kinerja berdasarkan Lingkungan
Equation 1 Linear
Independent Variable Sisa Kemampuan Biaya
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
Variables
Dependent Independent
Kinerjaberdasarkan
Lingkungan
Sisa Kemampuan
Biaya
Number of Positive Values 112 112
Number of Zeros 0 0
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Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan Lingkungan
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .008 .906 1 110 .343 14.417 -.320
The independent variable is Sisa Kemampuan Biaya.
* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT
/VARIABLES=Waktu WITH Mutu/CONSTANT/MODEL=LINEAR
/PLOT NONE.Curve Fit
Notes
Output Created 14-Sep-2013 10:41:41
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
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[DataSet1] C:\Users\dell\Documents\rajib.sav
Model Description
Model Name MOD 29
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Model Name MOD_29
Dependent Variable 1 Kinerja berdasarkan Waktu
Equation 1 Linear
Independent Variable Manajemen Mutu
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in anyvariable are excluded from the analysis.
Variable Processing Summary
Variables
Dependent Independent
Kinerja
berdasarkan
Waktu Manajemen Mutu
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan Waktu
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .044 5.025 1 110 .027 25.368 -.337
The independent variable is Manajemen Mutu.
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* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT/VARIABLES=Kualitas WITH Mutu/CONSTANT
/MODEL=LINEAR
/PLOT NONE.Curve Fit
Notes
Output Created 14-Sep-2013 10:42:02
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=Kualitas WITH Mutu
/CONSTANT
/MODEL=LINEAR/PLOT NONE.
Resources Processor Time 00:00:00.031
Elapsed Time 00:00:00.016
Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
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Maximum Number of Lags Per
Cross-Correlation PlotsMXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_30
Dependent Variable 1 Kinerja berdasarkan Kualitas
Equation 1 Linear
Independent Variable Manajemen Mutu
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
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Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
Variables
Dependent Independent
Kinerja
berdasarkan
Kualitas Manajemen Mutu
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan Kualitas
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .003 .352 1 110 .554 22.938 -.077
The independent variable is Manajemen Mutu.
* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT/VARIABLES=K_3 WITH Mutu/CONSTANT/MODEL=LINEAR
/PLOT NONE.
Curve FitNotes
Output Created 14-Sep-2013 10:42:16
Comments
Input Data C:\Users\dell\Documents\rajib sav
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Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=K_3 WITH Mutu
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.031
Elapsed Time 00:00:00.015
Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation PlotsMXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
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Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_31
Dependent Variable 1 Kinerja berdasarkan K3
Equation 1 Linear
Independent Variable Manajemen Mutu
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
VariablesDependent Independent
Kinerja
berdasarkan K3 Manajemen Mutu
Number of Positive Values 112 112
Number of Zeros 0 0
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Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan K3
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .028 3.156 1 110 .078 16.772 -.204
The independent variable is Manajemen Mutu.
* Curve Estimation.
TSET NEWVAR=NONE.CURVEFIT/VARIABLES=Biaya WITH Mutu/CONSTANT/MODEL=LINEAR
/PLOT NONE.Curve Fit
Notes
Output Created 14-Sep-2013 10:42:32
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=Biaya WITH Mutu
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
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Resources Processor Time 00:00:00.031
Elapsed Time 00:00:00.016
Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation PlotsMXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.sav
Model Description
Model Name MOD_32
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Dependent Variable 1 Kinerja berdasarkan Biaya
Equation 1 Linear
Independent Variable Manajemen Mutu
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
Variables
Dependent Independent
Kinerja
berdasarkan Biaya Manajemen Mutu
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan Biaya
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .003 .361 1 110 .549 24.952 .087
The independent variable is Manajemen Mutu.
* Curve Estimation.
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TSET NEWVAR=NONE.CURVEFIT/VARIABLES=Lingk WITH Mutu/CONSTANT/MODEL=LINEAR
/PLOT NONE.Curve Fit
Notes
Output Created 14-Sep-2013 10:42:54
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=Lingk WITH Mutu
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.031
Elapsed Time 00:00:00.014
Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation PlotsMXCROSS = 7
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Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New CasesPer Procedure
MXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
Maximum Iterative Parameter
ChangeCNVERGE = .001
Method of Calculating Std.
Errors for Autocorrelations
ACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_33
Dependent Variable 1 Kinerja berdasarkan Lingkungan
Equation 1 Linear
Independent Variable Manajemen Mutu
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
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Notes
Output Created 14-Sep-2013 10:43:14
Comments
Input Data C:\Users\dell\Documents\rajib.sav
Active Dataset DataSet1
Filt
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Filter
Weight
Split File
N of Rows in Working Data File 112
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Cases with a missing value in any variable
are not used in the analysis.
Syntax CURVEFIT
/VARIABLES=Waktu WITH Keselamatan
/CONSTANT
/MODEL=LINEAR
/PLOT NONE.
Resources Processor Time 00:00:00.032
Elapsed Time 00:00:00.016
Use From First observation
To Last observation
Predict From First Observation following the use period
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = NONE
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation PlotsMXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per ProcedureMXPREDICT = 1000
Treatment of User-Missing
ValuesMISSING = EXCLUDE
Confidence Interval Percentage
ValueCIN = 95
Tolerance for Entering Variables
in Regression EquationsTOLER = .0001
Maximum Iterative ParameterCNVERGE = 001
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ChangeCNVERGE .001
Method of Calculating Std.
Errors for AutocorrelationsACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.savModel Description
Model Name MOD_34
Dependent Variable 1 Kinerja berdasarkan Waktu
Equation 1 Linear
Independent Variable Keselamatan Kerja
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa
0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
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Variable Whose Values Label
Observations in PlotsUnspecified
Equations Include CONSTANT
[DataSet1] C:\Users\dell\Documents\rajib.sav
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Model Description
Model Name MOD_35
Dependent Variable 1 Kinerja berdasarkan Kualitas
Equation 1 Linear
Independent Variable Keselamatan Kerja
Constant Included
Variable Whose Values Label Observations in Plots Unspecified
Case Processing Summary
N
Total Cases 112
Excluded Casesa 0
Forecasted Cases 0
Newly Created Cases 0
a. Cases with a missing value in any
variable are excluded from the analysis.
Variable Processing Summary
Variables
Dependent Independent
Kinerja
berdasarkan
Kualitas Keselamatan Kerja
Number of Positive Values 112 112
Number of Zeros 0 0
Number of Negative Values 0 0
Number of Missing Values User-Missing 0 0
System-Missing 0 0
Model Summary and Parameter Estimates
Dependent Variable:Kinerja berdasarkan Kualitas
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear 001 059 1 110 809 22 475 - 022
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Linear .001 .059 1 110 .809 22.
Recommended