outputlanscap.doc1
DESCRIPTION
02TRANSCRIPT
GET FILE='C:\Users\DECKO-83\Documents\tgs pak iwan arif.sav'.DATASET NAME DataSet1 WINDOW=FRONT.FREQUENCIES VARIABLES=x1 x2 x3 x4 y1 y2 y3 y4 /NTILES=4 /PIECHART FREQ /ORDER=ANALYSIS.
Frequencies
Notes
Output Created 26-JUN-2016 11:10:08
Comments
Input Data C:\Users\DECKO-83\Documents\tgs
pak iwan arif.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File20
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on all cases with
valid data.
Syntax FREQUENCIES VARIABLES=x1 x2 x3
x4 y1 y2 y3 y4
/NTILES=4
/PIECHART FREQ
/ORDER=ANALYSIS.
Resources Processor Time 00:00:03.03
Elapsed Time 00:00:05.44
[DataSet1] C:\Users\DECKO-83\Documents\tgs pak iwan arif.sav
Statistics
pelayana
n yang
ramah
mudah
didapat
tempat
yang
bersih
dan
nyaman
pelayana
n yang
optimal
N Valid 20 20 20 20
Missi
ng0 0 0 0
Percen
tiles
25 4.00 4.00 4.00 4.00
50 4.50 4.00 4.00 4.00
75 5.00 5.00 4.00 4.00
Statistics
harga yang murah cepat saji rasa yang enak
kualitas kesehatan
terjamin
N Valid 20 20 20 20
Missing 0 0 0 0
Percentiles 25 4.00 3.25 3.00 3.00
50 5.00 4.00 4.00 3.00
75 5.00 4.00 4.00 4.00
Frequency Table
pelayanan yang ramah
Frequency Percent Valid Percent
Cumulative
Percent
Valid 3 3 15.0 15.0 15.0
4 7 35.0 35.0 50.0
5 10 50.0 50.0 100.0
Total 20 100.0 100.0
mudah didapat
Frequency Percent Valid Percent
Cumulative
Percent
Valid 3 2 10.0 10.0 10.0
4 10 50.0 50.0 60.0
5 8 40.0 40.0 100.0
Total 20 100.0 100.0
tempat yang bersih dan nyaman
Frequency Percent Valid Percent
Cumulative
Percent
Valid 3 3 15.0 15.0 15.0
4 14 70.0 70.0 85.0
5 3 15.0 15.0 100.0
Total 20 100.0 100.0
pelayanan yang optimal
Frequency Percent Valid Percent
Cumulative
Percent
Valid 4 18 90.0 90.0 90.0
5 2 10.0 10.0 100.0
Total 20 100.0 100.0
harga yang murah
Frequency Percent Valid Percent
Cumulative
Percent
Valid 4 6 30.0 30.0 30.0
5 14 70.0 70.0 100.0
Total 20 100.0 100.0
cepat saji
Frequency Percent Valid Percent
Cumulative
Percent
Valid 3 5 25.0 25.0 25.0
4 13 65.0 65.0 90.0
5 2 10.0 10.0 100.0
Total 20 100.0 100.0
rasa yang enak
Frequency Percent Valid Percent
Cumulative
Percent
Valid 3 8 40.0 40.0 40.0
4 8 40.0 40.0 80.0
5 4 20.0 20.0 100.0
Total 20 100.0 100.0
kualitas kesehatan terjamin
Frequency Percent Valid Percent
Cumulative
Percent
Valid 3 12 60.0 60.0 60.0
4 7 35.0 35.0 95.0
5 1 5.0 5.0 100.0
Total 20 100.0 100.0
Pie Chart
CORRELATIONS /VARIABLES=x1 x2 x3 x4 y1 y2 y3 y4 /PRINT=TWOTAIL NOSIG /STATISTICS DESCRIPTIVES /MISSING=PAIRWISE.
Correlations
Notes
Output Created 26-JUN-2016 11:11:17
Comments
Input Data C:\Users\DECKO-83\Documents\tgs
pak iwan arif.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File20
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=x1 x2 x3 x4 y1 y2 y3 y4
/PRINT=TWOTAIL NOSIG
/STATISTICS DESCRIPTIVES
/MISSING=PAIRWISE.
Resources Processor Time 00:00:00.03
Elapsed Time 00:00:00.20
Descriptive Statistics
Mean Std. Deviation N
pelayanan yang ramah 4.35 .745 20
mudah didapat 4.30 .657 20
tempat yang bersih dan
nyaman4.00 .562 20
pelayanan yang optimal 4.10 .308 20
harga yang murah 4.70 .470 20
cepat saji 3.85 .587 20
rasa yang enak 3.80 .768 20
kualitas kesehatan terjamin 3.45 .605 20
Correlations
pelayan
an yang
ramah
mudah
didapat
tempat
yang
bersih
dan
nyaman
pelayanan
yang ramah
Pearson
Correlation
1 .097 .126
Sig. (2-
tailed).685 .597
N 20 20 20
mudah didapat Pearson
Correlation.097 1 .570**
Sig. (2-
tailed).685 .009
N 20 20 20
tempat yang
bersih dan
nyaman
Pearson
Correlation.126 .570** 1
Sig. (2-
tailed).597 .009
N 20 20 20
pelayanan
yang optimal
Pearson
Correlation-.161 .364 .609**
Sig. (2-
tailed).499 .114 .004
N 20 20 20
harga yang
murah
Pearson
Correlation.315 .136 .398
Sig. (2-
tailed).175 .567 .082
N 20 20 20
cepat saji Pearson
Correlation-.114 .532* .798**
Sig. (2-
tailed).631 .016 .000
N 20 20 20
rasa yang enak Pearson
Correlation-.055 .543* .488*
Sig. (2-
tailed).817 .013 .029
N 20 20 20
kualitas
kesehatan
terjamin
Pearson
Correlation-.018 .040 .310
Sig. (2-
tailed).942 .868 .184
N 20 20 20
Correlations
pelayanan
yang optimal
harga yang
murah
cepat
saji
pelayanan yang
ramah
Pearson
Correlation-.161 .315 -.114
Sig. (2-tailed) .499 .175 .631
N 20 20 20
mudah didapat Pearson
Correlation.364 .136 .532*
Sig. (2-tailed) .114 .567 .016
N 20 20 20
tempat yang bersih
dan nyaman
Pearson
Correlation.609** .398 .798**
Sig. (2-tailed) .004 .082 .000
N 20 20 20
pelayanan yang
optimal
Pearson
Correlation1 .218 .670**
Sig. (2-tailed) .355 .001
N 20 20 20
harga yang murah Pearson
Correlation.218 1 .400
Sig. (2-tailed) .355 .080
N 20 20 20
cepat saji Pearson
Correlation.670** .400 1
Sig. (2-tailed) .001 .080
N 20 20 20
rasa yang enak Pearson
Correlation.535* -.029 .630**
Sig. (2-tailed) .015 .903 .003
N 20 20 20
kualitas kesehatan
terjamin
Pearson
Correlation.594** .130 .497*
Sig. (2-tailed) .006 .586 .026
N 20 20 20
Correlations
rasa yang enak
kualitas kesehatan
terjamin
pelayanan yang ramah Pearson Correlation -.055 -.018
Sig. (2-tailed) .817 .942
N 20 20
mudah didapat Pearson Correlation .543* .040
Sig. (2-tailed) .013 .868
N 20 20
tempat yang bersih dan nyaman Pearson Correlation .488* .310
Sig. (2-tailed) .029 .184
N 20 20
pelayanan yang optimal Pearson Correlation .535* .594**
Sig. (2-tailed) .015 .006
N 20 20
harga yang murah Pearson Correlation -.029 .130
Sig. (2-tailed) .903 .586
N 20 20
cepat saji Pearson Correlation .630** .497*
Sig. (2-tailed) .003 .026
N 20 20
rasa yang enak Pearson Correlation 1 .544*
Sig. (2-tailed) .013
N 20 20
kualitas kesehatan terjamin Pearson Correlation .544* 1
Sig. (2-tailed) .013
N 20 20
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT JUM_Y /METHOD=ENTER JUM_X /SAVE PRED RESID.
Regression
Notes
Output Created 26-JUN-2016 11:13:39
Comments
Input Data C:\Users\DECKO-83\Documents\tgs
pak iwan arif.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File20
Missing Value Handling 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)
/NOORIGIN
/DEPENDENT JUM_Y
/METHOD=ENTER JUM_X
/SAVE PRED RESID.
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.15
Memory Required 2720 bytes
Additional Memory Required
for Residual Plots0 bytes
Variables Created or
Modified
PRE_1 Unstandardized Predicted Value
RES_1 Unstandardized Residual
Variables Entered/Removeda
Model
Variables
Entered
Variables
Removed Method
1 JUM_Xb . Enter
a. Dependent Variable: JUM_Y
b. All requested variables entered.
Model Summaryb
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .599a .359 .323 1.47637
a. Predictors: (Constant), JUM_X
b. Dependent Variable: JUM_Y
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1 Regression 21.966 1 21.966 10.077 .005b
Residual 39.234 18 2.180
Total 61.200 19
a. Dependent Variable: JUM_Y
b. Predictors: (Constant), JUM_X
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) 3.931 3.753 1.047 .309
JUM_X .709 .223 .599 3.175 .005
a. Dependent Variable: JUM_Y
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 13.8514 18.1029 15.8000 1.07522 20
Residual -2.39429 2.31429 .00000 1.43700 20
Std. Predicted Value -1.812 2.142 .000 1.000 20
Std. Residual -1.622 1.568 .000 .973 20
a. Dependent Variable: JUM_Y