DATA EKONOMETRIK

UJI VALIDITAS X1 ( Bukti Fisik )


Df : N- 2
96- 2 : 94
r Tabel : 0,1689
rHitung > rTabel
X11 0,530 > 0,1689
X12 0,587 > 0,1689
X13 0,725 > 0,1689
X14 0,627 > 0,1689
X15 0,443 > 0,1689

Maka indicator X11,X12,X13,X14,X15 Valid

Item-Total Statistics

Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted
x11 13.45 7.576 .530 .776
x12 13.12 7.984 .587 .758
x13 14.32 6.705 .725 .708
x14 14.10 7.021 .627 .743
x15 13.21 8.819 .443 .797


Nilai Cronbach’s alpha : 0,797 > 0,6
Maka dapat disimpulkan variable X1 ( Bukti fisik ) bersifat reliabel

Reliability Statistics

Cronbach's Alpha N of Items
.797 5

UJI VALIDITAS X2 ( Kehandalan )

Df : N- 2
96- 2 : 94
r Tabel : 0,1689
rHitung > rTabel
X21 0,517 > 0,1689
X22 0,514 > 0,1689
X23 0, 647 > 0,1689
X24 0,510 > 0,1689
X25 0,647 > 0,1689

Maka indicator X21,X22,X23,X24,X25 Valid

Item-Total Statistics

Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted
x21 14.17 6.772 .517 .763
x22 14.04 6.398 .514 .761
x23 14.72 5.552 .647 .717
x24 14.34 5.975 .510 .766
x25 14.40 5.442 .647 .716

Nilai Cronbach’s alpha : 0,786 > 0,6
Maka dapat disimpulkan variable X2 ( Kehandalan ) bersifat reliabel

Reliability Statistics

Cronbach's Alpha N of Items
.786 5

UJI VALIDITAS X3 ( Daya tanggap )

Df : N- 2
96- 2 : 94
r Tabel : 0,1689
rHitung > rTabel
X31 0,632 > 0,1689
X32 0,686 > 0,1689
X33 0,563 > 0,1689
X34 0,777 > 0,1689
X35 0,648 > 0,1689

Maka indicator X31,X32,X33,X34,X35 Valid

Item-Total Statistics

Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted
x31 14.20 8.413 .632 .825
x32 14.16 8.302 .686 .812
x33 13.72 9.046 .563 .842
x34 14.25 7.137 .777 .784
x35 14.30 7.918 .648 .822

Nilai Cronbach’s alpha : 0,849 > 0,6
Maka dapat disimpulkan variable X3 ( Daya tanggap ) bersifat reliab


Reliability Statistics

Cronbach's Alpha N of Items
.849 .5


UJI VALIDITAS X4 ( Jaminan )


Df : N- 2
96- 2 : 94
r Tabel : 0,1689
rHitung > rTabel
X41 0,613 > 0,1689
X42 0,551 > 0,1689
X43 0,626 > 0,1689
X44 0,507 > 0,1689
X45 0,638 > 0,1689
Maka indicator X41,X42,X43,X44,X45 Valid

Item-Total Statistics

Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted
x41 14.31 8.175 .613 .745
x42 14.65 8.905 .551 .766
x43 14.58 8.793 .626 .748
x44 14.65 7.747 .507 .790
x45 14.52 7.663 .638 .736

Nilai Cronbach’s alpha : 0,796 > 0,6
Maka dapat disimpulkan variable X4 ( Jaminan ) bersifat reliabel

Reliability Statistics

Cronbach's Alpha N of Items
.796 5

UJI VALIDITAS X5 ( Emphaty )

Df : N- 2
96- 2 : 94
r Tabel : 0,1689
rHitung > rTabel
X51 0,612 > 0,1689
X52 0,659 > 0,1689
X53 0,703 > 0,1689
X54 0,567 > 0,1689
X55 0,635 > 0,1689
Maka indicator X51,X52,X53,X54,X55 Valid
Item-Total Statistics

Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted
x51 12.95 8.766 .612 .806
x52 12.56 8.459 .659 .792
x53 12.67 8.351 .703 .780
x54 12.32 8.726 .567 .820
x55 12.50 9.137 .635 .801

Nilai Cronbach’s alpha : 0,833 > 0,6
Maka dapat disimpulkan variable X5 ( Emphaty ) bersifat reliabel

Reliability Statistics

Cronbach's Alpha N of Items
.833 5

UJI VALIDITAS Y( Kepuasan )


Df : N- 2
96- 2 : 94
r Tabel : 0,1689
rHitung > rTabel
y1 0,464 > 0,1689
y2 0,726 > 0,1689
y3 0,631 > 0,1689
y4 0,698 > 0,1689
y5 0,583 > 0,1689
Maka indicator y1,y2,y3,y4,y5 Valid
Item-Total Statistics

Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted
y1 13.93 7.774 .464 .836
y2 13.41 7.781 .726 .747
y3 13.45 8.334 .631 .775
y4 13.34 7.891 .698 .755
y5 13.42 7.888 .583 .787

Nilai Cronbach’s alpha : 0,816> 0,6
Maka dapat disimpulkan variable Y ( Kepuasan) bersifat reliabel

Reliability Statistics

Cronbach's Alpha N of Items
.816 5

UJI PENYIMPANGAN ASUMSI KLASIK

A. MULTIKOLINIERITAS

VIF TOLERANCE
X1 2.223 < 10 X1 0,450 > 0,1
X2 2,977 < 10 X2 0,336 > 0,1
X3 5,041 < 10 X3 0,198 > 0,1
X4 5,216 < 10 X4 0,141 > 0,1
X5 4,002 < 10 X5 0,250 > 0,1

Sehigga model regresi X1,X2,X3,X4,X5 adalah Bebas multikolinieritas
Coefficients(a)

Model Unstandardized Coefficients Standardized Coefficients t Sig. Correlations Collinearity Statistics
B Std. Error Beta Zero-order Partial Part Tolerance VIF
1 (Constant) 1.040 1.243 .837 .405
Bukti fisik .229 .085 .224 2.682 .009 .713 .272 .150 .450 2.223
Kehandalan .032 .111 .027 .284 .777 .659 .030 .016 .336 2.977
Daya tanggap .086 .123 .087 .697 .488 .755 .073 .039 .198 5.041
Jaminan .316 .126 .322 2.521 .013 .806 .257 .141 .192 5.216
Emphaty .261 .107 .274 2.446 .016 .786 .250 .137 .250 4.002
a Dependent Variable: kepuasan

B. NORMALITAS

One sample Kolmogorov-Smirnov Test
Probabilitas Signifikansi (Asymp.Sig 0 : 0,391 > 0,05
Sehingga model regresi normal

One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual
N 96
Normal Parameters(a,b) Mean .0000000
Std. Deviation 1.82670989
Most Extreme Differences Absolute .098
Positive .098
Negative -.043
Kolmogorov-Smirnov Z .957
Asymp. Sig. (2-tailed) .319
a Test distribution is Normal.
b Calculated from data.

C.HETEROSKEDASTISITAS

UJI GLEJSER

1. X1 variabel ( bukti fisik ) nilai sig.Uji t 0,390 > 0,05 sehingga variable X1 bebas hetero
2. X2 variabel ( kehandalan ) nilai sig.Uji t 0,254 > 0,05 sehingga variable X2 bebas hetero
3. X3 variabel ( daya tanggap) nilai sig. Uji t 0,744 > 0,05 sehingga variable X3 bebas hetero
4. X4 variabel ( jaminan ) nilai sig Uji t 0,556 > 0,05 sehingga variable X4 bebas hetero
5. X5 variabel ( emphaty ) nilai sig Uji t 0,003 < 0,05 sehingga variable X5 kena hetero
6. Nilai sig Uji f variable X1,X2,X3,X4,X5 adalah 0,047 < 0,05 sehingga model regresi variable X1,X2,X3,X4,X5 kena hetero

Coefficients(a)

Model Unstandardized Coefficients Standardized Coefficients t Sig. Correlations Collinearity Statistics
B Std. Error Beta Zero-order Partial Part Tolerance VIF
1 (Constant) 1.087 .766 1.420 .159
Bukti fisik .045 .053 .128 .863 .390 -.015 .091 .086 .450 2.223
Kehandalan .079 .068 .196 1.148 .254 .013 .120 .114 .336 2.977
Daya tanggap .025 .076 .073 .327 .744 -.046 .034 .032 .198 5.041
Jaminan .046 .077 .134 .592 .556 -.087 .062 .059 .192 5.216
Emphaty -.201 .066 -.607 -3.058 .003 -.214 -.307 -.303 .250 4.002
a Dependent Variable: ABS_URES

ANOVA(b)

Model Sum of Squares df Mean Square F Sig.
1 Regression 15.708 5 3.142 2.349 .047(a)
Residual 120.361 90 1.337
Total 136.068 95
a Predictors: (Constant), Emphaty, Bukti fisik, Kehandalan, Daya tanggap, Jaminan
b Dependent Variable: ABS_URES

PERSAMAAN REGRESI

• R (Koefisien Korelasi ) : 0,848. artinya hubungan antara variable X1,X2,X3,X4,dan X5 dengan Y adalah positif dan sangat kuat
• Adjustd r Square sebesar 0,703.artinya kemampuan variable independent secara bersama sama dalam menerangkan perubahan perubahan variable dependen sebesar 70,3%.sedangkan sisanya sebesar 29.7% diterangkan oleh factor factor lain diluar variable yang dianalisis dalam model regresi.

Model Summary(b)

Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson
1 .848(a) .718 .703 1.877 1.880
a Predictors: (Constant), Emphaty, Bukti fisik, Kehandalan, Daya tanggap, Jaminan
b Dependent Variable: kepuasan

• ANOVA

Sig uji f : 0,000 < 0,05 sehingga Ho ditolak , artinya variable independent berpengaruh terhadap variable dependen

ANOVA(b)

Model Sum of Squares df Mean Square F Sig.
1 Regression 808.737 5 161.747 45.922 .000(a)
Residual 317.003 90 3.522
Total 1125.740 95
a Predictors: (Constant), Emphaty, Bukti fisik, Kehandalan, Daya tanggap, Jaminan
b Dependent Variable: kepuasan

Coefficients(a)

Model Unstandardized Coefficients Standardized Coefficients t Sig. Correlations Collinearity Statistics
B Std. Error Beta Zero-order Partial Part Tolerance VIF
1 (Constant) 1.040 1.243 .837 .405
Bukti fisik .229 .085 .224 2.682 .009 .713 .272 .150 .450 2.223
Kehandalan .032 .111 .027 .284 .777 .659 .030 .016 .336 2.977
Daya tanggap .086 .123 .087 .697 .488 .755 .073 .039 .198 5.041
Jaminan .316 .126 .322 2.521 .013 .806 .257 .141 .192 5.216
Emphaty .261 .107 .274 2.446 .016 .786 .250 .137 .250 4.002
a Dependent Variable: kepuasan

 Coeffisien

Persamaan regresi Y = 1.040+0.229 X1 + 0,032 X2 + 0,86 X3 + 0,316 X4 + 0,261 X5
Makan persamaannya adalah
 Tanpa memperhatikan variable independent nilai variable Y adalah 1.040
 Semakin tingi nilai X1,semakin tinggi pula nilai Y
 Semakin tinggi nilai X2 ,semakin tinggi pula nilai Y
 Semaakin tinggi nilai X3 , semakin tinggi pula nilai Y
 Semakin tinggi nilai X4 , semakin tinggi pula nilai Y
 Semakin tinggi nilai X5 , semakin tinggi pula nilai Y

Standardized coeffisien
X1 0,224
X2 0,027
X3 0,087
X4 0,322
X5 0,274
Artinya variable X4 memiliki pengaruh paling kuat , karena nilainya paling besar
• Sig . Uji t

X1 Sig 0,009 < 0,05 sehingga Ho ditolak artinya variable X1 ( bukti fisik ) berpengaruh terhadap variable dependen
X2 Sig 0,777 > 0,05 sehingga Ho diterima artinya variable X2 ( kehandalan ) tidak berpengaruh terhadap variable dependen
X3 Sig 0,488 > 0,05 sehingga Ho diterima artinya variable X3 ( Daya tanggap ) tidak berpengaruh terhadap variable dependen
X4 Sig 0,013 < 0,05 sehingga Ho ditolak artinya variable X4 ( Jaminan ) berpengaruh terhadap variable dependen
X5 Sig 0,016 < 0,05 sehingga Ho ditolak artinya variable X5 ( Emphaty ) berpengaruh terhadap variable dependen