Pengaruh keputusan
pembelian dari factor kualitas produk,harga dan brand image di toko jilbab
muslimah
Dosen pengampu
:Dr.supawi pawenang,SE,MM
NAMA:ELY ARIYANI
PRATAMA
NPM:2016020301
KELAS:B3 managemen
1.Judul: Pengaruh keputusan pembelian dari factor kualitas
produk,harga dan brand image di toko jilbab muslimah
2.variabel
Y=A+BIXI+B2X2+B3X3
Y=KEPUTUSAN PEMBELIAN
B1=KUALITAS PRODUK
B2=HARGA
B3=BRAND IMAGE
3.MODEL REGRESI
A.SEKEMA
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B.MATEMATIS
Y=A+BIXI+B2X2+B3X3+e
Atau
Pengaruh keputusan pembelian dari factor kualitas produk BI ,harga B2 dan brand image B3 di toko jilbab muslimah
4.DATA
A.JENIS DATA
Jenis data yang digunakaN adalah data primer
KUESIONER MINAT KONSUMEN DI TOKO HIJAB MUSLIMAH
Keterangan pilihan jawaban
SS=sangat setuju
S=setuju
TS=tidak setuju
STS=sangat tidak setuju
NO
PERNYATAAN
PILIHAN JAWABAN
SS
S
TS
STS
1
Saya meningkatkan pelayanan agar konsumen puas
Saya memberikan layanan yang paling baik
Saya ramah terhadap konsumen
Saya melayani konsumen dengan sabar
Saya cepat melayani disaat konsumen butuh saya
2
Saya mengadakan potongan harga agar konsumen minat
Saya memberi potongan harga kalau konsumen beli banyak
Saya memberi potongan jika barang brended
Saya memberi potongan kalau beli lebih dari dua
Saya akan memberi potongan jika konsumen sudah sering berlangganan
3
Saya memberikan kualitas barang paling bagus
sebelum menjual saya cek kualitas produk
Jika tidak bagus kualitasnya maka saya tidak jual
Saya memberikan kualitas yang sangat bagus bukan karna barangnya brended
Setiap barang yang akan saya jual pasti saya cek kualitasnya
8
Model dapat menarik minat konsumen
Pelayanan yang baik dapat menarik minat konsumen
Potongan harga dapat menarik minat konsumen
Melalui iklan akan tau produk saya dan konsumen akan berminat membeli
Dengan barang yang brended akan menarik minat konsumen
KUESIONER MINAT KONSUMEN DI TOKO HIJAB MUSLIMAH
Keterangan pilihan jawaban
SS=sangat setuju
S=setuju
TS=tidak setuju
STS=sangat tidak setuju
NO
PERNYATAAN
PILIHAN JAWABAN
SS
S
TS
STS
1
Saya meningkatkan pelayanan agar konsumen puas
Saya memberikan layanan yang paling baik
Saya ramah terhadap konsumen
Saya melayani konsumen dengan sabar
Saya cepat melayani disaat konsumen butuh saya
2
Saya mengadakan potongan harga agar konsumen minat
Saya memberi potongan harga kalau konsumen beli banyak
Saya memberi potongan jika barang brended
Saya memberi potongan kalau beli lebih dari dua
Saya akan memberi potongan jika konsumen sudah sering berlangganan
3
Saya memberikan kualitas barang paling bagus
sebelum menjual saya cek kualitas produk
Jika tidak bagus kualitasnya maka saya tidak jual
Saya memberikan kualitas yang sangat bagus bukan karna barangnya brended
Setiap barang yang akan saya jual pasti saya cek kualitasnya
8
Model dapat menarik minat konsumen
Pelayanan yang baik dapat menarik minat konsumen
Potongan harga dapat menarik minat konsumen
Melalui iklan akan tau produk saya dan konsumen akan berminat membeli
Dengan barang yang brended akan menarik minat konsumen
JI VALIDITAS
Variabel Y “Minat Konsumen”
Correlations
MK1
MK2
MK3
MK4
MK5
MK
MK1
Pearson Correlation
1
.319
-.060
.029
.100
.487**
Sig. (2-tailed)
.062
.731
.867
.570
.003
N
35
35
35
35
35
35
MK2
Pearson Correlation
.319
1
-.010
.157
.396*
.558**
Sig. (2-tailed)
.062
.953
.369
.019
.000
N
35
35
35
35
35
35
MK3
Pearson Correlation
-.060
-.010
1
.118
-.080
.521**
Sig. (2-tailed)
.731
.953
.498
.648
.001
N
35
35
35
35
35
35
MK4
Pearson Correlation
.029
.157
.118
1
.294
.616**
Sig. (2-tailed)
.867
.369
.498
.086
.000
N
35
35
35
35
35
35
MK5
Pearson Correlation
.100
.396*
-.080
.294
1
.490**
Sig. (2-tailed)
.570
.019
.648
.086
.003
N
35
35
35
35
35
35
MK
Pearson Correlation
.487**
.558**
.521**
.616**
.490**
1
Sig. (2-tailed)
.003
.000
.001
.000
.003
N
35
35
35
35
35
35
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
Variabel X1 “Kualitas Produk”
Correlations
KP1
KP2
KP3
KP4
KP5
KP
KP1
Pearson Correlation
1
.352*
-.038
.057
.096
.495**
Sig. (2-tailed)
.038
.829
.744
.584
.003
N
35
35
35
35
35
35
KP2
Pearson Correlation
.352*
1
.081
-.176
.085
.415*
Sig. (2-tailed)
.038
.643
.311
.629
.013
N
35
35
35
35
35
35
KP3
Pearson Correlation
-.038
.081
1
.307
-.136
.592**
Sig. (2-tailed)
.829
.643
.072
.434
.000
N
35
35
35
35
35
35
KP4
Pearson Correlation
.057
-.176
.307
1
-.077
.515**
Sig. (2-tailed)
.744
.311
.072
.659
.002
N
35
35
35
35
35
35
KP5
Pearson Correlation
.096
.085
-.136
-.077
1
.411*
Sig. (2-tailed)
.584
.629
.434
.659
.014
N
35
35
35
35
35
35
KP
Pearson Correlation
.495**
.415*
.592**
.515**
.411*
1
Sig. (2-tailed)
.003
.013
.000
.002
.014
N
35
35
35
35
35
35
*. Correlation is significant at the 0.05 level (2-tailed).
**. Correlation is significant at the 0.01 level (2-tailed).
Variabel X2 “Daya Tarik Iklan”
Correlations
DTI1
DTI2
DTI3
DTI4
DTI5
DTI
DTI1
Pearson Correlation
1
.044
.073
-.032
-.104
.396*
Sig. (2-tailed)
.803
.679
.857
.552
.019
N
35
35
35
35
35
35
DTI2
Pearson Correlation
.044
1
.251
-.158
.212
.655**
Sig. (2-tailed)
.803
.145
.365
.222
.000
N
35
35
35
35
35
35
DTI3
Pearson Correlation
.073
.251
1
-.117
-.189
.469**
Sig. (2-tailed)
.679
.145
.505
.277
.004
N
35
35
35
35
35
35
DTI4
Pearson Correlation
-.032
-.158
-.117
1
.552**
.398*
Sig. (2-tailed)
.857
.365
.505
.001
.018
N
35
35
35
35
35
35
DTI5
Pearson Correlation
-.104
.212
-.189
.552**
1
.515**
Sig. (2-tailed)
.552
.222
.277
.001
.002
N
35
35
35
35
35
35
DTI
Pearson Correlation
.396*
.655**
.469**
.398*
.515**
1
Sig. (2-tailed)
.019
.000
.004
.018
.002
N
35
35
35
35
35
35
*. Correlation is significant at the 0.05 level (2-tailed).
**. Correlation is significant at the 0.01 level (2-tailed).
Variabel X3 “Kualitas Pelayanan”
Correlations
KL1
KL2
KL3
KL4
KL5
KL
KL1
Pearson Correlation
1
-.263
-.058
-.206
-.159
.051
Sig. (2-tailed)
.127
.742
.236
.362
.773
N
35
35
35
35
35
35
KL2
Pearson Correlation
-.263
1
.217
.169
.018
.598**
Sig. (2-tailed)
.127
.211
.331
.919
.000
N
35
35
35
35
35
35
KL3
Pearson Correlation
-.058
.217
1
.357*
.004
.574**
Sig. (2-tailed)
.742
.211
.035
.981
.000
N
35
35
35
35
35
35
KL4
Pearson Correlation
-.206
.169
.357*
1
.319
.609**
Sig. (2-tailed)
.236
.331
.035
.062
.000
N
35
35
35
35
35
35
KL5
Pearson Correlation
-.159
.018
.004
.319
1
.533**
Sig. (2-tailed)
.362
.919
.981
.062
.001
N
35
35
35
35
35
35
KL
Pearson Correlation
.051
.598**
.574**
.609**
.533**
1
Sig. (2-tailed)
.773
.000
.000
.000
.001
N
35
35
35
35
35
35
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
UJI REABILITAS
1. Variabel Y “Minat Konsumen”
Case Processing Summary
N
%
Cases
Valid
35
100.0
Excludeda
0
.0
Total
35
100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's Alpha
N of Items
.321
5
2. Variabel X1 “Kualitas Produk”
Case Processing Summary
N
%
Cases
Valid
35
100.0
Excludeda
0
.0
Total
35
100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's Alpha
N of Items
.213
5
3. Variabel X2 “Daya Tarik Iklan”
Case Processing Summary
N
%
Cases
Valid
35
100.0
Excludeda
0
.0
Total
35
100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's Alpha
N of Items
.183
5
Variabel X3 “Kualitas Pelayanan”
Case Processing Summary
N
%
Cases
Valid
35
100.0
Excludeda
0
.0
Total
35
100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's Alpha
N of Items
.213
5
STATISTIK DESKRIPTIVE
Descriptive Statistics
N
Minimum
Maximum
Mean
Std. Deviation
MK
35
11
21
17.66
2.413
KP
35
14
23
18.29
2.150
DTI
35
18
24
20.29
1.742
KL
35
13
22
17.91
2.147
Valid N (listwise)
35
UJI ASUMSI KLASIK
Uji Normalitas
One-Sample Kolmogorov-Smirnov Test
MK
KP
DTI
KL
Unstandardized Residual
N
35
35
35
35
35
Normal Parametersa,b
Mean
17.66
18.29
20.29
17.91
.0000000
Std. Deviation
2.413
2.150
1.742
2.147
2.18042260
Most Extreme Differences
Absolute
.128
.181
.222
.144
.106
Positive
.101
.181
.222
.135
.103
Negative
-.128
-.104
-.144
-.144
-.106
Kolmogorov-Smirnov Z
.757
1.073
1.315
.855
.629
Asymp. Sig. (2-tailed)
.616
.199
.063
.458
.823
a. Test distribution is Normal.
b. Calculated from data.
Uji Multikolinearitas
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
10.462
4.949
2.114
.043
KP
.185
.295
.165
.627
.535
DTI
-.155
.294
-.112
-.528
.601
KL
.389
.243
.346
1.600
.120
a. Dependent Variable: MK
Uji Heteroskedastistas
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
10.462
4.949
2.114
.043
KP
.185
.295
.165
.627
.535
DTI
-.155
.294
-.112
-.528
.601
KL
.389
.243
.346
1.600
.120
a. Dependent Variable: MK
Uji Autokorelasi
Model Summaryb
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
Durbin-Watson
1
.428a
.183
.104
2.283
1.649
a. Predictors: (Constant), KL, DTI, KP
b. Dependent Variable: MK
ANALISIS REGRESI LINIER
Uji Ketepatan Model
Interpletasi Hasil Persamaan Regresi Linier
Residuals Statisticsa
Minimum
Maximum
Mean
Std. Deviation
N
Predicted Value
15.68
19.85
17.66
1.032
35
Residual
-4.932
3.803
.000
2.180
35
Std. Predicted Value
-1.916
2.124
.000
1.000
35
Std. Residual
-2.160
1.665
.000
.955
35
a. Dependent Variable: MK
Interpletasi Hasil Uji F
ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
36.241
3
12.080
2.317
.095b
Residual
161.644
31
5.214
Total
197.886
34
a. Dependent Variable: MK
b. Predictors: (Constant), KL, DTI, KP
Interpletasi Hasil Koefisieni Determinasi
Model Summaryb
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
Durbin-Watson
1
.428a
.183
.104
2.283
1.649
a. Predictors: (Constant), KL, DTI, KP
b. Dependent Variable: MK
Interpletasi Hasil Uji T
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
10.462
4.949
2.114
.043
KP
.185
.295
.165
.627
.535
DTI
-.155
.294
-.112
-.528
.601
KL
.389
.243
.346
1.600
.120
a. Dependent Variable: MK
Variabel Y “Minat Konsumen”
Correlations
MK1
MK2
MK3
MK4
MK5
MK
MK1
Pearson Correlation
1
.319
-.060
.029
.100
.487**
Sig. (2-tailed)
.062
.731
.867
.570
.003
N
35
35
35
35
35
35
MK2
Pearson Correlation
.319
1
-.010
.157
.396*
.558**
Sig. (2-tailed)
.062
.953
.369
.019
.000
N
35
35
35
35
35
35
MK3
Pearson Correlation
-.060
-.010
1
.118
-.080
.521**
Sig. (2-tailed)
.731
.953
.498
.648
.001
N
35
35
35
35
35
35
MK4
Pearson Correlation
.029
.157
.118
1
.294
.616**
Sig. (2-tailed)
.867
.369
.498
.086
.000
N
35
35
35
35
35
35
MK5
Pearson Correlation
.100
.396*
-.080
.294
1
.490**
Sig. (2-tailed)
.570
.019
.648
.086
.003
N
35
35
35
35
35
35
MK
Pearson Correlation
.487**
.558**
.521**
.616**
.490**
1
Sig. (2-tailed)
.003
.000
.001
.000
.003
N
35
35
35
35
35
35
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
Variabel X1 “Kualitas Produk”
Correlations
KP1
KP2
KP3
KP4
KP5
KP
KP1
Pearson Correlation
1
.352*
-.038
.057
.096
.495**
Sig. (2-tailed)
.038
.829
.744
.584
.003
N
35
35
35
35
35
35
KP2
Pearson Correlation
.352*
1
.081
-.176
.085
.415*
Sig. (2-tailed)
.038
.643
.311
.629
.013
N
35
35
35
35
35
35
KP3
Pearson Correlation
-.038
.081
1
.307
-.136
.592**
Sig. (2-tailed)
.829
.643
.072
.434
.000
N
35
35
35
35
35
35
KP4
Pearson Correlation
.057
-.176
.307
1
-.077
.515**
Sig. (2-tailed)
.744
.311
.072
.659
.002
N
35
35
35
35
35
35
KP5
Pearson Correlation
.096
.085
-.136
-.077
1
.411*
Sig. (2-tailed)
.584
.629
.434
.659
.014
N
35
35
35
35
35
35
KP
Pearson Correlation
.495**
.415*
.592**
.515**
.411*
1
Sig. (2-tailed)
.003
.013
.000
.002
.014
N
35
35
35
35
35
35
*. Correlation is significant at the 0.05 level (2-tailed).
**. Correlation is significant at the 0.01 level (2-tailed).
Variabel X2 “Daya Tarik Iklan”
Correlations
DTI1
DTI2
DTI3
DTI4
DTI5
DTI
DTI1
Pearson Correlation
1
.044
.073
-.032
-.104
.396*
Sig. (2-tailed)
.803
.679
.857
.552
.019
N
35
35
35
35
35
35
DTI2
Pearson Correlation
.044
1
.251
-.158
.212
.655**
Sig. (2-tailed)
.803
.145
.365
.222
.000
N
35
35
35
35
35
35
DTI3
Pearson Correlation
.073
.251
1
-.117
-.189
.469**
Sig. (2-tailed)
.679
.145
.505
.277
.004
N
35
35
35
35
35
35
DTI4
Pearson Correlation
-.032
-.158
-.117
1
.552**
.398*
Sig. (2-tailed)
.857
.365
.505
.001
.018
N
35
35
35
35
35
35
DTI5
Pearson Correlation
-.104
.212
-.189
.552**
1
.515**
Sig. (2-tailed)
.552
.222
.277
.001
.002
N
35
35
35
35
35
35
DTI
Pearson Correlation
.396*
.655**
.469**
.398*
.515**
1
Sig. (2-tailed)
.019
.000
.004
.018
.002
N
35
35
35
35
35
35
*. Correlation is significant at the 0.05 level (2-tailed).
**. Correlation is significant at the 0.01 level (2-tailed).
Variabel X3 “Kualitas Pelayanan”
Correlations
KL1
KL2
KL3
KL4
KL5
KL
KL1
Pearson Correlation
1
-.263
-.058
-.206
-.159
.051
Sig. (2-tailed)
.127
.742
.236
.362
.773
N
35
35
35
35
35
35
KL2
Pearson Correlation
-.263
1
.217
.169
.018
.598**
Sig. (2-tailed)
.127
.211
.331
.919
.000
N
35
35
35
35
35
35
KL3
Pearson Correlation
-.058
.217
1
.357*
.004
.574**
Sig. (2-tailed)
.742
.211
.035
.981
.000
N
35
35
35
35
35
35
KL4
Pearson Correlation
-.206
.169
.357*
1
.319
.609**
Sig. (2-tailed)
.236
.331
.035
.062
.000
N
35
35
35
35
35
35
KL5
Pearson Correlation
-.159
.018
.004
.319
1
.533**
Sig. (2-tailed)
.362
.919
.981
.062
.001
N
35
35
35
35
35
35
KL
Pearson Correlation
.051
.598**
.574**
.609**
.533**
1
Sig. (2-tailed)
.773
.000
.000
.000
.001
N
35
35
35
35
35
35
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
UJI REABILITAS
1. Variabel Y “Minat Konsumen”
Case Processing Summary
N
%
Cases
Valid
35
100.0
Excludeda
0
.0
Total
35
100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's Alpha
N of Items
.321
5
2. Variabel X1 “Kualitas Produk”
Case Processing Summary
N
%
Cases
Valid
35
100.0
Excludeda
0
.0
Total
35
100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's Alpha
N of Items
.213
5
3. Variabel X2 “Daya Tarik Iklan”
Case Processing Summary
N
%
Cases
Valid
35
100.0
Excludeda
0
.0
Total
35
100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's Alpha
N of Items
.183
5
Variabel X3 “Kualitas Pelayanan”
Case Processing Summary
N
%
Cases
Valid
35
100.0
Excludeda
0
.0
Total
35
100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's Alpha
N of Items
.213
5
STATISTIK DESKRIPTIVE
Descriptive Statistics
N
Minimum
Maximum
Mean
Std. Deviation
MK
35
11
21
17.66
2.413
KP
35
14
23
18.29
2.150
DTI
35
18
24
20.29
1.742
KL
35
13
22
17.91
2.147
Valid N (listwise)
35
UJI ASUMSI KLASIK
Uji Normalitas
One-Sample Kolmogorov-Smirnov Test
MK
KP
DTI
KL
Unstandardized Residual
N
35
35
35
35
35
Normal Parametersa,b
Mean
17.66
18.29
20.29
17.91
.0000000
Std. Deviation
2.413
2.150
1.742
2.147
2.18042260
Most Extreme Differences
Absolute
.128
.181
.222
.144
.106
Positive
.101
.181
.222
.135
.103
Negative
-.128
-.104
-.144
-.144
-.106
Kolmogorov-Smirnov Z
.757
1.073
1.315
.855
.629
Asymp. Sig. (2-tailed)
.616
.199
.063
.458
.823
a. Test distribution is Normal.
b. Calculated from data.
Uji Multikolinearitas
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
10.462
4.949
2.114
.043
KP
.185
.295
.165
.627
.535
DTI
-.155
.294
-.112
-.528
.601
KL
.389
.243
.346
1.600
.120
a. Dependent Variable: MK
Uji Heteroskedastistas
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
10.462
4.949
2.114
.043
KP
.185
.295
.165
.627
.535
DTI
-.155
.294
-.112
-.528
.601
KL
.389
.243
.346
1.600
.120
a. Dependent Variable: MK
Uji Autokorelasi
Model Summaryb
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
Durbin-Watson
1
.428a
.183
.104
2.283
1.649
a. Predictors: (Constant), KL, DTI, KP
b. Dependent Variable: MK
ANALISIS REGRESI LINIER
Uji Ketepatan Model
Interpletasi Hasil Persamaan Regresi Linier
Residuals Statisticsa
Minimum
Maximum
Mean
Std. Deviation
N
Predicted Value
15.68
19.85
17.66
1.032
35
Residual
-4.932
3.803
.000
2.180
35
Std. Predicted Value
-1.916
2.124
.000
1.000
35
Std. Residual
-2.160
1.665
.000
.955
35
a. Dependent Variable: MK
Interpletasi Hasil Uji F
ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
36.241
3
12.080
2.317
.095b
Residual
161.644
31
5.214
Total
197.886
34
a. Dependent Variable: MK
b. Predictors: (Constant), KL, DTI, KP
Interpletasi Hasil Koefisieni Determinasi
Model Summaryb
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
Durbin-Watson
1
.428a
.183
.104
2.283
1.649
a. Predictors: (Constant), KL, DTI, KP
b. Dependent Variable: MK
Interpletasi Hasil Uji T
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
10.462
4.949
2.114
.043
KP
.185
.295
.165
.627
.535
DTI
-.155
.294
-.112
-.528
.601
KL
.389
.243
.346
1.600
.120
a. Dependent Variable: MK
