BAB V KESIMPULAN
5.2 Saran
5.2.2 Bagi Peneliti Selanjutnya
Saran yang dapat diberikan kepada peneliti selanjutnya yang ingin meneliti tema tentang restoran di Indonesia adalah sebagai berikut:
1. Melakukan pengujian kembali dengan menggunakan penelitian yang serupa, namun ada baiknya jika mengganti objek yang berbeda dari penelitian yang telah dilakukan. Hal tersebut bertujuan untuk melihat apakah hasil pada objek yang berbeda memiliki perbedaan yang lebih baik.
2. Menambahkan variabel atau faktor-faktor lain yang dapat mempengaruhi kepuasan konsumen. Jika penelitian selanjutnya menggunakan kuesioner online, ada baiknya setiap indikator dari masing-masing variabel diperhatikan agar responden dapat
memahami maksud dari pertanyaan yang diberikan dan hasil yang diperoleh nantinya dapat sesuai dengan keinginan yang akan dicapai.
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LAMPIRAN
Lampiran 1: Kuesioner Penelitian
Lampiran 1: Kuesioner Penelitian (Lanjutan)
Lampiran 1: Kuesioner Penelitian (Lanjutan)
Lampiran 1: Kuesioner Penelitian (Lanjutan)
Lampiran 1: Kuesioner Penelitian (Lanjutan)
Lampiran 1: Kuesioner Penelitian (Lanjutan)
Lampiran 1: Kuesioner Penelitian (Lanjutan)
Lampiran 1: Kuesioner Penelitian (Lanjutan)
Lampiran 2: Hasil Uji Validitas Pre-test 1. Service Quality
KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .741 Bartlett's Test of Sphericity Approx. Chi-Square 74.668
df 6
Sig. .000
Anti-image Matrices
SQ1 SQ2 SQ3 SQ4
Anti-image Covariance SQ1 .679 -.151 -.242 -.166
SQ2 -.151 .832 -.089 -.127
SQ3 -.242 -.089 .707 -.167
SQ4 -.166 -.127 -.167 .756
Anti-image Correlation SQ1 .711a -.201 -.349 -.232
SQ2 -.201 .796a -.115 -.160
SQ3 -.349 -.115 .722a -.229
SQ4 -.232 -.160 -.229 .765a
a. Measures of Sampling Adequacy (MSA)
Component Matrixa
Component
1
SQ1 .787
SQ2 .642
SQ3 .760
SQ4 .728
Extraction Method:
Principal Component Analysis.
a. 1 components extracted.
Lampiran 2: Hasil Uji Validitas Pre-test (Lanjutan) 2. Price Fairness
KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .813 Bartlett's Test of Sphericity Approx. Chi-Square 160.503
df 6
Sig. .000
Anti-image Matrices
PF1 PF2 PF3 PF4
Anti-image Covariance PF1 .538 -.145 -.183 -.095
PF2 -.145 .545 -.156 -.129
PF3 -.183 -.156 .487 -.146
PF4 -.095 -.129 -.146 .623
Anti-image Correlation PF1 .809a -.267 -.358 -.165
PF2 -.267 .819a -.303 -.221
PF3 -.358 -.303 .784a -.266
PF4 -.165 -.221 -.266 .849a
a. Measures of Sampling Adequacy (MSA)
Component Matrixa
Component
1
PF1 .823
PF2 .823
PF3 .852
PF4 .777
Extraction Method:
Principal Component Analysis.
a. 1 components extracted.
Lampiran 2: Hasil Uji Validitas Pre-test (Lanjutan) 3. Food Quality
KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .832 Bartlett's Test of Sphericity Approx. Chi-Square 277.255
df 15
Sig. .000
Anti-image Matrices
FQ1 FQ2 FQ3 FQ4
Anti-image Covariance FQ1 .579 -.098 -.125 .003
FQ2 -.098 .514 -.227 -.101
FQ3 -.125 -.227 .534 .033
FQ4 .003 -.101 .033 .502
FQ5 -.167 -.006 -.011 -.083
FQ6 -.023 -.028 -.081 -.208
Anti-image Correlation FQ1 .868a -.180 -.224 .006
FQ2 -.180 .832a -.433 -.198
FQ3 -.224 -.433 .816a .064
FQ4 .006 -.198 .064 .818a
FQ5 -.309 -.011 -.021 -.166
FQ6 -.047 -.061 -.172 -.458
a. Measures of Sampling Adequacy (MSA)
Component Matrixa Component
1
FQ1 .739
FQ2 .766
FQ3 .737
FQ4 .752
FQ5 .779
FQ6 .825
Extraction Method:
Principal Component Analysis.
a. 1 components extracted.
Lampiran 2: Hasil Uji Validitas Pre-test (Lanjutan) 4. Customer Satisfaction
KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .862 Bartlett's Test of Sphericity Approx. Chi-Square 250.083
df 10
Sig. .000
Anti-image Matrices
CS1 CS2 CS3 CS4
Anti-image Covariance CS1 .578 .006 -.094 -.116
CS2 .006 .457 -.154 -.131
CS3 -.094 -.154 .454 -.121
CS4 -.116 -.131 -.121 .446
CS5 -.158 -.121 -.059 -.077
Anti-image Correlation CS1 .871a .012 -.184 -.228
CS2 .012 .843a -.337 -.291
CS3 -.184 -.337 .860a -.269
CS4 -.228 -.291 -.269 .863a
CS5 -.288 -.249 -.123 -.159
a. Measures of Sampling Adequacy (MSA)
Component Matrixa
Component
1
CS1 .759
CS2 .826
CS3 .837
CS4 .845
CS5 .806
Extraction Method:
Principal Component Analysis.
a. 1 components extracted.
Lampiran 2: Hasil Uji Validitas Pre-test (Lanjutan) 5. Price Fairness
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .688 Bartlett's Test of Sphericity Approx. Chi-Square 91.573
df 3
Sig. .000
Anti-image Matrices
RI1 RI2 RI3
Anti-image Covariance RI1 .543 -.262 -.237
RI2 -.262 .618 -.131
RI3 -.237 -.131 .654
Anti-image Correlation RI1 .649a -.453 -.398
RI2 -.453 .700a -.206
RI3 -.398 -.206 .729a
a. Measures of Sampling Adequacy (MSA)
Component Matrixa
Component
1
RI1 .869
RI2 .825
RI3 .807
Extraction Method:
Principal Component Analysis.
a. 1 components extracted.
Lampiran 3: Hasil Uji Reliabilitas Pre-test 1. Service Quality
Reliability Statistics Cronbach's
Alpha N of Items
.698 4
2. Price Fairness
Reliability Statistics Cronbach's
Alpha N of Items
.834 4
3. Food Quality
Reliability Statistics Cronbach's
Alpha N of Items
.858 6
4. Customer Satisfaction
Reliability Statistics Cronbach's
Alpha N of Items
.873 5
5. Revisit Intention
Reliability Statistics Cronbach's
Alpha N of Items
.781 3
Lampiran 4: Path Diagram Measurement Model
Lampiran 5: Output Standardized Regression Weight
Standardized Regression Weights: (Group number 1 - Default model)
Estimate SQ4 <--- SQ ,622 SQ3 <--- SQ ,725 SQ2 <--- SQ ,820 SQ1 <--- SQ ,643 FQ6 <--- FQ ,772 FQ5 <--- FQ ,790 FQ4 <--- FQ ,811 FQ3 <--- FQ ,790 FQ2 <--- FQ ,693 FQ1 <--- FQ ,681 PF4 <--- PF ,790 PF3 <--- PF ,745 PF2 <--- PF ,790 PF1 <--- PF ,652 CS5 <--- CS ,825 CS4 <--- CS ,813 CS3 <--- CS ,651 CS2 <--- CS ,883 CS1 <--- CS ,688 RI3 <--- RI ,721 RI2 <--- RI ,800 RI1 <--- RI ,886
Lampiran 6: Structural Model
Lampiran 7: Regression Weight
Regression Weights: (Group number 1 - Default model)
Estimate S.E. C.R. P Label
CS <--- SQ ,264 ,080 3,304 ***
CS <--- FQ ,533 ,118 4,515 ***
CS <--- PF ,434 ,098 4,412 ***
RI <--- CS 1,082 ,182 5,935 ***
SQ1 <--- SQ 1,000
SQ2 <--- SQ 1,229 ,206 5,964 ***
SQ3 <--- SQ 1,133 ,195 5,817 ***
SQ4 <--- SQ ,876 ,171 5,110 ***
PF1 <--- PF 1,000
PF2 <--- PF 1,186 ,179 6,618 ***
PF3 <--- PF 1,401 ,208 6,733 ***
PF4 <--- PF 1,324 ,197 6,738 ***
FQ1 <--- FQ 1,000
FQ2 <--- FQ 1,161 ,209 5,558 ***
FQ3 <--- FQ 1,367 ,205 6,657 ***
FQ4 <--- FQ 1,254 ,182 6,871 ***
FQ5 <--- FQ 1,240 ,188 6,609 ***
FQ6 <--- FQ 1,287 ,200 6,439 ***
RI1 <--- RI 1,000
RI2 <--- RI ,977 ,123 7,949 ***
RI3 <--- RI ,950 ,141 6,754 ***
CS4 <--- CS 1,101 ,193 5,711 ***
CS5 <--- CS 1,063 ,185 5,761 ***
CS3 <--- CS ,902 ,197 4,585 ***
CS2 <--- CS 1,102 ,181 6,083 ***
CS1 <--- CS 1,000
Lampiran 8: Model Fit Summary
Computation of degrees of freedom (Default model) Number of distinct sample moments: 253 Number of distinct parameters to be estimated: 48 Degrees of freedom (253 - 48): 205
Result (Default model) Minimum was achieved Chi-square = 644,120 Degrees of freedom = 205 Probability level = ,000
CMIN
Model NPAR CMIN DF P CMIN/DF
Default model 48 644,120 205 ,000 3,142
Saturated model 253 ,000 0
Independence model 22 1987,241 231 ,000 8,603
Baseline Comparisons
Model NFI RFI IFI TLI
Delta1 rho1 Delta2 rho2 CFI
Default model ,676 ,635 ,754 ,718 ,750
Saturated model 1,000 1,000 1,000
Independence model ,000 ,000 ,000 ,000 ,000
RMSEA
Model RMSEA LO 90 HI 90 PCLOSE
Default model ,140 ,128 ,152 ,000
Independence model ,264 ,253 ,275 ,000