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BAB V KESIMPULAN

5.1 Kesimpulan

Pada sub bab ini, peniliti akan menarik kesimpulan dari hasil analisis dan pembahasan pada penelitian yang telah dilakukan. Adapun tujuan dari penelitian ini adalah untuk membuktikan hubungan variabel kualitas makanan, keadilan harga, lingkungan fisik terhadap kepuasan pelanggan yang berdampak pada loyalitas pelanggan. Pada penelitian ini menunjukkan seluruh hipotesis terbukti berpengaruh positif dan didukung oleh data. Dalam pengujian hipotesis, maka dapat disimpulkan bahwa:

1.Kualitas Makanan memiliki pengaruh positif terhadap Kepuasan Pelanggan 2.Keadilan Harga memiliki pengaruh positif terhadap Kepuasan Pelanggan 3.Lingkungan Fisik memiliki pengaruh positif terhadap Kepuasan Pelanggan 4.Kepuasan Pelanggan memiliki pengaruh positif terhadap Loyalitas Pelanggan 5.2 Saran

Hasil analisis, pembahasan, implikasi manajerial serta kesimpulan berdasarkan penelitian ini dapat dijadikan saran untuk Waroeng SS (Depok). Saran tersebut diharapkan dapat meningkatkan kepuasan dari pada pelanggan Waroeng SS (Depok) melalui faktor-faktor penentu kepuasan pelanggan pada restoran yang terdiri dar kualitas makanan, keadilan harga dan lingkungan fisik sehingga bisa menghasilkan juga meningkatkan para konsumen yang loyal terhadap Waroeng SS

(Depok). Berikut saran yang dapat diberikan kepada Waroeng SS (Depok) serta untuk penelitian selanjutnya antara lain sebagai berikut:

1.Bagi Waroeng Spesial Sambal (Depok)

a. Penyajian makanan diatas piring yang sesuai bisa dengan menambahkan garnish dengan bentuk yang menarik pada setiap menu yang dihidangkan seperti tomat yg dibuat menyerupai bunga ataupun cabai yang dipotong tipis di pinggir makanan yang akan dihidangkan. Selanjutnya, harus selalu tepat waktu dalam mengantarkan hidangan yang disajikan kepada pelanggan agar suhu makanan tetap terjaga dengan baik. Bahan makanan yang di olah harus selalu segar yang artinya sayuran atau lauk tidak boleh di olah dalam keadaan sudah lama tersimpan di dalam lemari pendingin makanan. Untuk alat perangkat penyaji makanan yang digunakan oleh para pelanggan harus selalu terjaga kebersihan nya, bebas dari debu dan kotoran yaitu dengan selalu menjaga kebersihan nya dengan mengecek setiap saat alat perangkat penyaji makanan pada saat akan diberikan kepada pelanggan b. Tetap mempertahankan keadilan harga yang ada untuk para pelanggan nya, kemudian dapat melakukan sebuah riset pasar terhadap kompetitor, apa yang membuat harga penawaran kompetitor dapat menjadi lebih murah serta menarik dibandingkan Waroeng SS, Depok. Hal ini kemudian memungkinkan dalam membantu restoran untuk mengetahui alasan penawaran harga kompetitor yang lebih murah serta menarik dan dapat menetapkan harga yang sesuai, sehingga dapat menjadikan Waroeng SS,

Depok mempunyai opsi harga yang lebih unggul dibandingkan dengan restoran yang lainnya.

c. Pada lingkungan fisik sebaiknya Waroeng SS (Depok) harus membuat atmosfer dari pada restoran dengan cara menambah dekorasi yang lebih kreatif dengan warna-warna yang lebih menarik serta interior di dalam restoran dengan menambahkan gambar-gambar menu unggulan agar menjadi nilai tambah bagi konsumen yang sulit untuk memilih menu dan juga menambah pencahayaan di dalam restoran yang memiliki sisi yang tertutup dari sinar matahari. Selanjutnya agar membuat temperatur restoran bisa lebih nyaman Waroeng SS, Depok dapat menambah lagi kipas angin atau menambah fasilitas lain nya seperti ac di dalam restoran.

d. Dalam menciptakan kepuasan, Waroeng SS, Depok perlu memperhatikan keadaan dari pada restoran. Menciptakan suasana yang nyaman serta dapat dinikmati oleh para pelanggan nya pada saat berada direstoran yaitu dapat dengan cara menanam pepohonan disekitaran area restoran dan juga membuat taman agar restoran terlihat lebih asri dan sejuk, kemudian untuk meminimalisasi kebisingan suara pelanggan yang ramai dapat dengan memutarkan lagu – lagu khas pada restoran seperti insrtrumental lagu sesuai konsep pada restoran sehingga para pelanggan dapat menikmati suasana saat berada direstoran.

e. Untuk menciptakkan ikatan yang kuat dengan para pelanggan Waroeng SS, Depok dapat membuat event seperti undian dengan cara setiap makan di restoran dengan minimal Rp.100.000-, akan mendapat kan satu voucher

undian untuk mendapatkan hadiah utama seperti Samsung S9 dan hadiah lain nya seperti voucher gratis minuman atau makanan tertentu. Kemudian dapat menciptakkan inovasi baru seperti sambal yang limited yang hanya dibuat di hari-hari tertentu sehingga membuat penasaran para pelanggan nya.

2.Bagi Peneliti Selanjutnya

a. Penelitian selanjutnya diharapkan dapat memperluas variabel-variabel lain selain variabel dalam penelitian ini seperti Kualitas Layanan.

b. Penelitian selanjutnya diharapkan dapat menggunakan kategori objek yang lain nya seperti hotel sehingga dapat memperluas bahasan didalam penelitian.

c. Selain itu penlitian ini hanya dilakukan di Depok dan dalam kurun waktu yang singkat, terhitung dari bulan Juli – Agustus 2018. Peneliti merasa akan adanya hasil yang berbeda jika penelitian ini dilakukan dalam kurun waktu yang lebih lama, dan dengan jumlah sampel yang lebih luas.

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LAMPIRAN

Lampiran 1: Kuesioner

Lampiran 1: Kuesioner (Lanjutan)

Lampiran 1: Kuesioner (Lanjutan)

Lampiran 1: Kuesioner (Lanjutan)

Lampiran 1: Kuesioner (Lanjutan)

Lampiran 1: Kuesioner (Lanjutan)

Lampiran 1: Kuesioner (Lanjutan)

Lampiran 2: Hasil Uji Validitas Pretest 1. Kualitas Makanan

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .742 Bartlett's Test of Sphericity Approx. Chi-Square 97.421

df 15

Sig. .000

Anti-image Matrices

KM1 KM2 KM3 KM4 KM5 KM6

Anti-image Covariance KM1 .591 -.190 .203 -.180 .043 -.085

KM2 -.190 .436 -.198 .002 .013 -.051

KM3 .203 -.198 .394 -.074 -.024 -.065

KM4 -.180 .002 -.074 .452 -.138 .048

KM5 .043 .013 -.024 -.138 .208 -.149

KM6 -.085 -.051 -.065 .048 -.149 .218

Anti-image Correlation KM1 .553a -.375 .421 -.348 .124 -.238

KM2 -.375 .790a -.477 .004 .043 -.164

KM3 .421 -.477 .745a -.174 -.085 -.222

KM4 -.348 .004 -.174 .793a -.451 .154

KM5 .124 .043 -.085 -.451 .735a -.699

KM6 -.238 -.164 -.222 .154 -.699 .758a

a. Measures of Sampling Adequacy(MSA)

Component Matrixa Component

1

KM1 .511

KM2 .791

KM3 .765

KM4 .782

KM5 .888

KM6 .896

Extraction Method:

Principal Component Analysis.

a. 1 components extracted.

Lampiran 2: Hasil Uji Validitas Pretest (Lanjutan) 2. Keadilan Harga

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .838 Bartlett's Test of Sphericity Approx. Chi-Square 70.404

df 6

Sig. .000

Anti-image Matrices

KH1 KH2 KH3 KH4

Anti-image Covariance KH1 .292 -.115 -.103 -.154

KH2 -.115 .357 -.133 -.069

KH3 -.103 -.133 .410 -.045

KH4 -.154 -.069 -.045 .407

Anti-image Correlation KH1 .799a -.356 -.298 -.447

KH2 -.356 .844a -.349 -.181

KH3 -.298 -.349 .864a -.109

KH4 -.447 -.181 -.109 .852a

a. Measures of Sampling Adequacy(MSA)

Component Matrixa Component

1

KH1 .916

KH2 .890

KH3 .865

KH4 .861

Extraction Method:

Principal Component Analysis.

a. 1 components extracted.

Lampiran 2: Hasil Uji Validitas Pretest (Lanjutan) 3. Lingkungan Fisik

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .777 Bartlett's Test of Sphericity Approx. Chi-Square 51.113

df 10

Sig. .000

Anti-image Matrices

LF1 LF2 LF3 LF4 LF5

Anti-image Covariance LF1 .770 -.180 -.158 .014 -.019

LF2 -.180 .757 -.084 -.022 -.066

LF3 -.158 -.084 .491 -.148 -.077

LF4 .014 -.022 -.148 .369 -.227

LF5 -.019 -.066 -.077 -.227 .399

Anti-image Correlation LF1 .802a -.236 -.258 .026 -.035

LF2 -.236 .866a -.137 -.042 -.120

LF3 -.258 -.137 .827a -.348 -.175

LF4 .026 -.042 -.348 .719a -.591

LF5 -.035 -.120 -.175 -.591 .748a

a. Measures of Sampling Adequacy(MSA)

Component Matrixa Component

1

LF1 .589

LF2 .638

LF3 .836

LF4 .846

LF5 .839

Extraction Method:

Principal Component Analysis.

a. 1 components extracted.

Lampiran 2: Hasil Uji Validitas Pretest (Lanjutan) 4. Kepuasan Pelanggan

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .737 Bartlett's Test of Sphericity Approx. Chi-Square 55.394

df 6

Sig. .000

Anti-image Matrices

KP1 KP2 KP3 KP4

Anti-image Covariance KP1 .341 -.175 -.174 -.067

KP2 -.175 .761 .074 -.078

KP3 -.174 .074 .306 -.175

KP4 -.067 -.078 -.175 .396

Anti-image Correlation KP1 .742a -.344 -.539 -.183

KP2 -.344 .732a .153 -.143

KP3 -.539 .153 .688a -.502

KP4 -.183 -.143 -.502 .793a

a. Measures of Sampling Adequacy(MSA)

Component Matrixa Component

1

KP1 .904

KP2 .588

KP3 .890

KP4 .875

Extraction Method:

Principal Component Analysis.

a. 1 components extracted.

Lampiran 2: Hasil Uji Validitas Pretest (Lanjutan) 5. Loyalitas Pelanggan

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .711 Bartlett's Test of Sphericity Approx. Chi-Square 83.076

df 10

Sig. .000

Anti-image Matrices

LP1 LP2 LP3 LP4 LP5

Anti-image Covariance LP1 .373 -.096 -.123 .096 -.066

LP2 -.096 .284 -.151 .031 -.048

LP3 -.123 -.151 .247 -.102 .031

LP4 .096 .031 -.102 .423 -.290

LP5 -.066 -.048 .031 -.290 .428

Anti-image Correlation LP1 .790a -.294 -.405 .242 -.166

LP2 -.294 .773a -.571 .091 -.136

LP3 -.405 -.571 .728a -.315 .095

LP4 .242 .091 -.315 .573a -.682

LP5 -.166 -.136 .095 -.682 .659a

a. Measures of Sampling Adequacy(MSA)

Component Matrixa Component

1 2

LP1 .801 -.437

LP2 .867 -.328

LP3 .898 -.245

LP4 .635 .692

LP5 .708 .585

Extraction Method: Principal Component Analysis.

a. 2 components extracted.

Lampiran 3: Hasil Uji Reliabilitas Pretest 1. Kualitas Makanan

Reliability Statistics Cronbach's

Alpha N of Items

.861 6

2. Keadilan Harga

Reliability Statistics

Cronbach's

Alpha N of Items

.904 4

3. Lingkungan Fisik

Reliability Statistics

Cronbach's

Alpha N of Items

.814 5

4. Kepuasan Pelanggan

Reliability Statistics

Cronbach's

Alpha N of Items

.837 4

Lampiran 3: Hasil Uji Reliabilitas Pretest (Lanjutan) 5. Loyalitas Pelanggan

Reliability Statistics

Cronbach's

Alpha N of Items

.833 5

Lampiran 4a: Measurement Model Fit

Lampiran 4b: Output Standardized Resgression Weight

Standardized Regression Weights: (Group number 1 - Default model)

Estimate KM6 <--- KM ,786 KM5 <--- KM ,806 KM4 <--- KM ,649 KM3 <--- KM ,761 KM2 <--- KM ,768 KM1 <--- KM ,574 KH4 <--- KH ,791 KH3 <--- KH ,787 KH2 <--- KH ,844 KH1 <--- KH ,806 LF5 <--- LF ,787 LF4 <--- LF ,792 LF3 <--- LF ,753 LF2 <--- LF ,780 LF1 <--- LF ,653 KP4 <--- KP ,811 KP3 <--- KP ,802 KP2 <--- KP ,644 KP1 <--- KP ,864 LP5 <--- LP ,592 LP4 <--- LP ,546 LP3 <--- LP ,741 LP2 <--- LP ,785 LP1 <--- LP ,878

Lampiran 5a: Overall Model Fit

Lampiran 5b: Output Standardized Regression Weight (Overall Model Fit) Estimate S.E. C.R. P Label

KP <--- KH ,427 ,066 6,475 ***

KP <--- KM ,196 ,048 4,075 ***

KP <--- LF ,384 ,060 6,412 ***

LP <--- KP ,992 ,113 8,773 ***

KM6 <--- KM 1,000

KM5 <--- KM ,954 ,098 9,723 ***

KM4 <--- KM ,656 ,089 7,352 ***

KM3 <--- KM ,806 ,092 8,740 ***

KM2 <--- KM ,772 ,094 8,245 ***

KM1 <--- KM ,603 ,106 5,705 ***

KH4 <--- KH 1,000

KH3 <--- KH ,944 ,106 8,884 ***

KH2 <--- KH ,965 ,099 9,760 ***

KH1 <--- KH 1,051 ,113 9,277 ***

LF5 <--- LF 1,000

LF4 <--- LF 1,009 ,109 9,260 ***

LF3 <--- LF 1,054 ,120 8,773 ***

LF2 <--- LF ,871 ,102 8,555 ***

LF1 <--- LF ,760 ,100 7,586 ***

LP1 <--- LP 1,000

LP2 <--- LP ,960 ,119 8,065 ***

LP3 <--- LP ,971 ,132 7,356 ***

KP4 <--- KP ,959 ,117 8,217 ***

KP2 <--- KP ,854 ,147 5,807 ***

KP3 <--- KP ,992 ,125 7,941 ***

KP1 <--- KP 1,000

LP4 <--- KP ,926 ,192 4,837 ***

LP5 <--- KP ,975 ,181 5,379 ***

Lampiran 5c: Model Fit Summary

Notes for model (default model) Computation of degrees of freedom (Default model)

Number of distinct sample moments: 300 Number of distinct parameters to be estimated: 52 Degrees of freedom (300 - 52): 248

Result (Default model) Result (Default model)

Minimum was achieved Chi-square = 683,366 Degrees of freedom = 248 Probability level = ,000

Model Fit Summary

CMIN

Model NPAR CMIN DF P CMIN/DF

Default model 52 683,366 248 ,000 2,756

Saturated model 300 ,000 0

Independence model 24 2261,098 276 ,000 8,192

Baseline Comparisons

Model NFI

Delta1

RFI rho1

IFI Delta2

TLI

rho2 CFI Default model ,698 ,664 ,784 ,756 ,781

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 ,121 ,111 ,132 ,000

Independence model ,246 ,237 ,255 ,000

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