Pengaruh Food Quality, Service Quality, Ambience dan Price terhadap Customer Satisfaction di Restoran Domicile Surabaya
Bibliographic record
Abstract
Penelitian ini bertujuan untuk mengetahui pengaruh food quality, service quality, ambience quality, dan price terhadap customer satisfaction pelanggan restoran khas Jepang di Surabaya. Data yang digunakan dalam penelitian ini adalah data primer yang diperoleh dari penyebaran kuesioner. Sampel dalam penelitian ini yaitu sebanyak 100 responden dengan kriteria yaitu pernah makan di restoran khas Jepang di Surabaya lebih dari satu kali, dan dalam tiga bulan terakhir minimal telah mengunjungi restoran khas Jepang di Surabaya. Teknik pengambilan sampel yang digunakan yaitu non probability sampling. Penelitian ini menggunakan pendekatan kuantitatif melalui pengujian secara statistik. Analisis yang digunakan yaitu analisis regresi linier berganda dengan menggunakan perangkat lunak SPSS. Hasil penelitian menunjukkan bahwa food quality, service quality, ambience quality, dan price masing-masing berpengaruh positif dan signifikan terhadap customer satisfaction.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".