MEASURING GUEST SATISFACTION AT BENDEGA RESTAURANT, AT RENON VILLAGE IN DENPASAR IN ASEAN ECONOMY COMMUNITY (AEC) ERA
Bibliographic record
Abstract
In Asean Economy Community (AEC) era, the competition in restaurant business is tighter and tighter, in domestic market or in international market (global market) . How to winning the competition?. The Bendega Restaurant must be able to offer an extremely good service to his guests, for example to offer outstanding service to all guests of Bendega restaurant, the price of food are so reasonable, quick service at all the times, much better service than the other competitors.Bad service, expensive food price, slow service, will make guest disappointed / dissatisfaction, although in a different degree.This research is aimed to know the activities of Bendega restaurant while measuring guest satisfaction at Bendega Restaurant at Renon Village in Denpasar in Asean Economy Community (AEC) era.Data of this research was collected by using direct observation, depth interview and documentation.The data are obtained from informants who know the object of research such as Restaurant Manager, Assistant Restaurant Manager, F&B Supervisor, Restaurant Captains and many waiters and waitress as the front liner of giving services in Bendega Restaurant.After that, the data was analyzed descriptively. One hundred questionairs were spreading out along one month on feb 2016. The result of the research showed that two third of guests were satisfied, a quarter of them were fair and the rest of them no respons with the services which were offered to the guests.According to the questionairs showed that the key of success by Bendega Restaurant was by offering fantastic services to their guests.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".