Implementation of a Rule-Based Decision Support System in Determining the Level of Customer Satisfaction with Services
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Sarmi Car Wash is a car and motorbike washing service located at Jalan Sultan Hasanuddin No. 52, offering pick-up and drop-off services within a specified range. To enhance employee performance and customer service, the business seeks to implement a decision support system (DSS) to monitor employee performance and assess customer satisfaction effectively. This research aims to design a web-based DSS application that utilizes rule-based assessments of employee performance, integrating data such as employee names and tenure as references for developing the system. The study employed data collection methods including observation, interviews, documentation, and literature review. The system was tested using the black-box method, confirming that it functions as intended. Additionally, based on a user assessment questionnaire, the application achieved an average score of 80.4%, indicating its suitability and effectiveness for implementation. The developed system provides an efficient solution for improving service quality and employee performance monitoring at Sarmi Car Wash.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| 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 it