PENGARUH KUALITAS PRODUK DAN KUALITAS LAYANAN TERHADAP KEPUASAN DAN LOYALITAS PENGGUNA KASMDI KBS
Bibliographic record
Abstract
Abstract: The availability of consumable water is a basic human right. The State Water Supply Company (PDAM) Surya Sembada is the only government institution in charge in providing and managing drinking water facilities and infrastructure in Surabaya. PDAM Surya Sembada provides free fountain drinking (KASM) as their Corporate Social Responsibility (CSR) program that located in various strategic public places in the city including in Surabaya Zoo (KBS). However, there has never been any analysis on the product and service quality of the KASM in KBS. Therefore, the objective of this study is to analyze the effect of product and service quality of the KASM in KBS on user satisfaction and loyalty using Structural Equation Modeling (SEM) with Partial Least Square (PLS) analysis. Results of path coefficient analysis show that product quality affects user satisfaction, but it has no effect on user loyalty. Service quality affects user satisfaction and loyalty. User satisfaction affects user loyalty. It can be concluded that user satisfaction is affected by product and service quality, while user loyalty is affected by service quality and user satisfaction. Keywords: KASM, Product Quality, Service Quality, User Satisfaction, User Loyalty.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.036 | 0.006 |
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".