Factors Influencing Indonesian Customer Satisfaction and Customer Loyalty in Local Fast-Food Restaurant
Bibliographic record
Abstract
This paper aims to analyze the influence of customer satisfaction and customer loyalty toward the local fast food restaurant in Indonesia. The variables involved in this study were perceived service quality, perceived product quality, perceived price fairness, customer satisfaction, and customer loyalty. Samples of this study were customers of the local fast food restaurant in Yogyakarta. Quantitative method is used to analyze the relationships within variables. This research examined 200 respondents by spreading the online questionnaires that were analyzed by using Structural Equation Model method. To collect the data, this study used convenience sampling method. The results show that perceived service quality, perceived product quality, and perceived price fairness had a positive and significant influence on customer satisfaction. Also, perceived service quality, perceived product quality, and perceived price fairness had a positive and significant influence on customer loyalty. Finally, customer satisfaction has a positive and significant influence on customer loyalty. Perceived price fairness was the highest influence on Indonesian consumers for being loyal to the local fast food restaurants.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".