Travel Expectations and Experiences: Evaluating the Satisfaction of International Muslim Travelers in the Super Priority Destination of Mandalika, Lombok, Indonesia
Bibliographic record
Abstract
The metamorphosis of tourism elucidates emerging trends and innovations stemming from fluid market segments, notably with the substantial expansion of Muslim travelers as a burgeoning niche market.Indonesia, with its predominantly Muslim populace, harbors considerable potential for the advancement of halal tourism destinations.Despite this, comprehensive research has yet to be conducted to ascertain whether the facilities and services available effectively fulfill the expectations of Muslim travelers.This underscores a critical lacuna in understanding the congruence between the anticipations and actual experiences of Muslim travelers within halal tourism destinations.This investigation utilizes the Holiday Satisfaction (HOLSAT) methodology through a descriptive quantitative framework to evaluate the satisfaction levels of international Muslim travelers at halal tourism locales in Lombok, encompassing 352 participants via a structured questionnaire.The results reveal that, although there is contentment regarding physical attributes, tour packages, and community elements, the Islamic facets of the destination exert no substantial influence on traveler satisfaction.These revelations provide pivotal insights for augmenting service quality at halal tourism sites and fostering the advancement of more inclusive and sustainable tourism practices.Nevertheless, the research is confined to a singular destination and a specific demographic, indicating that subsequent studies should expand the geographical and demographic parameters to achieve a more nuanced and comprehensive understanding.
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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 | 0.002 | 0.000 |
| 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".