The Synergy of Islamic Banks and Muslim-Friendly Tourism: Patterns of Halal Industry Development in Indonesia
Bibliographic record
Abstract
Muslim-friendly tourism is one of the most influential halal industries, as its services encompass elements of Islamic banks, halal food, fashion, media, recreation, as well as pharmaceuticals and halal cosmetics.Therefore, this study aims to build synergy and create new patterns of developing Islamic banks and Muslim-friendly tourism through partnership networks and joint work programs in various fields to grow other halal industries in Indonesia.This study used a qualitative approach with the field research method.The research focused on two regions: Central Java and the Special Region of Yogyakarta Provinces in Indonesia.Data collection was carried out through observation, interviews, and various sources, such as journals, books, websites, and others relevant to this research.Respondents were selected through purposive sampling, i.e., the leadership of the Tourism Awareness Community Group (Pokdarwis).The study results revealed that synergy and development patterns between Islamic banks and Muslim-friendly tourism should be carried out simultaneously.Six aspects to consider in building and developing the synergy include establishing partnership cooperation, optimizing the role of Islamic bank stakeholders and Muslim-friendly tourism, improving ACES (access, communication, environmental, and service infrastructure), intensifying education and literacy of the halal industry, innovating and transforming technology, and conducting clusters for the halal industry development.
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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 | 0.000 |
| 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".