Halal Tourism in Indonesia: Regional Regulation and Indonesian Ulama Council Perspective
Bibliographic record
Abstract
The tourism sector is one of the sectors capable of increasing employment and economic growth. Currently, halal tourism is starting to be in great demand. This is in line with the increase in Muslim tourists from year to year. The development of halal tourism has begun to be carried out by various countries, both Muslim and non-Muslim countries. Indonesia as a multi-cultural and multi-ethnic country, of course, there are new problems that continue to surface where the law is not found either in the Quran or the Hadith, such as the emergence of the phenomenon of public demand for halal tourism in Indonesia. The purpose of this research is to describe halal tourism in Indonesia in terms of the Indonesian Council of Ulama fatwa and the government regulation. This research is a conceptual review that uses literature research methods sourced from authoritative journals, books, and documents and is still relevant to the study of halal tourism. The results showed that a large number of public requests for halal tourism visits in Indonesia in the need for normative and positive regulation regulates. the only difference is in the use of the term "sharia tourism" in the fatwa while the content in the regional regulation uses the term "halal tourism".
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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 | 0.000 | 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 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".