Development of Penyengat Island Area as an International Tourism Area Based on Heritage Tourism
Bibliographic record
Abstract
This research aims to implement the Penyengat Island area as a heritage-based international tourism area. Indonesia is well known as one of the largest numbers of historical tourisms in the world. The number of world tourism heritage sites continues to increase every day, Indonesia has diversity island that one of them has potential to developed as a tourism destination. Penyegat Island is one of potential island due the preservation of customs and moral values that have a historical heritage in Penyengat Island can be promoted by procedures based on international heritage. This paper uses descriptive qualitative methods with data collection techniques through library research with an empirical study approach. The results showed that the phenomenon of urbanization associated with globalization factors make the natural physical structure in the Penyengat Island area less noticed, even though Penyengat Island is a typical area because it has sublime value and culture that can be used as a unique tourism object or destination without eliminating historical value so that Penyengat Island can become one of Indonesia's flagship tourism products in Internasional community based on Heritage 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".