Mangrove Ecotourism Information System Based on Digital Book and Online Reservations
Bibliographic record
Abstract
Bali's tourism sector has faced serious challenges since the pandemic, with Bali's economic growth rate of -12.28% in the third quarter of 2020. Kampoeng Kepiting Mangrove Ecotourism located in Tuban, Kuta Badung district, Bali province is one of the tourism sectors which suffered a heavy impact. Before the pandemic, ecotourism visitors increased however during the pandemic, the number of visits decreased significantly. This study aims to develop a mangrove ecotourism information system, based on digital books and online reservations. The ecotourism digital book outlines the catalog of tour packages offered along with information on the mangrove tour packages for conservation and education. Based on the information from a digital book, potential visitors can use an online reservation application to make a reservation for tour packages and do payment by bank transfer. Once the payment process is done, visitors get digital vouchers to use the tour packages they have been reserved. The E-Voucher was used to visit the ecotourism of Kampoeng Kepiting. The development of a mangrove information system is expected to support the promotion of ecotourism in the recovery of ecotourism during the COVID-19 pandemic.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.011 |
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".