Analisis Kesesuaian dan Daya Dukung Ekowisata Mangrove Teluk Urfu, Kabupaten Biak Numfor
Bibliographic record
Abstract
Urfu Bay is a relatively new marine tourism destination and quite a favorite among the people of Biak Numfor. The Tourism Awareness Group (POKDARWIS) of Urfu Village is developing mangrove tourism. At the same time, scientific data is not yet available on the area's suitability level and the environment's carrying capacity for mangrove tourism activities. Hence, this research must be carried out to support the sustainable management of Urfu Bay mangrove tourism. The objectives of this study are: (1) knowing the tourism suitability index (IKW); and (2) knowing the carrying capacity of the Urfu Bay mangrove ecosystem (DDK). The study time is six months, which is April to September 2023. This research is located in the mangrove ecosystem of Urfu Bay, Biak Numfor Regency. The research method used is a survey, while random sampling techniques, observation, interviews, and literature studies carry out data collection. The results showed that the mangrove ecosystem of Urfu Bay: (1) Very suitable as a mangrove tourism area with a tourism suitability index (IKW) value of 2.85; and (2) Has an Area Carrying Capacity (DDK) of 381 people per day. This study concludes that the mangrove ecosystem of Urfu Bay is very suitable and prospective for developing mangrove tourism.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".