PENGEMBANGAN AIR TERJUN DLUNDUNG UNTUK MENJADI DESTINASI PARIWISATA UNGGULAN DI KABUPATEN MOJOKERTO
Bibliographic record
Abstract
This aims of the study are finding the development strategy in the tourist area of the Dlundung waterfall to be excellent destination in Mojokerto. This is a descriptive qualitative research. Data collection techniques are observation, interviews, questionnaires, and documentation. Data will be analyzed by SWOT method. Strategies have been found is the increased promotion of the natural beauty of waterfalls and campgrounds, additional facilities of outbound and painball, repair and improvement of facilities, road improvements, additional services and hours of operation of public transport, improving the quality of human resources of tourism, Perhutani reports the condition of the campground to Disparta about prioritized apparatus intensively, Perhutani and Disparta give an opportunity for investors to benefit location of the campsite, ask for the role of local communities in improving the security of tourism, Perhutani maintains the cleanliness and comfort of the facilities at tourist sites, increasing community empowerment in troubleshooting facilities and accessibility. Keywords: the development strategy, excellent destination
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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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".