Estimasi Biaya Ekonomi Pembangunan Pariwisata Berbasis Sungai di Provinsi Kalimantan Selatan
Bibliographic record
Abstract
Provinsi Kalimantan Selatan merupakan salah satu provinsi yang memiliki jumlah sungai terbanyak; yaitu, ada 58 sungai. Sungai memiliki peran strategis bagi masyarakat Kalimantan Selatan sebagai sumber daya alam yang dapat menunjang berbagai aktivitas. Pengelolaan DAS dimaksudkan sebagai upaya perencanaan dan evaluasi konservasi sumber daya sungai. Pemanfaatan sungai, termasuk pariwisata, dapat memberikan multiplier effect bagi perekonomian daerah. Oleh karena itu, penelitian ini bertujuan untuk mengetahui apakah setiap sungai di Kalimantan Selatan dapat menjadi tujuan wisata dan menghitung biaya ekonomi yang timbul dari kegiatan pengembangan wisata berbasis sungai. Dalam penelitian ini, metode penelitian yang digunakan adalah valuasi ekonomi. Perhitungan penelitian menunjukkan bahwa total biaya pribadi adalah Rp. 118.423.429.388 dibagi dari biaya operasional sebesar Rp. 25.881.210.800 dan biaya pembangunan sebesar Rp. 92.542.218.588. Sedangkan biaya sosial sebesar Rp. 15.235.806.143.180.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 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 | 0.009 |
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; both teacher heads agree on what is shown here.
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".