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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.012 | 0.002 |
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".