Flood Risk Management (Studi Kasus: Sungai Bahodopi, Di Kecamatan Bahodopi, Kabupaten Morowali)
Bibliographic record
Abstract
Tujuan dari studi ini adalah untuk mendapatkan gambaran tentang pengaruh metode Soil Bioengineering dan pendekatan non-struktual terhadap peningkatan Flood Risk Management. Metode penulisan berdasarkan studi literatur dan studi preseden yang menjelaskan berbagai sumber yang berkaitan dengan penerapan Soil Bioengineering sebagai elemen Green Infrastructure dan pendekatan non-struktural untuk menanggulangi bencana banjir akbiat aktivitas industri dan permukiman penduduk di sekitar bantaran sungai. Karakteristik vegetasi akar dalam dan batang kokoh diharapkan dapat menanggulangi terjadinya bencana banjir ke dalam areal permukiman penduduk, dan pendekatan non-struktural juga dapat diterapkan, seperti pengelolaan Daerah Aliran Sungai (DAS) Sungai Bahodopi, yaitu peraturan tata guna lahan dan beberapa aturan mengenai larangan penggunaan tanah disekitar riparian sungai yang berpotensi mengurangi daerah resapan air dan menyebabkan terjadinya bencana banjir. Dengan demikian penerapan Flood Risk Management yang direncanakan dapat mengatasi bencana banjir di areal permukiman padat penduduk.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.005 |
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".