Upaya Mitigasi Bencana pada Sungai Kedunglarangan di Kabupaten Pasuruan
Bibliographic record
Abstract
Kecamatan Bangil, Kabupaten Pasuruan yang dilalui oleh Sungai Kedunglarangan bagian hilir merupakan kawasan rawan bencana banjir setiap tahunnya pada musim penghujan. Studi ini membahas upaya mitigasi bencana banjir tersebut dengan rencana normalisasi sungai sebagai pengendalian banjir, serta membuat rute evakuasi untuk mengungsikan penduduk dari ancaman bahaya ke lokasi yang lebih aman selama bencana berlangsung. Dalam analisa hidrologi yang dilakukan untuk mengetahui luas genangan pada Sungai Kedunglarangan, aliran banjir rancangan yang dihitung menggunakan Hidrograf Satuan Sintetik (HSS) Nakayasu sebesar Q25 = 781,567 m3/det serta Q50 = 858,632 m3/det. Pemodelan hidraulik menggunakan program HEC-RAS 2D versi 6.3.1 dengan perolehan luasan yang disebabkan banjir rancangan tersebut sebesar 3615,732 ha dengan kala ulang 25 tahun dan 3701,611 ha untuk kala ulang 50 tahun. Dilakukan juga pemodelan pengendalian banjir berupa pembuatan tanggul serta normalisasi sungai dengan fitur channel modification di RAS-Mapper
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 0.004 |
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".