MODEL PENATAAN KAWASAN SITU UNTUK REDUKSI RISIKO BENCANA BANJIR DI JAKARTA
Bibliographic record
Abstract
Banjir secara ekologis merupakan peristiwa fisik yang terjadi di dalam lingkungan hidup manusia. Keterbatasan lahan yang tidak dapat menampung pembangunan di wilayah Jakarta, memicu pembangunan di daerah sekitar aliran sungai. Pembangunan di daerah sekitar aliran sungai telah mengubah pola penggunaan lahan. Daerah sekitar sungai merupakan dataran banjir sehingga jika daerah tersebut dibangun menjadi tempat tinggal ataupun permukiman maka permukiman tersebut akan terkena dampak jika air sungai meluap dan menyebabkan banjir. Wilayah Jakarta dilewati oleh 13 sungai yang sering meluap pada musim hujan termasuk Kali Angke dan Pesanggrahan. Penggunaan lahan pada DAS Angke-Pesanggrahan sangat mempengaruhi terjadinya banjir di DAS Angke - Pesanggrahan. Semakin banyak area terbangun pada DAS tersebut maka area penyerapan air juga semakin sedikit sehingga membuat air di Kali Angke dan Pesanggrahan meluap dan menyebabkan banjir. Sehingga perlu adanya klasifikasi tipe zona pemukiman dan juga beberapa metode penyerapan air seperti biopori dan sumur resapan sebagai salah satu cara untuk reduksi risiko banjir.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.034 | 0.007 |
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".