WILAYAH RENTAN TERHADAP GEMPABUMI DI KABUPATEN PANDEGLANG BAGIAN BARAT (STUDI KASUS SEBAGIAN KECAMATAN CIGEULIS, CIMANGGU DAN SUMUR)
Bibliographic record
Abstract
Untuk mengurangi kerusakan akibat bencana gempa di Kabupaten Pandeglang, wilayah bahaya gempabumi dan kerentanan terhadap gempabumi harus ditentukan. Wilayah bahaya gempa di Kabupaten Pandeglang ditentukan oleh nilai PGA (Peak Ground Acceleration), struktur geologi, litologi dan kemiringan lereng. Untuk mengetahui daerah bahaya gempa, metode skoring dan analisis spasial digunakan. Setelah menentukan daerah bahaya gempa, maka grid yang mewakili daerah bahaya gempa dapat diidentifikasi. Bahaya gempa, kepadatan dan kualitas bangunan di permukiman daerah penelitian diidentifikasi oleh sistem grid dan survei. Wilayah rentan terhadap gempabumi di sebelah barat Kabupaten Pandeglang (studi kasus: sebagian Cigeulis, Cimanggu dan Sumur) ditentukan dengan menganalisis bahaya gempa, kepadatan dan kualitas bangunan. Sehingga dapat diketahui daerah dengan kerentanan tinggi, sedang dan rendah di daerah penelitian. Wilayah dengan kerentanan tinggi terhadap gempabumi terletak di permukiman Kecamatan Sumberjaya Kecamatan Sumur.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".