Pengembangan Model Desain Rumah Bantuan bagi Keluarga Terdampak Bencana Angin Siklon di Indonesia
Bibliographic record
Abstract
Siklon tropis merupakan bencana yang belum dikenal dalam Database Informasi Bencana Indonesia (DIBI). Ketika siklon tropis Seroja menghantam wilayah Nusa Tenggara Timur 4 April 2021, secara tidak langsung telah menyebabkan ratusan korban meninggal dan puluhan ribu rumah serta bangunan lainnya rusak berat. Saat ini di Indonesia belum ada standar rumah dan bangunan yang tahan terhadap kecepatan angin siklon. Tujuan dari penelitian ini adalah untuk mengembangkan desain rumah yang dapat dijadikan model bagi aktor kebencanaan bidang perumahan dalam menyediakan hunian ramah angin di wilayah terdampak maupun rawan bencana angin siklon. Model desain dikembangkan berdasarkan panduan, rekomendasi, dan preseden dari negara lain yang kemudian disesuaikan dengan konteks Indonesia. Model “Rumah Inti” dirasa lebih sesuai dengan konteks Indonesia daripada model rumah semi permanen yang menggunakan dinding batu setengah tinggi dan papan kayu di bagian atasnya. Dengan model Rumah Inti, struktur bangunan ramah gempa dapat dipersiapkan terlebih dahulu. Hal ini juga berguna bagi keluarga penerima bantuan ketika akan merenovasi atau mengembangkan rumahnya di masa yang akan datang.Kata Kunci: Angin Siklon; Rumah Bantuan; Rumah Inti; Konstruksi; Model Desain
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.030 | 0.011 |
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".