ANALISIS SPASIAL TITIK DAN JALUR EVAKUASI DALAM MITIGASI PENGURANGAN RISIKO BENCANA BANJIR DI KECAMATAN MANDONGA KOTA KENDARI
Bibliographic record
Abstract
Penelitian ini menganalisis sebaran wilayah banjir dan penentuan tempat dan jalur evakuasi di Kecamatan Mandonga, Kota Kendari. Penelitian menggunakan desain kuantitatif dan survei. Data dianalisis secara spasial dengan aplikasi ArcView 3.2. Hasil penelitian menunjukkan bahwa banjir yang terjadi di Kecamatan Mandonga, Kota Kendari selama tahun 2015-2018 seluas 416,23 ha atau sekitar 37,45 % dari total luas wilayah Kecamatan Mandonga (1.111,47 ha), tersebar diseluruh wilayah (di enam kelurahan). Ada enam (6) titik yang layak sebagai tempat evakuasi utama pengungsian banjir di Kecamatan Mandonga, 1 titik di Kelurahan Labibia, 2 titik di Kelurahan Wawombalata, dan 3 titik di Kelurahan Mandonga. Ada 11 titik jalur yakni; Jl. Imam Bonjol; Jl. Subsidi; Jl. Sawerigading (Anggilowu); Jl. Sawerigading (Mandonga); Jl. Taridala; Jl. Lasandara; Jl. Made Sabara; Jl. Pajak; Jl. Welado; Jl. Supu Yusuf; dan Jl. Sidendreng.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".