Tingkat Kerawanan Banjir di Sebagian Sub-DAS Kedungbener, Kecamatan Alian, Kabupaten Kebumen, Jawa Tengah
Bibliographic record
Abstract
Bencana banjir terjadi pada akhir tahun 2020 dalam lingkup sub-DAS Kedungbener yang secara administrasi terletak di Kecamatan Alian, Kabupaten Kebumen, Jawa Tengah. Curah hujan yang tinggi sebesar 250 mm/hari menyebabkan sungai Kedungbener meluap dan mengakibatkan dampak kerugian pada masyarakat sekitar. Penelitian dimulai dengan pengambilan data menggunakan metode purposive sampling. Parameter yang digunakan diantaranya adalah kemiringan lereng, elevasi, kapasitas infiltrasi, curah hujan, penggunaan lahan, dan kerapatan sungai. Analisis data menggunakan metode skoring dan pembobotan serta overlay, dilakukan untuk menentukan zona serta tingkat kerawanan banjir. Hasil analisis yang diperoleh diantaranya terdapat 3 kelas kerawanan yang di daerah penelitian, diantaranya adalah tingkat kerawanan sedang dengan luasan 273 hektar (16,8310%), tingkat kerawanan tinggi dengan luasan 587 hektar (36,1899%), serta tingkat kerawanan sangat tinggi dengan luasan 762 hektar (46,9790%).Kata Kunci: Analisis Spasial; Sub-DAS Kedungbener; Kerawanan 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
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".