Pemetaan Kerawanan Banjir di Sub-DAS Selincah Kota Jambi dengan Metode Geomorphic Flood Index
Why this work is in the frame
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Bibliographic record
Abstract
Abstract. Jambi City is one of the cities that frequently floods due to river overflows. Jambi City is drained by the Batanghari River which consists of several sub-watersheds. The most frequently flooded sub-watershed is the Selincah sub-watershed. The Selincah sub-watershed flows through 3 sub-districts, namely East Jambi District, South Jambi District, and Paal Merah District. Flooding in this sub-watershed causes the most casualties in Jambi City. The purpose of this study is to identify the influence of land use on flooding events in the Selincah sub-watershed. The target of this study is to identify flood vulnerability in the Selincah sub-watershed in Jambi City. This study uses a quantitative approach method with secondary data collection. Secondary data includes Digital Elevation Model data and watershed boundaries. The analysis method used is a spatial analysis method with the Geomorphic Flood Index method based on the BNPB module. Based on the analysis, the flood-prone areas in the Selincah Sub-watershed are located around the Selincah River, covering 440 hectares, or 24.2% of the total area. The non-flood-prone areas, or areas safe from flooding, cover 1,374 hectares, or 75.8%.A Abstrak. Kota Jambi merupakan salah satu kota yang sering banjir karena luapan sungai. Kota Jambi dialiri oleh Sungai Batanghari yang terdiri dari beberapa Sub-DAS. Sub-DAS yang paling sering banjir yaitu sub-DAS Selincah. Sub-DAS Selincah mengaliri 3 kecamatan yaitu Kecamatan Jambi Timur, Kecamatan Jambi Selatan, dan Kecamatan Paal Merah. Banjir di Sub-DAS ini paling banyak menyebabkan korban jiwa di Kota Jambi. Tujuan dari penelitian ini yaitu untuk mengidentifikasi kerawanan banjir di Sub-DAS Selincah. Sasaran dari penelitian ini yaitu, teridentifikasinya kerawanan banjir di Sub DAS Selincah Kota Jambi. Penelitian ini menggunakan metode pendekatan kuantitatif dengan pengumpulan data sekunder. Data sekunder mencakup data Digital Elevation Model, dan batas daerah aliran sungai. Metode analisis yang digunakan yaitu metode analisis spasial dengan metode Geomorphic Flood Indeks berdasarkan modul BNPB. Berdasarkan hasil analisis wilayah yang rawan banjir di Sub-DAS Selincah terdapat pada sekitar sungai selincah dengan luas 440 Hektar atau 24,2% dari total luas wilayah. Wilayah yang tidak rawan banjir atau wilayah yang aman dari banjir memiliki luasan 1.374 hektar atau 75,8 %.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it