Identifikasi Kerentanan Bencana Bajir di Kecamatan Bojoangsoang Kabupaten Bandung
Bibliographic record
Abstract
Abstract. The Bojongsoang Sub-district, Bandung Regency, often falls victim to flood disasters. In Bojongsoang, each aspect of its vulnerability presents its own set of problems. Socially, nearly half of Bojongsoang's population lives in poverty. Physically, low-lying terrain and uneven distribution of educational and healthcare facilities pose significant challenges, compounded by flood disasters necessitating budget allocations for infrastructure repairs. Economically, agriculture and animal husbandry contribute the least, despite agriculture occupying the largest land area, indicating a disparity between income and productivity. Environmentally, the predominant use of land for rice paddies and shrubland exacerbates waste management issues and industrial pollution. Therefore, it is crucial to address Bojongsoang's vulnerability to future floods. Hence, the research objective is to identify flood-prone areas in Bojongsoang, using vulnerability analysis referencing PERKA BNPB No. 2 of 2012, encompassing social, physical, economic, and environmental analyses, merged into total flood vulnerability assessment. Based on the research, Bojongsoang has a total of 10,203 residents exposed to moderate social vulnerability, with an estimated physical loss of approximately ± Rp. 48.8 trillion, and an economic loss of around Rp. 1,096,516,125, with low environmental vulnerability. Overall, villages in Bojongsoang demonstrate moderate vulnerability, with Tegalluar Village having the highest flood vulnerability index, and Cipagalo Village having the lowest vulnerability index among the four villages. Abstrak. Kecamatan Bojongsoang, Kabupaten Bandung, sering kali menjadi korban bencana banjir. Di Kecamatan Bojongsoang, tiap aspek kerentanannya memiliki masalah tersendiri. Secara sosial, hampir setengah dari populasi Kecamatan Bojongsoang hidup dalam kemiskinan. Secara fisik, dataran rendah dan ketidakmerataan sarana pendidikan serta kesehatan menjadi masalah utama, ditambah lagi dengan bencana banjir yang mengharuskan anggaran untuk perbaikan infrastruktur. Secara ekonomi, pertanian dan peternakan memiliki kontribusi terkecil, meskipun luas lahan pertanian adalah yang terbesar, menandakan ketimpangan antara pendapatan dan produktivitas. Secara lingkungan, penggunaan lahan yang didominasi oleh pesawahan dan semak belukar memperparah masalah sampah dan polusi industri. Oleh karena itu, penting untuk memperhatikan kerentanan Kecamatan Bojongsoang terhadap banjir di masa depan. Sehingga tujuan penelitian adalah untuk mengidentifikasi daerah rawan banjir di Kecamatan Bojongsoang. dengan menggunakan analisis kerentanan mengacu pada PERKA BNPB No.2 Tahun 2012, mencakup analisis sosial, fisik, ekonomi, dan lingkungan, yang digabungkan menjadi kerentanan total terhadap banjir. Berdasarkan penelitian, Kecamatan Bojongsoang memiliki total 10.203 penduduk terpapar dengan kerentanan sosial sedang, dengan estimasi kerugian fisik sekitar Rp. ± 48,8 Triliun, dan kerugian ekonomi sekitar Rp. 1.096.516.125, serta kerentanan lingkungan yang tergolong rendah. Secara keseluruhan, desa-desa di Kecamatan Bojongsoang menunjukkan kerentanan sedang, dengan Desa Tegalluar memiliki indeks kerentanan banjir tertinggi, dan Desa Cipagalo memiliki indeks kerentanan terendah.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".