Resiliensi Masyarakat terhadap Banjir di Kecamatan Gedebage Kota Bandung
Bibliographic record
Abstract
Abstract. Flooding has become an ongoing challenge for communities in various regions, including in Gedebage Sub-district, Bandung City. This study aims to determine the addition of flood areas and the level of community resilience in facing floods with the BRACED variable criteria. The research methods used were quantitative and qualitative. The results showed that there was an increase in the flood area in Gedebage Sub-district from 2015-2021 in two urban villages, namely Rancanumpang and Cimincrang due to the development of the Gedebage Technopolis concept, and the level of community resilience to flooding was in the low category. This research underscores the importance of collaboration between the government, related institutions and communities in building resilience to flood disasters. Joint efforts to improve knowledge, strengthen infrastructure, and facilitate access to relevant information will be key in improving community resilience to floods in Gedebage Sub-district, Bandung City. Abstrak. Bencana banjir telah menjadi tantangan yang berkelanjutan bagi masyarakat di berbagai wilayah, termasuk di Kecamatan Gedebage, Kota Bandung. Penelitian ini bertujuan untuk mengetahui penambahan wilayah luas banjir dan tingkat resiliensi masyarakat dalam menghadapi banjir dengan kriteria variabel BRACED. Metode penelitian yang digunakan adalah kuantitatif dan kualitatif. Hasil penelitian menunjukkan bahwa terjadi penambahan luas banjir di Kecamatan Gedebage dari tahun 2015-2021 di dua Kelurahan, yaitu Rancanumpang dan Cimincrang karena adanya pembangunan konsep Teknopolis Gedebage, dan tingkat resiliensi masyarakat terhadap banjir termasuk dalam kategori rendah. Penelitian ini menggaris bawahi pentingnya kolaborasi antara pemerintah, lembaga terkait, dan masyarakat dalam membangun resiliensi terhadap bencana banjir. Upaya bersama untuk meningkatkan pengetahuan, memperkuat infrastruktur, dan memfasilitasi akses terhadap informasi yang relevan akan menjadi kunci dalam meningkatkan resiliensi masyarakat terhadap bencana banjir di Kecamatan Gedebage, Kota Bandung.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".