Kajian Tingkat Ketahanan Bencana Gempa Bumi di Daerah Sesar Cugenang
Bibliographic record
Abstract
Abstract. Earthquakes are one of the natural disasters that often occur in Indonesia, including in the Cugenang fault area. The natural disaster that occurred due to the Cianjur Earthquake on November 21, 2022 not only caused damage to residential buildings but also caused landslides in very vital and densely populated areas that caused large material and non-material losses. In responding to disasters and determining to increase resilience around the Cugenang fault area and reduce the impact of damage and casualties due to disasters. Based on this background, this study aims to identify the characteristics of disaster resilience and assess the level of disaster resilience in the Cugenang fault area. The research method used is a mixture of quantitative and qualitative approaches with a Likert scale analysis model for disaster resilience level assessment. The value for infrastructure resilience in the Cugenang fault area is 3.7 or high, meaning that the current infrastructure has shown good ability to respond to critical situations. The value for disaster mitigation in the Cugenang fault area is 2.6 or low, meaning that disaster mitigation shows what needs to be improved. The value for the Availability of Social and Economic Facilities in the Cugenang fault area is 3.9 or high, meaning that social and economic facilities are already available in the Cugenang fault area. The overall level of disaster resilience is in 3 aspects with an average of 3.7 or high. The assessment is based on the assumption that respondents consider the current infrastructure condition to be able to cope with emergency disasters. Thus, it is necessary to increase disaster resilience in the Cugenang fault area. This research provides a basis for development to improve disaster resilience in the Cugenang fault area. Abstrak. Gempa bumi merupakan salah satu bencana alam yang sering terjadi di Indonesia, termasuk di daerah sesar Cugenang. Bencana alam yang terjadi akibat Gempa Cianjur pada pada tanggal 21 November 2022 tidak saja menyebabkan kerusakan bangunan rumah tinggal tetapi juga menimbulkan bencana longsor di area-area yang sangat vital dan padat penduduk yang membuat kerugian material dan non material yang besar. Dalam merespons bencana serta penentuan untuk meningkatkan ketahanan di sekitar daerah sesar Cugenang dan mengurangi dampak kerusakan dan korban jiwa akibat bencana. Berdasarkan latar belakang tersebut, penelitian ini bertujuan untuk mengidentifikasi karakteristik ketahanan bencana dan menilai tingkat ketahanan bencana di daerah sesar Cugenang. Metode penelitian yang digunakan adalah campuran antara pendekatan kuantitatif dan kualitatif dengan model analisis skala likert untuk penilaian tingkat ketahanan bencana. Nilai untuk ketahanan infrastruktur di daerah sesar Cugenang sebasar 3.7 atau tinggi, artinya Infrastruktur yang ada saat ini telah menunjukkan kemampuan yang baik dalam merespons situasi kritis. Nilai untuk mitigasi bencana di daerah sesar Cugenang sebasar 2.6 atau rendah, artinya mitigasi bencana menunjukkan yang perlu ditingkatkan. Nilai untuk Ketersediaan Fasilitas Sosial dan Ekonomi di daerah sesar Cugenang sebasar 3.9 atau tinggi, artinya sudah tersedia fasilitas sosial dan ekonomi di daerah sesar Cugenang. Keseluruhan tingkat ketahanan bencana dalam 3 aspek dengan rata-rata 3.7 atau tinggi. Penilaian didasarkan pada anggapan bahwa responden menganggap kondisi infrastruktur saat ini sudah dapat menanggulangi kebencanaan darurat. Dengan demikian diperlukan peningkatan ketahanan bencana di daerah sesar Cugenang. Penelitian ini memberikan dasar bagi pengembangan untuk meningkatkan ketahanan bencana di daerah sesar Cugenang.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".