EFEKTIVITAS BADAN PENANGGULANGAN BENCANA DAERAH(BPBD) DALAM PENANGGULANGAN BENCANA BANJIRDI KABUPATEN OGAN KOMERING ULU
Bibliographic record
Abstract
Kabupaten Ogan Komering Ulu (OKU) merupakan salah satu daerah di Provinsi Sumatera Selatan yang masih sering mengalami bencana banjir. Pemerintah Daerah melalui Badan Penanggulangan Bencana Daerah (BPBD) telah melakukan upaya-upaya untuk menanggulanginya. Tujuan penelitian ini untuk menganalisis serta mengkaji upaya-upaya yang telah dilakukan oleh Badan Penanggulangan Bencana Daerah dalam menanggulangi bencana banjir di Kabupaten Ogan Komering Ulu dan untuk menganalisis efektivitas serta faktor yang mempengaruhi efektivitas Badan Penanggulangan Bencana Daerah dalam pelaksanaan penanggulangan bencana banjir di Kabupaten Ogan Komering Ulu. Tipe penelitian ini adalah penelitian kualitatif yang pengumpulan datanya dilakukan dengan cara observasi, wawancara mendalam, dokumentasi. Teori yang dipakai dalam penelitian ini adalah Teori efektivitas Steers, mengemukakan bahwa ukuran efektivitas mencakup pencapaian tujuan, integrasi, adaptasi, perkembangan. Hasil penelitian menunjukkan bahwa efektivitas Badan Penanggulangan Bencana Daerah dalam upaya penanggulangan bencana banjir di Kabupaten Ogan Komering Ulu sudah terlaksana secara efektif. Hal ini dibuktikan dengan berkurangnya angka korban di tahun berikutnya. Kata Kunci : Efektivitas, Penanggulangan Bencana, Bencana Banjir Ogan Komering Ulu Regency (OKU) is one of the areas in South Sumatra Province that still often experiences floods. The Regional Government through the Regional Disaster Management Agency has made efforts to overcome it. The purpose of this study is to analyze and review the efforts that have been made by the Regional Disaster Management Agency in tackling flood disasters in Ogan Komering Ulu Regency and to analyze the effectiveness and factors that affect the effectiveness of the Regional Disaster Management Agency in implementing flood disaster management in Ogan Komering Ulu Regency. This type of research is qualitative research whose data collection is carried out by observation, in-depth interviews, documentation. The theory used in this study is Steers effectiveness theory, suggesting that effectiveness measures include goal achievement, integration, adaptation, development. The results showed that the effectiveness of the Regional Disaster Management Agency in flood disaster management efforts in Ogan Komering Ulu Regency has been carried out effectively. This is evidenced by the reduced number of victims in the following year. Keywords : Effectiveness, Disaster Management, Flood Disaster
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".