MODEL PELATIHAN PENANGGULANGAN BENCANA DALAM MENINGKATKAN KEMANDIRIAN MASYARAKAT (Studi Di Daerah Rawan Longsor Kawasan Cadas Pangeran Kabupaten Sumedang Propinsi Jawa Barat)
Bibliographic record
Abstract
This research aims to develop a training model of disaster management which is backgrounded by problems of disaster management in Indonesia. The problems are factually still slowgoingly patially an top-downly handed by the government. Recenly, the existing management is still emergency respond oriented and handled by inadequate human resources as well. As a matter of fact, the occurrences of disaster in Indonesia have to be aware of disaster preparedness anytime. Empowering theon; in disaster preparedness,\nstudy of adult (andragogy)and a theon; concerning training become the main references of this research. This research is conducted by using R & D method (Research &Development Method). Data collection technique was supported by circumstantial interviews, questioners, observation and documentation. Data analysis technique was applied for the Path Analysis. The research location of critical landslide areas is a long Cadas Pangeran main road, the country side of Ciherang District of South Sumedang as a group experimental and the country side of Cigendel, District of Pamulihan in Kabupaten Sumedmzg as a group control. In conclusion, disaster management training model trhough locality empowennent is factually effective to be implemented to improve society self-reliance in landslide natural disaster management. This models has significantly effected the improvement of knowledge, awareness and attitude of the society living around vulnerable landslide areas in the disaster management at before, at time and after the disaster has occurred. Critical factors wich influence the success of Non Formal Educaion to improve society self-reliance in landslide disaster management are; (1) Society competence in disaster management before disaster occurred pre disaster,(2) Society competence in disaster management at the time disaster occures and (3) Societty competence in disaster management after disaster has occurred. The proposed recommendations are as to the local govenzment and practitioners of disaster management , they are supposed to be able to implement the disaster management training model through locality empowerment by following phases which have been eximained to the people living in the vulnerable landslide areas.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".