Bibliographic record
Abstract
Abstraksi Bencana yang sering terjadi di Indonesia memberikan dampak yang serius bagi semua kalangan masyarakat, khususnya pada anak usia dini. Salah satu cara untuk mengurangi dampak bencana adalah dengan melakukan mitigasi bencana. Berdasarkan penelitian sebelumnya, mitigasi bencana pada anak usia dini untuk anak PAUD belum pernah dilakukan. Padahal mitigasi bencana atau penanganan bencana perlu diberikan sejak dini. Oleh karena itu peneliti akan melakukan mitigasi bencana, salah satunya tsunami pada anak usia dini (PAUD) dengan cara memberikan kegiatan bermain yang terdiri dari peningkatan wawasan tentang pengertian, dampak, dan keterampilan mitigasi bencana, hingga anak PAUD dalam melakukan simulasi sederhana dengan tenang, tanpa ada kepanikan. Berdasarkan hasil penelitian yang telah ditemukan, kegiatan bermain dapat menjadi salah satu cara untuk melakukan mitigasi bencana tsunami. Kegiatan bermain dengan tema bencana ini perlu dilakukan secara berkesimbungan agar proses evakuasi saat bencana dapat terekam lebih baik pada memori anak-anak dan hal yang terpenting adalah proses sosialisasi dan mitigasi bencana pun perlu dikuasi terlebih dahulu oleh guru. Kata kunci : mitigasi bencana, anak usia dini Abstract Disasters that often happened in Indonesia have a serious impact for all societies, especially in early childhood. One way to reduce the impact of disasters is to conduct disaster mitigation. Based on preceding research, disaster mitigation in early childhood had not been done. Whereas disaster mitigation or disaster management needed to be given early on. Therefore, researchers conducted disaster mitigation, for tsunami in early childhood education (PAUD) by providing playing activities focusing on increasing their insight on understanding about the disaster, knowing its impact and disaster mitigation skills. A simple simulation was done to the children of early childhood education calmly, without any panic.The results of research showed that playing activities could be one way to mitigate the tsunami disaster. The activities of disaster theme playing needed to be done continuously so that the evacuation process could be recorded well in children’s memory. The process of socialization and disaster mitigation were also needed to be mastered first by the teachers. Keyword : Mitigation, Early Childhood
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.061 | 0.009 |
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".