JUMANTIK CARE SEBAGAI UPAYA PEMERATAAN PROGRAM JUMANTIK DI WILAYAH KERJA PUSKESMAS TANJUNG BINGKUNG KABUPATEN SOLOK
Bibliographic record
Abstract
Jentik nyamuk Aedes aegypti banyak berkembang biak di tempat-tempat yang tergenang air. Hal ini menyebabkan penyakit DBD banyak terdapat di musim hujan dan biasanya menyerang pada pagi hari dan sore hari. Inciden Rate DBD Provinsi Sumatera Barat berada pada urutan ke empat terbanyak di Indonesia. Khususnya di wilayah kerja Puskesmas Tanjung Bingkung terdapat sebanyak 32 kasus DBD pada tahun 2018 dan 8 kasus DBD sampai Agustus 2019. Dari hasi survei yang dilakukan, kegiatan sanitasi dan air bersih di wilayah ini belum terlaksana dengan baik yang meningkatkan risiko perkembangan jentik nyamuk. Karena belum menyeluruh program Juru Pemantau Jentik (Jumantik), dilakukan kegiatan “Jumantik Care” untuk memeratakan program Jumantik di seluruh wilayah kerja Puskesmas Tanjung Bingkung. Intervensi yang dilakukan adalah penyuluhan DBD, pemberian leafet, Pemberantasan Sarang Nyamuk (PSN), advokasi kepada kader, dan pemeriksaan jentik ke rumah-rumah. Diharapkan kepada petugas puskesmas untuk meningkatkan program promotif dan preventif agar mencegah penularan DBD di masyarakat.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.033 | 0.004 |
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".