Faktor Yang Berhubungan Dengan Partisipasi Masyarakat Pada Kegiatan Posyandu Di Desa Oben Kabupaten Kupang
Bibliographic record
Abstract
Posyandu adalah kegiatan layanan kesehatan terpadu yang melibatkan partisipasi masyarakat untuk menurunkan angka mortalitas ibu dan bayi selama kehamilan dan persalinan. Tujuan penelitian ini untuk mengetahui faktor yang berhubungan dengan partisipasi masyarakat di posyandu Desa Oben kabupaten Kupang. Penelitian ini bersifat observasional dengan desain cross-sectional. Populasi penelitian ini terdiri dari semua ibu yang memiliki balita, berjumlah 110 orang di posyandu Desa Oben. Sampel sebanyak 76 orang dipilih dengan teknik random sampling. Data dikumpulkan menggunakan kuesioner dan dianalisis dengan uji-square. Hasil penelitian menunjukkan adanya hubungan antara pengetahuan (p-value=0,004), dukungan keluarga (p=0,001), dan dukungan tokoh masyarakat (p-value=0,019) dengan partisipasi masyarakat dalam kegiatan posyandu di Desa Oben, Kabupaten Kupang. Namun, tidak ditemukan hubungan yang signifikan untuk sumber informasi (p-value=0,104), sedangkan ketersediaan fasilitas menunjukkan hubungan yang signifkan (p-value=0,036) dengan partisipasi masyarakat. Disarankan agar pendekatan yang lebih mendalam dilakukan, seperti kunjungan rumah kepada ibu yang tidak menghadiri posyandu
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 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".