HUBUNGAN PENGETAHUAN DENGAN PERILAKU IBU NIFAS DALAM PERAWATAN LUKA PERINEUM DI WILAYAH KERJA UPTD PUSKESMAS SUKAMULYA DAN KADUGEDE
Bibliographic record
Abstract
Persalinan seringkali mengakibatkan robekan jalan lahir. Dimana faktor yang mempengaruhi perawatan luka perineum yaitu pengetahuan dan perilaku. Tujuan penelitian untuk mengetahui hubungan pengetahuan dengan perilaku ibu nifas dalam perawatan luka perineum di Wilayah Kerja UPTD Puskesmas Sukamulya dan Kadugede. Jenis penelitian analitik dengan rancangan korelasional. Responden berjumlah 30 orang menggunakan teknik accidental sampling. Analisis data menggunakan korelasi Spearman Rank dengan instrumen berupa kuesioner. Hasil analisis univariat hampir setengahnya ibu nifas memiliki pengetahuan baik sebanyak 43,3%, dan sebagian besar memiliki perilaku yang optimal sebanyak 70%. Analisis bivariat ada hubungan yang signifikan antara pengetahuan dengan perilaku bu nifas dalam perawatan luka perineum dengan nilai r=0,001 dan nilai r=0,774 artinya memiliki kekuatan yang kuat. Ibu nifas di Wilayah Kerja UPTD Puskesmas Sukamulya dan Kadugede diharapkan dapat bertanya kepada ibu yang sudah berpengalaman dalam perawatan luka perineum, mencari tahu lewat media sosial ataupun bisa bertanya langsung kepada petugas kesehatan/bidan agar dapat memperluas pengetahuan ibu tentang perawatan luka perineum.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".