Keberhasilan Pemberian ASI Pada Dua Bulan Pertama Menyusui Ditinjau Dari Dukungan Suami
Bibliographic record
Abstract
Manfaat pemberian ASI bagi bayi belum meningkatkan cakupan pemberian ASI Ekslusif di Dunia maupun di Indonesia. Data World Health Organization tahun 2016 rata-rata angka pemberian ASI eksklusif di dunia sebesar 38%. Cakupan ASI ekslusif di Indonesia tahun 2017 sebesar 29.5 %. Survey Hellen Keller Internasional menyatakan rata rata bayi di Indonesia mendapatkan ASI secara Ekslusif selama 1.7 bulan (Fikawati & Syafiq, dkk, 2010). Keberhasilan pemberian ASI Ekslusif dipengaruhi beberapa faktor yaitu pengetahuan, pekerjaan, tingkat pendidikan, dukungan tenaga kesehatan, dukungan suami dan keluarga serta Inisiasi Menyusu Dini (Kadir, 2014). Tujuan penelitian mengetahui pengaruh dukungan suami terhadap keberhasilan pemberian ASI dalam dua bulan pertama menyusui. Manfaat peneltian memberikan gambaran kepada bidan untuk memberikan motivasi kepada suami agar berperan aktif dalam memberikan dukungan kepada ibu menyusui. Sampel dalam penelitian ini 53 ibu yang mempunyai bayi minimal usia 2 bulan. Hasil penelitian menunjukkan bahwa nilai sig > 0,05 berarti tidak terdapat pengaruh dukungan suami terhadap pemberian ASI. Meskipun tidak bermakna secara satitistik tetapi dukungan suami diperlukan oleh ibu untuk meningkatkan percaya diri ibu dalam menyusui.
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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 | 0.000 |
| 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 | 0.002 |
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".