Hubungan Pemberian ASI Eksklusif Dan Paparan Asap Rokok Dengan Status Gizi Baduta Di Kecamatan Muntilan Kabupaten Magelang
Bibliographic record
Abstract
Masalah gizi pada anak di bawah dua tahun (baduta) masih menjadi perhatian penting dalam kesehatan masyarakat di Indonesia. Penelitian memiliki tujuan yaitu menganalisis hubungan perilaku ibu—pemberian ASI eksklusif dan paparan asap rokok—dengan status gizi baduta usia 1–6 bulan di area kerja Kecamatan Muntilan, Kabupaten Magelang, tahun 2025. Penelitian menerapkan desain kuantitatif melalui pendekatan potong lintang (cross-sectional) dan diikuti 124 ibu serta 56 baduta yang dipilih melalui teknik purposive sampling. Data diperoleh melalui wawancara terstruktur dan pengukuran antropometri berdasarkan indikator berat badan berdasarkan usia (BB/U) dan panjang badan berdasarkan usia (PB/U) sesuai standar WHO 2006. Analisis data dilakukan secara univariat dalam menunjukkan distribusi frekuensi dan persentase setiap variabel. Hasil menunjukkan mayoritas ibu memberikan ASI eksklusif, sementara lebih dari separuh keluarga masih terpapar asap rokok. Mayoritas anak mempunyai status gizi normal, tetapi ditemukan sebagian kecil dengan gizi kurang dan berlebih. Hasil ini menegaskan bahwa pemberian ASI eksklusif dan lingkungan rumah tangga bebas asap rokok berperan penting dalam menjaga gizi anak. Diperlukan penguatan edukasi gizi dan intervensi lingkungan untuk mendukung pertumbuhan baduta yang sehat dan optimal.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".