ANALISIS FAKTOR RISIKO WASTING PADA BALITA DI WILAYAH KERJA PUSKESMAS IDI RAYEUK KABUPATEN ACEH TIMUR TAHUN 2019
Bibliographic record
Abstract
Tujuan penelitian ini adalah untuk menganalisis faktor risiko wasting pada balita di Wilayah Kerja Puskesmas Idi Rayeuk Kabupaten Aceh Timur Tahun 2019. Penelitian ini merupakan penelitian analitik dengan desain kasus control (case control design) dengan jumlah responden sebanyak 86 responden. Pengumpulan data yang dilakukan dengan menggunakan kuisioner, sedangkan analisa data pada penelitian ini menggunakan analisa multivariat Regresi Logistik Berganda Data dianalisis secara univariat, bivariat dengan uji chi square dan multivariate dengan uji regresi logistik. Hasil uji statistika diperoleh didapatkan odds ratio (OR) penyakit infeksi sebesar 15,797 artinya balita yang mengalami riwayat penyakit infeksi memiliki peluang 15,7 kali mengalami wasting dibandingkan balita yang tidak memiliki riwayat penyakit infeksi. Diharapkan kepada petugas kesehatan khususnya pelaksanaan program gizi agar dapat memantau secara berkala dan mengatasi masalah status gizi balita terutama masalah wasting yang dialami balita.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".