STUDI PREVALENSI KEJADIAN DIARE PADA BAYI PASCA LAHIR DI RSUD DR. SLAMET KABUPATEN GARUT
Bibliographic record
Abstract
Diare merupakan salah satu penyebab kematian bayi terutama di negara berkembang. Diare merupakan penyakit endemis yang diakibatkan oleh bakteri. Diare bayi dipengaruhu oleh beberapa faktor diantarannya faktor berasal dari ibu, bayi dan lingkungan. Kejadian diare yang terjadi di RSU dr. Slamet Kabupaten Garut belum diketahui penyebab pastinya sehingga diperlukan penelitian awal. Penelitian ini bertujuan melihat prevalensi kejadian diare di RSU dr Slamet. Mendeskripsikan faktor-faktor, mendeskripsikan hasil pemeriksaan kualitas mikrobiologi (E.Coli dalam air dan peralatan bayi) dan mendiskripsikan perilaku perawat. Jenis penelitian yang dilakukan adalah deskriptif dengan rancangan cross sectional. Pengambilan data untuk penelitian yaitu semua populasi bayi yang dilahirkan di bulan Oktober-Desember 2010 sebanyak 316 bayi dengan penderita diare sebanyak 100 bayi sehingga prevalensi kejadian sebanyak 31,6%. Keseluruhan sampel responden yang diambil berjumlah 13 orang dan sampel air bersih untuk diperiksa dilaboratorium berjumlah 4 titik. Beberapa faktor yang diduga mempengaruhi kejadian diare adalah kualitas air minum dan peralatan bayi secara mikrobiologi, pemberian susu formula pada bayi, perilaku perawat Kata Kunci: diare, kualitas mikrobiologis air, bayi.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
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".