HUBUNGAN PENGETAHUAN IBU HAMIL TRIMESTER III TENTANG PELAYANAN ANTENATAL CARE DENGAN KETERATURAN PEMERIKSAAN KEHAMILAN
Bibliographic record
Abstract
Ibu hamil perlu pendampingan pemeriksaan kehamilan (antenatal care). Berdasarkan wawancara yang dilakukan, dari 10 ibu hamil yang berkunjung di UPTD Puskesmas Sidemen Kabupaten Karangasem, didapatkan tujuh ibu hamil yang belum mengetahui standar pelayanan antenatal terpadu namun pemeriksaan kehamilan atau ANC yang diterapkan sudah sesuai standar 10T. Tujuan dilakukan penelitian ini untuk mengetahui hubungan pengetahuan ibu hamil trimester III tentang pelayanan ANC dengan keteraturan pemeriksaan kehamilan di Wilayah Kerja UPTD Puskesmas Sidemen Kabupaten Karangasem. Pengumpulan data penelitian ini dengan membagikan kuesioner. Analisis data menggunakan univariat dan bivariat menggunakan uji Chi Square dengan tingkat kemaknaan p<0,05. Hasil penelitian menunjukkan tingkat pengetahuan ibu hamil trimester III tentang ANC di wilayah kerja UPTD Puskesmas Sidemen Kabupaten Karangasem berpengetahuan baik sebesar 43,8%, berpengetahuan cukup sebesar 43,8%, dan berpengetahuan kurang 12,4%. Sementara tingkat keteraturan pemeriksaan kehamilannya menunjukkan responden melakukan pemeriksaan kehamilan secara teratur sebesar 68,8% dan secara tidak teratur sebesar 31,2%. Ada hubungan yang signifikan antara pengetahuan ANC dengan keteraturan pemeriksaan kehamilan (p=0,036) Keywords: Pengetahuan Pemeriksaan Kehamilan, Keteraturan Pemeriksaan Kehamilan
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 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".