GAMBARAN PENGETAHUAN IBU HAMIL TENTANG KELAS IBU HAMIL DI WILAYAH KERJA PUSKESMAS NUSA INDAH KOTA BENGKULU TAHUN 2016
Bibliographic record
Abstract
Program kelas ibu hamil adalah salah satu bentuk pendidikan prenatal yang dapat meningkatkan pengetahuan ibu hamil, terjadi perubahan perilaku positif sehingga ibu memeriksakan kehamilan dan melahirkan ke tenaga kesehatan dengan demikian akan meningkatkan persalinan ke tenaga kesehatan dan menurunkan angka kematian ibu dan anak. Penelitian ini bertujuan untuk diketahuinya gambaran pengetahuan ibu hamil tentang kelas ibu hamil di wilayah kerja puskesmas Nusa Indah kota Bengkulu tahun 2016. Penelitian ini merupakan penelitian deskriptif, populasi sebanyak 509 ibu hamil dan sampel sebanyak 84 responden dengan Teknik Accidental Sampling yang dilaksanakan di wilayah kerja puskesmas Nusa Indah kota Bengkulu tahun 2016. Hasil penelitian menunjukkan dari 84 responden terdapat (59,5%) memiliki pengetahuan kurang, dan (27,4%) memiliki pengetahuan cukup, sedangkan yang berpengetahuan baik yaitu (13,1%). Diharapkan kepada pihak puskesmas untuk lebih meningkatkan mutu pelayanan dengan penyuluhan kepada ibu tentang kelas ibu hamil sehingga ibu mengetahui pentingnya kelas ibu hamil bagi ibu hamil.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".