HUBUNGAN PENGETAHUAN DENGAN MINAT IBU HAMIL TM II DAN III TERHADAP PRENATAL GENTLE YOGA
Bibliographic record
Abstract
Kehamilan merupakan sebuah proses alamiah pada manusia tanpa kondisi yang patologis, ibu hamil dapat melakukan prenatal gentle yoga untuk menjaga kesehatan selama kehamilan. Banyaknya promosi tentang prenatal gentle yoga tidak serta langsung menarik minat para ibu hamil padahal banyak manfaat yang bisa didapatkan. Penelitian ini bertujuan untuk menganalisa hubungan pengetahuan dengan minat ibu hamil trimester II dan III terhadap prenatal gentle yoga di Desa Madegondo, Kecamatan Grogol, Kabupaten Sukoharjo. Jenis penelitian ini adalah Analitik Correlational dengan rancangan Cross Sectional. Populasi penelitian ini adalah seluruh ibu hamil trimester II dan III di Desa Madegondo Kecamatan Grogol Kabupaten Sukoharjo sejumlah 30 ibu hamil. Sampel penelitian sejumlah 30 ibu hamil, diambil secara Proporsional Random Sampling. Variabel independent penelitian ini adalah pengetahuan ibu hamil tentang prenatal gentle yoga dan variabel dependent penelitian ini adalah minat ibu hamil terhadapa prenatal gentle yoga. Instrument penelitiannya menggunakan kuesioner. Pengolahan data menggunakan Editing, Coding, Scoring, Tabulating dan Uji statistik Spearman Rank. Hasil penelitian menunjukkan pengetahuan ibu hamil tentang senam yoga didapatkan 20 responden berpengetahuan cukup (66,7%), sedangkan minat ibu hamil dalam penerapan senam yoga didapatkan 19 responden minat sedang (63,3%). Uji statistik Spearman Rank menunjukkan bahwa ρ value = 0,000< α (0,05), sehingga H1 diterima. Kesimpulan penelitian ini ada hubungan pengetahuan dengan minat ibu hamil TM II dan III terhadap prenatal gentle yoga di Desa Madegondo Kecamatan Grogol Kabupaten Sukoharjo.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.020 | 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; 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".