Hubungan Motivasi dengan Perilaku Ibu Post Partum dalam Melakukan Mobilisasi Dini
Bibliographic record
Abstract
Perdarahan Pasca persalinan merupakan salah satu penyebab kematian pada ibu. Yang mana penyebab terbanyak dari perdarahan pasca persalinan tersebut 50-60% karena kelemahan otot atau tidak adanya kontraksi uterus. Hal ini bias disebabkan karena ibu post partum tidak melakukan mobilisasi dini pasca bersalin normal 24 jam pertama setelah proses persalinan dan hari-hari berikutnya. Rancang bangun analitik - cross sectional. Jumlah sampel sebanyak 28 orang dan teknik pengambilan sampel consecutive sampling. Variabel independen adalah motivasi ibu post partum melakukan mobilisasi dini, sedangkan variabel dependentnya adalah perilaku ibu post partum dalam melakukan mobilisasi dini, pengumpulan data dengan menggunakan kuesioner. Berdasarkan hasil penelitian bahwa lebih dari 50% responden (60%) tidak termotivasi dalam melakukan mobilisasi dini, paling banyak perilaku ibu post partum melakukan mobilisasi dini adalah kurang sebanyak t orang (48%). Hasil uji wilcoxon didapatkan bahwa α hitung lebih kecil dari α tabel yaitu 0,000 < 0,05, artinya ada hubungan antara motivasi dengan perilaku ibu dalam melakukan mobilisasi dini. Diharapkan bidan dapat memberikan informasi tentang mobilisasi dini dengan menerapkan langsung dan juga membantu ibu post partum dalam melakukan mobilisasi dini sehingga ibu post partum tidak takut untuk melakukan mobilisasi dini.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.019 | 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".