SENAM NIFAS DAN MOBILISASI DINI TERHADAP PENURUNAN FUNDUS UTERI PADA IBU POST PARTUM DI PUSKESMAS TEMINDUNG
Bibliographic record
Abstract
Latar belakang: Perdarahan post partum dapat disebabkan oleh atonia uteri, robekan jalan lahir, retensio plasenta, inversio uteri dan pembekuan darah. Pada umumnya dengan melakukan senam nifas maka dapat mempercepat proses pemulihan kondisi ibu setelah melahirkan dan mencegah komplikasi yang mungkin terjadi selama masa nifas. Penelitian ini bertujuan mengetahui pengaruh senam nifas terhadap penurunan tinggi fundus uteri pada ibu post partum di Wilayah Kerja Puskesmas Temindung Samarinda. Metode penelitian: Penelitian ini merupakan penelitian pre experimental dengan pre test-post test control group design. Subjek penelitian yang diambil adalah semua ibu post partum yang melahirkan di Wilayah Kerja Puskesmas Temindung pada bulan Agustus-Oktober 2019. Sampel terdiri dar 2 kelompok dengan 48 responden, yang dipilih menggunakan teknik consecutive sampling. Analisis statistik uji t independen dengan tingkat signifikansi 0,05. Hasil: Hasil penelitian menunjukan perbedaan yang signifikan dari penurunan TFU pada ibu post partum antara kelompok yang melakukan senam nifas dan tidak senam nifas di Wilayah Kerja Puskesmas Temindung dibuktikan dengan p-value = 0,002. Kesimpulan dan saran: Pada penelitian ini Ho ditolak yang menunjukan bahwa ada pengaruh senam nifas terhadap penurunan tinggi fundus uteri pada ibu post partum di Klinik Kartika Jaya. Diharapkan senam nifas di terapkan oleh Wilayah Kerja Puskesmas Temindung karena bermanfaat dalam proses pemulihan kondisi ibu pasca partus.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 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".