EFEKTIFITAS TERAPI MUROTTAL-QUR’AN DAN MUSIK KLASIK TERHADAP TINGKAT KECEMASAN IBU BERSALIN DI BPM TETI HERAWATI PALEMBANG
Bibliographic record
Abstract
Persalinan merupakan proses alamiah, sering kali nyeri yang dialami saat persalinan menjadikan wanita menjadi takut, cemas dan khawatir. Proses persalinan merupakan peristiwa yang melelahkan sekaligus berisiko, tidak mengherankan calon ibu yang akan melahirkan diselimuti rasa takut, panik dan gugup. Seorang wanita yang merasa cemas pada saat persalinan dapat mengancam keselamatannya dan bayinya. Salah satu manajemen kecemasan yakni dengan terapi distraksi. Tujuan penelitian untuk menganalisis efektiftas tingkat kecemasan ibu bersalin dengan terapi murottal Qur’an dan musik klasik di BPM Teti Herawati Palembang. Desain penelitian Randomized matched two group design. Alat ukur penelitian kuesioner dan Hamilton Anxiety Rating Scale. Analisis data dengan uji Wilcoxon dan uji Chi-Square. Hasil analis uji Wilcoxon didapatkan perbedaan yang signifikan tingkat kecemasan (p value = 0,001) sebelum dan setelah diberikan terapi murotal Qur’an. Begitupun dengan kelompok terapi musik klasik (p value = 0,001). Hasil analisis Chi-Square tidak terdapat perbedaan yang signifikan terhadap tingkat kecemasan ibu (p value = 0,336) antara ibu dengan terapi murottal Qur’an dan terapi musik klasik. Dapat disimpulkan baik terapi murotal maupun terapi musik klasik signifikan dapat mengurangi tingkat kecemasan ibu namun tidak terdapat perbedaan yang signifkan antara terapi murotal Qur’an dan terapi musik klasik dalam mengurangi kecemasan ibu
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.020 | 0.001 |
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".