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Record W4411797096 · doi:10.34305/jmc.v5i02.1642

Pengaruh teknik relaksasi nafas dalam terhadap nyeri ibu hamil menjelang persalinan

2025· article· id· W4411797096 on OpenAlexaboutno aff
Fanny Sukmasary

Bibliographic record

VenueJournal of Midwifery Care · 2025
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Latar Belakang: Rasa nyeri yang muncul saat proses persalinan membuat banyak ibu memilih cara tercepat dan termudah untuk meredakannya. Salah satu upaya untuk menurunkan tingkat nyeri pada ibu hamil adalah dengan menerapkan teknik relaksasi nafas dalam. Tujuan penelitian ini untuk mengetahui pengaruh teknik relaksasi nafas dalam terhadap nyeri ibu hamil menjelang persalinan di Kelurahan Gunung Puyuh Wilayah Kerja UPTD Puskesmas Cipelang Kota Sukabumi.Metode: Jenis penelitian menggunakan quasi experiment dengan pre-test and post-test control group design. Populasi adalah selurh ibu hamil yang mengalami nyeri dengan sampel 34 orang terbagi kedalam kelompok kontrol dan intervensi dengan menggunakan purposive sampling. Alat ukur yang digunakan pada variabel nyeri adalah instrumen baku mcgill scale. Analisa data menggunakan wilcoxon signed rank test dan uji Mann-Whitney.Hasil: Hasil penelitian menunjukkan terdapat perbedaan tingkat nyeri pada kelompok intervensi (p = 0,002), tidak terdapat perbedaan tingkat nyeri pada kelompok kontrol (p = 0,157), terdapat perbedaan tingkat nyeri pada kelompok kontrol dan kelompok intervensi (p = 0,005).Kesimpulan: Teknik relaksasi nafas dalam efektif dalam menurunkan nyeri ibu hamil menjelang persalinan. Disarankan agar teknik relaksasi nafas dalam menjadi alternatif dalam menangani nyeri pada ibu hamil menjelang persalinan.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.248
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.304
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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