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Record W4382289997 · doi:10.31290/majory.v3i2.1717

Gambaran Faktor Yang Mempengaruhi Ibu Dalam Pengambilan Keputusan Pada Persalinan Dukun di Wilayah Puskesmas Rowotengah Kabupaten Jember Tahun 2019

2022· article· W4382289997 on OpenAlexaff
Wiwik Daniatul Maula, Elfira Nurul Aini, Jamhariyah Jamhariyah

Bibliographic record

VenueMALANG JOURNAL OF MIDWIFERY (MAJORY) · 2022
Typearticle
Language
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMedicineGynecologyHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Persalinan adalah proses alamiah yang terjadi dengan adanya kontraksi rahim ibu dan di ikuti dengan pembukaan servik untuk mengeluarkan bayi dan plasenta. Di wilayah Puskesmas Rowotengah masih terdapat persalinan dukun,urutan ketiga (6,92%) di kabupaten jember dengan jumlah kematian 3 ibu pada tahun 2018, satu AKI diantaranya meninggal karena di tolong oleh dukun. Tujuan penelitian ini untuk megetahui gambaran faktor yang mempengaruhi ibu dalam pengambilan keputusan pada persalinan dukun di Wilayah Puskesmas Rowotengah. Penelitian ini merupakan penelitian kuantitatif dengan pendekatan cross sectional, Instrumen penelitian berupa kuesioner,dengan populasi 56 ibu. Teknik sampling menggunakan simple random sampling. Data dianalisis secara univariat. Hasil penelitian dari 49 responden menunjukkan bahwa pengambilan keputusan pada persalinan dukun di sebabkan oleh pengetahuan ibu yang masih kurang(59,2 %) , sikap ibu pada pengambilan keputusan persalinan dukun positif (51 %), kepercayaan ibu pada pengambilan keputusan persalinan dukun dengan kepercayaan positif (77,6%), sedangkan yang mendapat dukungan baik dari suami pada pengambilan keputusan persalinan dukun yaitu sebesar (51%), sehingga peran bidan diharapkan dapat lebih aktif memberikan penyuluhan tentang bahaya persalinan serta meningkatkan kerjasama lintas sektor dalam kemitraan bidan dan dukun.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0070.000

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 head0.016
GPT teacher head0.260
Teacher spread0.244 · 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 designObservational
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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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