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Record W4391052668 · doi:10.36419/jki.v15i1.986

HUBUNGAN DUKUNGAN KELUARGA DENGAN PEMILIHAN PENOLONG PERSALINAN PADA IBU HAMIL DI DESA MEKAR JAYA WILAYAH KERJA PUSKESMAS CAMPAKA KAB. CIANJUR PROV. JAWA BARAT

2024· article· id· W4391052668 on OpenAlexaff
Ai Rahmawati Dewi, Luluk Khusnul Dwihestie

Bibliographic record

VenueJurnal Kebidanan Indonesia · 2024
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

Latar Belakang: Indonesia adalah salah satu Negara dengan AKI dan AKB tertinggi di Asia. AKI di Kab. Cianjur pada tahun 2020 yaitu 22 kasus kematian ibu atau 56,83 per 100 ribu kelahiran hidup. Berbagai upaya telah dilakukan untuk mereduksi AKI di Indonesia antara lain meningkatkan pertolongan persalinan oleh tenaga profesional.Tujuan: Penelitian ini bertujuan untuk mengetahui hubungan dukungan keluarga dengan pemilihan penolong persalinan pada ibu hamil di Desa Mekar Jaya Wilayah Kerja Puseksmas Campaka.Metode: Penelitian ini menggunakan survey analitik dengan pendekatan cross-sectional. Teknik pengambilan sampel secara total sampling. Responden penelitian ini 47 orang. Dukungan keluarga dan pemilihan penolong persalinan diukur dengan kuesioner. Analisa data menggunakan uji statistic Chi-square. Hasil: Responden yang tidak mendapat dukungan keluarga yang memilih penolong persalinannya oleh non nakes (dukun) 17 responden (77,3%), dan yang memilih penolong persalinannya oleh nakes (bidan) 5 responden (22,7%). Ibu hamil yang mendapat dukungan keluaga yang memilih penolong persalinannya oleh non nakes 7 responden (28,0%) dan yang memilih penolong persalinannya oleh nakes (bidan) 18 responden (72,0%). Hasil uji Chi Square menunjukkan hasil P Value 0, 001 < α (0,05) dengan nilai keeratan 0,492.Keimpulan: Ada hubungan antara dukungan keluarga dengan pemilihan penolong persalinan pada ibu hamil di Desa Mekar Jaya Wilayah Kerja Puseksmas Campaka.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0000.002

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.

Opus teacher head0.016
GPT teacher head0.282
Teacher spread0.266 · 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; both teacher heads agree on what is shown here.

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
Published2024
Admission routes1
Has abstractyes

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