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Record W4212913563 · doi:10.55313/ojs.v8i1.66

Hubungan Tingkat Pengetahuan dengan Sikap Ibu Hamil Tentang Inisiasi Menyusui Dini (Imd) di Puskesmas Kasreman Kabupaten Ngawi

2021· article· id· W4212913563 on OpenAlexaff
R Riris Diana, Rini Komalawati, Marwan Marwan

Bibliographic record

Venuee-Journal Cakra Medika · 2021
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

Inisiasi menyusui dini merupakan menyusui yang dilakukan satu jam pertama setelah lahir sampai proses awal berakhir. Data World Health Organization (WHO) menyatakan angka kematian bayi (AKB) pada tahun 2018 sebesar 28,9 per 1000 kelahiran hidup. Negara Afrika menepati urutan pertama kematian neonatal dengan pravelensi 51,8 per 1000 kelahiran hidup, diikuti oleh Eastern Mediterranean 37,2 per 1000 angka kelahiran hidup, dan South-East Asia 27,6 per 1000 angka kelahiran. Tujuan penelitian : untuk mengetahui hubungan tingkat pengetahuan dengan sikap ibu hamil tentang inisiasi menyusui dini di Kecamatan Kasreman. Metode penelitian : Desain yang digunakan dalam penelitian adalah desain korelasi dengan pendekatan cross sectional dengan consecutif sampling. Jumlah sampel 30 dengan katagori inklusi dan eksklusi. Analisa univariat menggunakan statistic deskriptif dan analisa bivariat menggunakan uji chi square. Hasil penelitian : Di dapat bahwa responden penelitian ini terbanyak memiliki pengetahuan baik dan memiliki sikap positif tentang IMD, yaitu sebanyak 17 responden (56,7%) memiliki pengetahuan baik dan 12 responden (40,0%) memiliki sikap positif. Dari uji statistic chi square di peroleh ρ = 0,002 berarti H1 diterima atau terdapat hubungan antara tingkat pengetahuan dengan sikap ibu hamil tentang inisiasi menyusui dini. Kesimpulan : Ada hubungan tingkat pengetahuan dengan sikap ibu hamil tentang inisiasi menyusui dini (IMD)

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)0.006
metaresearch head score (Gemma)0.005
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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.310
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.036
GPT teacher head0.311
Teacher spread0.275 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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