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Record W3201378924 · doi:10.33867/jaia.v6i2.267

HUBUNGAN KEIKUTSERTAAN IBU HAMIL PADA KELAS IBU DENGAN INISIASI MENYUSU DINI DAN PEMBERIAN ASI EKSKLUSIF

2021· article· id· W3201378924 on OpenAlexaff
Giari Rahmilasari

Bibliographic record

VenueJurnal Asuhan Ibu dan Anak · 2021
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsGynecologyPhysicsMedicine

Abstract

fetched live from OpenAlex

Inisiasi Menyusu Dini (IMD) dan pemberian ASI eksklusif dipercaya sebagai cara untuk menurunkan kematian neonatus. IMD dan ASI Eksklusif menjadi salah satu materi penting yang disampaikan dalam Kelas ibu hamil. KIH juga merupakan usaha yang dilanjutkan untuk mencapai target SDG’s (Sustainable Development Goal’s).
 Tujuan penelitian ini untuk mengetahui hubungan keikutsertaan ibu dalam kelas ibu hamil dengan pelaksanaan IMD dan pemberian ASI Eksklusif. Manfaat secara langsung yaitu memberikan informasi mengenai IMD dan ASI Eksklusif pada subjek penelitian, dan menjadi data dasar bagi bidan wilayah sekitar dalam memberikan peningkatan pelayanan pada ibu hamil, khususnya pada pemberian pelayanan kelas ibu hamil. Data diambil dari enam desa yang berada di wilayah kerja Puskesmas Bojongsoang Kabupatem Bandung, yaitu Cipagalo, Bojongsoang, Bojongsari, Lengkong, Buahbatu, dan Tegalluar.
 Penelitian ini menggunakan rancangan cross sectional study, pada ibu yang memiliki bayi 0-5 tahun.
 Hasil penelitian menunjukkan bahwa ibu yang mengikuti kelas ibu hamil memiliki rerata pelaksanaan IMD yang lebih rendah (M=0,5489). Pada pemberian ASI Eksklusif data menunjukkan bahwa ibu yang mengikuti kelas ibu hamil memberikan ASI eksklusif jauh lebih tinggi (M=0,7191), dengan perbedaan yang sangat signifikan (t= -2,924, p<0,01). Maka dalam penelitian ini disimpulkan bahwa pelaksanaan kelas ibu berhubungan dengan pemberian ASI Eksklusi

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.001

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 head0.023
GPT teacher head0.292
Teacher spread0.270 · 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".

Quick stats

Citations4
Published2021
Admission routes1
Has abstractyes

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