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Record W3213767158 · doi:10.36465/jkbth.v21i2.762

PERBEDAAN TINGKAT KECUKUPAN NUTRISI DAN PEMBERIAN ASI PADA BALITA STUNTING DAN TIDAK STUNTING

2021· article· id· W3213767158 on OpenAlexaff
Yona Septina, Sri Putri, Heri Hermansyah, Siti Nurjannah

Bibliographic record

VenueJurnal Kesehatan Bakti Tunas Husada Jurnal Ilmu-ilmu Keperawatan Analis Kesehatan dan Farmasi · 2021
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicFood and Agricultural Sciences
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

Kurangnya asupan zat gizi dapat menyebabkan stunting. Prevalensi stunting di Indonesia 27,67% pada tahun 2019 (Riskesdas, 2019) sedangkan di Kabupaten Kuningan 42% salah satunya Kecamatan Jalaksana Desa Sukamukti terdapat 20 balita sangat pendek dan 115 balita pendek. Penelitian ini bertujuan untuk mengetahui perbedaan tingkat kecukupan nutrisi dan pemberian ASI pada balita stunting dan tidak stunting di Desa Sukamukti Wilayah Kerja UPTD Puskesmas Jalaksana Tahun 2020. Jenis penelitian comparative study dengan desain cross sectional. Populasi 241 balita, menggunakan teknik Proportionate Stratified Random Sampling jumlah sampel yaitu 150 responden. Analisis data menggunakan uji Mann Witney. Sebagian besar balita memiliki kecukupan nutrisi dalam kategori normal sebanyak 118 responden (78,7%), diberikan ASI secara ekslusif sebanyak 93 responden (62%), tidak stunting sebanyak 79 responden (52,7%). Terdapat perbedaan kecukupan nutrisi (p value = 0,001) dan pemberian ASI (p-value=0,002) pada balita stunting dan tidak stunting. Kesimpulan terdapat perbedaan kecukupan nutrisi dan pemberian ASI pada balita stunting dan tidak stunting, diharapkan dapat meningkatkan pemberian ASI dan porsi makanan yang bergizi supaya tidak terjadi stunting.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0000.008
Science and technology studies0.0090.002
Scholarly communication0.0100.005
Open science0.0070.003
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.254
Teacher spread0.228 · 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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