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Record W4315561899 · doi:10.33023/jikep.v8i2.1161

HUBUNGAN POLA ASUH IBU DENGAN KEJADIAN STUNTING PADA BALITA DI DESA KERTOSARI WILAYAH KERJA PUSKESMAS KERTOSARI BANYUWANGI

2022· article· id· W4315561899 on OpenAlexaff
Indah Christiana, Annisa Nur Nazmi, Fatima Harifatun Anisa

Bibliographic record

VenueJurnal Ilmiah Keperawatan (Scientific Journal of Nursing) · 2022
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

Pendahuluan : : Indonesia termasuk urutan ketiga negara dengan pravelensi tertinggi di Asia untuk kasus stunting. Stunting merupakan kondisi dimana badan balita lebih pendek dibandingan dengan anak seusianya. Stunting ini dipengaruhi salah satunya dengan pola asuh ibu, apabila stunting tidak segera ditangani akan berdampak terhadap pertumbuhan dan resiko penyakit tidak menular. Tujuan: adalah untuk mengetahui hubungan pola asuh ibu dengan kejadian stunting pada balita di Desa Kertosari Wilayah Kerja Puskesmas Kertosari. Metode: : Desain penelitian ini menggunakan analitik korelasi dengan pendekatan cross sectional populasi dalam penelitian ini adalah semua ibu yang memiliki balita yang mengalami stunting sejumlah 45 dan jumlah sampel 40 responden, yang menggunakan purposive sampling kemudian dilakukan Uji statistik dengan menggunakan Rank Spearman, dan Spss 16 for windows. Hasil: Didapatkan bahwa nilai p-value 0,030 < 0,05 maka ada hubungan pola asuh ibu dengan kejadian stunting pada balita di Desa Kertosari Wilayah kerja Puskesmas Kertosari. Kesimpulan: bagi ibu yang memiliki balita untuk memperhatikan asupan gizi serta memantau pertumbuhan dan perkembangan anak dan rutin datang ke posyandu untuk mendeteksi secara dini kejadian 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)0.012
metaresearch head score (Gemma)0.002
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)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.348
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.004
Science and technology studies0.0060.001
Scholarly communication0.0020.002
Open science0.0020.000
Research integrity0.0010.007
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.319
Teacher spread0.283 · 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 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
Published2022
Admission routes1
Has abstractyes

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