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Record W3112661089 · doi:10.37695/pkmcsr.v3i0.862

UPAYA PENCEGAHAN STUNTING SEJAK PRA KONSEPSI MELALUI MODUL NKR_CATEN DAN KONSELING

2020· article· id· W3112661089 on OpenAlexaff
Triawanti Triawanti, Didik Dwi Sanyoto, Fujiati Fujiati, Bambang Setiawan, Emmi Erliyanti, Siti Juliati

Bibliographic record

VenueProsiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) · 2020
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesMathematicsArt

Abstract

fetched live from OpenAlex

Prevalensi balita stunting di Kalimantan Selatan tahun 2018 sebesar 31%, balita kurus dan sangat kurus sebesar 10,2%. Di Kabupaten Banjar jumlah kecamatan yang bebas rawan gizi hanya 31,5%. Faktor yang mempengaruhi masalah gizi pada bayi maupun balita meliputi kondisi fisik, umur dan pengetahuan ibu. Status gizi dan asupan nutrisi yang baik pada pra-kehamilan ikut menentukan dan dapat diantisipasi sejak dini. Calon penganten (Caten ) merupakan sasaran yang tepat dalam pencegahan permasalahan gizi. Tujuan kegiatan ini adalah untuk meningkatkan pengetahuan pasangan caten tentang kesehatan reproduksi, nutrisi, dan tumbuh kembang bayi. Metode kegiatan: 1) pembuatan modul NKR_CATEN; 2) pencetakan modul; 3) membagikan modul sekaligus pemberian konseling kepada calon penganten; dan 4) Evaluasi kegiatan. Mitra kegiatan yaitu Kantor Urusan Agama (KUA) Kecamatan Martapura Barat. Hasil kegiatan didapatkan usia calon penganten yang terlibat kegiatan ini rata-rata di atas 20 tahun dan pendidikan setingkat SMA dan PT sebanyak 50%. Hal ini menjadi modal yang baik bagi caten untuk memberikan pengasuhan bagi anak-anaknya. Setelah pemberian modul NKR_CATEN dan konseling pada calon penganten terlihat peningkatan pengetahuan calon penganten pada saat posttest. Nilai rerata yang diperoleh lebih tinggi dibanding pretest. Kesimpulan: pemberian modul NKR-CATEN dapat meningkatkan pengetahuan calon penganten mengenai nutrisi dan kesehatan reproduksi. Diharapkan modul NKR-CATEN dapat diterapkan di tempat lain.

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)0.011
metaresearch head score (Gemma)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
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
Metaresearch0.0110.024
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.004
Science and technology studies0.0050.002
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0000.001

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 head0.142
GPT teacher head0.321
Teacher spread0.180 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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