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Record W2903729762 · doi:10.25139/htc.v1i2.1317

Faktor Yang Berhubungan Dengan Status Gizi Anak Batita Dari Pernikahan Usia Dini Di Kota Kediri

2018· article· id· W2903729762 on OpenAlexaff
Umianita Risca Wulandari, Dian Kumalasari

Bibliographic record

VenueJournal of Health Educational Science and Technology · 2018
Typearticle
Languageid
FieldSocial Sciences
TopicMarriage and Family Dynamics
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesPsychologyArt

Abstract

fetched live from OpenAlex

Abstrak : Pernikahan usia dini adalah pernikahan yang dilakukan oleh seorang perempuan yang berusia < 18 tahun. Pada usia tersebut masih tergolong masa remaja sehingga kondisi fisik dan psikologisnya belum matang dan rentan terjadi kehamilan di usia remaja yang tidak diinginkan. Hal tersebut akan berdampak terhadap status gizi anak yang dilahirkan. Tujuan penelitian ini adalah untuk mengetahui faktor yang berhubungan dengan status gizi anak batita dari pernikahan usia dini di kota Kediri. Jenis penelitian ini menggunakan metode analitik observasional dengan pendekatan cohor retrospektif. Penelitian dilaksanakan di wilayah Kecamatan Mojoroto Kota Kediri pada bulan Agustus tahun 2017. Populasi pada penelitian ini adalah seluruh batita yang berada di Kecamatan Mojoroto yang lahir dari ibu yang menikah usia < 18 tahun dan ≥ 18 tahun. Sampel dalam penelitian ini berjumlah 100 subjek. Teknik sampling yang digunakan yaitu fixed exprosure sampling yaitu sampel diambil dari status paparan subjek. Analisa data pada penelitian ini dengan uji chi square. Hasil penelitian menunjukkan bahwa usia menikah ibu, LILA saat hamil, berat badan lahir dan pendapatan keluarga berhubungan dengan status gizi anak batita dengan nilai p < 0,05. Sedangkan umur kehamilan saat lahir tidak berhubungan dengan status gizi anak batita dengan nilai p > 0,05.Kata kunci :PernikahanUsia dini, Status Gizi, Anak Batita

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.137

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0410.005

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 head0.024
GPT teacher head0.364
Teacher spread0.340 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2018
Admission routes1
Has abstractyes

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