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Record W4327518408 · doi:10.24156/jikk.2023.16.1.37

PENGARUH KARAKTERISTIK REMAJA DAN KELUARGA, SERTA GAYA PENGASUHAN ORANG TUA TERHADAP KUALITAS HIDUP REMAJA DI WILAYAH PESISIR

2023· article· id· W4327518408 on OpenAlexaff
Risda Rizkillah, Dwi Hastuti, Defina Defina

Bibliographic record

VenueJurnal Ilmu Keluarga dan Konsumen · 2023
Typearticle
Languageid
FieldHealth Professions
TopicAdolescent Health and Behaviors
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPsychologyHumanitiesArt

Abstract

fetched live from OpenAlex

Bonus demografi akan dihadapi dengan baik apabila terwujudnya optimalisasi pada pembangunan pemuda, namun hal tersebut menjadi tantangan khususnya bagi remaja di area pesisir yang memiliki faktor sosiodemografi yang lebih rentan dibandingkan remaja di area lainnya. Tujuan dari penelitian adalah menganalisis pengaruh karakteristik remaja, karakteristik keluarga, dan gaya pengasuhan terhadap kualitas hidup remaja di wilayah pesisir. Penelitian ini menggunakan metode kuantitatif dengan desain cross-sectional study. Penelitian dilaksanakan di satu SMA dan SMK yang dipilih secara purposif di wilayah pesisir Cirebon Utara. Teknik penarikan sampel dilakukan dengan metode cluster random sampling dan didapatkan sampel sebanyak 195 remaja yang memiliki orang tua lengkap. Hasil penelitian menunjukkan bahwa gaya pengasuhan dan kualitas hidup remaja hampir separuhnya masuk dalam kategori rendah. Remaja laki-laki memiliki gaya pengasuhan lebih baik dibandingkan remaja perempuan. Namun, remaja perempuan merasakan kualitas hidup yang lebih baik dibandingkan remaja laki-laki. Remaja di SMA merasakan gaya pengasuhan yang lebih baik dibandingkan remaja di SMK. Hasil uji SEM menunjukkan bahwa gaya pengasuhan berpengaruh positif signifikan terhadap kualitas hidup remaja, sedangkan besar keluarga berpengaruh negatif signifikan terhadap kualitas hidup remaja. Implikasi penelitian ini adalah hasil temuan dapat memberikan masukan bagi pemangku kepentingan untuk melakukan optimalisasi kualitas hidup remaja di wilayah pesisir dengan lebih efektif.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.003
Science and technology studies0.0070.001
Scholarly communication0.0010.001
Open science0.0030.002
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0030.010

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 head0.078
GPT teacher head0.393
Teacher spread0.315 · 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

Citations5
Published2023
Admission routes1
Has abstractyes

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