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Record W4406971481 · doi:10.54082/jpmii.622

Peningkatan Kualitas Remaja dan Pencegahan Stunting melalui Program Remaja Sadar dan Kreatif Anti Pernikahan Dini di SMK Puspita Medika, Kelurahan Cilangkap, Kota Depok, Jawa Barat

2024· article· id· W4406971481 on OpenAlexaff
Vidi Vebriani, Tin Herawati, Saprudin Saprudin

Bibliographic record

VenueJurnal Pengabdian Masyarakat Inovasi Indonesia · 2024
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Permasalahan stunting masih menjadi perhatian dan salah satu penyebabnya adalah ketidaksiapan pasangan akibat menikah dini. Menurut data United Nations Children’s Fund (UNICEF) tahun 2023, Indonesia berada di posisi keempat dengan jumlah kasus pernikahan anak terbanyak di dunia yaitu sebanyak 25,53 juta kasus. Sementara itu, Indonesia membutuhkan remaja-remaja berkualitas dalam mewujudkan Indonesia Emas pada tahun 2045 mendatang. Tujuan dari program ini adalah untuk meningkatkan pengetahuan dan kesadaran diri remaja terhadap pentingnya pencegahan pernikahan dini melalui edukasi tahap perkembangan psikososial remaja dan pendewasaan usia perkawinan. Program ini melibatkan 37 remaja kelas XI dan XII di SMK Puspita Medika Kota Depok. Pelaksanaan program terdiri dari dua sesi. Sesi pertama yaitu edukasi mengenai tahap perkembangan psikososial remaja dan ancaman pergaulan bebas remaja, sementara sesi kedua membahas mengenai pendewasaan usia perkawinan dan perencanaan hidup remaja. Pengukuran keberhasilan dilakukan dengan pretest, post-test, dan Challenge terkait materi program. Hasil dari ketiga tes tersebut menunjukkan adanya peningkatan pengetahuan dan keterampilan remaja mengenai tahap perkembangan psikosial remaja dan pendewasaan usia perkawinan.

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)0.008
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), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0030.005
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0020.001
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0010.001

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 head0.030
GPT teacher head0.325
Teacher spread0.295 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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