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Record W4389261604 · doi:10.36973/jkih.v9i2.320

PENGARUH POSYANDU REMAJA TERHADAP STATUS KESEHATAN REPRODUKSI DI SALAH SATU WILAYAH PUSKESMAS DI KABUPATEN BANDUNG TAHUN 2021

2021· article· id· W4389261604 on OpenAlexaff
Iceu Mulyati

Bibliographic record

VenueJURNAL KESEHATAN INDRA HUSADA · 2021
Typearticle
Languageid
FieldHealth Professions
TopicAdolescent Health and Behaviors
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

Masa remaja merupakan masa peralihaan atau perpindahan dari masa kanak-kanak ke masa dewasa, remaja akan mengalami tantangan baik yang berasal dari dirinya sendiri maupun tantangan dari luar.hal ini memberikan kebingungan kepada remaja yang dikhawatirkan remaja akan melakukan perilaku seksual yang tidak bertanggungjawab.Posyandu remaja adalah salah satu kegiatan yang bisa mengatasi permasalahan remaja.Metode penelitiannya menggunakan Quasi Experimental remaja yang di berikan pelayanan posyandu remaja,dilakukan pengukuran status kesehatan reproduksi sebelum dan sesudah. Sample remaja berusia 10-18 tahun.Analisis menggunakan uji Wilcoxcon didapatkan status kesehatan reproduksi yaitu pengetahuan sebelum 69,2% kurang sedangkan sesudah 71,8% tingkat pengetahuan baik nilai p-Value 0,000, status anemia sebelum 25,6 % anemia dan sesudah menjadi 5,1% yang mengalami anemia p-Value 0,01,status gizi sebelum 69,2 status gizi kurus, dan sesudah 59 % status gizi normal P-value 0,004 dari hasil penelitian tersebut dapat disimpulkan bahwa adanya pengaruh posyandu remaja terhadap peningkatan kesehatan reproduksi, dengan begitu posyandu remaja seharusnya terus dilaksanakan.

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)0.002
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 score0.229
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0100.003

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 head0.051
GPT teacher head0.365
Teacher spread0.314 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

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