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Record W3177334476 · doi:10.35790/ecl.v9i1.31856

Perbedaan Pengetahuan dan Sikap Remaja tentang Infeksi Menular Seksual di SMA/SMK Perkotaan dan Pedesaan

2021· article· en· W3177334476 on OpenAlexaff
Erald J. Lanes, Suzanna P. Mongan, John Wantania

Bibliographic record

Venuee-CliniC · 2021
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Health and Behaviors
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsRural areaMedicineSexual behaviorDescriptive researchRural populationSex educationDemographyPopulationEnvironmental healthClinical psychologySociology

Abstract

fetched live from OpenAlex

Abstract: Premarital sexual behavior in adolescence is a high risk factor for sexually transmitted infections. Sexually transmitted infections (STIs) are infections that are generally transmitted through sexual contact. Differences in social, cultural, and economic factors were found to affect the incidence and prevalence of sexually transmitted infections between different groups in a population. These are likely caused by differences in the knowledge and attitudes of adolescents living in urban and rural areas. This study was aimed to obtain the differences in the level of knowledge and attitudes toward STIs of adolescents in urban and rural area schools. This was a descriptive study with a cross-sectional design conducted on 50 adolescents of urban senior high schools and 50 adolescents of rural senior high schools/vocational high schools. Questionnaires were distributed via email by using Google form. The results showed that adolescents living in urban areas had good knowledge about STIs meanwhile adolescents living in rural areas had fair knowledge. The attitudes about STIs of most adolescents living in urban areas and rural areas were good. In conclusion, adolescents living in urban areas had better knowledge about STIs than those living in rural areas, however, there was no significant difference in attitudes about STI between the two regions. Equal distribution of education in Indonesia is needed in urban as well as in rural areas.Keywords: sexually transmitted infections, adolescents, knowledge, attitudes, urban and rural Abstrak: Perilaku seksual pranikah pada usia remaja merupakan faktor risiko tinggi terhadap infeksi menular seksual (IMS). Infeksi menular seksual merupakan infeksi yang umumnya ditularkan melalui hubungan seksual. Perbedaan faktor sosial, kultural maupun ekonomi dapat memengaruhi insiden dan prevalensi IMS antara kelompok yang berbeda dalam suatu populasi. Hal tersebut kemungkinan besar disebabkan oleh adanya perbedaan pengetahuan dan sikap remaja yang tinggal di wilayah perkotaan dan pedesaan. Penelitian ini bertujuan untuk mengetahui perbedaan tingkat pengetahuan dan sikap remaja terhadap IMS di sekolah wilayah perkotaan dan pedesaan. Jenis penelitian ialah deskriptif dengan desain potong lintang dan kuesioner didistribusikan secara daring menggunakan Google Form. Responden ialah 50 remaja di SMA wilayah perkotaan dan 50 remaja di SMA/SMK wilayah pedesaan. Hasil penelitian mendapatkan bahwa pengetahuan remaja tentang IMS pada siswa SMA perkotaan sebagian besar berada dalam kategori baik sedangkan pada siswa SMA/SMK pedesaan sebagian besar berada dalam kategori cukup. Sikap remaja tentang IMS pada siswa SMA/SMK perkotaan dan pedesaan sebagian besar baik. Simpulan penelitian ini ialah remaja perkotaan memiliki pengetahuan yang lebih baik mengenai IMS dibandingkan remaja di pedesaan namun tidak terdapat perbedaan sikap remaja yang bermakna mengenai IMS antara kedua wilayah. Pemerataan pendidikan di Indonesia dibutuhkan di wilayah perkotaan dan pedesaan.Kata kunci: infeksi menular seksual, remaja, pengetahuan, sikap, perkotaan dan pedesaan

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)0.001
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 categoriesInsufficient 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 score0.322
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0240.014

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 head0.116
GPT teacher head0.465
Teacher spread0.349 · 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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