MétaCan
Menu
Back to cohort
Record W3215558683 · doi:10.34305/jikbh.v12i2.326

PERILAKU MEROKOK DAN KEBERADAAN PEROKOK DI LINGKUNGAN DENGAN KADAR KARBON MONOKSIDA PADA PELAJAR DI KABUPATEN INDRAMAYU

2021· article· id· W3215558683 on OpenAlexaff
Andy Muharry, Puji Laksmini, Hendra Rohman, Lusi Fitriah Sari, Ana Herlina, Tetha Normalitha

Bibliographic record

VenueJurnal Ilmu Kesehatan Bhakti Husada Health Sciences Journal · 2021
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsGynecologyMedicine

Abstract

fetched live from OpenAlex

Perilaku merokok saat ini tidak hanya dilakukan oleh orang dewasa akan tetapi dilakukan juga oleh kalangaan remaja. Data SDKI menujukkan bahwa tren remaja perokok setiap tahun terus mengalami peningkatan. Karbon monoksida yang terdapat dalam asap rokok memiliki sifat beracun dan karsinogen yang dapat menimbulkan masalah kesehatan. Tujuan penelitian adalah menganalisis hubungan pengetahuan tentang dampak buruk rokok, keberadaan perokok di lingkungan sekolah, keberadaan perokok di lingkungan keluarga, teman dekat perokok dengan kadar CO pada pelajar. Populasi adalah pelajar SMP kelas satu yang terdata dalam program skrining perilaku merokok tahun 2020. Sampel adalah remaja SMP yang memenuhi kriteria inklusi, diambil dengan metode total sampling. Uji chi square dilakukan untuk mengetahui hubungan variabel pengetahuan tentang dampak buruk rokok, keberadaan keluarga perokok, keberadaan perokok di sekolah dan teman dekat perokok dengan kadar CO. Uji regresi logistik dilakukan untuk mengetahui variabel yang dominan berhubungan dengan kadar CO pada remaja. Hasil penelitian menujukkan variabel yang berhubungan dengan kadar CO yaitu keberadaan anggota keluarga perokok, keberadaan teman dekat perokok dan perilaku merokok. Hasil analisis multivariat menujukkan bahwa variabel yang dominan berhubungan dengan kadar CO yaitu perilaku merokok. Disarankan perlu adanya upaya peningkatan kesadaran kepada para remaja untuk menghindari perilaku merokok

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)0.013
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
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.218
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.005
Science and technology studies0.0080.002
Scholarly communication0.0030.003
Open science0.0020.001
Research integrity0.0010.008
Insufficient payload (model declined to judge)0.0010.000

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 head0.042
GPT teacher head0.340
Teacher spread0.298 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJurnal Ilmu Kesehatan Bhakti Husada Health Sciences JournalSame topicPublic Health and NutritionFrench-language works237,207