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Record W4376286976 · doi:10.51878/knowledge.v3i1.2192

KEJADIAN PEROKOK ANAK DI KAMPUNG SELAYAR KOTA MAKASSAR

2023· article· en· W4376286976 on OpenAlexaboutno aff
I MADE SUKARTA, B Suriani, Marsuki Marsuki

Bibliographic record

VenueKNOWLEDGE Jurnal Inovasi Hasil Penelitian dan Pengembangan · 2023
Typearticle
Languageen
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsSocioeconomic statusIndonesianChristian ministryGeographySocioeconomicsDemographyPopulationQuarter (Canadian coin)Incidence (geometry)Environmental healthMedicinePolitical scienceSociology

Abstract

fetched live from OpenAlex

Healthy in Health Act No. 36 of 2009 Chapter 1 Article 1 states that health is a state of well-being of body, soul and social that allows everyone to live productively socially and economically. The ASEAN Tobacco Control Report (2019) reveals that more than 30% of Indonesian children start smoking before the age of 10. That number reached 20 million children. (Kurniawati 2019). This fantastic number is based on data on the number of Indonesian children aged 0-14 years based on the 2010 census, which exceeded 67 million people. (Ministry of Health Republic of Indonesia Health Bulletin 2014) General objective of the research, "Knowledge of factors related to the incidence of child smoking in RT 08 RW 04 Selayar village, Banta Banteng Village, Rapocini District, Makassar City. 2019. This type of research is analytic with a cross sectional approach, research variables are socioeconomic status, parent models, peers. The research was conducted from July to October 2019, located RT 8 RW 4 Selayar Village, Banta-Banteng Village, Rapocini District, Makassar City 2019. The population was 53 people, the sample obtained was 37 people. The results of the study showed that there was a relationship between socioeconomic status and child smokers, parent models and child smokers and peers with the incidence of child smokers. To overcome this problem, it is recommended that parents always try and commit to slowly quit smoking and gradually reduce smoking gradually. ABSTRAKSehat dalam Undang Undang Kesehatan No.36 Tahun 2009 Bab 1 Pasal 1 menyebutkan bahwa kesehatan adalah keadaan sejahtera dari badan, jiwa, dan sosial yang memungkinkan setiap orang hidup produktif secara sosial dan ekonomis. Laporan Pengendalian Tembakau di ASEAN (2019) mengungkapkan lebih 30% anak Indonesia mulai merokok sebelum usia 10 tahun. Jumlah itu mencapai 20 juta anak. (Kurniawati 2019). Jumlah fantastis itu merunut pada data jumlah anak Indonesia usia 0-14 tahun berdasarkan sensus 2010, yang melebihi 67 juta orang. (Depkes RI Buletin Kesehatan 2014) Tujuan umum penelitian, “Diketahuinya factor yang berhubungan dengan kejadian perokok anak di RT 08 RW 04 kampung Selayar Kelurahan Banta Banteng Kecamatan Rapocini Kota Makassar.2019. Jenis penelitian analitik dengan pendekatan cross sectional, variable penelitian status social ekonomi, model orang tua, teman sebaya. Penelitian dilaksanakan Juli s.d Oktober 2019, berlokasi , RT 8 RW 4 Kampung Selayar Kelurahan Banta-Banteng Kecamatan Rapocini Kota Makassar 2019 Populasi berjumlah 53 orang, sampel yang diperoleh 37 orang. Hasil penelitian ada hubungan antara status sosial ekonomi dengan perokok anak, model orang tua dengan perokok anak dan teman sebaya dengan kejadia perokok anak. Untuk mengatasi masalah tersebut disarankan agar orang tua senantiasa berusaha dan berkomitmen untuk secara perlahan berhenti merokok dan secara perlahan mengurangi mengkonsumsi rokok secara bertahap.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.292
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
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.003

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 head0.047
GPT teacher head0.330
Teacher spread0.283 · 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; a candidate call from one teacher head, not a consensus.

Study designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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