PENGETAHUAN, SIKAP DAN PERILAKU PENCEGAHAN COVID-19 PADA REMAJA SEBAGAI UPAYA MEMUTUS RANTAI PENYEBARAN COVID 19 DI KABUPATEN CIANJUR
Bibliographic record
Abstract
Background: COVID-19 is transmitted through human-to-human transmission through droplets, direct contact and has an incubation period of 2-14 days. The lack of effective preventive measures to flatten the curve of COVID-19 cases can be seen from the lack of discipline of the community towards the protocol set by the government. The implementation of preventive measures is mostly caused by behavioral problems that are often determined by knowledge and attitudes, especially to prevent transmission to the school cluster. The method used in this study is cross-sectional a web-based and data collection using the online platform Google Form. The population in this study were adolescents grade VIII SMP Negeri 1 Cugenang, Cianjur Regency. Sampling was done by using a stratified random sampling technique which obtained 34 respondents. Correlation test using Square-Test. The measuring instrument used was a questionnaire to measure knowledge, attitudes, gender, place of residence, and COVID-19 prevention behavior. The results of this study indicate that the factors associated with COVID-19 prevention behavior are the factors of knowledge (p = 0.002), attitude (p = 0.022), and place of residence (p = 0.007). This study suggests providing education as a long-term strategy to increase knowledge and reduce negative attitudes towards COVID-19, especially among adolescents. Use of social media and electronic media as a means of health education
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.027 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".