DETERMINAN PERILAKU TERHADAP PENGGUNAAN ANTIBIOTIK PADA BALITA DI WILAYAH KERJA PUSKESMAS KUBU II KARANGASEM
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction: Antibiotics are recognized as crucial therapeutic compounds in the prevention and management of infections, especially in the pediatric population. In Indonesia, infectious diseases persist as the leading contributors to both morbidity and mortality in children under five, triggering an urgent need for quick and efficient medical interventions. In clinical practice, antibiotics are often chosen as the primary response by parents and medical personnel due to their perceived instant effectiveness. However, the use of antibiotics without proper scientific and policy considerations have the capacity to induce enduring negative consequences, affecting not only individuals but also reverberating across global scale. Objective: This research’s objective is to elaborate the influence of occupation, knowledge, education level, gender, age, and perception on the behavior of Antibiotic use behavior in toddlers at Public Health Center whose working areas are in Kubu II. Method: This study used a cross-sectional quantitative study method. This study has a population of parents of toddlers aged 0 to 59 months in Tianyar Tengah Village whose working area is in Kubu II, totaling 186 participants. Results: This research reveals that some predictors such as occupation, educational attainment, knowledge, and perception play a crucial role in shaping antibiotic usage patterns among children under five. While gender and age did unsignificantly affected. The educational level emerges as the most significant predictor influencing antibiotic usage patterns in children under five. Conclusion: Education level was the most influential predictor of antibiotic use in under-fives.
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.
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 | 0.023 | 0.032 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.003 | 0.014 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 it