THE ROLE OF PUSKESMAS IN THE IMPLEMENTATION OF PHBS AT SLB ALPA KUMARA WARDANA II
Bibliographic record
Abstract
Puskesmas as a health service facility, organized public health effort and individuals in the first level. As a first-rate health facility, puskesmas are responsible for health in their working area. School is one of the institutions that become the responsibility of puskesmas. Health efforts in schools are realized through the development of health promotion. The development of school health promotion is implemented through a health program, UKS. UKS targets are all schools which means not only public schools but also specials schools (SLB) are included. Children with special needs is one of the human resources whose quality must be improved. Such quality improvement can be done through basic behavioral cultivation, including health behavior. PHBS in school is an absolute necessity. This can be said because the various diseases that often attack school-age children associated with PHBS. SLB Alpa Kumara Wardana II is one of the target schools of Puskesmas Pucang Sewu so that the implementation of PHBS from the school is also the responsibility of Puskesmas Pucang Sewu. This study aims to analyze the role of puskesmas in the implementation of PHBS in schools at SLB based on Ottawa Charter. The method used in this research is qualitative with the determination of informants using purposive sampling technique. The results obtained from this research is the role of puskesmas in the implementation of PHBS in schools at SLB Alpa Kumara Wardana II is still less than optimal in the implementation of PHBS in schools. Implementation of PHBS in SLB is still need to improved application from the aspect of build healthy public policy, create supportive environtment, reorient health services, strengthen community action, and develop personal skills.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".