Upaya Promotif Petugas Kesehatan dalam Pelaksanaan Posyandu Lansia di Puskesmas Mangli Kabupaten Jember
Bibliographic record
Abstract
One of the health programs which is implemented for the elderly in Indonesia is Elderly Posyandu. Elderly Posyandu emphasizes health services on promotive and preventive efforts. The Health Officer is any person who devotes himself / herself to the health sector as well as has knowledge and or skills through education in the field of health which for a certain type requires authority to do health efforts. The role of Health Officers of Elderly Posyandu is very important to realize the optimum promotive and preventive efforts in the implementation of posyandu elderly. This study aims to analyze the role of health officers in carrying out promotive efforts at elderly posyandu of Mangli Public Health Centre Jember by using qualitative method with case study design.There are 2 main informants in this research, health officer and 2 additional informants of elderly from elderly posyandu in working area of Mangli Public Health are chosen by purposive technique. The data are collected through indepth interview with main informant then verified data with triangulation of source by matching result of interview with additional informant and triangulation technique by doing observation. The results showed that the role of health officers in the implementation of promotive efforts is still less optimum.Keywords: Elderly Posyandu, Health Officer, Promotive
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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 itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
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".