Characteristic Of Environmental Sanitation in Family With Stunting Children Under Five Years Of Age
Bibliographic record
Abstract
Attention to malnutrition has increased in recent decades, one of which is stunting. The nutritional problem that is currently being highlighted in the world is stunting where there are around 161 million children experiencing stunting. Stunting is a measure of short height compared to age. Factors causing stunting consist of direct and indirect causes, one of which is from the aspect of environmental sanitation, namely access to clean water, sanitation and hygiene. This study aims to provide an overview of the characteristics of environmental sanitation in families with stunting children under five years of age in the Klatak and Wonosobo Public Health Centers, Banyuwangi. This research is a descriptive study and a case series design. The research subjects used were 60 stunting toddlers with proportional random sampling as the sampling technique. The variables in this study were environmental sanitation, which consisted of access to clean water, ownership of clean water facilities, ownership of bathrooms, ownership of latrines, and ownership of cattle pens. The research instrument used a questionnaire to measure the characteristics of respondents and environmental sanitation conditions, interview guidelines, observation sheets, KIA books, and weighing month reports. The data was processed using descriptive analysis. The results depicted in this study are that most of the research subjects live in families that have access to clean water, have bathrooms and latrines, but also in families who have cattle pens close to the main house. Monitoring of ownership, use, and maintenance of access to clean water, latrines, bathrooms, and livestock cages in the home environment must be carried out properly so that it can become one of the strategies in preventing stunting under five. Prevention of contamination of water, soil, and air quality is one of the ways in preventing stunting in toddlers so that toddlers can develop optimally according to their age and growth period.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".