Analisis Faktor yang Berhubungan dengan Pemberian MP-ASI di Posyandu Harapan Bunda Dua Desa Tangkit Kecamatan Sungai Gelam
Bibliographic record
Abstract
About 40% of children in the world receive only breast milk, while the remaining 60% receive an integral food source when they are under half a year old. This shows that exclusive breastfeeding is still rarely practiced, while early breastfeeding is still common in a number of countries. MP-ASI is food or drink given to babies aged 6 to 2 years to overcome nutritional problems other than breast milk (ASI). At that time, breast milk production was decreasing so that the current supply of breast milk supplements could not meet the increasing nutritional needs of children, so giving it as a complementary food was highly recommended. MP-ASI is additional nutrition for babies, this food must be a supplement and have options to overcome children's problems. This examination is a logical review using a cross-sectional methodology where we only look at examples and at the same time identify elements related to giving MP-ASI. ASI at Posyandu Harapan Bunda Dua, Tangkit City, Sungai Gelam Region in October 2022. The population is 30 respondents with an all out examination of 30 respondents. Chi-square was used in data analysis. 19 respondents (63.4%) had higher education, 24 respondents (80%) did not work, and the same number of respondents had husbands who were supportive or not, 15 respondents (50%) gave MP-ASI to 21 respondents (70%) . There is a relationship between schools, businesses and partner assistance with the provision of MP-ASI at Posyandu Harapan Bunda Dua, Tangkit Sungai Gelam Local City. The conclusion obtained in this examination is that there is a relationship between training, work and partner assistance with the implementation of MP-ASI at Posyandu Harapan Bunda Dua, Tangkit City, Sungai Gelam Region.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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, unvalidatedMachine predicted; a candidate call from one teacher head, 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".