ASI EKSKLUSIF MENINGKATKAN PERKEMBANGAN BAYI USIA 6-12 BULAN DI WILAYAH KERJA PUSKESMAS BANYU URIP SURABAYA
Bibliographic record
Abstract
Exclusive Breast Milk Enhances The Development Of Infants Aged 6-12 Months in Region of Puskesmas Banyu Urip Surabaya. Exclusive breastfeedingis only giving breast without other suplemntal food to babies aged 6-12 months. However in factmost mothers do not give breast milk to their childrenby reason of busywork. The purpose of this study to analyzethe relationship between Exclusive Breast Milk enhances the development of infants aged 6-12 months in region of Puskesmas Banyu Urip Surabaya. The type of this research wasanalytic done using by cross sectional design. The population involved themothers having children aged 6-12 monthsand thei rchildren totally 28 respondents, the sample size was 26 respondents taken by using simple random sampling. The data collection using question naires and observation of DDST form. The data processing includes editing, coding, data entry, cleaning, and tabulating. The data were analyzed using the Mann-Whitney statistical testwith asignifican cevalue α=0,05. Statistical analysis with the Mann-Whitney was got r=0,000<α=0,05, whichmeans that H0 isrejectedso that there isa correlation between exclusive breastfeeding . With the Mann-Whitney was got r=0,002<α=0,05, whichmeans thatH0 isrejected so tha tthere isa correlation between exclusive breastfeeding and the development of children aged 6-12 months in East Java. The conclusions of this research is exclusive breastfeeding is adequate and the developmentof the child within the normal rangesaccording to age. Expectedmothersto breast feed exclusively thoughthe motherwas busyworking, andalwayspay attention totheir children's growth. So as to createa great newgeneration.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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 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".