Hubungan Pekerjaan Ibu, Inisiasi Menyusu Dini (IMD) dan Dukungan Keluarga dengan Pemberian ASI Eksklusif di Wilayah Kerja Puskesmas Punti Kayu Palembang Tahun 2022
Bibliographic record
Abstract
Exclusive Breastfeeding is essential for the survival of the baby. Because breast milk contains natural proteins found in the body (Growth factor) and antibody substances. Growth factors in breast milk have an important role in helping the maturation process of organs and hormones, while antibody substances help the maturation process of the immune system. Since the process of maturation of the system in newborns is rudimentary. To find out the relationship between mothers' work, Early Breastfeeding Initiation (IMD) and partial family support with exclusive breastfeeding in the Work area of the Punti Kayu Health Center, Palembang City in 2022. This study uses a type of analytical survey research where independent variables and dependent variables are collected at the same time. With a Cross sectional approach, which aims to find out the Indepedent variables, namely maternal work, IMD and family support and dependent variables for exclusive breastfeeding success. The sample was taken according to the inclusion criteria of 42 respondents using the accidental sampling method. Data analysis using univariate, bivariate analysis, namely the chi-square test. Based on the results of the chi-square statistical test, it can be concluded that there is a relationship between the mother's work obtained a p-value of 0.154, Early Breastfeeding Initiation (IMD) with a p-value of 0.002, and family support with a p-value of 0.002. There is a meaningful relationship between mother's work, IMD and family support simultaneously with exclusive breastfeeding at the Punti Kayu Palembang Health Center in 2022.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| 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, 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".