FAKTOR – FAKTOR YANG BERHUBUNGAN DENGAN PELAKSANAAN INISIASI MENYUSUI DINI (IMD) DI PUSKESMAS BUTAR KECAMATAN PAGARAN KABUPATEN TAPANULI UTARA TAHUN 2020
Bibliographic record
Abstract
Early Initiation of Breastfeeding (IMD) is an opportunity given to babies immediately after birth by placing the baby on the mother's stomach, then the baby is allowed to find the mother's nipple and breastfeed within the first hour after birth. The UNICEF organization Says that IMD is so important for babies that it calls it the baby's first vaccine. The purpose of this study was to determine the factors related to the implementation of Early Breastfeeding Initiation (IMD) at Butar Puskesmas, Pagaran District, Tapanulu Utara Regency in 2020. This type of research is a descriptive quantitative study using a cross sectional design or approach looking at the relationship between the independent and dependent variables. The total population of 30 people was used with a total sampling technique in which the entire population was sampled so that the sample size was 30 people. Data were collected by means of a questionnaire, then the data were processed using the chi-square test. The results of the study using the chi-square test with a confidence level of 95% (α = 0.05) showed that there was no relationship between the type of labor and the results of the Fisher's Exact Test with a confidence level of 95% and df = 1 obtained x2 count (0.597) x2 table 5,991, there is a relationship between husband's support for Fisher's Exact Test with a confidence level of 95% (α = 0.05) and df = 1 obtained p value = 0.000 ( p <0.05), there is a relationship between support for health workers and df = 2, it is obtained x2 count (8,450)> n x2 table (5,991). It is expected that respondents will know the information provided by health workers or from the mass media about the provision and implementation of Early Breastfeeding Initiation (IMD).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.004 |
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".