Hubungan Dukungan Petugas Kesehatan, Dukungan Keluarga dan Pengetahuan Ibu dengan Pemberian ASI Eksklusif
Bibliographic record
Abstract
The Government's efforts to support the increase in exclusive breastfeeding have resulted in agreements or various recognitions, both globally and nationally, which aim to protect, promote, and support breastfeeding. It is hoped that every baby has the right to get exclusive breastfeeding and every mother can give breast milk. This study aims to determine the relationship between health worker support, family support and knowledge with exclusive breastfeeding for infants aged 7-12 months in the Tanjung Baru Health Center Work Area, Ogan Komering Ulu Regency in 2021. The design of this study was an analytical survey using a cross sectional research design. . The population in this study were all mothers who had babies aged 7-12 months in January-July 2021, which were 38 respondents and the number of samples was 38 respondents. The sampling technique used is accidental sampling. Data analysis used chi square statistical test with = 0.05. The results of this study found that there was a relationship between family support (p value = 0.02), support from health workers (p value = 0.01) and knowledge (p value = 0.003) with exclusive breastfeeding. The results of the research can be used as a reference to improve counseling and socialize the exclusive breastfeeding program to the community.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".