Pengaruh Peran Kader pada Pijat Akupresure terhadap Keberhasilan ASI Eksklusif
Bibliographic record
Abstract
In order to reduce infant morbidity and mortality, UNICEF and WHO recommend that babies should be given breast milk for at least 6 months and continue until the baby is two years old. Thus mothers can maintain exclusive breastfeeding for 6 months, WHO recommends initiating breastfeeding within the first hour of life. This study aims to see the effect of acupressure massage on milk production. The method used in this study is quasi-experimental design. This research was conducted in the working area of Puskesmas Kebun Kopi Jambi City in January - December 2020. The number of samples in this study were 30 respondents of breastfeeding mothers divided into 2 groups, namely the intervention group and the control group. The results of this study was analyzed using T-test. Based on the research results, the p-value is 0.000 (p <0.05). This shows that there is an effect of acupressure massage performed by cadres on the milk production process. The results showed that the provision of acupressure massage can affect the production of breast milk so that the milk obtained increases and smoothly so that breastfeeding mothers do not have to worry about their ability to breastfeed for up to 6 months. Exclusive breastfeeding for 6 months is highly recommended so that acupressure massage can help mothers in increasing milk production during the breastfeeding process.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.037 | 0.008 |
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".