Analisa faktor-faktor yang berhubungan dengan pemberian ASI eksklusif Di wilayah kerja Puskesmas Prabumulih Timur Kota Prabumulih Tahun 2021
Bibliographic record
Abstract
Exclusive breastfeeding is given to infants aged 0-6 months, because the best nutrition for babies is only obtained through breast milk (WHO, 2020). According to data from the World Health Organization (WHO) worldwide exclusive breastfeeding coverage is only around 44 percent during the 2015-2020 period. Based on data from the 2019 Indonesian health profile, it is stated that the percentage of exclusive breastfeeding coverage in Indonesia for infants 0-6 months is 67.74 percent. Exclusive breastfeeding coverage in Prabumulih City in 2019 was 65.8 percent. The results of a preliminary study at the Prabumulih Timur Health Center covered only 43.1 percent of exclusive breastfeeding. The results showed that from 78 respondents. It was found that those who gave exclusive breastfeeding were 38 (48.7%) and those who did not gave exclusive breastfeeding were 40 (51.3%), low level of education 44 (56.4%) and higher education 34 (43.6%). working mothers 44 (56.4%) and mothers who did not work 34 (43.6%), low parity 30 (38.5%) and high parity 48 (61.5%), normal delivery 59 (75.6% ) and CS 19 delivery (24.4%). chi-square results 4 (four) significant variables with p-value <0.05, namely education level variable p-value = 0.013, OR = 0.280 (95% CI = 0.109-0.714), employment status p-value = 0.002 , OR = 0.193 (95% CI = 0.073-0.514), parity with p-value = 0.023, OR = 3.333 (95% CI = 1.279-8.688), delivery process with p-value = 0.012, OR = 5.100 (95% CI= 1,509-17,237). The conclusion in this study is that there is a relationship between parity and the process of giving birth simultaneously with exclusive breastfeeding in the working area of the Prabumulih Timur Health Center, Prabumulih City in 2021. It is recommended that the community give exclusive breastfeeding to their babies in order to prevent infant morbidity.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".