Pengaruh Konsumsi Ekstrak Daun Katuk Terhadap Kecukupan ASI Pada Ibu Menyusui Di Klaten
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract: Sauropus Androgynus, Breast Milk. Mother breat Milk is good nutrition for baby. Mother breast Milk important for growing baby. To increasing mother breast milk very good consumption food this like : leaf Katu (Sauropus androgynous), leaf Ubi jalar (Ipomoea batatas), leaf kelor (Moringa oleifera), fried corn at all, Composition of leaf katuk is proteins, fats, calcium, phosphor, iron, vitamins A, B, and C. pyrrolidinone, metil pyroglutamate and p-dodesilfenol component minor. Goal research to known relationship consumption leaf katuk with breast milk sufficient, at midwife practice Independent (BPM) on Klaten area. Methods: Pre-Posts with Control Group Design. In the research researcher measure influence intervention at an eksperiment group with comparing group control. Research worked at midwife practice Independent at the January as to Juli 2015. Population in the research is all of the mother breastfeeding at midwife practice Independent (BPM) on Klaten district. Sampling methods is quota sampling with inclusive criterion normally newborn and healthy. Research at January-July 2015. Data analysis performed to describe the variable that will be studied and performed bivariate analyze to the relationship of independent and dependent variable s using the chi-square. Results research is 70 % intervention group more produced milk than control group produced milk enough 30%. Result in statistik Analice chi-square p-value =0,002.Conclusion there was significant relationship consumption extract katuk for sufficient breast milk.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it