Perbedaan Efektivitas Antara Pemberian Jus Tomat dengan Jus Jambu Biji Merah terhadap Kadar Hemoglobin pada Ibu Hamil Trimester III di Puskesmas Hilir
Bibliographic record
Abstract
Latar Belakang : Anemia adalah suatu keadaan di mana kadar hemoglobin dalam darah di bawah normal. Sebagian besar anemia adalah anemia defisiensi zat besi (Fe) yang dapat disebabkan oleh konsumsi zat besi yang kurang dari makanan.Tomat dan jambu biji merupakan buah yang mengandung vitamin C dan zat besi tinggi yang bermanfaat jika dikonsumsi ibu hamil. Tujuan : Penelitian ini bertujuan untuk mengetahui efektivitas pemberian jus tomat dan jus jambu biji merah terhadap kadar hemoglobin pada ibu hamil trimester III. Metode : Penelitian kuantitatif dengan metode quasy experimental two group pre-post test design. Sampel sebanyak 32 responden dengan teknik non probalility sampling. Analisis data menggunakan uji Independent-T Test. Hasil : Terdapat perbedaan efektivitas antara pemberian jus tomat dan jus jambu biji merah terhadap kadar hemoglobin ibu hamil trimester III. Uji Independent-T Test menunjukkan p-value 0,000 (<0,05) dengan nilai rerata kelompok jus tomat sebelum dan sesudah intervensi sebesar 1,10 sedangkan kelompok jus jambu biji merah juga menunjukkan peningkatan rerata kadar hemoglobin ibu hamil sebelum dan sesudah intervensi sebesar 1,86. Kesimpulan : Peningkatan kadar hemoglobin pada ibu hamil trimester III dengan pemberian jus jambu biji merah lebih efektif dibandingkan dengan pemberian jus tomat
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".