Pengaruh Pemberian Jus Alpukat Terhadap Tekanan Darah Penderita Hipertensi Di Batoh Wilayah Kerja Puskesmas Lueng Bata Kota Banda Aceh
Bibliographic record
Abstract
Hipertensi merupakan faktor resiko utama dari perkembangan (penyebab) penyakit jantung dan stroke. Tekanan darah diastolik adalah tekanan darah pada saat jantung mengembang dan menyedot darah kembali. Prevalensi hipertensi secara nasional sebesar 31,7%, di Aceh prevalensi hipertensi mencapai 9,2%, di kota Banda Aceh prevalensi hipertensi mencapai 33,1%. Tujuan penelitian mengetahui pengaruh Pemberian Jus Alpukat Terhadap Tekanan Darah Di Desa Batoh. Penelitian bersifat deskriptif analitik, dengan rancangan quasi eksperimental, sampel dalam penelitian penderita hipertensi berjumlah 20 orang secara metode purposive sampling. Uji statistik digunakan yaitu T-Test Dependen pada CI:95%. Hasil penelitian bahwa rerata tekanan darah sampel sebelum pemberian jus alpukat adalah 95,75 mmHg dan Rata-rata tekanan darah sesudah pemberian jus alpukat adalah 83,25. Terdapat selisih penurunan tekanan darah 12,5 mmHg. Terdapat pengaruh yang signifikan pemberian jus Alpukat terhadap penurunan tekanan darah, P =0,000 (P≤0,05). Kesimpulan yaitu pemberian tritmen jus alpukat berpengaruh terhadap penurunan tekanan darah. Diharapkan kepada masyarakat agar dapat mempertimbangkan untuk mengkonsumsi jus alpukat untuk menurunkan tekanan darah pada penderita hipertensi.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.003 |
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".