Penentuan Aktivitas Antioksidan dari Tiga Jenis Simplisia Jahe (Gajah, Emprit, Merah) untuk Pengobatan Tradisional Chinese Medicine (TCM)
Bibliographic record
Abstract
Jahe merupakan tanaman yang banyak dibudidayakan di Indonesia. Rimpang jahe diketahui mempunyai banyak khasiatnya terhadap kesehatan. Jahe sering dijumpai dalam racikan pengobatan Traditional Chinese Medicine (TCM). Hal ini ada kaitannya dengan kandungan antioksidan pada jahe. Tujuan Penelitian ini bertujuan untuk menentukan aktivitas antioksidan pada simplisia tiga jenis simplisia jahe (gajah, emprit, merah). Metode Tiga jahe diberikan perlakuan yaitu sortasi basah dan kering, pembuatan simplisia, karakterisasi simplisia, uji aktivitas antioksidan menggunakan metode 2,2-Diphenyl-1-picrylhydrazyl (DPPH). Hasil rendemen simplisia tiga jahe (gajah 19,00%, emprit 15,26%, merah 12,61%), pengujian kadar air simplisia dari tiga jahe (gajah 7,315 %, emprit 7,439%, merah 8,576 %) selanjutnya pada penentuan uji aktivitas antioksidan jahe gajah 77,03%, jahe emprit 61,91%, jahe merah 67,94%. aktivitas Aktivitas antioksidan dari ketiga jahe dengan metode DPPH menunjukkan nilai inhibitory concentration (IC50 ) mempunyai kategori kuat yaitu ada diantara 50-100 µg/ml.
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".