Penentuan Suhu Optimum Terhadap Jumlah Bakteri Asam Laktat dan Aktivitas Antioksidan dari Asinan rebung Bambu Betung (Dendrocalamus asper)
Bibliographic record
Abstract
Asinan rebung bambu betung (Dendrocalamus asper) adalah produk yang difermentasi secara tradisional dan berpotensi sebagai sumber probiotik. Dimana asinan rebung mengandung mikroorganisme baik yaitu BAL yang merupakan bakteri yang berkontribusi di bidang pangan untuk fermentasi yang alami. Fermentasi rebung menghasilkan senyawa antioksidan dengan rentang suhu yang optimum. Penelitian bertujuan supaya memahami suhu optimum dari jumlah BAL dan aktivitas antioksidan pada asinan rebung bambu betung. Penelitian ini bersifat eksperimen laboratorium dengan 3 perlakuan yaitu 100 gram rebung dilakukan fermentasi asinan rebung dengan suhu 15℃ (K1), suhu 37℃ (K2), dan suhu 40℃ (K3). Ketiga perlakuan diinkubasi selama 72 jam dengan 4x pengulangan. Tahapan penelitian meliputi pengolahan asinan rebung, isolasi bakteri menggunakan metode pengenceran-tuang (dilution series- pourplate), dan uji antioksidan dengan metode DPPH. Jumlah BAL dihitung dengan Quebec Colony Counter. Analisis data menggunakan Anova dan uji Duncan. Hasil yang didapatkan diantaranya Suhu berpengaruh terhadap jumlah BAL asinan rebung dengan nilai p=0.016. Jumlah BAL pada suhu 150C 59.50, suhu 37 129.74, dan suhu 40 107.57. Suhu juga berpengaruh terhadap aktivitas antioksidan. Nilai ratarata pada suhu 15,37, 40℃ yaitu 30,60%, 25,241% dan 16.8782% (%inhibisi), 36.3655, 41.6775, 51.0757 (IC50). Suhu optimum jumlah BAL asinan rebung adalah suhu 37°C dan suhu optimum jumlah antioksidan adalah suhu 15°C.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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; 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".