Isolasi Dan Identifikasi Molekuler Bakteri Penghasil Amilase Pada Produk Fermentasi Kentang Yukon Gold (Solanum Tuberosum L.) Berbasis GEN 16S RNA
Bibliographic record
Abstract
Kebutuhan amilase dan tingginya daya produksi enzim membuat pencarian sumber-sumber amilase yang baru sangat diperlukan salah satunya melalui proses fermentasi Kentang Yukon Gold (Solanum tuberosum, L.) yang mengandung 18,4 g karbohidrat selama 3 hari. Penelitian ini bertujuan untuk mengisolasi bakteri penghasil enzim amilase yang berasal dari produk fermentasi kentang Yukon Gold. Uji penghasilan enzim amilase dilakukan pada media selektif Starch Agar (SA) Uji enzimatik isolat bakteri didapatkan 4 isolat. Proses identifikasi molekuler dilakukan melalui analisis sekuen gen 16S rRNA bakteri yang telah diamplifikasi berdasarkan metode PCR. DNA hasil dari amplifikasi kemudian di sekuensing menggunakan BLAST (Basic Local Aligment Searc Tool), isolate FST-1 merupakan isolat yang memiliki ideks amilolitiki terbesar dengan nilai 2,63. Hasil identifikasi isolate FST-1 didaptkan kemiripan 100% dengan bakteri Pseudomonas sutzeri sehingga isolate FST-1 diberi nama Pseudomonas sutzeri FST-1 (Fermented SolanumTuberosum-1). Kesimpulanya, strain FST-1 merupakan bakteri penghasil amilase yang potensial dan teridentifikasi sebagai Pseudomonas sutzeri srain FST-1.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".