Aplikasi Probiotik Herbal dalam Pakan pada Benih Ikan Lele Sangkuriang (Clarias gariepinus Burchell,1822)
Bibliographic record
Abstract
Penelitian ini bertujuan untuk menganalisis pengaruh pemberian Probiotik herbal dalam pakan pada ikan lele (Clarias gariepinus). Penelitian ini dilakukan di UPR Mina Mandiri, Kecamatan Beutong Kabupaten Nagan Raya mulai April sampai Mei 2022. Penelitian ini menggunakan Rancangan Acak Lengkap (RAL) dengan 5 taraf perlakuan dan 3 kali ulangan yaitu: 15, 20, 25, 30 dan 35 ml/kg pakan. Hasil uji ANOVA menunjukkan aplikasi probiotik berpengaruh nyata terhadap pertumbuhan (P<0,05) dan tidak berpengaruh nyata pada kelangsungan hidup. Uji lanjut Duncan terlihat berbeda nyata antar perlakuan pada parameter pertumbuhan ikan, namun tidak berbeda pada perameter kelangsungan hidup. Nilai tertinggi dijumpai pada perlakuan 30 ml/kg pakan yang menghasilkan pertumbuhan berat mutlak 11,62 gr, panjang mutlak 5,24 cm dengan tingkat kelangsungan hidup 72 %.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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 teacher head, 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".