PENGARUH BEBAN HIDROLIK MEDIA DALAM MENURUNKAN SENYAWA AMMONIA PADA LIMBAH CAIR RUMAH POTONG AYAM (RPA)
Bibliographic record
Abstract
Limbah rumah potong ayam (RPA) umumnya mengandung zat pencemar seperti Biological Oxygen Deman (BOD), Chemical Oxygen Deman (COD) dan Amonia yang tinggi. Umumnya senyawa pencemar tersebut terbentuk dalam pencernaan lipid. Kandungan ammonia pada limbah rumah potong ayam umumnya melebihi baku mutu yang sudah ditetapkan. Biofilter anaerob merupakan salah satu metode pengolahan limbah cair yang dapat diterapkan untuk mengolah air limbah RPA. Tujuan yang ingin dicapai adalah mengkaji kemampuan beban hidrolik media dalam menurunkan senyawa amonia pada air limbah RPA. Beban hidrolik media yang digunakan terdiri dari tiga variasi yaitu diantaranya 0,006 m3/m2media.hari, 0,009 m3/m2media.hari dan 0,015 m3/m2media.hari. Media yang digunakan dalam penelitian ini yaitu media karbon aktif untuk menurunkan beban pencemar ammonia pada air limbah RPA dengan sistem biofilter anaerob tercelup aliran upflow. Reaktor yang digunakan dalam percobaan ini adalah terdiri dari 3 reaktor dengan ukuran berbeda-beda. Efisiensi penyisihan kandungan amonia disimpulkan bahwa penerapan beban hidrolik media 0,006 m3/m2media.hari mampu menyisihkan senyawa ammonia lebih dari 95%.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".