REMOVAL COD DAN TSS LIMBAH CAIR RUMAH POTONG AYAM MENGGUNAKAN SISTEM BIOFILTER ANAEROB
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Tingginya kandungan zat organik pada limbah cair industri rumah potong ayam (RPA) menyebabkan limbah cair tersebut tidak boleh dibuang langsung ke lingkungan akuatik. Peningkatan kebutuhan protein dari sumber konsumsi daging ayam, menyebabkan peningkatan limbah cair industri RPA. Oleh karena itu diperlukan suatu alternatif penyelesaian untuk menurunkan kandungan beban pencemar pada limbah cair industri RPA agar kualitas effluent yang dihasilkan tidak mencemari lingkungan serta memenuhi baku mutu yang telah ditetapkan. Pada penelitian ini pengolahan limbah cair RPA dilakukan dengan menggunakan sistem biofilter anaerob media bioball, dengan variasi waktu tinggal dan konsentrasi influnt. Sampel pengukuran konsentrasi Chemical Oxygen Demand (COD) influent berturut turut sebesar 734 mg/L, 388 mg/L, dan 248 mg/L. Konsentrasi Total Suspended Solid (TSS) dalam air baku limbah RPA sebesar 88 mg/L, 70 mg/L, dan 54 mg/L. Setelah dilakukan pengolahan mengalami penurunan konsentrasi COD dan TSS terhadap semua variasi konsentrasi. Waktu tinggal yang paling efektif dalam menurunkan kadar COD dan TSS pada limbah cair RPA adalah 7 jam.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it