Metode AOP – GAC dalam Penanganan Limbah Cair Batik di Kalurahan Wijirejo, Kepanewon Pandak, Kabupaten Bantul Daerah Istimewa Yogyakarta
Bibliographic record
Abstract
Seluruh aspek kehidupan memerlukan air bersih untuk memenuhi kebutuhan sehari-hari. Salah satu daerah di Kalurahan Wijirejo, Kepanewon Pandak, Kabupaten Bantul, Daerah Istimewa Yogyakarta menjadi sentra batik dengan skala rumah tangga di DIY. Kegiatan pengolahan batik akan menghasilkan limbah yang berasal dari proses pewarnaan dan pelorodan. Penelitian ini bertujuan untuk mengetahui kemampuan metode Advanced Oxidation Processes (AOP) – Granular Activated Carbon (GAC) untuk mendegradasi parameter BOD5 , COD, dan Fenol. Hasil penelitian dengan metode AOP –GAC yaitu injeksi ozon dengan larutan H2O2 (50%) sebanyak 1,5 ml dalam 1 liter limbah selama 30 menit merupakan waktu efektif. Penggunaan karbon aktif yang efektif yaitu sebanyak 6 gram dalam 1 liter limbah menghasilkan efisiensi yang dapat menurunkan 98,5% pada parameter BOD5 , COD sebanyak 98,6 %, dan Fenol sebanyak 99,5 %. Hasil penelitian menyimpulkan bahwa AOP - GAC efektif untuk menurunkan parameter BOD5 , COD, dan Fenol pada limbah Batik.Kata Kunci: Industri Batik; Limbah Cair; AOP – GAC; IPAL; Ozonisasi; Adsorpsi
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".