STUDI OZONISASI SENYAWA ORGANIK AIR LINDI TEMPAT PEMROSESAN AKHIR SARIMUKTI
Bibliographic record
Abstract
Existing treatment leachate from Sarimukti Landfill doesn’t meet the quality standards of waste water.Preliminary treatment is necessary to break down persistent leachate compounds. Ozone can act directly orindirectly with organic material (Glaze 1986). Column batch reactor system use one liter volume. Ozone ispumped into the leachate in the form of fine bubbles. Variations include Ozone Pumping Flow, Ratio ofhigh/diameter (t/d), and pH. Kinetic Reaction of oxygen dissolution in the average leachate is zero order.Increased pumping air discharge and increased pH makes ozone transfer process better. Best value occurs at pH11, where the value of the reaction rate constant ozone 1.48. The average percentage of organic materialallowance 31% COD and 26% TOC. The decline TOC and COD have a tendency to be influenced by the pHoptimum 8-9. At alkaline pH makes carbonate (CO3) formed the greater, that make ozone compounds killquickly. FTIR results showed the intensity of hydroxyl groups increased after ozone oxidation where thesubstitution of functional groups of organic matter associated with electrophilic addition reaction of oxygenatoms. Existence Fulfic acid also increased the effect compounds and Humic Acid, Humad large has been cut byradicals.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".