Quality of River Water in the District Area of Middle of Java
Bibliographic record
Abstract
The decline in river air quality is characterized by a decline in air quality parameters, namely physical, chemical and microbiological parameters. Preliminary studies revealed that the physical and chemical parameters of TSS, BOD were respectively 52 mg/L, 57 mg/L, the test results were not in accordance with Government Regulation no. 22 of 2021 concerning Implementation of Environmental Protection and Management. The aim of this research is to determine the quality of river water based on physical and chemical parameters, namely Total Suspended Solid (TSS), Total Dissolved Solid (TDS), Chemical Oxygen Demand (COD), Biological Oxygen Demand (BOD), Dissolved Oxygen (DO), water potential hydrogen (pH) in Karanganyar Regency. This research method is quantitative descriptive using laboratory tests, with samples from 6 rivers in each sub-watershed. The sampling technique uses Integrated Sampling by carrying out laboratory testing. Data analysis uses air quality measurements using the pollutant index method. The parameters tested are physical parameters, namely TSS, TDS and chemical parameters, namely COD, BOD, DO and pH. The research results show that the TSS parameters exceed the quality standards, TDS corresponds to the quality standards, COD exceeds the quality standards, BOD exceeds the quality standards, DO corresponds to the quality standards, pH does not comply with the quality standards. The conclusions in this research are that the Jlamprang River sub-watershed of Kudus is 1.99 (lightly polluted), the Bagor River is sub-watershed of Jlantah 2.31 (lightly polluted), the Gembong River is sub-watershed of Samin 6.94 (moderately polluted), the Kumpul River is sub-watershed of Mungkung 2 .74 (lightly polluted), Kendat River, Kenatan sub-watershed, 2.67 (lightly polluted), Pepe River, Pepe sub-watershed, 2.14 (lightly polluted). The suggestion for the Karanganyar District Government is to monitor river water quality regularly Keywords: Chemical Oxygen Demand, Biological Oxygen Demand, Dissolved Oxygen.
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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 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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 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".