UJI COBA PENGOLAHAN AIR WADUK MENJADI AIR MINUM DENGAN METODA KOAGULASI FILTRASI, DAN KLORINASI
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
Human needs water to meet the main needs for drinking water. In some areas in Indonesia, especially Dusun Karangwungu, Gresik shortage of water still frequently happens. The absence of water treatment in the reservoir exists in the area prompted me to conduct a research on physical, chemical, and microbiology of the water to be processed as drinking water. This is a descriptive typed study and data were collected through the use of secondary data, laboratory examinations, and observations. After sampling, the sample was then given the treatment of coagulation, fitasion and chlorination. Laboratory results were then compared with Minister Regulation No. 492 of 2010. The objective of this study was to proceed the reservoir water into drinking water in accordance with the Minister of Health Regulation number 492 year 2010 on Drinking Water Quality. The results of the study showed reduction in 19 test parameters in accordance with Permenkes 492/2010. The results showed that the reservoir water can be used as raw material for drinking water by coagulation, filtration, and chlorination. To society is expected to use reservoir water into drinking water to meet the needs. Further research for additional parameters in accordance with the Health Minister Regulation 492/2010 and Breakpoint chlorination and Chlor absorbance Power in chlorination process can be carried out. Keywords : coagulation, filtration, chlorination of drinking water
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 | 0.001 |
| 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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it