Determination of water quality status of Way Kuala River, Bandar Lampung City
Bibliographic record
Abstract
Way Kuala River is one of the rivers located in urban areas and utilized by various activities around it. Waste from the activities of the surrounding community that was discharged directly into the river will cause a decrease in river water quality. A decrease in water quality can be indicated by changes in physical, chemical, and biological parameters. The purpose of this research is to analyze water quality conditions and determine the water quality status of Way Kuala River, Bandar Lampung City. This research was conducted in November 2024-January 2025 in Way Kuala River, Bandar Lampung City. Sampling was conducted at 3 stations along the Way Kuala River using a direct survey method. Samples were then analyzed in situ, namely direct analysis in the field and ex situ with analysis at the BSPJI Bandar Lampung Laboratory. The data analysis used is STORET, pollution index (IP), and canadian council of ministers of the environment (CCME WQI). The results showed that the condition of Way Kuala River was categorized as polluted. The water quality status of Way Kuala River with STORET tends to be heavily polluted. The water quality status of Way Kuala River with IP tends to be lightly polluted. The water quality status of Way Kuala River with CCME WQI tends to be less polluted. Keywords: CCME WQI; Pollution Index; STORET; Water Quality Status; Way Kuala River
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How this classification was reachedexpand
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 | 0.008 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".