Analisis Pencemaran Biologis Perairan Pantai Wisata Holtekamp Berdasarkan Kepadatan Bakteri Coliform
Bibliographic record
Abstract
Holtekamp Sea is located in Youtefa Bay, directly connected to the Acai River, which carries waste from land-based activities such as bathing, washing, toilet, livestock farming, ponds, and agriculture. This will affect the bacteriological quality of the Holtekamp Coastal Waters. This study was conducted to analyze the quality of coliform bacteria density a an indicator of biological pollution in the waters of Holtekamp Beach Seawater sample were collected in April 2023. Bacteriological analysis was performed at Papua Regional Health Laboratory using the Most probable number (MPN) method. The research result show that the Nitrate range at stations I to III is 1.70, exceeding the water quality standard of 0.008 according to Decree of Minister of Environment No. 51 of 2004. Furthermore, coliform at stations I to III, it is more than equal to 1898 MPN/100 mL. Meanwhile, the total density of fecal coliform bacteria at stations I and II is 20 MPN/100 mL, and station III is 9 MPN/100 mL. According to Decree of the Minister of Environment No. 51 of 2004, the presence of coliform bacteria in the waters of Holtekamp Beach has exceeded the water quality standard. Thus, the total concentration of nitrate and coliform bacteria density indicates poor water quality or contamination
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".