The Use of Moringa Seed (Moringa oleifera) Extract as a Natural Coagulant to Reduce the Turbidity Level of Worongnge Village River Water
Bibliographic record
Abstract
The quality of the water used by the community in Worongnge Village is poor water quality, therefore alternative solutions are needed to treat water so that the water is suitable for use.One process that can be used is the coagulation-flocculation process with Moringa seeds.The purpose of this study was to determine the concentration of Moringa seeds can stabilize the quality of water pH, TDS, and turbidity (turbidity) of river water in Worongnge Village.This research was conducted in the form of an experiment consisting of 5 treatments and each treatment used 1 liter of river water and each would be given 3 variations of time: (12 hours, 24 hours, 36 hours).The design is as follows: P0: 1 liter of river water without treatment P1: Provision of 1 liter of river water and 2 g of Moringa seed extract.P2: Giving 1 liter of river water and 4 grams of Moringa seed extract.P3: Giving 1 liter of river water and 6 grams of Moringa seed extract.P4: Giving 1 liter of river water and 8 grams of Moringa seed extract.The results of the research carried out found that the effective concentration of Moringa seed extract was 2gr(P1) where the results were water pH 7.2, water TDS 0.191, and turbidity (turbidity) 46.The use of Moringa oleifera seed extract as a natural coagulant is effective in reducing the turbidity of river water.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".