Analysis of Organic Waste Decomposition and Quality of Organic Fertilizer Using Earth Worms and Black Soldier Fly (BSF)
Bibliographic record
Abstract
Organic waste for organic fertilizer is needed to increase soil fertility.This study aims to analyses the organic waste decomposition and the quality of organic fertilizer using earth worms and Black Soldier Fly (BSF) produced by Anyar Sari Market.The research used was a simple randomized block design with 9 treatments, namely P0, P1, P3, P4, P5, P6, P7, and P8 which repeated 3 times.Samples that have been weighted were put into the place of manufacture of organic fertilizer mixed evenly with cow manure and chicken manure according to the treatment.Earthworms and BSF larvae were stocked according to treatment after the media was 14 days old with 50% humidity.The parameters were the characteristics of organic fertilizers, levels of odor and structure of organic fertilizers, water content of organic fertilizers, percentage of weathering, and pH of organic fertilizers.The treatments had significant effect on observed parameters.The decomposition rate of P4 treatment increased by 67.66% compared to P0 which was only 27.67%.The suggestion was to use earthworms and BSF larvae by to accelerate the decomposition of the organic waste and to improve the quality of organic fertilizer.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".