Pembuatan Pupuk Kompos dari Kotoran Sapi di Desa Mekar Jaya
Bibliographic record
Abstract
Limbah kotoran sapi sering menjadi masalah yang berdampak pada pencemaran lingkungan termasuk di Desa Mekar Jaya. Kecamatan Kampar Kiri Tengah, Kabupaten Kampar. Pengabdian ini ditujukan untuk memanfaatan limbah kotoran sapi agar mencegah pencemaran lingkungan dan menjadi tambahan ekonomi bagi peternak di Desa Mekar Jaya. Metode pelaksanaan kegiatan dilakukan dengan cara sosialisasi dan praktik langsung di lapangan dalam pengelolaan limbah kotoran sapi. Hasil kegiatan pengabdian masyarakat pada sosialisasi ini menambah wawasan masyarakat akan pentingnya pengolahan limbah kotoran sapi menjadi pupuk agar tidak mencemari lingkungan. Pelaksanaan kegiatan tersebut berlanjut pada praktik pembuatan pupuk kompos kotoran sapi. Proses nerjalannya kegiatan pembuatan pupuk organik dilakukan dengan hasil yang baik dan sesuai dengan yang diharapkan.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.004 |
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".