PEMANFAATAN LIMBAH KOTORAN SAPI MENJADI PUPUK ORGANIK DALAM UPAYA PENINGKATAN PEREKONOMIAN GAPOKTAN DESA SAMBIREMBE
Bibliographic record
Abstract
Tujuan riset pengabdian ini adalah memberikan pelatihan dan praktik pembuatan pupuk organik dari limbah kotoran sapi kepada Gapoktan Desa Sambirembe, Kecamatan Kalijambe, Kabupaten Sragen. Pengabdian dilakukan sebagai upaya penunjang perekonomian masyarakat, khususnya anggota Gapoktan di masa pandemi Covid-19. Metode pelaksanaan kegiatan tersebut dilakukan dengan melakukan penyuluhan sebagai tahap awal pemahaman kelompok tani terkait pentingnya pengolahan limbah kotoran sapi yang dapat dimanfaatkan sebagai pupuk. Metode pelaksanaan selanjutnya adalah pembuatan pupuk berupa penaburan stardeck dan dolomit beserta proses lanjutan berupa pembalikan. Hingga pupuk sudah siap, dilakukan branding dan pemasaran. Hasil kegiatan pengabdian masyarakat pada penyuluhan, membuat masyarakat memahami pentingnya pengolahan limbah kotoran sapi untuk diolah menjadi pupuk kadang. Pelaksanaan kegiatan tersebut berlanjut pada pelatihan dan praktik pembuatan pupuk. Serangkaian kegiatan pembuatan pupuk organik dilakukan dengan hasil yang sesuai dengan perencanaan dan pencanangan pengabdian masyarakat, yaitu produk pupuk organik siap pakai dan siap jual untuk menunjang perekonomian kelompok tani di masa pandemi.
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.005 |
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".