BIOKONVERSI LIMBAH PABRIK TEH DALAM MENINGKATKAN PENDAPATAN USAHA PRODUKSI PUPUK ORGANIK PADA PT. MADINA ANEKA SUBUR
Bibliographic record
Abstract
Proses pembuatan pupuk organik oleh PT Madina Aneka Subur memanfaatkan limbah pabrik teh berupa ampas sebagai bahan baku pupuk organik. Limbah ampas teh merupakan bahan organik dan memiliki berbagai macam kandungan. Masih awamnya pemahaman mengenai Maggot yang meliputi manfaat dan cara budidaya Maggot sehingga jarang yang memanfaatkan Maggot sebagai pengurai bahan organik. Pelatihan dan pendampingan ini bertujuan untuk meningkatkan pemahaman PT Madina Aneka Subur dalam mengelola limbah pabrik teh dalam meningkatkan pendapatan usaha produksi pupuk. Metode pelaksanaan pelatihan dilakukan dengan cara ceramah serta diskusi, sedanngkan pendampingan dilakukan dengan cara praktek di lokasi PT Madina Aneka Subur. Hasil kegiatan menjunukkan semangat dan antusias dari PT Madina Aneka Subur yang ingin memahami lebih lanjut proses pengolahan dengan memanfaatkan Maggot. Hal ini ditunjukkan pada saat kegiatan lanjutan berupa pendampingan budidaya Maggot. Kegiatan pelatihan dan pendampingan biokonversi limbah pabrik teh dengan memanfaatkan maggot berlangsung lancar dan sukses serta pemahaman peserta dari PT Madina Aneka Subur meningkat terkait pengolahan limbah pabrik teh dengan budidaya Maggot
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.009 |
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".