Pupuk Hayati dan Limbah Jerami untuk Pertanian Berkelanjutan Tanaman Padi
Bibliographic record
Abstract
Buku ini menguraikan proses penjaringan bakteri penambat nitrogen (Azotobacter sp. dan Azospirillum sp.) dari ekosistem lahan sawah, serta hasil penelitian rumah kaca dan lapangan yang melibatkan inokulasi pupuk hayati dan pemberian kompos jerami padi. Hasil penelitian menunjukkan peningkatan kepadatan bakteri penambat nitrogen (N2), kandungan nutrisi tanah, dan konsentrasi nitrogen pada tanaman padi sawah. Selain itu, aplikasi pupuk hayati dan kompos jerami juga meningkatkan respirasi tanah, kandungan bahan organik tanah, dan hasil panen padi pada berbagai takaran pupuk nitrogen yang diberikan. Buku ini diharapkan dapat memberikan wawasan dan pemahaman yang lebih dalam mengenai penggunaan pupuk hayati dan kompos jerami dalam konteks pemulihan kesehatan tanah dan peningkatan produktivitas tanaman padi sawah. Penulis berharap buku ini dapat menjadi sumber inspirasi dan panduan bagi para petani, peneliti, dan pihak-pihak yang tertarik denggan pertanian berkelanjutan.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".