MANAJEMEN USAHA BUDIDAYA TANAMAN HORTIKULTURA DALAM POLYBAG (Tanaman Hortikultura Modern)
Bibliographic record
Abstract
Pemanfaatan pekarangan dengan baik dan optimal akan memberikan manfaat bagi kenyamanan, kesehatan dan ekonomi. Lahan yang kurang subur masih bisa menghasilkan tanaman yang produktif dengan cara budidaya tanaman hortikulura dengan menggunakan media tanam dalam Polybag (hortikultura modern). Tanaman hortikultura dalam polybag saat ini menjadi trend di kalangan masyarakat. Selain mudah untuk proses penanamannya, perawatannya juga tidak susah. Tanaman hortikultura modern ini memberikan peluang sangat bagus untuk bisnis. Tujuan pengabdian ini adalah memberikan sosialisasi dan pelatihan budidaya hortikultura modern bekerjasama dengan UPTD PPP Wilayah Cilengkrang Dinas Pertanian Kabupaten Bandung dan memberikan pemahaman mengenai manajemen usaha yang meliputi motivasi usaha, teknis pembukuan sederhana dan pemasaran produk. Dengan pendabdian ini wawasan dan pengetahuan pengurus dan warga RW 13 Kompek Bumi Harapan Ciciru Hilir Kabupaten Bandung dapat meningkat sehingga menunjang keberhasilan usaha mereka. Setiap RT di RW 13 sekarang sudah memanfaatkan lahan kosong dengan ditanami oleh tamanan yang produktif, dan semakin mahir dalam pembukuan setiap kegiatan baik di tingkat RW maupun RT.
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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) | 0.000 | 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 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.041 | 0.008 |
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".