PELATIHAN BUDIDAYA TEBU BAGI PETANI TEBU RAKYAT DI JAWA TIMUR
Bibliographic record
Abstract
Tingkat produktivitas tebu di Indonesia, khususnya di Jawa Timur, masih relatif rendah akibat terbatasnya pemahaman teknis petani terkait budidaya yang sesuai dengan prinsip good agricultural practices (GAP). Kegiatan pengabdian ini bertujuan untuk meningkatkan literasi teknologi budidaya tebu bagi petani binaan Dinas Perkebunan Provinsi Jawa Timur melalui pendekatan penyuluhan kelas dan praktik lapangan. Pelatihan dilaksanakan pada tanggal 4-7 Mei 2024 di Pusat Penelitian Perkebunan Gula Indonesia (P3GI) Pasuruan dan melibatkan 26 petani dari Lumajang dan Situbondo. Evaluasi menggunakan kuesioner pra dan pasca-kegiatan menunjukkan peningkatan pemahaman peserta dari 55% menjadi 85%. Respons positif dari peserta juga ditunjukkan melalui minat untuk menerapkan teknik baru, seperti penggunaan varietas unggul dan pola pemupukan efisien. Tantangan utama yang diidentifikasi meliputi keterbatasan modal dan akses terhadap sarana produksi. Hasil kegiatan ini menunjukkan bahwa kombinasi penyampaian teori dan praktik langsung efektif dalam meningkatkan kapasitas teknis petani. Dukungan lanjutan dari pemerintah dan pemangku kepentingan lainnya sangat diperlukan untuk memastikan keberlanjutan adopsi inovasi di tingkat petani
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".