PERAN PENYULUH TERHADAP PENGUATAN KELOMPOK TANI DAN REGENERASI PETANI DI KABUPATEN BOGOR JAWA BARAT
Bibliographic record
Abstract
Penelitian bertujuan menganalisis peran penyuluh terhadap penguatan, kemandirian kelompok tani serta regenerasi petani dan menganalisis pengaruh penguatan, kemandirian kelompok tani terhadap regenerasi petani. Penelitian dilakukan di wilayah kerja Balai Penyuluhan Pertanian, Perikanan dan Kehutanan Caringin, Kabupaten Bogor pada Juni sampai November 2017. Populasi penelitian adalah petani muda yang menjadi anggota kelompok tani dan gabungan kelompok tani sebanyak 60 orang yang diambil menggunakan teknik acak sederhana. Data diambil menggunakan kuesioner dengan skala instrumen rating scale. Variabel penelitian terdiri atas peran penyuluh pertanian (X1), penguatan kelompok tani (X2), kemandirian kelompok tani (X3) dan regenerasi petani (Y). Analisis data menggunakan statistik deskriptif, korelasi dan regresi. Hasil penelitian disimpulkan bahwa peran penyuluh pertanian berpengaruh signifikan terhadap penguatan kelompok tani. Peran penyuluh dan penguatan kelompok tani berpengaruh nyata terhadap kemandirian kelompok tani. Peran penyuluh, penguatan kelompok dan kemandirian kelompok tani berpengaruh tidak nyata terhadap regenerasi petani.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.038 | 0.007 |
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".