Knowing the innovation of healthy rice in the cultivation of healthy rice farming in Rejo Asri Village, Seputih Raman District, Central Lampung Regency
Bibliographic record
Abstract
Pemerintah merekomendasikan budidaya tanaman sehat yang berjalan tanpa adanya kendala/ permasalahan. Petani menghadapi permasalahan umum dalam budidaya tanaman sehat ini salah satunya adalah harga. Label sehat pada produk ini menjadikan label harga yang cukup tinggi. Petani padi sehat di Desa Rejo Asri melaksanakan usahatani padi sehat dengan banyak tantangan. Tantangan tersebut mulai dari jumlah produksi padi konvensional yang masih lebih banyak daripada padi sehat. Tujuan penelitian ini mengetahui Bagaimana inovasi padi sehat dalam budidaya usahatani padi sehat di Desa Rejo Asri Kecamatan Seputih Raman Kabupaten Lampung Tengah. Penelitian ini dilakukan di Desa Rejo Asri Kecamatan Seputih Raman Kabupaten Lampung dengan responden sebanyak 50 petani padi sehat. Metode analisis yang digunakan adalah analisis deskriptif kuantitatif. Hasil penelitian menunjukkan. Hasil penelitian inovasi padi sehat menguntungkan petani dari segi ekonomi. Inovasi padi sehat sesuai dengan nilai sosial budaya, kebutuhan, dan pengalaman masa lalu. Petani mudah melakukan, mencoba, dan mengamati hasil budidaya padi sehat.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.000 |
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".