Dampak Perkembangan Usaha Gabungan Kelompok Tani (Gapoktan) Terhadap Kesejahteraan Anggota
Bibliographic record
Abstract
Sektor pertanian memiliki peran penting dalam perekonomian Indonesia, namun keterbatasan akses modal, teknologi, dan pasar membuat kesejahteraan petani masih rentan. Gabungan Kelompok Tani (Gapoktan) menjadi salah satu kelembagaan strategis untuk meningkatkan efisiensi usaha, akses modal, dan pemasaran hasil pertanian. Penelitian ini bertujuan untuk menganalisis perkembangan usaha KSU Gapoktan Albasiko II di Nagari Padang Canduh, Kecamatan Kinali, Kabupaten Pasaman Barat, serta kontribusinya terhadap kesejahteraan anggota. Metode yang digunakan adalah deskriptif kualitatif dengan pengumpulan data melalui observasi, wawancara, dan dokumentasi pada 71 anggota. Hasil penelitian menunjukkan bahwa KSU Gapoktan Albasiko II mengalami perkembangan signifikan pada aset, unit usaha, dan pendapatan, terutama melalui Lembaga Keuangan Mikro Agribisnis (LKM-A), sarana produksi pertanian (Saprodi–Saprotan), serta Lembaga Distribusi Pangan Masyarakat (LDPM/Waserda). Perkembangan unit usaha tersebut berdampak positif terhadap pendapatan, produktivitas, dan stabilitas harga bagi anggota. Temuan ini mengisi kekosongan penelitian sebelumnya yang jarang mengevaluasi dampak multi-unit usaha Gapoktan secara simultan dan menunjukkan pentingnya penguatan kelembagaan petani dalam mendukung pembangunan pertanian berkelanjutan di pedesaan.
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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 | 0.000 |
| 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) | 0.017 | 0.003 |
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".