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Record W7160698165 · doi:10.29210/30036388000

Dampak Perkembangan Usaha Gabungan Kelompok Tani (Gapoktan) Terhadap Kesejahteraan Anggota

2025· article· W7160698165 on OpenAlexaff
Dini Sekar Rini, Mahdi Mahdi, Hasnah Hasnah

Bibliographic record

VenueJRTI (Jurnal Riset Tindakan Indonesia) · 2025
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicAgricultural Research and Practices
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsUnit (ring theory)Nonprofit organization

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.004
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0030.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.022
GPT teacher head0.292
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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