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Record W4408975765 · doi:10.25157/ag.v7i1.16470

Prospek dan Nilai Tambah Penangkaran Bibit Bawang Putih Lokal pada Kelompok Tani di Desa Nunuk Baru Kabupaten Majalengka

2025· article· id· W4408975765 on OpenAlexaff
Dadan Ramdani Nugraha, Muhamad Nurdin Yusuf, Sri Ayu Andayani, Miftah Dieni Sukmasari, Loyn Simbolon, Adid Nazmudin, Lenny Intan Avrilia, ⁠Azis Hakim, Hani - Narulita, Raiza Rahayu Abdurohman, Muhamad Alif Nuryadin, Gita Indah Lestari

Bibliographic record

VenueAbdimas Galuh · 2025
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicShallot Cultivation and Analysis
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kapasitas Kelompok Tani Silih Asih 1 dan 2 di Desa Nunuk Baru, Kabupaten Majalengka, dalam teknis budidaya dan prosedur penangkaran bibit bawang putih lokal. Melalui diseminasi teknologi budidaya sesuai Good Agriculture Practices (GAP) dan pelatihan prosedur penangkaran, kegiatan ini diharapkan dapat meningkatkan produktivitas dan nilai tambah bagi petani. Hasil dari kegiatan ini menunjukkan bahwa penangkaran bibit bawang putih lokal berpotensi meningkatkan pendapatan petani hingga 30%. Selain itu, diversifikasi produk dan peningkatan keterampilan manajerial turut memberikan dampak positif bagi keberlanjutan usaha tani bawang putih lokal. Dukungan dari pemerintah dan kolaborasi dengan berbagai pemangku kepentingan memperkuat prospek pengembangan bibit bawang putih lokal sebagai komoditas unggulan yang dapat meningkatkan kesejahteraan petani dan perekonomian lokal.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0240.004

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 head0.016
GPT teacher head0.238
Teacher spread0.222 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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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