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Penggunaan Traktor Roda Dua pada Lahan Padi Sawah di Jawa Barat

2009· article· id· W2147352134 on OpenAlex
Saeful Bachrein, Agus Ruswandi, Trisna Subarna

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Agribisnis dan Agrowisata (Journal of Agribusiness and Agritourism) · 2009
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicAgricultural Research and Practices
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsForestryGeography

Abstract

fetched live from OpenAlex

Pengembangan komoditas padi sawah yang berorientasi agribisnis seharusnya didukung oleh alat dan mesin pertanian antara lain traktor moda dua. Kajian ini dilakukan untuk mengevaluasi tingkat penggunaan, keragaan dan kelayakan penggunaan traktor roda dua di lahan padi sawah di Jawa Barat. Kajian ini juga bertujuan untuk membuat pendekatan pengembangan traktor roda dua di Jawa Barat berdasarkan kenyataan di lapangan dan kebijakan pemerintah. Kajian ini dilaksanakan melalui metode Pemahaman Pedesaan Partisipatif dan survey terstruk-tur. Hasil pengkajian menunjukkan bahwa ketersediaan traktor relatif memadai dengan tingkat partisipasi rumah tangga pengguna di musim hujan dan kemarau masing-masing 96 % dan 97 %. Usaha jasa traktor layak diusahakan karena mem-berikan nilai Revenue-Cost Rasio 1,36 dan Pay Back Period 2,74 per tahun dan titik Impas 30,77 ha/tahun. Pada penelitian ini, beberapa masalah sosial, budaya dan teknis dalam pengembangan traktor roda dua pada padi sawah di Jawa Barat telah diinventarisasi.

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.

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
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.818
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
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0020.004
Open science0.0020.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.249
Teacher spread0.229 · 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