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Record W4407419456 · doi:10.33503/ecoducation.v6i3.778

Model Strategi dan Kebijakan Ekonomi dalam Pengembangan Kawasan Budidaya Ikan Nila di Kecamatan Baturraden, Kabupaten Banyumas

2024· article· id· W4407419456 on OpenAlex

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

VenueEconomic and Education Journal (Ecoducation) · 2024
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicAgriculture and Agroindustry Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

Penelitian ini dilakukan untuk mengetahui bagaimana strategi dan kebijakan ekonomi yang tepat dalam pengembangan kawasan budidaya ikan Nila di Kecamatan Baturraden, Kabupaten Banyumas. Metode penelitian ini menggunakan pendekatan kualitatif dan data sekunder yang bersumber dari berbagai literatur yang berkaitan dengan masalah yang sama. Cara pengumpulan data yang digunakan dalam penelitian ini melalui wawancara semi-terstruktur, observasi, dan analisis dokumen. Variabel yang diteliti adalah volume produksi, Nilai produksi, akses modal, serta potensi dan akses pasar. Dari analisis data, strategi untuk mengembangkan budidaya ikan Nila di Kecamatan Baturraden meliputi pengelolaan modal, diversifikasi usaha menjadi bisnis kreatif, peningkatan Nilai produk, dan perbaikan strategi pemasaran. Penelitian menunjukkan bahwa Kecamatan Baturraden memiliki potensi besar sebagai pusat budidaya ikan Nila dengan manajemen modal yang baik, diversifikasi usaha, dan pemasaran yang modern. Penerapan strategi ini diharapkan dapat meningkatkan produktivitas, pendapatan masyarakat, dan kontribusi sektor perikanan terhadap peningkatan pertumbuhan ekonomi.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.584
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.247
Teacher spread0.221 · 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