ADOPSI TEKNOLOGI BUDIDAYA UDANG SECARA INTENSIF DI KOLAM TAMBAK
Bibliographic record
Abstract
Tulisan ini merupakan hasil penelitian terkait gambaran penerimaan teknologi yang diterapkan pada demfarm oleh pengguna dilihat dari tingkat adopsi teknologi yang diintroduksi oleh kelompok penerima program demfarm. Penelitian dilakukan menggunakan pendekatan analisis kebijakan. Teknologi yang dievaluasi adalah teknologi yang diperkenalkan pada demfarm budidaya udang di kolam tambak secara intensif. Verifikasi lapang ke lokasi percontohan di wilayah Kabupaten Karawang, Jawa Barat dilakukan pada bulan Mei 2014. Analisis dan interpretasi data dilakukan secara deskriptif. Hasil penelitian menunjukkan bahwa petambak penerima program dapat mengadopsi sebesar 92% darikeseluruhan teknologi yang dianjurkan pada usaha budidaya udang secara intensif. Teknologi yang diterapkan pada demfarm ini belum diadopsi oleh petambak di sekitarnya, sehingga belum terjadi difusi teknologi budidaya udang vaname yang dilaksanakan melalui demfarm. Alasan utama yang dikemukakan oleh para petambak disekitar area demfarm adalah keterbatasan modal dan pembiayaan usaha untuk pelaksanaan operasional budidaya udang vaname di kolam tambak yang mereka miliki, mengingat berdasarkan hasil penghitungan untuk biaya pembukaan tambak udang yang ada di sekitar lokasi demfarm cukup mahal yaitu mencapai Rp.750 juta per hektar.Title: Adoption Rate of Tiger Prawn Cultured on Brackiswater Fish PondThis paper is an overview of the research results related to the extent of acceptance of the technology applied to demfarm by the user, in terms of the rate of adoption of technology is being introduced by the receiver group demfarm program. The study was conducted using a policy analysisapproach. Technology being evaluated is a technology that was introduced in demfarm shrimp farming in an intensive pond. Field verification to the pilot sites in Karawang regency, West Java, conducted in May 2014. Analysis and interpretation of the data was done descriptively. The results showed that farmers can adopt a program recipient of 92% of the overall technology that is recommended in intensive shrimp farming. The technology applied to this demfarm not been adopted by farmers in the vicinity, so it has not happened shrimp farming technology diffusion vaname implemented through demfarm. The main reason put forward by the farmers around the area demfarm is limited capital and business financing for the operational implementation of shrimp culture ponds vaname at their disposal, given based on the results of the calculation for the cost of the opening of shrimp ponds in the vicinity of demfarm quite expensive, reaching Rp. 750 million per hectare.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.004 |
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.
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".