AGRIKULTUR PEDESAAN BERKELANJUTAN: USULAN KONSEP PENGEMBANGAN WILAYAH CEPOGO RAYA, KABUPATEN BOYOLALI
Bibliographic record
Abstract
Boyolali as the district with the best food sovereignty in Central Java Province in 2014, it only focuses on the protection of wetland farming through the policy of Sustainable Agriculture Farm (LP2B). While dry land farming has not received special attention. Agricultural horticulture and dairy farming which is the region's superior product has not been able to provide more favorable economic value through the integration of sectors from upstream to downstream to improve the economy of the community. Starting from this issue, this article aims to propose the concept of regional development through rural agriculture. This article is based on the perspective of urban and regional planning in Cepogo, Ampel, Musuk, and Selo sub districts, which is then called Cepogo Raya Region. Through the study of secondary data and primary data in the form of interviews, questionnaires and observations, this article discusses qualitatively the concept of regional development. Field and institutional surveys were conducted from July to September 2017 in the lectures of Studio of Planning Process (4th semester) and Studio of Planning (5th semester) undergraduate program of Urban and Regional Planning, Diponegoro University. The proposed concept of rural area development in Boyolali District is to bring up two urban centers with the concept of agribusiness development in Cepogo Sub district and agroindustry in Ampel Sub-district through the direction of regional development based on the local potential of each sub-district. The result of research of Cepogo Raya region development plan with sustainable agriculture system, that is plan to utilize new development center which integrated with structure plan of Cepogo Raya region. The strategy used, namely spatial integration in the model of sustainable agriculture systems
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".