PERAN PERKEMBANGAN KEGIATAN INDUSTRI DAN PERDAGANGAN JASA TERHADAP PERUBAHAN STRUKTUR RUANG KAWASAN SOLO BARU
Bibliographic record
Abstract
Solo Baru area is a satellite city that grew due to the phenomenon of urban sprawl in Surakarta. This area growth of more advanced and dominated by economic activity, especially industrial and trade-services activities. The problem is development on industrial and trade-services activities occur in Solo Baru certainly will encourage a change in the spatial area as centers of activities, patterns of land use and road network. Changes in the spatial aspect will have a negative impact on the regularity of the spatial structure and function of the area to the surrounding area. Therefore, this research was conducted to determine the role of the development of industrial and trade-services activities to the changes in the spatial structure of Solo Baru area . The method of research is deductive-quantitative, while the data analisys technique used is descriptive analysis of quantitative and spatial descriptive. The results of this study notes that both of industrial and trade-services activities have developed from years 2002-2014 that occurred development of industrial activity by 43% and trade-services activities amounted to 140%. The role of the development of industrial and trade-services activities include the agglomeration of activities and to encourage a change in the distribution centers that changes occur in the central-subcentral models that undergo a change from a non-centered to form multi-nodal. In addition, the industrial and trade-services activities also encourage land use changes and then give impact to the shift and functional zoning exist within the area as well as attract more movement leads to a change in the function and capacity of the road network. Keywords: activity development role, industrial, spatial structure, trade-services
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.050 | 0.011 |
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".