Strategi Pengelolaan Ruang Terbuka Hijau di Kawasan Perkotaan Sumedang
Bibliographic record
Abstract
Abstract. Green open space has an important role in shaping the quality of sustainable urban life and ensuring the welfare of urban communities. However, currently Regional Governments face obstacles in managing Public Green Open Spaces in cities or urban areas. The Sumedang Urban Area is one of the urban areas that is currently developing. This growth is often accompanied by increased urbanization and infrastructure development. Public Green Open Space in the Sumedang Urban Area is currently still not optimal. Therefore, the author identifies existing public green open space management problems and formulates strategies that can be implemented. The aim of this research is to formulate a management strategy for Public Green Open Space in the Sumedang Urban Area so that it can be optimal. The method in this research uses Delphi analysis and SWOT analysis. Based on the Delphi analysis carried out, there are three aspects that are the main problems in the management of Public Green Open Spaces in the Sumedang Urban Area, namely, the provision of facilities and infrastructure in Public Green Open Spaces is still not available properly. The SWOT quadrant in the research is in quadrant I which indicates an aggressive growth strategy. In an effort to improve the management of Public Green Open Space in the Sumedang Urban Area, there are strategies that can be implemented, namely by planning & developing Public Green Open Space, improving Public Green Open Space facilities and infrastructure as well as community participation in managing Public Green Open Space. Abstrak. Ruang Terbuka Hijau memiliki peran yang penting dalam membentuk kualitas kehidupan perkotaan yang berkelanjutan dan memastikan kesejahteraan masyarakat perkotaan. Namun, saat ini Pemerintah Daerah menghadapi kendala dalam mengelola Ruang Terbuka Hijau Publik yang ada di kota atau kawasan perkotaan. Kawasan Perkotaan Sumedang merupakan salah satu daerah perkotaan yang sedang berkembang. Pertumbuhan ini sering kali diikuti oleh peningkatan urbanisasi dan pembangunan infrastruktur. Ruang Terbuka Hijau Publik di Kawasan Perkotaan Sumedang saat ini masih belum optimal. Maka dari itu penulis mengidentifikasi permasalahan pengelolaan RTH Publik yang ada serta merumuskan strategi yang dapat dilakukan. Tujuan dari penelitian ini untuk merumuskan strategi pengelolaan Ruang Terbuka Hijau Publik di Kawasan Perkotaan Sumedang agar dapat optimal. Metode pada penelitian ini menggunakan analisis Delphi dan analisis SWOT. Berdasarkan analisis delphi yang dilakukan, terdapat tiga aspek yang menjadi permasalahan utama pada pengelolaan Ruang Terbuka Hijau Publik di Kawasan Perkotaan Sumedang, yaitu, penyediaan sarana dan prasarana pada Ruang Terbuka Hijau Publik masih belum tersedia dengan baik. Kuadran SWOT dalam penelitian berada pada kuadran I yang menandakan strategi pertumbuhan agresif. Dalam upaya meningkatkan pengelolaan Ruang Terbuka Hijau Publik di Kawasan Perkotaan Sumedang terdapat strategi yang dapat dilakukan yaitu dengan perencanaan & pengembangan RTH Publik, peningkatan sarana dan prasarana RTH Publik serta partisipasi masyarakat dalam pengelolaan RTH Publik.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 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".