Kelayakan Ruang Terbuka Hijau Publik Berdasarkan Karakteristik Fisik Ruang (Studi di Taman Kota Gajahwong, Kota Yogyakarta)
Bibliographic record
Abstract
Taman kota merupakan salah satu jenis ruang terbuka hijau publik. Studi berlokasi di Taman Kota Gajahwong Kota Yogyakarta yang mencakup tiga taman kota, yaitu Gajahwong Educational Park, Taman Wifi, dan Taman Krida. Taman Kota Gajahwong merupakan taman kota yang layak bagi Kota Yogyakarta karena keberadaan taman dan pola penggunaan lahan yang strategis. Namun, beberapa bagian taman nampak belum termanfaatkan optimal yang dilihat dari sepinya pengunjung taman. Untuk itu, penelitian bertujuan untuk menilai kelayakan taman kota berdasarkan karakteristik fisik di Taman Kota Gajahwong Kota Yogyakarta. Penelitian menggunakan pendekatan kuantitatif dengan teknik analisis deskriptif kuantitatif. Pengambilan sampel dilakukan dengan teknik Stratified Random Sampling dengan total sampel sebanyak 90 responden. Analisis menunjukkan bahwa Gajahwong Educational Park (GEP) merupakan model taman kota yang layak untuk dijadikan sebagai model ruang terbuka hijau publik yang baik berdasarkan variabel kemenarikan fisik taman, elemen pendukung, keberadaan vegetasi, dan aksesibilitas. Taman GEP menjadi taman yang paling layak dan menarik karena memiliki fasilitas yang lengkap, aksesibilitas yang baik, dan keragaman aktivitas yang bisa dilakukan di dalam taman.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".