Konfigurasi Ruang Jaringan Jalur Pejalan Kaki di Sekitar Alun-Alun Singaparna Kabupaten Tasikmalaya dengan Analisis Space Syntax
Bibliographic record
Abstract
Abstract. This research analyzes the level of connectivity as well as the accessibility of the pedestrian lane network around Singaparna Square. The background of this study is based on the area around Alun-alun Singaparna which is the center of the district with various attractions must have good connectivity and accessibility to support the smooth running activities. The purpose of this research is to determine the configuration level of the pedestrian network space around Singaparna Square. This research uses a quantitative approach with the space syntax analysis method that utilizes degree of choice and degree of integration calculations. Primary data collection method through observation and spatial mapping. The results of this study show the level of connectivity and accessibility of the pedestrian network segments around Singaparna Square, which can be a recommendation for the arrangement of the pedestrian path network around Singaparna Square. Abstrak. Penelitian ini menganalisis tingkat konektivitas serta aksesibilitas jaringan jalur pejalan kaki di sekitar Alun-alun Singaparna. Latar belakang studi ini didasari oleh kawasan sekitar Alun-alun Singaparna yang merupakan pusat kabupaten dengan berbagai daya tarik harus memiliki konektivitas dan aksesibilitas yang baik untuk mendukung kelancaran aktivitas berjalan. Tujuan dari penelitian ini yaitu untuk mengetahui tingkat konfigurasi ruang jaringan jalur pejalan kaki di sekitar Alun-alun Singaparna. Penelitian ini menggunakan pendekatan kuantitatif dengan metode analisis space syntax yang memanfaatkan perhitungan degree of choice dan degree of integration. Metode pengumpulan data primer melalui observasi dan pemetaan secara spasial. Hasil dari penelitian ini menunjukan tingkat konektivitas dan aksesibilitas dari segmen-segmen jaringan jalur pejalan kaki di sekitar Alun-alun Singaparna. yang dapat menjadi rekomendasi untuk penataan jaringan jalur pejalan kaki di sekitar Alun-alun Singaparna.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".