Analisa Efektivitas Penerapan Jalur Khusus Sepeda Di Kota Palembang Pada Rute Jakabaring Sport City – BKB
Bibliographic record
Abstract
Pemerintah kota Palembang telah meresmikan jalur khusus sepeda pada tahun 2020 lalu oleh Walikota Palembang, ada tiga rute resmi jalur khusus sepeda tersebut. Tiga jalur khusus pecinta sepeda ini dibuat pemerintah untuk menertibkan arus lalu lintas dan memfasilitasi para pengguna sepeda di kota Palembang. Dalam penerapan penggunaan jalur khusus sepeda pada kawasan kota Palembang masih mengalami kesulitan dikarenakan besarnya volume kendaraan pribadi yang di dominasi oleh kendaraan bermotor, selain itu masih minimnya pengguna sepeda dan tujuan bersepeda masih sebatas untuk olahraga. Tujuan penelitian adalah untuk menganalisis efektivitas jalur khusus sepeda di Kota Palembang menggunakan metode deskriptif kuantitatif dan metode analisis dengan teknik BLOS (Bicycle Level Of Service). Pengumpulan data dilakukan dengan survey. Hasil penelitian dan analisis dengan BLOS didapat hari Senin dan Minggu pada jam 06.00 - 08.00 WIB, 11.00 – 13.00 WIB, dan 16.00 – 18.00 WIB nilai BLOS berada pada peringkat “E” yaitu lebih dari 4,5 -5,5 artinya lingkungan tidak aman untuk sepeda.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".