Peningkatan Keselamatan Pada Simpang Dengan Menerapkan RHK Sepeda Motor (Studi Kasus Simpang Empat Bersinyal Srikandi Di Kabupaten Pasuruan)
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Bibliographic record
Abstract
Pasuruan Regency is one of the regions in Indonesia which is precisely located in the province of East Java. With a very rapid economic development will certainly affect the flow of traffic, especially at the intersection. One of the most populous intersections is the Srikandi Four Intersection which is located in Pandaan District. To improve safety at an intersection, traffic management is necessary. This study aims to analyze the performance of the intersection by using the MKJI calculation and calculate the area of the Special Stop Room (RHK) of a motorcycle that refers to the Guidelines for Designing Motorcycle RHK at a Signed Intersection in the Urban Area planned on Jalan R.A. Kartini and Jalan A. Yani. The method used to plan the RHK of this motorcycle uses quantitative descriptive methods and qualitative descriptive methods. Intersection performance results obtained from calculations for the existing conditions of the North approach capacity (Jalan Urip Sumoharjo) 252 pcu / hour, queue length 131 m, degree of saturation of 0.85. Eastern approach capacity (Jalan Pahlawan Sunaryo) 265 pcu / hour, queue length 146 m, degree of saturation 0,85. South approach capacity (Jalan R.A. Kartini) 579 pcu / hour, queue length 134 m, degree of saturation of 0.85. The Western approach capacity (Jalan A. Yani) is 730 pcu / hour, the queue length is 104 m, the degree of saturation is 0.85, while the average delay is 59.10 seconds / pcu. From the performance analysis of the intersection, the length of the RHK motorcycle for the R.A. Kartini is 11.5 meters long, while for Jalan A. Yani it is 10.3 meters long.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it