Analisis Kinerja dan Tingkat Pelayanan Ruas Jalan Raya Ciomas Kreteg Kabupaten Bogor
Bibliographic record
Abstract
The development of transportation has an impact on increasing traffic flow. The increase in the number of vehicles and high levels of human movement will cause congestion if it is not balanced with adequate road infrastructure. The aim of the research is to identify the level of service and performance of road sections. Methodology is a method or technique used to test the validity of using certain research. The research location is on Jalan Raya Ciomas Kreteg, Bogor Regency because it is a residential and commercial area so it is busy every day. Data collection techniques are taken through surveys of geometric conditions, traffic flow, speed and side obstacles. The supporting data is obtained from the population according to the Central Statistics Agency. The survey was carried out during rush hour and it was discovered that the traffic volume was 1216.75 pcu / hour. The analysis results show that the capacity of Jalan Raya Ciomas Kreteg is 2201.45 pcu / hour and DS is 0.55, so the Jalan Raya Ciomas Kreteg section is in class C in the classification of road service levels.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".