Kinerja Lalu Lintas Simpang Tak Bersinyal Perkotaan pada Lahan Terbatas (Studi Kasus : Simpang Jl. M. Kahfi II – Jl. Srengseng Sawah, Jakarta Selatan)
Bibliographic record
Abstract
This study aims to determine the performance of the unsignalized intersection Jl.M. Kahfi II -Jl.Srengseng Sawah, South Jakarta.The analysis of the performance at unsignaled intersections refers to the guideline of the Indonesian Road Capacity Manual (MKJI), 1997.Data obtained through field surveys include geometric conditions, environmental conditions, and traffic conditions.The results of the analysis show that the peak hours of the working day in the morning period occur at 06.30 -07.30 with a degree of saturation (DS) 1.10 with an intersection delay (D) of 25.16 sec/pcu and the afternoon period occurs at 18.00 -19.00 with a degree of Saturation (DS) 0.93 with Intersection Delay (D) 16.39 sec/pcu.The results of the analysis for holidays show that the peak hours of the morning holiday period occur at 08.00 -09.00 with a Degree of Saturation (DS) 0.71 with a Intersection Delay (D) 11.74 sec/pcu and the afternoon period occurs at 16.45 -17.45 with a degree of saturation (DS) 0.85 with an intersection delay (D) of 14.31 sec/pcu.The results of this analysis indicate that the performance of the unsignalized intersection on Jl.M. Kahfi II -Jl.Srengseng Sawah South Jakarta is already in bad condition on weekdays and not good on holidays.. Increasing the capacity of Jalan Kahfi II in accordance with detailed spatial plans and zoning regulations in the Jagakarsa District, South Jakarta City in 2014, namely an increase in Jl.Kahfi II from Road Type 2/2 UD to 4/2D is very urgent to apply
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.012 | 0.004 |
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".