SIMULASI ANTRIAN PELAYANAN PADA GARDU TOL BINJAI
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Services performed by service providers must be maximized, so that customers get satisfaction in receiving services. The thing that affects service maximally is the limited available resources, so more research is needed about the queuing system that has gone so far. Binjai City already has a toll road and has been operating since 2018, so far the use of toll roads is still running smoothly, but it should be noted whether this toll road has been operating optimally or not optimally. Toll roads are an important part of the transportation system, toll roads not only function as a good choice to avoid traffic congestion, but also affect all traffic conditions for the metropolitan area. Congestion is currently not a priority issue on the Binjai-Medan toll road. From the results of the research conducted, information is obtained that the number of toll gates is still appropriate, namely 3 Substations, Probability of busy Substation = <1 means that for now the Toll Gate will not be long queues at the time of normal everyday conditions, and further analysis is needed in the following years, so that the possibility of a Toll Station can always be maximized.
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.
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 | 0.002 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.412 | 0.816 |
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