Evaluasi Kinerja Pelayanan dan Tarif Sistem Angkutan Umum Berbasis Bus di Kota Semarang (Studi Kasus : Bus Trans Semarang Koridor I Rute Terminal Penggaron – Terminal Mangkang)
Bibliographic record
Abstract
Service quality and fares are very important parameters in the operation of the public transport system. BRT Trans Semarang is a bus-based public transportation system in Semarang city that is operated to overcome congestion and accommodate the movement of people in Semarang City. This study aims to evaluate the service performance and fares of BRT Trans Semarang and to determine the level of user satisfaction. The methods used in this study are observation, interviews, questionnaires and primary surveys. The data obtained is processed, analyzed and all indicators are evaluated referring to the Technical Guidelines for Organizing Public Transport in Urban Areas in the Fixed and Regular Routes of the Director General of Land Transportation 2002. The results show that: 1) overall the performance of BRT Trans Semarang services has met the standards , and there are 2 (two) indicators that doesn't meet the standards, are the average loading factor (utilization factor) and passenger waiting time; 2) Most passengers are satisfied with BRT Trans Semarang services; 3) The exixting fare applied is below the amount of the cost operation issued by the operator so it needs Government support (subsidies) to ensure BRT Trans Semarang can continue operate.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".