USULAN STANDAR DAN EVALUASI TINGKAT PELAYANAN WALKWAY DI UNIVERSITAS KRISTEN PETRA
Bibliographic record
Abstract
A study about the characteristics of pedestrians flow is required to design the width of walkway for a building. Base on that specific condition a Level of Service (LOS) could be proposed. The aim of this study is to identify characteristic of pedestrian that using the walkway including walking speed and pedestrian flow, to proposed and evaluated LOS of walkway at campus area. Survey was conducted at nine different locations at Petra Christian University. Pearson Correlation and Regression analysis were using to obtain the equation of relation between pedestrian characteristics that required for counting the walking speed and pedestrian flow for each LOS. The result indicate that most of walkway at Petra Christian University area have LOS = A, except for the walkway in front of telecommunication shop (wartel) nearby P building which has level of service B. Abstract in Bahasa Indonesia : Dalam merencanakan lebar jalur pejalan kaki (walkway) pada suatu gedung diperlukan studi untuk mempelajari karakteristik pergerakan pejalan kaki, sehingga dapat diusulkan suatu standar tingkat pelayanan (Level of Service/LOS) yang sesuai dengan kondisi setempat. Penelitian ini bertujuan untuk mengetahui karakteristik pengguna walkway meliputi kecepatan berjalan dan arus pejalan kaki, guna mengusulkan dan mengevaluasi LOS walkway di area kampus. Survey dilakukan pada sembilan lokasi yang berbeda di Universitas Kristen Petra. Hasil survey dianalisa dengan korelasi Pearson dan regresi, untuk mendapatkan persamaan yang menggambarkan hubungan antar karakteristik pejalan kaki yang selanjutnya dipergunakan untuk perhitungan kecepatan berjalan dan arus pejalan kaki pada setiap LOS. Hasil analisa menunjukkan bahwa sebagian besar walkway di area Universitas Kristen Petra pada studi dilaksanakan mempunyai LOS = A, kecuali untuk walkway di depan wartel dekat Gedung P yang memiliki LOS = B. Kata kunci: jalur pejalan kaki, tingkat pelayanan.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.018 | 0.005 |
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".