EVALUASI KINERJA SIMPANG BERSINYAL JALAN GALUNGGUNG-JALAN BONDOWOSO-JALAN RAYA TIDAR DENGAN MENGGUNAKAN PROGRAM PTV VISSIM 9.0
Bibliographic record
Abstract
The signalized intersection at the Jalan Galunggung, Jalan Bondowoso and Jalan Raya Tidar in Malang City often experiences traffic congestion due to the high volume of vehicles heading to activity centers such as shopping malls, universities, schools, and densely populated residential areas. Simpang Galunggung frequently encounters traffic conflicts caused by the high level of traffic activity. This study aims to analyze and evaluate the performance of this signalized intersection using the Indonesian PKJI 2023 and the PTV Vissim 9.0 software. Additionally, the study aims to select alternative solutions and predict the performance of the signalized intersection in the next five years. From the results of the analysis of intersection performance using PKJI 2023 shows a degree of saturation of 0.91258 on holidays and 0.97065 on weekdays. The average delay value at the intersection was 66.3237 seconds/vehicle during holidays and 167.311 seconds/vehicle during weekdays, both categorized into the level of service F. Meanwhile, the modeling analysis with PTV Vissim 9.0 yielded an average intersection delay of 67.67 seconds/vehicle for holidays and 71.37 seconds/vehicle for weekdays, categorized into the level of service E. Some alternative solutions that can be done include changes in the number of phases, traffic engineering or road widening. Abstrak Simpang empat bersinyal Jalan Galunggung, Jalan Bondowoso dan Jalan Raya Tidar di Kota Malang sering mengalami kemacetan lalu lintas karena banyaknya kendaraan yang menuju pusat kegiatan seperti pusat perbelanjaan, kampus, sekolah dan pemukiman padat penduduk. Simpang Galunggung sering mengalami konflik lalu lintas yang disebabkan banyaknya aktifitas pergerakan lalu lintas. Penelitian ini bertujuan untuk menganalisis dan mengevaluasi kinerja simpang bersinyal tersebut menggunakan PKJI 2023 dan perangkat lunak PTV Vissim 9.0. Selain itu, penelitian ini juga bertujuan untuk memilih solusi alternatif dan memprediksi kinerja simpang bersinyal pada lima tahun mendatang. Dari hasil analisa kinerja simpang menggunakan PKJI 2023 menunjukkan nilai derajat kejenuhan pada simpang sebesar 0,91258 pada hari libur dan 0,97065 pada hari kerja. Nilai tundaan simpang rata-rata yang dihasilkan sebesar 66,3237 det/smp pada hari libur dan 167,311 det/ smp pada hari kerja, keduanya dikategorikan dalam tingkat pelayanan F. Sedangkan dari analisa pemodelan pada PTV Vissim 9.0 diperoleh nilai tundaan simpang rata-rata sebesar 67,67 det/kend untuk hari libur dan 71,37 det/kend untuk hari kerja, dikategorikan ke dalam tingkat pelayanan simpang E. Solusi alternatif yang dapat diterapkan meliputi perubahan jumlah fase, rekayasa lalu lintas atau pelebaran ruas jalan.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".