ALFARABI, MUHAMAD ZAKKY (2025) ANALISA KINERJA SIMPANG BERSINYAL DAN KINERJA RUAS JALAN METODE PKJI 2023 DAN SOFTWARE PTV VISSIM JALAN BOULEVARD BINTARO JAYA. S1 thesis, Universitas Mercu Buana.
|
Text (HAL COVER)
01 COVER.pdf Download (725kB) | Preview |
|
![]() |
Text (BAB I)
02 BAB 1.pdf Restricted to Registered users only Download (280kB) |
|
![]() |
Text (BAB II)
03 BAB 2.pdf Restricted to Registered users only Download (1MB) |
|
![]() |
Text (BAB III)
04 BAB 3.pdf Restricted to Registered users only Download (479kB) |
|
![]() |
Text (BAB IV)
05 BAB 4.pdf Restricted to Registered users only Download (2MB) |
|
![]() |
Text (BAB V)
06 BAB 5.pdf Restricted to Registered users only Download (408kB) |
|
![]() |
Text (DAFTAR PUSTAKA)
07 DAFTAR PUSTAKA.pdf Restricted to Registered users only Download (258kB) |
|
![]() |
Text (LAMPIRAN)
08 LAMPIRAN.pdf Restricted to Registered users only Download (552kB) |
Abstract
The rapid population growth in South Tangerang City has led to an increase in traffic volumes, particularly along Jalan Boulevard Bintaro Jaya, which frequently experiences congestion, especially at the signalized intersection. If left unaddressed, this condition has the potential to reduce vehicle movement efficiency and increase travel times for road users. This study aims to analyze the performance of the signalized intersection and the adjacent road segment in the area using two approaches: the Indonesian Highway Capacity Manual (PKJI 2023) and the microscopic simulation software PTV VISSIM. The research was conducted through three days of traffic surveys during morning and evening peak hours to obtain representative traffic data. The analysis includes calculations of degree of saturation, free-flow speed, road and intersection capacity, as well as microscopic model-based simulations. The results indicate that for the existing road segment, the PKJI 2023 method produced degree of saturation values of 0.39 and 0.40 with a Level of Service (LOS) of B, indicating satisfactory performance. However, for the signalized intersection, PKJI 2023 recorded an average delay of 189,8 seconds/pcu and a queue length of 152.7 meters (LOS F), while the PTV VISSIM simulation showed an average delay of 75.25 seconds/pcu and a queue length of 71 meters (LOS F). This difference reflects the methodological characteristics: PKJI provides a conservative estimate using macroscopic analysis, whereas VISSIM produces a more dynamic simulation based on driver behavior. Among the three improvement alternatives tested, the third alternative yielded the most optimal results by reducing the average delay to 19 seconds/pcu, indicating a significant improvement in traffic efficiency. Validation of the VISSIM model against field data supports the reliability of the simulation results. These findings provide practical recommendations, including signal phase optimization, geometric intersection redesign, and long-term planning to improve traffic performance in the study area and prevent future congestion. Keywords: Signalized intersection, PKJI 2023, PTV VISSIM, saturation degree, road capacity, Boulevard Bintaro Jaya. Pertumbuhan penduduk yang pesat di Kota Tangerang Selatan berdampak pada peningkatan volume lalu lintas, khususnya di Jalan Boulevard Bintaro Jaya yang sering mengalami kemacetan, terutama di sekitar simpang bersinyal. Kondisi ini, jika tidak diatasi, berpotensi menurunkan efisiensi pergerakan kendaraan dan meningkatkan waktu tempuh pengguna jalan. Penelitian ini bertujuan untuk menganalisis kinerja simpang bersinyal dan ruas jalan di kawasan tersebut dengan menggunakan dua pendekatan, yaitu metode PKJI 2023 dan software simulasi mikroskopik PTV VISSIM. Penelitian dilakukan melalui survei lalu lintas selama tiga hari pada jam sibuk pagi dan sore untuk memperoleh data lalu lintas yang representatif. Analisis mencakup perhitungan derajat kejenuhan, kecepatan arus bebas, kapasitas jalan dan simpang, serta simulasi berbasis model mikroskopik. Hasil analisis menunjukkan bahwa pada ruas jalan eksisting, metode PKJI 2023 menghasilkan derajat kejenuhan sebesar 0,39 dan 0,40 dengan tingkat pelayanan (LOS) B, yang menandakan kinerja masih tergolong baik. Namun, pada simpang bersinyal, metode PKJI 2023 mencatat tundaan rata-rata 189,8 detik/smp dan panjang antrian 152,7 meter (LOS F), sedangkan simulasi PTV VISSIM menunjukkan tundaan 75,25 detik/smp dan antrian 71 meter (LOS F). Perbedaan ini mengindikasikan karakteristik metode: PKJI memberikan estimasi konservatif berbasis analisis makroskopis, sedangkan VISSIM menghasilkan simulasi yang lebih dinamis berbasis perilaku lalu lintas. Dari tiga alternatif solusi yang diuji, alternatif ketiga memberikan hasil paling optimal dengan menurunkan tundaan rata-rata menjadi 19 detik/smp, menunjukkan peningkatan efisiensi lalu lintas yang signifikan. Validasi model VISSIM terhadap data lapangan memperkuat reliabilitas hasil simulasi. Temuan ini menjadi dasar rekomendasi praktis berupa pengaturan fase sinyal, rekayasa geometrik simpang, serta perencanaan jangka panjang untuk meningkatkan kinerja lalu lintas di area studi dan mencegah terulangnya kemacetan di masa depan. Kata kunci: Simpang bersinyal, PKJI 2023, PTV VISSIM, derajat kejenuhan, kapasitas jalan, Boulevard Bintaro Jaya.
Item Type: | Thesis (S1) |
---|---|
Call Number CD: | FT/SIP. 25 138 |
NIM/NIDN Creators: | 41121010023 |
Uncontrolled Keywords: | Signalized intersection, PKJI 2023, PTV VISSIM, saturation degree, road capacity, Boulevard Bintaro Jaya |
Subjects: | 600 Technology/Teknologi > 620 Engineering and Applied Operations/Ilmu Teknik dan operasi Terapan > 624 Civil Engineering/Teknik Sipil 600 Technology/Teknologi > 620 Engineering and Applied Operations/Ilmu Teknik dan operasi Terapan > 625 Engineering Of Railroads, Roads/Rekayasa Rel Kereta Api, Jalan > 625.7 Road Engineering/Teknik Jalan Raya |
Divisions: | Fakultas Teknik > Teknik Sipil |
Depositing User: | Pandu Risdiyanto |
Date Deposited: | 26 Sep 2025 01:20 |
Last Modified: | 26 Sep 2025 01:20 |
URI: | http://repository.mercubuana.ac.id/id/eprint/98228 |
Actions (login required)
![]() |
View Item |