@phdthesis{repoupi143440,
           month = {August},
           title = {ANALISIS TRIP ASSIGNMENT SISTEM JARINGAN JALAN 
AKSES PELAYANAN LRT, STASIUN LRT CIKOKO 
JAKARTA},
            year = {2025},
            note = {https://scholar.google.com/citations?view\_op=new\_articles\&hl=en\&imq=Auryn+Jovita+Salmaa\#

ID SINTA Dosen Pembimbing:
Juang Akbardin: 5979018
Dadang Mohamad Ma'soem: 6746091},
          school = {Universitas Pendidikan Indonesia},
        keywords = {Transportation Planning, Trip Assignment, Analisis Sistem Jaringan Jalan, Tingkat Pelayanan Jalan, Stasiun LRT Cikoko.

Transportation Planning, Trip Assignment, Road Network Analysis, Level of Service, Cikoko LRT Station},
        abstract = {Peningkatan kebutuhan mobilitas perkotaan di Jakarta mendorong pengembangan 
moda transportasi, salah satunya LRT Jabodebek. Stasiun LRT Cikoko berperan 
strategis sebagai simpul integrasi antara moda LRT dan jaringan jalan di sekitarnya. 
Namun, keterbatasan kapasitas jaringan jalan akses berpotensi menurunkan 
efisiensi pelayanan. Penelitian ini bertujuan untuk (1) mengidentifikasi volume 
pergerakan lalu lintas dari berbagai zona asal menuju Stasiun LRT Cikoko, (2) 
menganalisis pembebanan jaringan jalan, (3) mengevaluasi tingkat pelayanan 
(Level of Service) pada rute akses, serta (4) menentukan rute efisien bagi pengguna. 
Metodologi melibatkan pengumpulan data primer melalui kuesioner pengguna, 
serta data sekunder dari instansi terkait. Data origin-destination diolah untuk 
menghasilkan matriks perjalanan, yang kemudian dianalisis menggunakan model 
trip assignment pada perangkat lunak PTV Visum. Analisis tingkat pelayanan 
dilakukan mengacu pada Pedoman Kapasitas Jalan Indonesia (PKJI) 2023, 
sedangkan evaluasi rute efisien mempertimbangkan kapasitas, dan kenyamanan. 
Hasil penelitian diproyeksikan menunjukkan konsentrasi pergerakan tinggi pada 
beberapa ruas jalan utama yang mengarah ke stasiun, dengan potensi penurunan 
tingkat pelayanan pada jam sibuk. Rute efisien cenderung memanfaatkan koridor 
jalan dengan kapasitas memadai meskipun jarak sedikit lebih jauh dibanding rute 
terpendek. Secara akademik, penelitian ini memberikan kontribusi pada 
pengembangan model integrasi transportasi jalan. Secara sosial-ekonomi, hasilnya 
dapat menjadi dasar perencanaan peningkatan infrastruktur akses, mengurangi 
kemacetan, dan mendorong peralihan moda ke transportasi massal. 

The increasing demand for urban mobility in Jakarta has driven the development of 
various transportation modes, one of which is the LRT Jabodebek. Cikoko LRT 
Station holds a strategic role as an integration hub between the LRT network and 
the surrounding road infrastructure. However, the limited capacity of the access 
road network has the potential to reduce service efficiency. This study aims to (1) 
identify traffic volumes from various origin zones to Cikoko LRT Station, (2) 
analyze road network loading, (3) evaluate the Level of Service (LOS) of access 
routes, and (4) determine the most efficient routes for users. The methodology 
involves collecting primary data through passenger questionnaires and secondary 
data from relevant agencies. Origin-destination data are processed to produce a trip 
matrix, which is analyzed using a trip assignment model in PTV Visum software. 
Level of Service (LOS) analysis refers to the Indonesian Road Capacity Guidelines 
(PKJI) 2023, while efficient route evaluation considers capacity and user comfort. 
The findings are projected to reveal high traffic concentrations along several main 
road segments leading to the station, with potential LOS degradation during peak 
hours. Efficient routes tend to utilize corridors with adequate capacity, even when 
the distance is slightly longer than the shortest path. Academically, this research 
contributes to the development of integrated road transport models. Socio
economically, the results of this research can serve as a basis for planning access 
infrastructure improvements, reducing congestion, and encouraging modal shifts 
toward mass transit.},
          author = {Auryn Jovita Salmaa Riznan, - and Juang Akbardin, - and Dadang Mohamad Ma'soem, -},
             url = {https://repository.upi.edu/}
}