Traffic Density Prediction Model At Loading Terminal Using Discrete Simulation Method Quantitative Approach

Kristin Anita Indriyani (Politeknik Ilmu Pelayaran Semarang)
Ely Sulistiyowati (Politeknik Ilmu Pelayaran Semarang)
Indah Nurhidayati (Politeknik Ilmu Pelayaran Semarang)

Jurnal Sains Teknologi Transportasi Maritim
Vol 5 No 2 (2023): Jurnal Sitektransmar November 2023

Traffic density at the port loading terminal is a critical factor affecting the port's operational efficiency and overall performance. To overcome the challenges of the complexity of the traffic system at the port terminal, a discrete simulation approach is adopted in this study. A quantitative approach is used to collect data and accurately model traffic processes. This study aims to develop a predictive model of traffic density at Tanjung Emas port loading terminals using a discrete simulation methods quantitative approach. The results showed that the resulting traffic density prediction model has high accuracy and can be used as a predictive tool to assist decision-making in optimizing port loading terminal operations