Syarifuddin Ishak, Ludfi Djakfar, Achmad Wicaksono
Inter-island shipment requests for rock aggregate products are served through the terminal for their own needs (TFON). The high demand for rock aggregate products causes many ships to queue up to be loaded. However, this condition is not comparable to the availability of dump trucks used to serve loading and unloading activities. This study aims to improve the performance of dump truck service in transporting rock aggregate so that the number of dump truck vehicles and optimal loading and unloading service times from the stockpile to ship at TFON are obtained. The research location was carried out at active rock mining companies in the Central Sulawesi region. The data collection method is carried out using field surveys (observations) using a time recording device by recording the process of transporting rock aggregates from the stockpile location to the ship in TFON and collecting secondary data on the demand for rock aggregates to be transported. The analysis method uses the hybrid Genetic Ant Colony Algorithm (ACO-GA) method namely a combination method between the Ant Colony Optimization algorithm and the Genetic Algorithm which aims to maximize the optimal number of trucks used in the transportation process and minimize the time in the loading and unloading process. The results showed that there had been an increase in service performance of the dump truck used in transporting rock aggregate with the longest distance of 2.3 km with a total of 5 dump trucks. The number of dump trucks of 5 units was selected because it falls within the fitness value criteria which is closest to the optimum value or equal to the value of the resources owned. Meanwhile, the optimal loading and unloading process time is in the range of 1.81–3.34 working days © (2024), (Technology Center). All rights reserved.
Department of Civil Engineering Brawijaya University, M. T. Haryono str., 167, Malang, 65145, Indonesia