Food Ordering Simulation on Drivethru

Abstract

Food ordering services through drive-thru systems still face several challenges, such as long waiting times, order inaccuracies, and inefficient service processes, especially in high-demand conditions. Therefore, an effective solution is needed to simulate and optimize the ordering workflow before real implementation. This study aims to design and implement a drive-thru food ordering simulation application that can improve service speed and accuracy. The system was developed using the Forward Engineering method with the Waterfall process model, which includes requirements analysis, system design, implementation, and testing. The simulation integrates queue management, user interface design, and order processing into a unified system that represents real-world drive-thru operations. The results show that the developed application is able to simulate the food ordering process effectively, helping users understand the service flow and reducing potential inefficiencies in waiting time and order handling. Thus, this simulation can be used as a supporting tool for improving service quality in the culinary industry