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Lengthy, disorganized physical queues in conventional food ordering systems, particularly within canteens, significantly compromise customer convenience and operational efficiency. This direct-ordering model often results in crowd congestion, unpredictably long waiting times, and potential friction among patrons. To address these operational issues and substantially enhance user satisfaction, this research proposes the development and implementation of an innovative Web-Based Food Ordering System. This digital platform allows customers to place orders entirely online, effectively eliminating the need for physical queuing. The system's core functionality is the realtime monitoring of order status and queue position, providing transparent information directly to the customer's device. For canteen management, the application offers a crucial tool for integrated and structured order handling, ensuring staff can prepare meals more accurately and promptly. By transforming the ordering process into a streamlined digital workflow, the system is expected to accelerate the service cycle, minimize unnecessary crowding, and substantially improve customer satisfaction through a modernized, well-organized, and highly efficient experience. This initiative represents a significant step toward smarter and more responsive food service operations.

Unsignalized intersections are a major point of concern due to the increasing number of vehicles. Bima City is a city located on the eastern part of Sumbawa Island, West Nusa Tenggara Province. As a developing city, congestion and busy traffic often occur on roads or intersections of Mongosidi and Anggrek roads. Therefore, this study was conducted to determine the performance and level of service of unsignalized intersections at Mongosidi Street and Anggrek Street. The method used refers to the Indonesian Road Capacity Manual (MKJI) 1997. This study aims to determine the indicators of traffic behavior at unsignalized intersections. The results of the calculation obtained a total flow of 3147 smp / hour, a capacity value (C) of 4234 smp / hour and a degree of saturation (DS) of 0.74, Traffic Delay (DT) of 8.07 sec / smp, intersection delay (D) of 11.73 sec / smp and upper and lower limit queuing opportunities of 44.46% and 17.74% respectively. This condition occurs on Monday, March 17, 2025 at the peak hour of 06.45-07.45 WITA. For the level of service of the intersection pattern, the conditions on Monday, March 17, 2025 at the peak hour of 06.45-07.45 WITA are also categorized as type C, namely stable flow, but the speed and movement of vehicles are controlled.Drivers are limited in choosing speed, with saturation density (Ds) around 0.45 - 0.74.

The problem in the industrial sector that is often encountered is the problem of queuing. Queues occur when there is an imbalance between services and services offered, causing consumers to wait to get service. Laboratory queue simulation using Arena software. This research was carried out with the aim of analyzing the queuing conditions that occurred during the material A testing process at the XYZ Laboratory through simulation using Arena software. After carrying out a simulation with the Arena software, it was discovered that there were no queues for the material A testing queue activity at the XYZ Laboratory. From the results of the simulation data processing for material A testing queues in the XYZ laboratory, there are no queues and service times are optimal, so there is no need for corrective solutions. Based on the results of verification and validation, H0 is accepted because the value 0 is in the range μ1 – μ2 so it can be said to be valid. This states that the total time in the real situation (real system) is not significantly different from the output results in the Arena simulation that has been created.