The COVID-19 pandemic has affected a person's habits, especially when it comes to online shopping. This situation has increased the need for goods delivery services. Therefore, extra assistance is needed for goods delivery activities which require couriers to prioritize the accuracy and speed of delivery time to each customer location. Selection of the correct route is one of the main factors. Demand becomes a benchmark, but other limitations such as working hours and load capacity need to be considered. This study proposes the Simulated Annealing (SA) algorithm to regulate the working hours, referred to as delivery time, required by couriers to aim for equality of the workloads. From these calculations, the results show that the SA can be used in determining the optimal route with a reduction in the gap reaching 3.78 % of the expected working hours. There are 26 couriers assigned for 52 routes formed from the Simulated Annealing (SA). Therefore, 26 couriers can distribute all of the goods. All destination points have been handled correctly, with an average working hour of 7.7 hours, closer to the expected total delivery time of eight hours.