As information technology evolves, the use of applications containing information that can be accessed digitally in various sectors, especially in terms of monitoring. At PT. PLN (Persero) UP3 Bandengan in monitoring is still done
manually, namely by writing the event news paper and re-input to Ms.excel, as well as in terms of sorting customers replacement Kwh Meter according to the closest distance between locations has not been sorted by the nearest distance
of each customer's location. Based on the problem, a customer's Kwh Meter replacement monitoring application is required with the method applied, Ant Colony Optimization (ACO). This method is a method that can solve traveling
salesman problem (TSP) problem by looking for probability value. From the result of the probability calculation obtained the result of sorting the customer replacement Kwh Meter according to the nearest distance, so that later this
application is expected to help the work of employees and officers in monitoring the replacement of Kwh Meter customer