The amount of traffic used in the wifi network in UMY integrated campus makes the data as a sample of the traffic connected users on the network. This needs to be analyzed by traffic theory to improve user service. Seen from the sample data obtained that at 10:30 to 11:30 is the peak of rush hour of wifi network usage. As for the busiest day is on Tuesday, then the day with the user connected at least on Saturday. Once known from the reality condition of the wifi network, the increase of bandwidth can be arranged based on the recorded data.