The Mapping of Access Point Workloads at UIN Sunan Kalijaga Based on Log Analysis using K-Means Algorithm
Abstract
Abstract— This study aims to map the use of access points basedon the log of usage in several locations in the UIN Sunan Kalijaga.The analyzed data are access point records taken three times a dayfor one week working hours. The data obtained was processed andclustered using the K-Means algorithm. There are five clustersobtained from the processed data, each of which divides thenumber of access loads from an access point. The results ofclustering provide a recommendation on which locations need tobe added to access points that it can improve institutional userservices. Keywords: Access loads, Cluster, K-means, Log, Number ofusers.
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