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Kharisma, Razendra Bintang
Universitas Islam Negeri Sunan Kalijaga
Computer Science & IT

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The Mapping of Access Point Workloads at UIN Sunan Kalijaga Based on Log Analysis using K-Means Algorithm Kharisma, Razendra Bintang; Yazid, Ahmad Subhan
IJID (International Journal on Informatics for Development) Vol 6, No 1 (2017): IJID June
Publisher : Universitas Islam Negeri Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2017.06105

Abstract

This study aims to map the use of access points based on the log of usage in several locations in the UIN Sunan Kalijaga. The analyzed data are access point records taken three times a day for one week working hours. The data obtained was processed and clustered using the K-Means algorithm. There are five clusters obtained from the processed data, each of which divides the number of access loads from an access point. The results of clustering provide a recommendation on which locations need to be added to access points that it can improve institutional userservices.
Co-Authors Ahmad Subhan Yazid