Muhammad Mahrus Zain

Work place: Information Technology of Department, Pekanbaru,28265 Indonesia

E-mail: mahrus@pcr.ac.id

Website:

Research Interests: Autonomic Computing, Computing Platform, Mathematics of Computing

Biography

Muhammad Mahrus Zain is a junior lecture. He is a data scientist, a research focus in the data engineering area. Involved in several soft computing and IT projects

Author Articles
Descriptive Modeling Uses K-Means Clustering for Employee Presence Mapping

By Warnia Nengsih Muhammad Mahrus Zain

DOI: https://doi.org/10.5815/ijieeb.2020.04.02, Pub. Date: 8 Aug. 2020

Human resource is valuable asset for an agency. The success of an institution is not only determined by the quality of its human resources, but also by the level of discipline. The discipline of an employee in an institution can be seen and measured by the level of attendance in doing a job, because the level of attendance is one of the factors that determine productivity. The current problem is the management level of the company that has difficulty in monitoring and controlling the employee attendance data. There needs to be a mapping and grouping to find out patterns of absence. Mapping or patterns that are obtained help management levels to monitor employees, take approaches and take action so as to improve employee discipline. In this study, it was used descriptive modeling with the implementation of the k-means clustering method. The results of the mapping obtained help the management level in controlling and monitoring as a reference for the next policy maker.

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