Work place: Information Technology of Department, Pekanbaru,28265 Indonesia
E-mail: warnia@pcr.ac.id
Website:
Research Interests: Computational Science and Engineering, Autonomic Computing, Data Structures and Algorithms
Biography
Warnia Nengsih is a senior lecturer. Active in activities related to data science. The focus of research and publications in the field of soft computing and data engineering. Training and certification related to this field.
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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