Search for collections on Repository PCR

Descriptive Modeling Uses K-Means Clustering for Employee Presence Mapping

Sikumbang, Warnia Nengsih (2020) Descriptive Modeling Uses K-Means Clustering for Employee Presence Mapping. International Journal Information Engineering and Electronic Business, 12 (4): 4. pp. 15-20. ISSN 2074-9031

[thumbnail of [IJIEEB]Paper_Asli.pdf] Text
[IJIEEB]Paper_Asli.pdf

Download (741kB)

Abstract

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 kmeans clustering method. The results of the mapping obtained help the management level in controlling and monitoring as a reference for the next policy maker

Item Type: Article
Subjects: Q Science > Q Science (General)
Divisions: Jurusan Teknologi Informasi > Program Studi Sistem Informasi
Depositing User: Warnia Nengsih
Date Deposited: 18 Jan 2022 03:18
Last Modified: 18 Jan 2022 03:18
URI: http://eprints.pcr.ac.id/id/eprint/26

Actions (login required)

View Item
View Item