Assessing Employee Performance in the Information Technology Department Using K-Means Clustering: A Case Study Approach

Autor:	Afelia Jozalin Elisa Sakalessy, Hindriyanto Dwi Purnomo
Jazyk:	English<br />Indonesian
Rok vydání:	2024
Předmět:	k-means method employee performance data analysis human resource management performance evaluation company Mathematics QA1-939 Electronic computers. Computer science QA75.5-76.95
Zdroj:	Journal of Information Systems and Informatics, Vol 6, Iss 1, Pp 170-186 (2024)
Druh dokumentu:	article
ISSN:	2656-5935 2656-4882
DOI:	10.51519/journalisi.v6i1.653
Popis:	This research explores the utilization of the K-Means method for evaluating the performance of employees within the Information Technology Department at PT Nusa Halmahera Minerals. The research leverages data from Manage Engine to analyze diverse parameters of employee performance. By employing the K-Means method, employees are categorized based on specific characteristics, facilitating a deeper understanding of each individual's contribution and potential in attaining company objectives. The implementation of the K-Means method aims to offer a more objective perspective on employee performance, empowering companies to make informed decisions in the enhancement and development of their human resources.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/bbddfb6f185441ddb0d359c28e504156 Zobrazit plný text záznamu View record in DOAJ