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All Journal Budapest International Research in Exact Sciences (BirEx Journal)
Nandi Priatna
Faculty of Computer Science, Universitas Subang, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Physics Transportation

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Implementation of Data Mining Technique for Performance of WFH and WFO Agents Using the K-Means Method Case Study Study of PT. Infomedia Telkom Consumer Profiling Services Jaja Jaja; Nandi Priatna; Tazkia Salsabila Ardan
Budapest International Research in Exact Sciences (BirEx) Journal Vol 3, No 2 (2021): Budapest International Research in Exact Sciences, April
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birex.v3i2.1810

Abstract

Outbound Call Center PT. Infomedia, consumer profiling service PT. Telkom during the pandemic period divided its agents into 80% WFH agents (Work at Home) and 20% agents WFO (Work from Office). For the division of the working mechanism, it is necessary to measure its performance. In the discussion of this paper, we will discuss the measurement with the application of data mining using the K-Means method, so it is hoped that it will provide an overview, how the cluster of each WFH or WFO agent in terms of performance. The results of this discussion indicate that there is a significant difference between the performance of WFH and WFO Agents.
Co-Authors Jaja Jaja Tazkia Salsabila Ardan