Implementing Neural Network on Data Mining To Predicting Key Performance Index From Employee

Authors

  • Albert Yakobus Chandra Department of Information System, Faculty of Information Technology Universitas Mercu Buana Yogyakarta Indonesia
  • Putri Taqwa Prasetyaningrum Department of Information System, Faculty of Information Technology Universitas Mercu Buana Yogyakarta Indonesia
  • Irfan Pratama Department of Information System, Faculty of Information Technology Universitas Mercu Buana Yogyakarta Indonesia

DOI:

https://doi.org/10.59141/jrssem.v2i04.313

Keywords:

data mining; key performance index; neural network.

Abstract

Employee performance could help the company success to achieve its goals. In this era predicting employee performance is a necessity for companies to gain success. In this research, we presented a prediction of the employee performance index using a neural network. In this study, we are using the Cross-industry standard process for data mining (CRISP-DM) as the base framework for the data mining phase. The neural network classification method is employed to create the prediction model. The result shows that using a neural network could get a confusion matrix at 97.777 percent. This model was then applied to get insight from the performance index that showed a couple of factors is has an important role in employee performance.

 

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Published

2022-11-25

How to Cite

Chandra, A. Y., Prasetyaningrum, P. T. ., & Pratama, I. . (2022). Implementing Neural Network on Data Mining To Predicting Key Performance Index From Employee. Journal Research of Social Science, Economics, and Management, 2(4), 555 –. https://doi.org/10.59141/jrssem.v2i04.313