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

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)

Journal Research of Social Science, Economics, and Management
Vol. 2 No. 4 (2022): Journal Research of Social Science, Economics, and Management

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.