IMPLEMENTING NEURAL NETWORK ON DATA MINING TO PREDICTING KEY PERFORMANCE INDEX FROM EMPLOYEE

Chandra, Albert Yakobus and Prasetyaningrum, Putri Taqwa and Pratama, Irfan (2022) IMPLEMENTING NEURAL NETWORK ON DATA MINING TO PREDICTING KEY PERFORMANCE INDEX FROM EMPLOYEE. JRSSEM, 2 (4). ISSN issn2807 - 6311

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Abstract

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.
Keywords: data mining; key performance index; neural network

Item Type: Article
Subjects: A General Works > AC Collections. Series. Collected works
T Technology > T Technology (General)
Divisions: Fakultas Teknologi Informasi > Program Studi Sistem Informasi
Depositing User: Sistem Informasi UMBY
Date Deposited: 19 Dec 2022 08:50
Last Modified: 19 Dec 2022 08:50
URI: http://eprints.mercubuana-yogya.ac.id/id/eprint/17248

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