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 |
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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 |