Knowledge Data Discovery (Frequent Pattern Growth): The Association Rules for Evergreen Activities on Computer Monitoring

Authors: Fauzan Asrin, Saide Saide

Abstract: 

The aim of this research paper is to construct a set of guidelines that can improve the quality and efficiency of knowledge data discovery process by utilizing various types of knowledge domains. In addition, this paper offered the way of how the knowledge domain could be adopted for helping the system developer. The methodologies contain various scenarios of data exploring and the authors used data mining approach. The paper shows evidence of important to adopt data mining methods in the industry sector as well as the advantages and disadvantages. Evergreen human machine interface (HMI) at PT. Chevron Pacific Indonesia (CPI) is kind of activities to maintenance computer equipment. Nowadays, the errors were frequently happened in the accuracy of computer maintenance which has a profound effect on production results. Therefore, this study focuses on the rules of association using the frequent pattern growth algorithm (FP-growth) which is producing knowledge with trust value of 100% and a support value is 95%. The value results of support and confidence are the new approach and knowledge for the management level to decide decisions in the evergreen activities process.

Full article: https://link.springer.com/chapter/10.1007/978-3-030-51156-2_93

Saide Saide received the bachelor’s degree with the Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau, Indonesia, in 2013, the master’s degree from the Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, in 2016, and the master’s degree from the Departmentof Information System, Sepuluh Nopember Instituteof Technology (ITS Surabaya), Surabaya, Indonesia, in 2016, all in information systems and knowledge management. He is currently a Lecturer with the Department of Information System, Facultyof Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau - UIN SUSKA Riau. He was a Visiting Scholar and Research Collaboration withTampere University, Finland, a Researcher with the Department of Information Management, National Taiwan University of Science and Technology, a Project Management with EnReach - Energy Research Center, UIN SUSKA Riau, Indonesia. He has authored numerous articles published in SSCI/SCI journals such as Big Data, Technology Analysis & Strategic Management, IEEE Transactions on Engineering Management, and Journal of Enterprise Information Management, International Journal of Innovation Management, Journal of Science and Technology Policy Management, and International Journal of Business and Society. His research interests include knowledge management, information system, and IT-business strategy.