Fuzzy Logic based Decision Support Model for Determining the Subject of Online Course Materials

ABSTRACT

This research started by the very urgent condition of future knowledge. Since the Corona Virus Disease-19 pandemic, the world economy has started to plummet and affected many adults to lose their jobs. Also, numerous new habits called “new normal” have been created since the pandemic. In 2020, the number of unemployed people increased significantly. This reason makes people strive to improve their ability to meet job requirements by taking online courses. The way people choose what topics to follow and what materials the service providers will offer academically discussed in this study. The novelty of this research is to obtain a decision support model (DSM) using fuzzy logic method for determining online courses. The fuzzy logic process started by determining the decision parameters, and then the main process performed (i.e. fuzzification, fuzzy inference process, and defuzzification). The crisp output value is used as the final decision (decision value). In the constructed model, there are two groups of parameters;company profits which consist of 5 parameters and user benefits which consist of 9 parameters. Finally, the created model evaluated technically, and the final decision is useful for practical and theoretical implications such as users in choosing online courses and for the decision unit maker of companies in determining online course materials. © 2022, Success Culture Press. All rights reserved.