Model Artificial Intelligent in E-Learning Using Fuzzy Logic (Case Study Sasmoko.Com)

Model artificial intelligent in E-learning using fuzzy logic (Case Study Sasmoko.Com)

Abstract

The advancement of information technology has been maximally utilized in the world of education, especially in the learning process. One form is e-learning. In its development, e-learning has several problems when faced with the background and needs of students who take part in learning. These differences affect the effectiveness of learning because not all students have the same learning style. To over-come these problems, researchers tried to use fuzzy logic methods. Fuzzy logic is chosen to answer the uncertainty that occurs in learning subjective student characters. Therefore, the study was conducted on one e-learning website called sasmoko.com. The e-learning website is a research method course where students from various backgrounds and needs are used. In this study a model was proposed in as-sessing student characters on the sasmoko.com website. © 2018 Authors.

Keyword
Artificial intelligent, E-learning, Fuzzy logic
Research Type
Multi Years
Research Status
Completed Research
Funding Institution
Binus University
Source of Fund
Penelitian Internasional Binus