Studies on the concept of e-learning continue to increase, this is allegedly due to the high number of users of e-learning. The concept of e-learning requires continuance intention, where the needs of future e-learning users depend on the interests of current users. Continuance intention in e-learning is inseparable from the success of the technology adaptation process for users. Because e-learning has the main support for its implementation, namely technology. The purpose of this research is to examine models that can increase the continuance intention and individual performance of students in e-learning at universities. The study was conducted by evaluating the factors capable of supporting students' continuance intention on the concept of e-learning. There are variables studied including e-learning quality, e-learning usefulness, and e-learning ef ectiveness. The research method used was a quantitative survey, with the survey being conducted on students who had previous experience with the concept of e-learning. It is targeted that there will be 500 students whose data is collected from online questionnaires, where these students are at universities in the city of Bandung (Indonesia). Research testing uses SmartPLS with two tests, namely PLS Algorithm and Bootstrapping Process. The model tested is in line with the hypothetical design and the model is evaluated in several stages including the fit model test, Inner test, Outer test, and hypothesis testing. This research has novelty, where the research model studied has never been done before. As well as having benefits for universities in dealing with student behavior on online platforms and in dealing with Industry 4.0 issues, through studies on e-learning.

E-Learning, Student, Continuance Intention, Individual Performance, University

• Doni Morika, S.T., M.Ds

• Boby Siswanto, S.T., M.T.

• Dr. Doni Purnama Alam Syah, S.Kom, MM