No abstract

The spread of Covid-19 has influenced changes in human behavior and paradigm including in teaching and learning process. The teaching and learning process has now been replaced by E-Learning models which offer flexibility for both teachers and students. Current learning process can be accessed by students from different places and not necessarily gather in one room. However, this raises a new problem, namely the difficulty of tracking the scattered students when they return to campus. One way to overcome this problem is to use a big data approach combined with a virtual machine to recognize and detect these students. In this approach, the results of tracking students with server computer resources are up to 15% smaller than using non virtual machines. This is a new approach to data processing.