Modeling of Type-2 Fuzzy System in M-Learning Usage Behavior Based on Electricity Availability in Institut Teknologi Sepuluh Nopember Indonesia

Abstract

The Covid-19 pandemic outbreak since the beginning of 2020 until mid-2022, had an impact on changing activities in all fields. Mobile-learning as a medium for learning in higher education institutions in Indonesia, and it cannot be fully implemented in several universities. Apart from these diseases, m-learning is one of the challenges in the development of information and communication technology. The habit of using m-phone is one of supporting factors, but on the other hand the limitations of electrical needed is one of obstacles. In this paper, modeling of student behavior in using m-learning is done. Variables that influence in usage of m-learning (UbmL) are perceived usefulness (PU) and facility conditions (FC). The model in the fuzzy system is developed based on model adapted from Technology Acceptance Model (TAM). Modeling is done based on data of Engineering Physics (EP) students at Institut Teknologi Sepuluh Nopember (ITS) in online-learning activities. The data is pre-processed to analyze the correlation between the input and output of model. The data show that behavior of using m-learning is classified as frequent, and model is accepted. Furthermore, the model is developed in the form of fuzzy logic. The model is developed by determining the membership function in fuzzifier and defuzzifier. Both units are supported by set of fuzzy rules that are developed based on experts. The results of the analysis show that the PU and FC variables have a very strong correlation of R correlation of 0.821 and these two variables affect the UbmL of 66.8%.