This study aims to find out the effect of using big data analytics on the detection of academic fraud so that it can provide improvements and create significant changes, especially in reducing the level of academic fraud among students. The variables used in this research are big data analytics as the independent variable and academic fraud as the dependent variable. This study uses primary data obtained from ques-tionnaires distributed to Trilogy University students. The sample is 258 students from all study programs at Trilogy University class 2017 - 2020. The data processing and analysis method uses Partial Least Square (PLS). The results of this study indicate that the use of big data analytics has a positive and significant effect on the detection of academic fraud. This shows that universities that use big data analytics are able to detect academic fraud committed by students.

The Covid-19 pandemic that hit Indonesia has changed the pattern of the learning system from face-to-face in the classroom to online learning. In practice, the online learning system utilizes information technology, which raises not only effectiveness, but also new challenges. One of the challenges of the online learning system is the student cheating behavior. This study aims to determine the effect of the fraud diamond dimensions, which consist of pressure, opportunity, rationalization, and capability,and procrastination on the detection of student cheating behavior. This research is a quantitative research. The data used is primary data in the form of questionnaires. The respondents of this study are college students at LLDIKTI Region III DKI Jakarta. The data consists of 400 sample students. Data testing is carried out using STATA Version 14.2. The results of this study indicate that the fraud diamond dimensions consisting of pressure, opportunity, rationalization, and capability have a positive effect on the detection of student cheating behavior. Procrastination also has a positive effect on the detection of student cheating behavior.