Track: Human Factors and Ergonomics Competition

Abstract

Managing workload for Industrial Engineering (IE) students could be a challenge that affects their academic performance and overall well-being. Nevertheless, unmanaged student workloads can lead to burnout. Therefore, this study aimed to measure the students’ burnout level through various validated surveys, and to analyze the collected data to determine the burnout prevalence among IE students, also investigate the correlation between burnout and engagement levels, with the aim of understanding the relationship between these two critical factors. An online survey was conducted to undergraduate IE students (63 from Universitas Atma Jaya Yogyakarta, Indonesia and 53 from Bulacan State University, Philippines), that agree to follow all procedures. The survey collected demographic variables, MBIS-S, and UWES-S questions. As the result of correlation test, study engagement level is moderately correlated with emotional exhaustion (r=-0.407; p-value <.05), low correlated with depersonalization (r=-0.327; p-value <.05), highly correlated with academic efficacy decline (r=-0.639; p-value <.05), and moderately correlated with overall burnout index (r=-0.556; p-value <.05). There are significant effects of batch to emotional exhaustion, study place to depersonalization and academic efficacy (p-value <.05). By more detailed assessment, was found that IE students' efforts to engage with the academic process may help minimize the occurrence of academic burnout.