Work from Home Faculty Performance Evaluation Amid Pandemic using Mamdani Fuzzy System

The start of the Novel Coronavirus-19 pandemic lead many higher education institutions to instantly dive into online-teaching and had to shift daily tasks appropriate to the new normal. This brings challenges to faculty, especially those who are not well skilled in the use of the Internet. Another challenge is on the side of the management. Faculty starts to work from home and tasks are done remotely without any visual supervision. This paper presents a simple mechanism for monitoring the daily and weekly performances of the faculty amid the pandemic before online teaching, and the used Mamdani Fuzzy Inference System to evaluate the faculty performance while working from home. There are three relevant input variables and one output variable, each qualitative variables were converted to linguistics variables. Matlab software was used to develop the Inference System, Triangular Membership function (MF) was used all variables, and crisp output was obtained using the centroid defuzzification. The result of the study shows an effective mechanism in monitoring faculty during the pandemic that meets the requirement of the administration. The fuzzy approach improves the unfair rate and improves the quality of performance evaluation instead of the traditional method.