Track: Decision Sciences

Abstract

During the Covid-19 pandemic, where the teaching process is carried out online, adaptive learning can be an alternative choice in distance learning due to different conditions of each student with various learning instruments. Despite the many advantages of implementing adaptive learning in online learning and using digital materials, many teachers and students are not prepared for this sudden change. Not all teachers feel ready to make adjustments in carrying out distance learning and helping students optimally as when teaching directly in class. As a result, many students may find online learning materials too simple, or even very complicated. This of course results in treatment that is not in accordance with their needs so that learning outcomes are less than optimal. One solution to this problem is the use of IT-based learning technology which refers to the adaptive learning method. A decision support system (DSS) is built by applying the Simple Additive Weight (SAW) algorithm. From this, the teacher can obtain an overview related to the condition of the students as well as recommendations for treatment according to their condition. The system was tested in the distance learning process in the Informatics Education study program at Universitas Sebelas Maret.