Perdy Karuru
Universitas Kristen Indonesia Toraja, Toraja, Indonesia

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Decision Support Systems in Education: A Revolutionary Approach to Teaching and Learning Perdy Karuru; S Suwarni; Kundharu Saddhono
AL-ISHLAH: Jurnal Pendidikan Vol 15, No 4 (2023): AL-ISHLAH: JURNAL PENDIDIKAN
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v15i4.4360

Abstract

This research investigates how a method known as Simple Additive Weighting (SAW), which is a tool for making decisions based on multiple criteria, might be utilized in the field of education. The goal is to determine the most effective techniques for enhancing the educational process based on a variety of variables, such as student performance, the efficacy of teachers, the relevance of the curriculum, the allocation of resources, and student participation. According to the findings, the solutions that are most likely to be chosen include introducing more interactive teaching methods as well as instituting a school-wide gamification system. However, some limitations of the SAW technique have been recognized. These shortcomings include the method's assumption of the independence of criteria and its sensitivity to weight assignments. The paper's authors concluded by giving suggestions for future research topics. These include the investigation of the impact different weight assignments have on the findings obtained by using the SAW approach, as well as the exploration of other decision-making systems. This research is an important contribution to the expanding body of knowledge on the application of decision-support systems in education and offers insightful information that can be helpful to teachers, school administrators, and policymakers.
A Decision Support System for Personalized Learning in Higher Education Lusy Tunik Muharlisiani; Widyatmike Gede Mulawarman; R Rugaiyah; Siti Nur Azizah; Perdy Karuru
AL-ISHLAH: Jurnal Pendidikan Vol 15, No 4 (2023): AL-ISHLAH: JURNAL PENDIDIKAN
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v15i4.4110

Abstract

This research presents a Decision Support System (DSS) designed to facilitate personalized learning in higher education. Utilizing the Best Worst Method (BWM), a popular Multi-Criteria Decision-Making (MCDM) technique, the study evaluated various learning strategies against set criteria based on the preferences and priorities of educators at University X. The results revealed One-on-One Tutoring as the most preferred method for personalized learning, followed by technology-enabled strategies such as Online Self-paced Courses and Adaptive Learning Software. These findings provide critical insights into the relative importance of different learning strategies, contributing to the development of a DSS capable of recommending the most suitable approaches for personalized learning. The implementation of such a system has been proposed as a means to augment decision-making processes within educational environments and potentially yield positive impacts on academic achievement. It is advisable to conduct additional research to authenticate these findings in various educational settings and investigate prospects for integrating empirical data into the process of decision-making.