Comparative Analysis of OCRA and MAUT Method in Decision Support System for Determining Outstanding Students

Achieving students are students who have achieved high achievements, both curricular and co-curricular in accordance with the required criteria. At this time the data processing process for determining outstanding student candidates has used a manual system, allowing errors to occur in the process of processing outstanding student selection data. The value processing process takes a long time, especially in the determination process and ranking process. The decision support system is the right system to implement, because the decision support system can help determine which alternative to choose. The method used in this research uses the OCRA (Operational Competitiveness Rating Analysis) method and the MAUT (Multi Attribute Utility Theory) method. In this study, the criteria of GPA, written work, superior achievements/abilities, and English language skills are used. Every student has the same right to participate in the outstanding student selection program. Therefore, the selection of outstanding students should be carried out openly and transparently at the university level. However, this implementation can lead to a large number of applicants which can cause difficulties in managing data and values in determining outstanding students. The concept of a decision support system can be applied as a tool in determining outstanding students.