ANALISIS PERBANDINGAN HASIL PREDIKSI SISTEM PENDUKUNG KEPUTUSAN METODE SIMPLE ADDITIVE WEIGHTING DENGAN PREFERENCE SELECTION INDEX DALAM MENENTUKAN MAHASISWA PENERIMA BEASISWA

Abstract

Education assistance needs to be a concern because currently the majority of students have potential and ability but are constrained financially so this needs to be taken seriously by the government, currently, the government through the Ministry of Education has tried to provide financial assistance in the form of scholarships including achievement improvement scholarships. academic. Currently, to get a scholarship, each university certainly gets a limited quota. This is done in order to provide equal distribution of educational assistance, because there is a large difference between the quota obtained and the students who need assistance, so it is necessary to provide eligibility selection for students who are entitled to receive a scholarship. This research took sample data from the 2023 even semester scholarship list at Manado State University, especially in the Informatics Engineering Study Program, then normalized the data so that it could be used in the SAW and PSI methods, after normalization, calculations were then carried out using the SAW and PSI methods, after obtaining the results predictions from both methods, then the level of accuracy will be tested using the confusion matrix method, the result is that the SAW method has an accuracy level of 98.13% and then the PSI accuracy level is 97.24%. Based on the results of the prediction accuracy, SAW has a higher level of accuracy compared to PSI.