SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI PEMILIHAN PROGRAM STUDI DI FAKULTAS TEKNIK UNIVERSITAS TANJUNGPURA

Abstract

Current educational needs are  increasing with the rising of community economic  rate. This causes high school students' interest are  also increasing to  continue their study to a higher  state. However, most of the students find it hard to  make a decision of which course is suitable for  them, so they are likely to choose it by considering  parents' or friends' suggestion without  understanding the course itself. The mistake in  choosing a course could lead to negative impacts of  their study, such as the longer school term they  should bear, or mostly, the lower grade point  average (GPA) they should face. This problem  happens to the upcoming Engineering students  too,  so it takes a decision support system (DSS) that is  able to provide recommendations by considering  their major in high school, the study results, as well  as their interest on choosing the courses in  Engineering Faculty. This system uses K-Nearest  Neighbor method, by comparing the data of new  students with the graduated students of Engineering  Faculty, so it can generate a course  recommendation, the length of the school term  prediction and also the prediction of their GPA.