Authors:
Ameliana
and
Windarto
Affiliation:
Universitas Budi Luhur, Indonesia
Keyword(s):
Decision support systems, Weighted products, University selection, Counseling
Abstract:
Choosing a university for high school students is the main thing for them to continue their study to a higher level. Today there are many universities, both at domestic universities and overseas universities. Each university began to offers based on prices, level of accreditation, the choice of departments, up to the facilities at the University. With the increasing number of universities, more students will find it difficult to determine the university they would choose. This is because there are too many suggestions to determine certain university from other people, expensive tuition fees, and there are still many students who do not have a mature plan to continue their study to a higher level. Velocity International Inc. is a company engaged in the field of educational consulting. The company has services to help students who want to continue their education abroad, by providing consultations on universities abroad, especially in Australia. During the consultation period, the coun
selor will provide many university choices to students and explain one by one about the university that will be offered. After getting an explanation from the counselor, there are still many students who have difficulty in choosing the university recommended by the counselor. This is caused by information and recommendations given by the counselors to students are still not appropriate. With this problem, the solution that might be needed is to make a decision support system application that can help to provide conclusions in the form of recommendations so it can be used as references for students to decide which university to choose. In this study, the method which applied to a decision support system is the Weighted Product (WP) method. The criteria used in this study are cost, accommodation, major, and IELTS score, whereas each non-interdependent criterion will be evaluated to produce several alternative choices. The result of this study is the realization of a decision support system that is able to produce recommendations for university selection for students.
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