DECISION SUPPORT SYSTEM FOR CHOOSING MAJOR CONCENTRATION USING NAIVE BAYES TECHNIQUES Olivia Eunike Selvie Liando (a)*, Verry Ronny Palilingan (b), Alfrina Mewengkang (c), Sutrisman Sulaeman (d)
a, b, c, d Universitas Negeri Manado
Abstract
The purpose of this study is to produce an application for choosing a major concentration in the Information and Communication Technology Education study program using the Naive Bayes technique to assist 4th semester students in choosing a major concentration based on course scores. The research method used in this research is the RAD method made with 3 stages of development, namely Requirements Planning, Design Workshop, and Implementation. The result of the research shows that the application of the concentration selection of majors uses the Naive Bayes technique. The test results on applications made using black box testing from students and media expert testing from lecturers, from the black box testing, all application functions are functioning properly, and produce recommendations for concentration of majors with the Naive Bayes technique.
Keywords: Decision Support System, Major Concentration, Naive Bayes.
Topic: Opportunities and Challenges for Future Teachers
