Naïve Bayes Method to Determine Learning Specialization for New Students

Abstract

Abstract In life, a person is often confronted with several choices and is required to be able to choose from those choices. One example is the selection of Major’s specialization. There are several campuses or universities in Indonesia that require students to choose the type of specialization or concentration before starting their first lecture, such as the Postgraduate Program at Universitas Atma Jaya Yogyakarta. Naive Bayes method is one of the probability methods used to predict the likelihood that will occur in the future by using previous data. The purpose of this study is to use the Naive Bayes method to make a recommendation based on the attributes that have been determined. The method used in this research is: data collection using qualitative methods and distributing questionnaires to parties related to this research. As for the points of the questions in the questionnaire are (1) the previous department, (2) the final score of the cumulative achievement index, (3) interest in the field, (4) individual ability, (5) certain subject values, (6) concentration chosen, and (7) the level of suitability of concentration selection. This study uses a sample data of 25 Postgraduate students of Magister Teknik Informatika at Universitas Atma Jaya Yogyakarta. The results of this study are a recommendation for the selection of majors at the Postgraduate Department of Universitas Atma Jaya Yogyakarta.