Wahyu, M and Munaji, Achmad Arif and Halim, Robby Alphonsus and Santoso, Albertus Joko (2020) Naïve Bayes Method to Determine Learning Specialization for New Students. In: The 2nd 2019 ICERA: International Conference on Electronics Representation and Algorithm "Innovation and Transformation for Best Practices in Global Community" 12-13 December 2019, Yogyakarta, Indonesia. Journal of Physics: Conference Series, Yogyakarta, pp. 1-6.

Text (M Wahyu, A A Munaji, R A Halim, and A J Santoso)
28. Naïve Bayes Method to Determine Learning Specialization for New Students.pdf

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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
.

Item Type: Book Section
Subjects: Magister Teknik Informatika > Enterprise Inf System
Divisions: Pasca Sarjana > Magister Teknik Informatika
Date Deposited: 01 Apr 2022 05:11
Last Modified: 01 Apr 2022 05:11
URI: https://repository.uajy.ac.id/id/eprint/26650

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