Estimated Costs for Single Tuition Fee (STF) using Naïve Bayes Method Juhriyansyah Dalle 1 a , Dwi Hastuti 2 b , Taufik Rahman 1 c , A. Akrim 3 d , Sri Erliani 4 e , Taufik Hidayat 5 f , Siska Devina 4 g , Agustina Lestari 6 h , B. Baharuddin 7 i , Hesti Fibriasari 8 j , Akhmad Murjani 4 k , Erika Lismayani 9 l , Ahmad Yusuf 10 m and Candra Kusuma Negara 6 n 1 Department of Information Technology, Universitas Lambung Mangkurat, Jl. H. Hasan Basry, Banjarmasin, Indonesia 2 Department of Electrical Engineering, Universtias PGRI Adi Buana, Jl. Ngagel Dadi III No.3B/37, Surabaya, Indonesia 3 Department of Higher Education Management, Universitas Muhammadiyah Sumatera Utara, Jl. Kapten Muchtar Basri No.3, Medan, Indonesia 4 Department of Public Health, Universitas Cahaya Bangsa, Jl. A. Yani Km. 17, Banjarmasin, Indonesia 5 Department of Management, Universitas Cahaya Bangsa, Jl. A. Yani Km. 17, Banjarmasin, Indonesia 6 Department of Nursing Sciences, Universitas Cahaya Bangsa, Jl. A. Yani Km. 17, Banjarmasin, Indonesia 7 Department of Electrical Engineering Education, Universtias Negeri Medan, Jl. Wiliem Iskandar Pasar V, Medan, Indonesia 8 Department of French Education, Universtias Negeri Medan, Jl. Wiliem Iskandar Pasar V, Medan, Indonesia 9 Department of Law, Universitas Cahaya Bangsa, PSDKU, Jl. Pemuda, Kuala Kapuas, Indonesia 10 Department of Information Technology, Universitas Cahaya Bangsa, , Jl. A. Yani Km. 17, Banjarmasin, Indonesia baharuddin.bah, akhmad.murjani9, erikalismayani30}@gmail.com, akrim@umsu.ac.id, hesti@unimed.ac.id, ahmadyusuf23.ay@gmail.com, candra14780@yahoo.com Keywords: Decision Support System, STF, Naïve Bayes. Abstract: The difference in the amount of single tuition fee (STF) paid by students with middle and upper economic backgrounds causes an injustice gap. This is partly due to the instability of the system used, especially in terms of STF determination methods. Other additional shortcomings include the criteria entered the system that is still not enough to be considered in determining STF. Therefore, this study aims to build a web based STF payment system using the Naïve Bayes, probability, and statistical methods for students to determine the cost of an institution's tuition fee easily. System testing is carried out by comparing the output and verification results. This showed that the estimated determination of the cost of STF payments is suitable, with 83.3%. a https://orcid.org/0000-0000-5700-2766 b https://orcid.org/0000-0001-8716-7062 c https://orcid.org/0000-0002-5653-2298 d https://orcid.org/0000-0002-3984-9242 e https://orcid.org/0000-0002-0662-3175 f https://orcid.org/0000-0001-9659-4890 g https://orcid.org/0000-0002-0075-6911 h https://orcid.org/0000-0003-1180-9625 i https://orcid.org/0000-0001-8334-3030 j https://orcid.org/0000-0002-8009-4603 k https://orcid.org/0000-0002-1162-2660 l https://orcid.org/0000-0002-7963-4852 m https://orcid.org/0000-0003-2383-9944 n https://orcid.org/0000-0002-9831-7465 280 Dalle, J., Hastuti, D., Rahman, T., Akrim, A., Erliani, S., Hidayat, T., Devina, S., Lestari, A., Baharuddin, B., Fibriasari, H., Murjani, A., Lismayani, E., Yusuf, A. and Negara, C. Estimated Costs for Single Tuition Fee (STF) using Naïve Bayes Method. DOI: 10.5220/0010476702800289 In Proceedings of the 23rd International Conference on Enterprise Information Systems (ICEIS 2021) - Volume 1, pages 280-289 ISBN: 978-989-758-509-8 Copyright c  2021 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved