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Authors: Juhriyansyah Dalle 1 ; Dwi Hastuti 2 ; Taufik Rahman 1 ; A. Akrim 3 ; Sri Erliani 4 ; Taufik Hidayat 5 ; Siska Devina 4 ; Agustina Lestari 6 ; B. Baharuddin 7 ; Hesti Fibriasari 8 ; Akhmad Murjani 4 ; Erika Lismayani 9 ; Ahmad Yusuf 10 and Candra Kusuma Negara 6

Affiliations: 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

Keyword(s): 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%.

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Paper citation in several formats:
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. (2021). Estimated Costs for Single Tuition Fee (STF) using Naïve Bayes Method. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-509-8; ISSN 2184-4992, SciTePress, pages 280-289. DOI: 10.5220/0010476702800289

@conference{iceis21,
author={Juhriyansyah Dalle. and Dwi Hastuti. and Taufik Rahman. and A. Akrim. and Sri Erliani. and Taufik Hidayat. and Siska Devina. and Agustina Lestari. and B. Baharuddin. and Hesti Fibriasari. and Akhmad Murjani. and Erika Lismayani. and Ahmad Yusuf. and Candra Kusuma Negara.},
title={Estimated Costs for Single Tuition Fee (STF) using Naïve Bayes Method},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2021},
pages={280-289},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010476702800289},
isbn={978-989-758-509-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Estimated Costs for Single Tuition Fee (STF) using Naïve Bayes Method
SN - 978-989-758-509-8
IS - 2184-4992
AU - Dalle, J.
AU - Hastuti, D.
AU - Rahman, T.
AU - Akrim, A.
AU - Erliani, S.
AU - Hidayat, T.
AU - Devina, S.
AU - Lestari, A.
AU - Baharuddin, B.
AU - Fibriasari, H.
AU - Murjani, A.
AU - Lismayani, E.
AU - Yusuf, A.
AU - Negara, C.
PY - 2021
SP - 280
EP - 289
DO - 10.5220/0010476702800289
PB - SciTePress

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