Title: Decision tree classifier for university single rate tuition fee system

Authors: Taufik Fuadi Abidin; Samsul Rizal; Teuku Mohamad Iqbalsyah; Rizal Wahyudi

Addresses: Department of Informatics, Syiah Kuala University, Banda Aceh, Indonesia ' Department of Mechanical Engineering, Syiah Kuala University, Banda Aceh, Indonesia ' Department of Chemistry, Syiah Kuala University, Banda Aceh, Indonesia ' ICT Implementation Unit, Syiah Kuala University, Banda Aceh, Indonesia

Abstract: The regulation about single rate tuition fee for undergraduate study at state universities in Indonesia was enacted in 2013. The tuition fee is calculated based on the needs of each academic program and the regional cost index. The fee is grouped into several categories and set differently for each university. For Syiah Kuala University, located in Banda Aceh, Indonesia, the tuition fee is grouped into five different categories. This paper describes the construction of J48 decision tree classifier and evaluates its performance during training and testing phases when compared to ID3 and Naive Bayes classifiers to determine the category. The results show that the J48 decision tree classifier outperforms the other two classifiers in both phases. In the training phase, the F-measure and ROC for the J48 decision tree classifier are 0.889 and 0.973, respectively, and in the testing phase, the F-measure and ROC are 0.911 and 0.987, respectively.

Keywords: decision tree classifier; multi-class classification; university single rate tuition fee system.

DOI: 10.1504/IJBIDM.2020.108764

International Journal of Business Intelligence and Data Mining, 2020 Vol.17 No.2, pp.258 - 271

Received: 05 Oct 2017
Accepted: 22 Dec 2017

Published online: 08 Apr 2020 *

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