2 Papers
M. Jupri is an academic researcher from Sepuluh Nopember Institute of Technology. The author has contributed to research in topics: Taxpayer & Computer science. The author has an hindex of 2, co-authored 2 publications.
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Papers
Taxpayer compliance classification using C4.5, SVM, KNN, Naive Bayes and MLP
M. Jupri,Riyanarto Sarno +1 more
- 01 Mar 2018
TL;DR: This research uses the classification algorithm C4.5, SVM (Support Vector Machine), KNN (K-Nearest Neighbor), Naive Bayes and MLP (Multilayer Perceptron) to classify the level of taxpayer compliance with four goals that are corporate taxpayers comply formally and materially required.
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Data mining, fuzzy AHP and TOPSIS for optimizing taxpayer supervision
M. Jupri,Riyanarto Sarno +1 more
TL;DR: This paper proposes the classification of taxpayer compliance using data mining algorithms; i.e. C4.5, Support Vector Machine, K-Nearest Neighbor, Naive Bayes, and Multilayer Perceptron based on the compliance of taxpayer data.