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All Journal Computatio : Journal of Computer Science and Information Systems
Jason Sunaryo
a:1:{s:5:"en_US";s:12:"Tarumanagara";}
Computer Science & IT

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Perbandingan Algoritma ANN, KNN dan Decision Tree untuk Klasifikasi Delay Airlines Jason Sunaryo; Teny Handhayani
Computatio : Journal of Computer Science and Information Systems Vol. 10 No. 1 (2026): Computatio: Journal of Computer Science and Information Systems
Publisher : Faculty of Information Technology, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/computatio.v10i1.29905

Abstract

As time progresses, transportation methods become more sophisticated. One of the commonly used modes of long-distance travel is by air travel. However, there are occasional challenges encountered, one of which is delays. Airlines delays not only inconvenience passengers but also incur losses for airlines due to increased operational costs. Therefore, there is a need to predict whether a flight will be delayed or not. This research aims to predict delays using three algorithms: ANN, Decision Tree, and KNN. The dataset utilized in this study consists of 539,383 records. The findings of this study indicate that the most suitable algorithm for this dataset is the Decision Tree algorithm, with an average accuracy of 62.5%.
Co-Authors Teny Handhayani