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All Journal JOIV : International Journal on Informatics Visualization
Noor Azah Samsudin
Universiti Tun Hussein Onn Malaysia, Johor, Malaysia
Computer Science & IT

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Classification of Alcohol Consumption among Secondary School Students Shamala Palaniappan; Norhamreeza A Hameed; Aida Mustapha; Noor Azah Samsudin
JOIV : International Journal on Informatics Visualization Vol 1, No 4-2 (2017): The Advancement of System and Applications
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (650.68 KB) | DOI: 10.30630/joiv.1.4-2.64

Abstract

In 2016, the National Institute of Health reported that 26% of 8th graders, 47% of 10th graders, and 64% of 12th graders have all had experience in consuming alcoholic drinks. This finding indicates an accelerating trend in alcohol use among school students, hence a growing concerns among the public. To address this issue, this paper is set to model the alcohol consumption data among the secondary school students and attempt to predict the alcohol consumption behaviors among them. A set of classification experiments are carried out and the classification accuracies are compared between two variations of neural network algorithms; a self-tuning multilayer perceptron classifier (AutoMLP) against the standard MLP using the student alcohol consumption dataset. It is found that AutoMLP produced better accuracy of 64.54% than neural network with 61.78%.
Co-Authors Aida Mustapha Norhamreeza A Hameed Shamala Palaniappan