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All Journal JGGAG (Journal of Games, Game Art, and Gamification)
Maniah Maniah
Bina Nusantara University
Arts Computer Science & IT Other

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Predicting the Effect of Violent Gameplaying to Violent Behavior Intention among Females using Tree Regression and AdaBoost Tree Regression Maniah Maniah; Yaya Heryadi; Agung Trisetyarso; Bachtiar Saleh Abbas; Wayan Suparta; Ford Lumban Gaol
Journal of Games, Game Art, and Gamification Vol. 4 No. 2 (2019): Special Issue: International Conference of Games, Game Art and Gamification (IC
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/jggag.v4i2.7468

Abstract

The issue on the effect of violent video game to aggressive behavior has gained wide interest from various communities. This paper presents some results of predicting quantitative measure of aggressive behavior from variables that measure violent video game playing. Experiment results showed that Decision Tree Regression (DTR) and Adaptive Boosting Tree Regression (AB-DTR) models predicted aggressive behavior intentions with high accuracy. For predicting Hostile variable: DTR’s training and testing RMSE (0.0, 0.0); AB-DTR’s training and testing RMSE (0.08, 1.08). For predicting Instru variable: DTR’s training and testing RMSE (0.0, 2.18); AB-DTR’s training and testing RMSE (0.0, 3.30) respectively.
Co-Authors Agung Trisetyarso Bachtiar Saleh Abbas Ford Lumban Gaol Ford Lumban Gaol Wayan Suparta Yaya Heryadi