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International Journal of Computer Games Technology
Volume 2013, Article ID 851287, 12 pages
Research Article

Petri Net Model for Serious Games Based on Motivation Behavior Classification

1Multimedia Studies Program, Public Vocational High School 1, Jl. Tongkol No. 03, Jawa Timur, Bangil 67153, Indonesia
2Department of Information, STMIK Yadika, Jl. Bader No. 7, Kalirejo, Jawa Timur, Bangil 67153, Indonesia
3Electrical Department, Faculty of Industrial Technology, Institut Teknologi Sepuluh Nopember, Kampus ITS Keputih, Sukolilo, Jawa Timur, Surabaya 60111, Indonesia

Received 29 November 2012; Accepted 30 January 2013

Academic Editor: Hanqiu Sun

Copyright © 2013 Moh. Aries Syufagi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Petri nets are graphical and mathematical tool for modeling, analyzing, and designing discrete event applicable to many systems. They can be applied to game design too, especially to design serous game. This paper describes an alternative approach to the modeling of serious game systems and classification of motivation behavior with Petri nets. To assess the motivation level of player ability, this research aims at Motivation Behavior Game (MBG). MBG improves this motivation concept to monitor how players interact with the game. This modeling employs Learning Vector Quantization (LVQ) for optimizing the motivation behavior input classification of the player. MBG may provide information when a player needs help or when he wants a formidable challenge. The game will provide the appropriate tasks according to players’ ability. MBG will help balance the emotions of players, so players do not get bored and frustrated. Players have a high interest to finish the game if the players are emotionally stable. Interest of the players strongly supports the procedural learning in a serious game.