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

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Framework of Mobile Game Design as an Assistive Technology for Children with Motor Disabilities Melyani, Melyani; Heryadi, Yaya; Trisetyarso, Agung; Abbas, Bachtiar Saleh; Suparta, Wayan; Gaol, Ford Lumban
Journal of Games, Game Art, and Gamification Vol. 4 No. 1 (2019)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/jggag.v4i1.7460

Abstract

Computer games have emerged in the past decade as potential media beyond entertainment. Despite its popularity, game accessibility remains a major concern of various researchers. Children population with motor disabilities is a potential target for developing entertainment or therapeutic support games due to their interest to play. This paper presents: (1) a framework for mobile games for children with motor disability using simple hand postures and (2) Xgboost decision tree as a hand posture recognizer (98.48 percent training accuracy and 96.76 percent testing accuracy) as a prototype of hand posture-based commands as assistive technology to interact with games.
Predicting the Effect of Violent Gameplaying to Violent Behavior Intention among Females using Tree Regression and AdaBoost Tree Regression Maniah, Maniah; Heryadi, Yaya; Trisetyarso, Agung; Abbas, Bachtiar Saleh; Suparta, Wayan; Gaol, Ford Lumban
Journal of Games, Game Art, and Gamification Vol. 4 No. 2 (2019)
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.
Gamification Framework for Programming Course in Higher Education Winanti, Winanti; Abbas, Bachtiar Saleh; Suparta, Wayan; Heryadi, Yaya; Gaol, Ford Lumban
Journal of Games, Game Art, and Gamification Vol. 5 No. 2 (2020)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/jggag.v5i2.7479

Abstract

This paper presents a gamification framework for higher education, especially for programming language courses to increase user motivation, pleasure and satisfaction so that learning objectives can be achieved. Although student and lecturer motivation, pleasure, and satisfaction tend to increase compared to conventional techniques, gamification is not a panacea. The success of its application depends on the skill of the lecturer in choosing a game mechanic to give a sense of playing to the learning process in a more interesting way. The technique is done by dividing the class into two parts where one class uses the conventional method and one class uses the gamification method and the results will be evaluated through the assessment results before using the gamification method and after using the gamification method. The framework in this paper adds to the existing framework activities, namely adding in the field of baseline analysis, learning materials and tools used in gamification, where previous papers from three activities have not been discussed in detail. The results obtained turned out that using the gamification technique of student learning outcomes on average 15 to 25 better than using conventional techniques.
Comparison of Xbox One and Steam Joystick-based Operating System User Interface using KLM- GOMS Sudirman, Dodick Zulaimi; Heryadi, Yaya; Warnars, Harco Leslie Hendric Spits; Soewito, Benfano; Gaol, Ford Lumban; Abdurachman, Edi
Journal of Games, Game Art, and Gamification Vol. 5 No. 2 (2020)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/jggag.v5i2.7480

Abstract

Despite having many advances in video game control such as voice or gesture control, most video game console manufacturers still use a joystick as the main control for their console. Currently, the problem with video game manufacturers is that instead of using the joystick as the point of user interface design, they instead used a design from another device such as a computer or tv. The research will compare Xbox One and Steam OS user interface by using KLM-GOMS Model. Based on the calculation it is concluded that the overall Xbox One has a more efficient design compared to Steam.
Co-Authors Abbas, Bachtiar Saleh Agung Trisetyarso, Agung Benfano Soewito Edi Abdurachman Ford Lumban Gaol, Ford Lumban James, Michael Maniah, Maniah Melyani Melyani, Melyani Sudirman, Dodick Zulaimi Warnars, Harco Leslie Hendric Spits Wayan Suparta WINANTI, WINANTI