Agung Trisetyarso
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Framework of Mobile Game Design as an Assistive Technology for Children with Motor Disabilities Melyani Melyani; Yaya Heryadi; Agung Trisetyarso; Bachtiar Saleh Abbas; Wayan Suparta; Ford Lumban Gaol
Journal of Games, Game Art, and Gamification Vol. 4 No. 1 (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.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.
Gamification of Decentralized Ledger for Credit Card Application using Blockchain Rohmat Taufiq; Agung Trisetyarso; Wayan Suparta; Bachtiar Saleh Abbas
Journal of Games, Game Art, and Gamification Vol. 4 No. 1 (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.v4i1.7461

Abstract

We propose a credit card application using blockchain to improve the approval, transparency and security process. Some studies explain the use of blockchain technology in credit card applications but have not described the concept and architecture. Therefore, this study describes and describes the architecture of using credit cards for credit card applications. The motivation of this research is to explain the implementation of blockchain technology, especially the decentralization process of ledgers in credit card applications. Next, we propose architecture and algorithms for credit card applications using blockchain. The conclusion in this study is a decentralized ledger for credit card applications that allows peer-to-peer transactions, decentralized credit card applications that are not bound by geographical boundaries, have two advantages for debtors and the banking industry. In addition, the architecture is made using a credit card for application credit cards and an explanation of how the architecture works.
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.