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Chowanda, Andry
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Computer Science & IT Engineering Mathematics

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Tap For Battle: Perancangan Casual Game Pada Smartphone Android Chowanda, Andry; Prabowo, Benard H.; Iglesias, Glen; Diansari, Marsella
ComTech: Computer, Mathematics and Engineering Applications Vol 5, No 2 (2014): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v5i2.2187

Abstract

Smartphones have become a necessity. Almost everyone uses a smartphone in a variety of activities. Both young and old are sure to utilize this technology, for a wide range of activities such as doing the work, doing school work or enjoying entertainment. The purpose of this research is to build a casual-action game with war theme. The game is built for Android smartphone that has multi touch screen capability. The research methods used in this research are data collection and analysis method including user analysis with questionnaire. Furthermore, IMSDD method is implemented for game design and development phase including system requirement analysis, system design, system implementation, finally system evaluation. In this research, we conclude that 83.9% participants enjoyed the game with touch-screen as the game control.
The Development of Indoor Object Recognition Tool for People with Low Vision and Blindness Sutoyo, Rhio; Chowanda, Andry
ComTech: Computer, Mathematics and Engineering Applications Vol 8, No 2 (2017): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v8i2.3763

Abstract

The purpose of this research was to develop methods and algorithms that could be applied as the underlying base for developing an object recognition tools. The method implemented in this research was initial problem identification, methods and algorithms testing and development, image database modeling, system development, and training and testing. As a result, the system can perform with 93,46% of accuracy for indoor object recognition. Even though the system achieves relatively high accuracy in recognizing objects, it is still limited to a single object detection and not able to recognize the object in real time.
Co-Authors Diansari, Marsella Iglesias, Glen Prabowo, Benard H. SATRIYAS ILYAS