Comparison of the Effectiveness of Application Development on Android Operating System between Visual Programming of Game Engine on Unreal Engine and Java on Eclipse Program
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Abstract
Most developers use Java on Eclipse Program to develop mobile applications on Android operating system, which is difficult, complex and requires numerous programming codes in executing the application as desired. However, nowadays visual programming language of game engine has been developed for operation via Unreal Engine Program. With this, different commands in game can be designed using symbols, text boxes, connection lines and property windows. The language aims to make programming easier, reduce complexity and eliminate program coding in executing the application as desired. This article presents the comparison of the effectiveness of application development on Android operating system between visual programming language of game engine on Unreal Engine and Java on Eclipse Program.
This study uses experimental research methods having 5 experts in computer program development to receive training and develop application on Android operating system by visual programming language of game engine on Unreal Engine and Java on Eclipse Program. Training and program development results are measured and compared using paired sample t-test, mean and standard deviation. The benefits from this study are guidelines for deciding suitable development tool for mobile application on Android operating system and implementation of visual programming language of game engine on Unreal Engine Program as alternative tool for development of mobile application on Android operating system.
The study indicated that visual programming language of game engine on unreal engine can be used to develop mobile applications on Android operating system with higher efficiency than Java on Eclipse Program. Testing criteria include time spent in training program, program development time, number of additional studies during program development, time spent in each additional study during program development and size of application files for deployment. Statistical t values of the five criteria are 2,036.15 (p < 0.01) 5.77 (p < 0.01) 43.31 (p < 0.010) 13.39 (p < 0.01) and 2.56 (p < 0.01) respectively.
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