The Behavior Change of Intelligent Agent Using Finite State Machine in “Save Karang Mumus” Game
Автор: Syafei Karim, Ida Maratul Khamidah
Журнал: International Journal of Information Engineering and Electronic Business @ijieeb
Статья в выпуске: 5 vol.15, 2023 года.
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Save Karang Mumus is a learning game about caring for the environment. This game is an educational game that can provide knowledge to players so that players are expected to learn while playing. Save Karang Mumus Game uses a role-playing game genre where players must play a role to complete the mission of the game. Multimedia Development Life Cycle development method is used for the development of this game starting from concept, design to distribution. This research focuses on the behavior of NPCs that change based on certain conditions using the Finite State Machine (FSM) method. NPCs will chase players based on the variable amount of trash collected and Health Points. The game is tested using alpha test and beta test. Based on the results, the game can be played well and get a percentage value of 65.66% of the respondents' test results. An application can be said to be good if it is more than 61% and less than 80%. It can be concluded that Save Karang Mumus Game is successful and worthy to be played.
Educational games, artificial intelligence, finite state machine, role playing game, non-player character
Короткий адрес: https://sciup.org/15018884
IDR: 15018884 | DOI: 10.5815/ijieeb.2023.05.02
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