Permainan dikatakan menantang apabila dapat membuat pemainnya (player) tidak dapat menebak apa ya... more Permainan dikatakan menantang apabila dapat membuat pemainnya (player) tidak dapat menebak apa yang akan dihadapinya di setiap babak (level). Dalam permainan match-up Find Me!-Bumi Etam player harus mencocokan 2 gambar yang sama sampai semua pasangan gambar terbuka semuanya. Objek puzzle gambar tidak dapat di letakkan pada satu tempat posisi saja. Player pasti akan mengingat dimana letak gambar tersebut dan pasangannya, sehingga permainan akan tampak membosankan. Meletakkan posisi objek puzzle gambar harus dilakukan dengan teknik pengacakan, dengan tujuan membuat permainan lebih menantang. Setiap koordinat gambar harus di acak berdasarkan posisi x dan y nya, sehingga objek pasangan gambar akan diletakan secara acak pula. Hasil penelitian, teknik pengacakan posisi objek permainan match-up Find Me!-Bumi Etam membuat pemain tidak dapat mengahafal posisi objek pasangan gambar tersebut dalam setiap babak (level) permainan, sehingga permainan menjadi tidak statis dan tidak membosankan
— Battle of Etam Earth is one of the games developed by Bibir Design Studio for PC platform, tabl... more — Battle of Etam Earth is one of the games developed by Bibir Design Studio for PC platform, tablets and arcade machines. A modern rock paper scissors game that was packed in a duel robot, where there were two players will depend on experience, strategy and luck to be a winner. The AI technology required for this game to be played by one player only. The second players are replaced by game agent. Game agent is constructed by transferring the knowledge of the game master of this game to become the model of a Finite State Machine (FSM). Research about game agent has become the attention of researchers in the field of Artificial Intelligence (AI). Every action-reaction of game that probably would happen, transform into states that will be the behavior of the agent. In this research will show us about the strategy model of the Battle of Etam Earth, which to design the behavioral of the Agent that was used Finite State Machine. Where the game agent is developed into three levels: easy, normal, and hard to make player can improve the experience. Finally, test results through simulation battle, was concluded that FSM could be properly functioned as a pattern of behavior as an intelligence game agent.
Research developing Edugame "”Boni Kids-Borneo Animal Kids” is a research develop Match-Up type g... more Research developing Edugame "”Boni Kids-Borneo Animal Kids” is a research develop Match-Up type game. In this type game, player must find match 2 images of the Borneo animals in the same time, the player must remember the position of the image to be matched. The shuffling-random algorithm used to make images position always scrambled and player never get bored playing. AI technology (artificial intelligence) is also applied on this research. Using the Finite State Machine (FSM) model, the game agent was created in funny-animals form. It will mentoring the children to play this game like a teacher.
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