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Game  adalah salah satu media teknologi yang populer di kalangan masyarakat baik dari anak kecil maupun orang dewasa sebagai media hiburan. game itu sendiri memiliki banyak sekali genre atau jenisnya. Penelitian ini mengembangkan  game  dengan menerapkan  Artificial Intelligence  pada  game racing .  Game  sejenis yang telah diobservasi memiliki kelemahan bersifat  endless run  dan juga tidak memiliki NPC ( Non-Player Character ) didalamnya. Selain itu, alasan penelitian ini dibuat karena untuk mengangkat permainan tradisional yang hampir dilupakan, untuk itu perlu dibuat  game  sejenis yang berbeda dari sebelumnya dengan menambahkan NPC didalam  game  dengan menerapkan beberapa Algoritma. Di dalam penelitian ini menerapkan Algoritma  Collision Avoidance System  untuk membuat NPC dapat menghindari  Obstacle  dan Algoritma  Random Number Generator  untuk membuat  Obstacle  muncul secara acak. Dalam penelitian ini berhasil membuat “Balap Egrang” dengan Metode  Game Development Life Cycle  (GDLC). Berdasarkan pengujian yang telah dilakukan, hasil pengujian  alpha  sudah sesuai secara fungsional dan dari pengujian beta hasil uji fungsionalitas  User Acceptence Test  (UAT) didapat nilai sebesar 82,58% dinyatakan layak untuk digunakan dengan interpretasi “Baik” yang berarti  game  ini layak digunakan dan dapat dikembangkan.       AbstractEgrang game is one of the traditional games in Indonesia that uses two meters of bamboo material and is given a footing below. This game can be played by all ages by stepping on the footing and maintaining balance when walking at a certain distance and time. This game has begun to erode the era and needs to be preserved. This study tries to revive traditional games into digital-based games by implementing Artificial Intelligence. Similar games that have been observed, such as the Balap Karungs Game from Playstore which is in the racing genre, have endless run weaknesses and also have no Non-Player Character NPCs. The results of this study are Android-based games by applying the Collision Avoidance System Algorithm to make NPCs avoid the Obstacle and Random Number Generator Algorithms to make the Obstacle appear randomly. The development of the Balap Egrang Game uses the Game Development Life Cycle (GDLC) method. Based on the tests that have been carried out, the alpha test results are functionally appropriate and from the beta testing the results of the User Acceptence Test (UAT) functionalities obtained a value of 82.58% which is declared feasible to use with the interpretation of "Good" which means that the game is feasible developed.  .

jurnal teknologi informasi dan ilmu komputer (malang)

Penerapan Artificial Intelligence pada Non Player Character Menggunakan Algoritma Collision Avoidance System dan Random Number Generator pada Game 2D "Balap Egrang"