Application of Tic-Tac-Toe Game Using Artificial Neural Network Method in Web-Based Decision Making for Winning
Penerapan Game Tic-Tac-Toe dengan Menggunakan Metode Artificial Neural Network dalam Pengambilan Keputusan untuk Meraih Kemenangan Berbasis Web
DOI:
https://doi.org/10.21070/ups.267Keywords:
Tic-Tac-Toe, Artificial Neural Network, Web, Learning Media, Decision MakingAbstract
Tic-Tac-Toe is a game played by only 2 players using a 3x3 board. The player must alternately fill in the empty places so that they can form a straight line horizontally, vertically or diagonally so that it can be said to have won. The methodology used in this research is using the Artificial Neural Network Method which is an attempt to imitate the function of the human brain. In the Tic-Tac-Toe game in making decisions to win, it has an accuracy value of 80% for easy difficulty, 40% for medium difficulty, and 30% for hard difficulty, this shows that for the computer to win the game is quite easy on the hard difficulty level and on the easy difficulty level, the computer is very easy to beat by the user.
Keywords: Tic-Tac-Toe, Artificial Neural Network, Web, Learning Media, Decision Making
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