TA : Pembuatan Sistem Penentuan Hero Dalam Captain Mode Pada Game Defence Of The Ancients Menggunakan Neural Network
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Institusion
Universitas Dinamika
Author
Masta, Chrisandy
Tutut Wurijanto (LECTURER ID : .)
Romeo . (LECTURER ID : .)
Tutut Wurijanto (LECTURER ID : .)
Romeo . (LECTURER ID : .)
Subject
790 Sports, games & entertainment
Datestamp
2015-05-08 03:12:29
Abstract :
Captains Mode ( CM ) is a game mode at Defend of the Ancients ( DotA ) and has been internationally recognized and used during official games . In Captains Mode there is a strategy in the selection made by each team captain.. CM strategy requires knowledge about the characteristics of each hero in DotA, as much as 96 heroes. Each hero has advantages and disadvantages of each, which are able to reverse the attack to another heroes, knowledge needed to combine existing heroes to be able to increase combat power. The complexity of strategy in CM also increased because it takes the ability to predict the heroes that will be used by the opponent. Based on the above problems, a team captain requires a lot of practice in the selection of the heroes by learning the official game from a professional team, which is so many. Learning difficulties will be helped by using an application that uses the neural network method can provide a reference for the team to determine the heroes selection strategy based on the notes or recordings. Use of Artificial Neural Network method has been able to run as expected , with the average percentage of accuracy for recommendations data heroes who has never been trained by 72.46 % .
Captains Mode ( CM ) is a game mode at Defend of the Ancients ( DotA ) and has been internationally recognized and used during official games . In Captains Mode there is a strategy in the selection made by each team captain.. CM strategy requires knowledge about the characteristics of each hero in DotA, as much as 96 heroes. Each hero has advantages and disadvantages of each, which are able to reverse the attack to another heroes, knowledge needed to combine existing heroes to be able to increase combat power. The complexity of strategy in CM also increased because it takes the ability to predict the heroes that will be used by the opponent. Based on the above problems, a team captain requires a lot of practice in the selection of the heroes by learning the official game from a professional team, which is so many. Learning difficulties will be helped by using an application that uses the neural network method can provide a reference for the team to determine the heroes selection strategy based on the notes or recordings. Use of Artificial Neural Network method has been able to run as expected , with the average percentage of accuracy for recommendations data heroes who has never been trained by 72.46 % .
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