Implementasi Metode Naïve Bayes Dalam Prediksi Kemenangan Pada Turnament Game Honor of King
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Abstract
The development of the gaming industry today has a significant impact, especially on online games, which have become a part of the lifestyle for many people. Honor of Kings is a strategy game where there are 2 teams, each consisting of 5 players who fight and defend their respective towers. The game was originally released in China in 2015 and was just launched globally in 2024. The game is themed around Chinese history and fantasy. In this study, the Naïve Bayes Classifier method is used to predict the winning status in Honor of Kings. The data used is secondary data sourced from YouTube covering matches from an eSports event, specifically KPL 2023, which is increasingly popular among viewers and players. The variables used are Health Points, HP Regen, Physical Attack, Physical Defense, Cooldown Reduction, and Attack Speed. The purpose of this study is to implement the Naïve Bayes method in predicting victories in the game Honor of Kings. The Naïve Bayes method was chosen because of its advantages in handling classification problems, namely its ability to use large amounts of data with results that have a good level of accuracy. In this study, the prediction results showed that the implementation of the Naïve Bayes method was able to provide an accuracy rate of 80.88%, thus falling into the good category winner.
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