Abstract:
One type of entertainment that people often do is playing games. Genshin Impact is a very popular game. In
this game, there are many characters that can be obtained during the game. Players need to strengthen their
character to defeat enemies during adventures and complete missions. One way to strengthen the character
is to use artifacts. There are so many artifacts in Genshin Impact that each artifact has a random value that
is confusing for new players. This study aims to classify artifacts using the Naive Bayes Classifier method.
This Naive Bayes Classifier algorithm model uses a dataset of Gladiator and Wanderer artifacts of 349 data,
279 data as training data and 70 data as testing data. The data attributes used are 8 attributes, the name of
the artifact set, the type of artifact, the type of main stat, sub stat 1, sub stat 2, sub stat 3, and sub stat 4. This
study resulted in a classification model with an accuracy of 87.1% measured using the Confusion Matrix
