CD Skripsi

Klasifikasi Artefak Pada Game Genshin Impact Menggunakan Algoritma Naive Bayes Classifier

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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.
Keywords: Artifacts, Genshin Impact, Classification, Naive Bayes Classifier

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1603111487

Penerbit

Pekanbaru : Universitas Riau - FMIPA -SISTEM INFORMASI., 2023

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1603111487

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

SISTEM INFORMASI

Info Detail Spesifik

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Pernyataan Tanggungjawab

tethi

Versi lain/terkait

Lampiran Berkas

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