Prediksi Kemenangan eSport DOTA 2 Berdasarkan Data Pertandingan


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Title Prediksi Kemenangan eSport DOTA 2 Berdasarkan Data Pertandingan
Creator Atmaja, Eduardus Hardika Sandy
data mining, DOTA 2, eSports, prediction
Description DOTA 2 is one of the eSports that are in great demand both by the general society and the game professional communities. They compete with each other to develop the best strategy to defeat all enemies they faced. In order to develop the best strategy, a good and accurate analysis system is needed. Data mining can be used to solve these problems by digging valuable information from dataset using certain method. Prediction method is one of the methods in data mining that is most appropriate for finding the winning predictions for the DOTA 2 game. One method that is quite simple and can be used is Naive Bayes. The results of this study indicate that Naive Bayes can make predictions well with an accuracy of 98,804 %. The data used in this research as much as 50000 that obtained from open data. It is expected that this research can assist players in providing information for developing game strategies.
Publisher Sekolah Tinggi Teknologi Adisutjipto
Date 2020-01-23
Type info:eu-repo/semantics/article
Peer-reviewed Article
Format application/pdf
Source AVITEC; Vol 2, No 1 (2020): Februari 2020; 31-38
Language eng
Rights Copyright (c) 2020 AVITEC

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