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Application of K-Means Method in Clustering Role Playing Game Warrior
Reko Subandi (a*), Rochmat Setiyawan (b), M Jundi Hakim (c), Risnandar (d), Windu Gata (e)

a)Master of Computer Science Postgraduate Program STMIK NUSA MANDIRI
Jalan Kramat Raya No.18, Jakarta Pusat 10420, Indonesia
14002195[at]nusamandiri.ac.id

b)Master of Computer Science Postgraduate Program STMIK NUSA MANDIRI
Jalan Kramat Raya No.18, Jakarta Pusat 10420, Indonesia
14002193[at]nusamandiri.ac.id

c)Master of Computer Science Postgraduate Program STMIK NUSA MANDIRI
Jalan Kramat Raya No.18, Jakarta Pusat 10420, Indonesia
junday86[at]gmail.com

d)Master of Computer Science Postgraduate Program STMIK NUSA MANDIRI
Jalan Kramat Raya No.18, Jakarta Pusat 10420, Indonesia
risnandar01[at]gmail.com

e)Master of Computer Science - Postgraduate Programs
STMIK Nusa Mandiri
Jakarta, Indonesia
windu.gata [at]gmail.com


Abstract

The variety of virtual game champions Power Ranger Legacy Wars on the smartphone platform makes users confused in determining the formation of the team. But the choice of team formation during the process of playing video games requires a thorough skill and strategy that can sometimes lead to unexpected problems due to poor choices and can affect the game. In this paper, we will present the K-Means method to clustering warrior of team selection in the game, then we will discuss the results to see whether the method chosen provides the right decision that will help players choose combination the warrior ranger easily in the game.

Keywords: k-means, data mining, android, power ranger, team

Topic: International Symposium of Engineering, Technology, and Health Sciences

Link: https://ifory.id/abstract/pUmbBDfY48Z9

Conference: The 3rd International Conference on Sustainability and Innovation (ICoSI 2019)

Plain Format | Corresponding Author (Rochmat Setiyawan)

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