VISUALISASI DAN PENGENALAN POLA TRAFFIC GAME APEX LEGEND MENGGUNAKAN METODE K-MEANS

PRATAMA, GILANG and Stiawan, Deris (2019) VISUALISASI DAN PENGENALAN POLA TRAFFIC GAME APEX LEGEND MENGGUNAKAN METODE K-MEANS. Undergraduate thesis, Sriwijaya University.

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Abstract

APEX LEGEND game is one of FPS (First Person Shooter) and Battle royal online game. APEX LEGEND has become the most popular online game in 2019, the popularity that made Respawn Entertainment as the developer must use a hosting server to accommodate players around the world, in this research, observations were made on APEX LEGEND game. The purpose of this research is to analyze data traffic from users in APEX LEGEND, which then being clustered using K–means and visualized. The steps of this research are (i) creating scenario for sniffing, (ii) extracting data using Data Extraction, which is finally clustered using K-means, and (iii) result of data clustering are visualized using WEKA. Based on testing which has been done, there is scenario data that has cluster calculations (Number of iterations) up to five times, with the largest SSE (Sum of Squared Errors) is 40.89, because in that scenario there are variation data in the traffic.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	visualisasi, pengenalan pola
Subjects:	T Technology > T Technology (General) > T57.6-57.97 Operations research. Systems analysis T Technology > T Technology (General) > T57.6-57.97 Operations research. Systems analysis > T57.85 Network systems theory Including network analysis Cf. TS157.5+ Scheduling
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Users 4467 not found.
Date Deposited:	17 Jan 2020 06:43
Last Modified:	17 Jan 2020 06:43
URI:	http://repository.unsri.ac.id/id/eprint/24433

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