VISUALISASI POLA TRAFIK JARINGAN PADA LAYANAN TELECONFERENCE (ZOOM) DENGAN METODE K-MEANS

SARI, MITA and Stiawan, Deris and Heryanto, Ahmad (2023) VISUALISASI POLA TRAFIK JARINGAN PADA LAYANAN TELECONFERENCE (ZOOM) DENGAN METODE K-MEANS. Undergraduate thesis, Sriwijaya University.

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Abstract

Video conferencing is a multimedia communication service that provides simultaneous video, audio and data communication services. Video conferencing is used for long-distance communication that brings together two or more people by utilizing broadband services. Recently, due to the impact of Covid-19, video conferencing services have been widely used by the national and international community. Visualization is a method of presenting data information in graphic form with the aim of making it easier to recognize the data presented. Visualization Machine Learning with the K-Means method provides learning to distinguish application network traffic based on its characteristics. This research uses the K-Means algorithm using clustering in the visualization process. The results of this research show that there are differences in characteristics of the Zoom data based on the k-means cluster.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Visualisasi, Video conferencing, Zoom, Trafik Jaringan, Clustering, K-Means
Subjects:	T Technology > T Technology (General) > T10.5-11.9 Communication of technical information
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Mitasari Mitasari
Date Deposited:	27 Sep 2023 03:58
Last Modified:	27 Sep 2023 03:58
URI:	http://repository.unsri.ac.id/id/eprint/129167

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