Skripsi

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

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307005901	T129167	T1291672023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1291672023

Publisher

Indralaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xv, 40 hlm.; Ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.60 .7

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Jaringan
Jurusan Sistem Komputer,

Specific Detail Info

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Statement of Responsibility

FIRA

Other version/related

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