FAUZAAN, MUHAMMAD RIZKI and Stiawan, Deris (2021) KLASIFIKASI POLA TRAFIK JARINGAN PADA APLIKASI VIDEO CONFERENCE MENGGUNAKAN METODE RANDOM FOREST. Undergraduate thesis, Sriwijaya University.
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Abstract
Video conferencing is an information and communication technology that can connect several people from different locations simultaneously at the same time. However, most of the problems in video conferencing applications are related to Quality of Service (QoS) to increase user comfort while using the application. This research focuses on analyzing network traffic patterns based on bandwidth used on video conferencing applications and analyzed based on QoS calculations. Based on the QoS results, the network traffic patterns will be classified using Random Forest. The classification results from Random Forest achive a 99% of accuracy, 99% of TPR, 1% of FPR, 98% of TNR, and 0.2% of FNR.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Quality of Service, Video Conference, Classification, Random Forest. |
Subjects: | T Technology > T Technology (General) > T1-995 Technology (General) |
Divisions: | 09-Faculty of Computer Science > 56201-Computer Systems (S1) |
Depositing User: | Users 5542 not found. |
Date Deposited: | 13 Jul 2021 05:06 |
Last Modified: | 13 Jul 2021 05:06 |
URI: | http://repository.unsri.ac.id/id/eprint/49783 |
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