Klasifikasi Penggunaan Protokol Komunikasi Pada Trafik Jaringan Menggunakan Algoritma K-Nearst Neighbor

Network traffic internet is data communication in a network, which is characterized by information from the packet header data. Proper classification of network traffic on a very important notably in terms of architectural design network design, network and network security Risk Management. The analysis of computer network traffic is one way to know the use of the computer network communication protocol, so it can be the basis for determining the priority of Quality of Service (QoS). Basic practice in providing QoS priority is to analyze the data traffic on the network. In this study the classification of the data capture network traffic on though Algorithm K-Neaerest Neighbor (K-NN). Applications used to capture network traffic that wireshark application. The results of observations of the dataset and the network traffic through the calculation process using K-NN algorithm obtained a result that classification K-NN has a very high level of accuracy. This is evidenced by the results of calculations which reached 99.14%, ie by calculating k = 3.