Kemacetan jaringan merupakan masalah serius di jaringan internet yang dapat menimbulkan peningkatan jumlah packet loss. Kemacetan juga dapat menjadi beban jaringan sehingga dapat memperlambat koneksi jika tidak ditangani dengan baik, bahkan dapat menyebabkan kelumpuhan dalam jaringan . Transport Control Protocol (TCP) menyediakan mekanisme transfer data yang dapat diandalkan (reliable), sehingga aliran data yang dibaca TCP receiver tidak rusak, tanpa duplikasi, dan berurutan.  Pada penelitian ini, penulis menguji kualitas pengiriman data Transport Control Protocol (TCP) Window Size 64K menggunakan Algoritma TCP New Reno pada jaringan kabel Fast Ethernet dan Wireless 802.11n. Penelitian ini bertujuan untuk mengatasi kemacetan pada jaringan wired dan wireless  dengan menggunakan TCP Window Size 64K dan Algoritma TCP New Reno dan membandingkan hasil dari parameter Quality of Service (QoS) yang akan diuji diantaranya adalah throughput, delay, jitter, dan packet loss. Proses simulasi penelitian ini menggunakan Software Riverbed sebagai simulator untuk merancang dan mencari nilai parameter Quality of Service (QoS) pada jaringan wired dan wireless tersebut. Hasil dari penelitian ini menunjukkan bahwa throughput dan delay yang dihasilkan pada jaringan Wireless 802.11n memiliki performa yang lebih baik daripada Wired Fast Ethernet dengan nilai throughput 13050,6 bit/sec dan nilai delay 0,000253344 sec. Adapun jaringan Wired Fast Ethernet memiliki performa jitter dan packet loss yang lebih baik daripada Wireless 802.11n dengan nilai jitter 0,0000000000003 sec dan nilai packet loss 0%.Kata Kunci: Kabel Fast Ethernet, Wireless 802.11n, TCP Window Size 64K, TCP New Reno, Quality of Service (QoS). Congestion Network congestion is a serious problem in internet networks that can cause an increase in the number of packet loss. Congestion can also become a burden on the network so that it can slow down the connection if not handled properly, and can even cause paralysis in the network. The Transport Control Protocol (TCP) provides a reliable data transfer mechanism, so that the data streams that are read by the TCP receiver are not damaged, without duplication, and sequential. In this study, the authors simulated using TCP Window Size 64K with the New Reno TCP Algorithm on Wired Fast Ethernet and Wireless 802.11n. This study conducted a simulation to solve congestion on wired and wireless networks and then compared the results of the Quality of Service (QoS) parameters tested, including throughput, delay, jitter, and packet loss. The simulation process of this research uses Riverbed Software as a simulator to design and find the QoS parameter values on the wired and wireless networks. The results of this study indicate that the resulting throughput and delay on the Wireless 802.11n network has better performance than Wired Fast Ethernet with a throughput value of 13050.6 bits / sec and a delay value of 0.000253344 sec. The Wired Fast Ethernet network has better jitter and packet loss performance than Wireless 802.11n with a jitter value of 0.0000000000003 sec and a packet loss value of 0%.

SDN technology is a new architecture in the network that separates the control plan from the data plan. Aruba VAN Controller provides centralized control in a network architecture that runs on the OpenFlow protocol. This study conducted an SDN network simulation using the Aruba VAN Controller by applying the Narmox Spear application to simplify network configuration. IP addressing with DHCP server, for testing scenarios using UDP protocol packet delivery with packets sent at 1000 Bytes, the number of packets sent is 100 packets/s, then given background traffic variations of 50 Mbps, 100 Mbps, 150 Mbps and 200 Mbps to networks that have two different link bandwidth values as a comparison for analyzing the results of testing the QoS parameters, which are 100 Mbps and 200 Mbps. The test results are obtained when background traffic exceeds the link bandwidth capacity, the resulting throughput will be smaller on the destination side by 485.64 Kb/s, delay increases by 240.21 ms, then for jitter by 2.48 ms, resulting in overload resulting in packet loss of 37.41%. However, when background traffic increases and does not exceed the specified link bandwidth capacity, the overall QoS parameter value is generated in the good category, namely throughput of 774.42 Kb/s, delay of 0.41 ms, jitter of 0.37 ms and packet loss of 0.00%. Keyword - SDN, Aruba VAN Controller, OpenFlow, DHCP, UDP, QoS

Era Pandemi menyebabkan peningkatan penggunaan aplikasi konferensi video yang tiba-tiba dan siginifikan. Bagi perusahaan harus segera beradaptasi dalam hal aplikasi komunikasi. Salah satu aplikasi yang bisa digunakan yaitu openmeetings. Openmeetings adalah aplikasi yang digunakan sebagai pengatur konferensi yang terinstal pada server. Umumnya server dibangun menggunakan komponen fisik, namun memiliki keterbatasan sehingga seringkali mengalami penurunan performa dalam segi kecepatan server dalam menjalankan layanan. Salah satu upaya meningkatkan performa server harus menambah atau mengganti perangkat keras sehingga kurang menguntungkan pada biaya operasional. Konsep Cloud selain dapat mengefisienkan biaya operasional server juga handal dalam hal ketersedian layanan. Cloud merupakan sebuah model Client-server, dapat diakses oleh pengguna dimana saja dan kapan saja. Membangun Cloud salah satunya dapat menggunakan openstack, merupakan software open source untuk membangun cloud. Penelitian dilakukan perbandingan harga cloud dengan komponen fisik serta pengujian Video Conference yang di jalankan dalam Cloud untuk mengetahui kinerja Cloud dari sisi Quality of Service (QoS) meliputi delay, packetloss, jitter dan throughput. Hasilnya disimpulkan menggunakan cloud lebih efisien dibandingkan dengan menggunakan server fisik. nilai rata-rata terbesar pada sisi upload adakah throughput sebesar 639.85kbps, delay sebesar 30.22ms, jitter sebesar 10.35ms dan packetloss sebesar 0.94%, untuk nilai rata-rata terbesar pada sisi download adalah throughput sebesar 1,856.55kbps, delay sebesar 10.19ms, jitter sebesar 6.18ms dan packetloss sebesar 0.87%.

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Mobile ad-hoc network is a connection between mobile devices that uses wireless media. Mobile devices on the network hereinafter referred to a nodes. This network does not have an administrative center so each node on the network in addition to functioning as a sender and receiver of data information also functions as a router that will look for route information from the sender to the receiver. The topology of an ad-hoc network is always changing because the nodes move dynamically. The topology changes resulted in the repetition of route information searches. The process of finding route information requires a routing protocol. The routing protocol-enabled nodes must maintain the energy usage in the route-finding mechanism. Choosing the right routing protocol can be a solution to make energy use by nodes more efficient, especially in ad-hoc networks. In this study, a routing protocol in the reactive category is used, namely DSR (Dynamic Source Routing). This study aims to determine the performance of energy consumption, remaining energy, and PDR with scenarios of increasing node movement speed and network area. Based on the research results, it is known that the DSR routing protocol can handle changes in the speed of node movement and network area related to energy consumption and remaining energy. This is evidenced by the results of research showing that with faster node movements and wider areas, less energy is required. Meanwhile, regarding the success of packet delivery, the DSR routing protocol cannot handle changes in the speed of node movement and network area. This is evidenced by the results of the packet delivery ratio measurement which shows that with faster node movements and wider areas, many packets are not successfully received.