scholarly journals ANALISIS QUALITY OF SERVICE JARINGAN WIRELESS SUKANET WiFi DI FAKULTAS SAINS DAN TEKNOLOGI UIN SUNAN KALIJAGA

2018 ◽  
Vol 10 (2) ◽  
pp. 191-201 ◽  
Author(s):  
Bambang Sugiantoro ◽  
Yuha Bani Mahardhika
Keyword(s):  
Quality Of Service ◽  
Packet Loss ◽  
Network Performance ◽  
Quality Level ◽  
Islamic State ◽  
State University ◽  
Loss Ratio ◽  
Packet Loss Ratio ◽  
Internet Service

ABSTRAK Performa layanan jaringan Internet pada UIN Sunan Kalijaga Fakultas Sains dan Teknologi masih belum maksimal, yaitu memiliki tingkat kualitas delay sebesar 159 milidetik menurut TIPHON Bagus. Besar Throughput sebesar 9.0 MBps dan presentase Throughput sebesar 50 % dikategorikan menurut standarisasi TIPHON sedang. Dan memiliki nilai packet loss ratio sebesar 36 % dikategorikan menurut standarisasi TIPHON adalah jelek. ABSTRACT Internet service network performance in Islamic State University of Sunan Kalijaga environment in the faculty of science and technology area is still not maximal. It has a delay quality level of 159 milliseconds according to good TIPHON. Large throughput of 9.0 Mbps and throughput percentage of 50% are categorized according to standardized of normal TIPHON and it has a value of packet loss ratio of 36% categorized according to TIPHON standardization is bad.How to Cite : Sugiantoro, B. Mahardhika, Y.B . (2017). ANALISIS QUALITY OF SERVICE JARINGAN WIRELESS SUKANET WiFi DI FAKULTAS SAINS DAN TEKNOLOGI UIN SUNAN KALIJAGA. Jurnal Teknik Informatika, 10(2), 191-201. doi:10.15408/jti.v10i2.7027Permalink/DOI: http://dx.doi.org/10.15408/jti.v10i2.7027

scholarly journals PEMODELAN DAN SIMULASI JARINGAN BACKBONE METRO ETHERNET KOTA SEMARANG TAHUN 2028 MENGGUNAKAN SIMULATOR RIVERBED MODELER 17.5

TRANSIENT ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 971
Author(s):  
Danur Ilham Khoiruman ◽  
Sukiswo Sukiswo ◽  
Ajub Ajulian Zahra
Keyword(s):  
Quality Of Service ◽  
Packet Loss ◽  
Loss Ratio ◽  
Round Trip ◽  
Packet Loss Ratio ◽  
Riverbed Modeler ◽  
Round Trip Delay

Metro Ethernet merupakan salah satu teknologi untuk memberikan solusi terintegrasi untuk layanan suara, data dan video dalam cakupan yang luas (perkotaan). Teknologi ini memiliki kecepatan transmisi data sebesar 10 Mbps - 100 Gbps. Suatu jaringan harus memiliki kualitas layanan dan kapasitas yang memadai baik dari segi kapasitas link, router dan performansi QoS (Quality of Service). Pada penelitian ini, dirancang jaringan metro ethernet dengan kapasitas sesuai kebutuhan masyarakat kota Semarang tahun 2028 dengan kualias layanan yang sesuai dengan standar PT. Telkom dan ITU-T. Pemodelan dan pembuatan simulasi rancangan jaringan menggunakan perangkat lunak Riverbed Modeler 17.5. Perbandingan protocol routing RIP dan OSPF dengan parameter waktu konvergensi dilakukan sebelum analisis QoS, dengan tujuan mendapatkan rekomendasi protocol routing yang terbaik. Analisis parameter QoS yang diukur meliputi round trip delay (RTD), jitter, packet loss, utilisasi dan volume trafik. Hasil perbandingan protocol routing menunjukkan bahwa protocol routing OSPF memiliki waktu konvergensi lebih cepat 2 kali lipat dari protokol RIP. Hasil analisis QoS menyatakan bahwa QoS semua link telah sesuai dengan standar yang ada, nilai terbesar untuk RTD adalah 1,265 ms, untuk jitter adalah 0,7331 ms, untuk packet loss ratio adalah 0,00019214 %, untuk utilisasi tertinggi yaitu 58,4%, dan volume trafik terbesar adalah 91.636 Mbps.

scholarly journals OPTIMIZATION OF WIRELESS NETWORK PERFORMANCE USING THE HIERARCHICAL TOKEN BUCKET (CASE STUDY: MUHAMMADIYAH UNIVERSITY OF PALEMBANG)

2019 ◽  
Vol 1 (1) ◽  
pp. 49-59
Author(s):  
Yukos Pratama ◽  
Heri Suroyo
Keyword(s):  
Quality Of Service ◽  
Packet Loss ◽  
Network Performance ◽  
High Mobility ◽  
Bandwidth Management ◽  
Token Bucket ◽  
Very High ◽  
Tree Method

Computer networks have penetrated into various fields including education for the learning process which is used as a medium for delivering scientific concepts to be more attractive and easily accepted. The Muhammadiyah University of Palembang currently has very high mobility, both used for browsing information, downloading data and using other facilities. For the need for bandwidth management to manage each passing data so that the distribution of bandwidth becomes evenly distributed by using the queue tree method that is applied to the proxy. To evaluate internet bandwidth analyze QoS (Quality of Service) using typhoid standardization in terms of measurement of throughput, delay, and packet loss. The results of this study show that the quality of the network with the hierarchical token bucket method is more optimal, this is because the bandwidth will be divided according to the rules applied to bandwidth management and does not cause clients to fight over bandwidth

scholarly journals OPTIMIZATION OF WIRELESS NETWORK PERFORMANCE USING THE HIERARCHICAL TOKEN BUCKET (CASE STUDY: MUHAMMADIYAH UNIVERSITY OF PALEMBANG)

2019 ◽  
Vol 1 (1) ◽  
pp. 49-59
Author(s):  
Yukos Pratama ◽  
Usman Ependi ◽  
Heri Suroyo
Keyword(s):  
Quality Of Service ◽  
Packet Loss ◽  
Network Performance ◽  
High Mobility ◽  
Bandwidth Management ◽  
Token Bucket ◽  
Very High ◽  
Tree Method

Computer networks have penetrated into various fields including education for the learning process which is used as a medium for delivering scientific concepts to be more attractive and easily accepted. The Muhammadiyah University of Palembang currently has very high mobility, both used for browsing information, downloading data and using other facilities. For the need for bandwidth management to manage each passing data so that the distribution of bandwidth becomes evenly distributed by using the queue tree method that is applied to the proxy. To evaluate internet bandwidth analyze QoS (Quality of Service) using typhoid standardization in terms of measurement of throughput, delay, and packet loss. The results of this study show that the quality of the network with the hierarchical token bucket method is more optimal, this is because the bandwidth will be divided according to the rules applied to bandwidth management and does not cause clients to fight over bandwidth

ANALISIS PERBANDINGAN QUALITY OF SERVICE JARINGAN INTERNET BERBASIS WIRELESS PADA LAYANAN INTERNET SERVICE PROVIDER (ISP) INDIHOME DAN FIRST MEDIA

2020 ◽  
Vol 25 (2) ◽  
pp. 125-137
Author(s):  
Priska Restu Utami
Keyword(s):  
Quality Of Service ◽  
Service Provider ◽  
Packet Loss ◽  
Internet Service Provider ◽  
Internet Service

Untuk menjamin komunikasi internet yang stabil dan baik diperlukan layanan internet yang mumpuni. Tentunya semakin besar bandwidth yang digunakan, maka semakin cepat pula informasi dapat diakses dari internet. Quality of Service (QoS) mengacu pada kemampuan suatu jaringan untuk menyediakan layanan yang lebih baik pada trafik jaringan tertentu melalui teknologi yang berbeda-beda. Pada penelitian ini membandingkan QoS jaringan layanan Internet Service Provider (ISP) antara Indihome dan First Media. Tujuan dari penelitian ini adalah membandingkan performa layanan jaringan antara kedua ISP tersebut dengan menggunakan parameter QoS yaitu parameter throughput, packet loss dan delay. Pada penelitian ini dilakukan uji coba jaringan dengan melakukan remote Desktop menggunakan aplikasi team viewer. Hasil analisis data yang telah dilakukan menunjukkan bahwa nilai rata-rata pada setiap parameter QoS yang telah dilakukan selama 40 menit, didapat rata-rata nilai throughput untuk ISP Indihome 65 kbps dan ISP First Media 42,5 kbps, di mana kedua ISP tersebut dikategorikan buruk. Untuk parameter packet loss dikategorikan buruk untuk ISP First Media dengan rata-rata nilai 31,82% tetapi dikategorikan baik pada selang waktu antara 20 menit sampai 40 menit dengan rata-rata nilai 10,46% untuk ISP Indihome. Lama delay untuk kedua ISP dikategorikan sangat baik yakni dengan rata-rata nilai 24,4 ms untuk ISP Indihome dan 36,85 ms untuk ISP First Media. Berdasarkan rata-rata nilai parameter QoS pada layanan internet Indihome memiliki rata-rata indeks 2 yang artinya lebih baik dibandingkan dengan layanan internet First Media yang memiliki rata-rata indeks 1,67.

scholarly journals Implementation flow control to improve quality of service on computer networks

2019 ◽  
Vol 16 (3) ◽  
pp. 1474
Author(s):  
Ahmad Khafidin ◽  
Tatyantoro Andrasto ◽  
Suryono Suryono
Keyword(s):  
Flow Control ◽  
Packet Loss ◽  
Network Performance ◽  
Control Mechanism ◽  
State University ◽  
Token Bucket ◽  
Qos Parameters ◽  
Engineering State ◽  
Internet Network

<p>Quality of Service (QoS) is the collective effect of service performances, which determine the degree of satisfaction of a user of the service. In addition, QoS defined as the ability of a network to provide good service. QoS aims to provide different quality of services for various needs in the IP network. QoS parameters that can be used to analyze the data communication services are jitter, packet loss, throughput, and delay. The quality of QoS parameters in the network is affected by congestion. Congestion occurs because there is an excessive queue in the network. Congestion can be prevented by implementing flow control on network. Flow control is a method to control the data packet flow in a network. By controlling of the data packet flow, it can improve of QoS. This study intends to find out value of QoS on the internet network at Faculty Engineering, State University of Semarang by measuring network performance using QoS parameters. Then, in this research will be implemented the token bucket method as a flow control mechanism at the network to improve the QoS. After research and data analysis, internet network at Faculty Engineering State University of Semarang has QoS value was 3,5 with 87,5 % of percentage and classified in satisfying of category. When measuring the network performance, there are decreases of performance at access point that having data rates 150 Mbps with many users connected. It has 9,0 ms of delay value, 0.046 ms of jitter, 16,6% of packet loss and, 1293407 bps of throughput. After token bucket was applied as flow control mechanism that be simulated on Graphical Network Simulator 3, the internet network has QoS values 3,75 with 93,75 % of percentage and classified as “satisfying” category. Furthermore, the percentage of the throughput value obtained on network by implementing flow control is 62%, while on the existing network is 41%.</p>

scholarly journals OPTIMIZATION OF WIRELESS NETWORK PERFORMANCE USING THE HIERARCHICAL TOKEN BUCKET (CASE STUDY: MUHAMMADIYAH UNIVERSITY OF PALEMBANG)

2019 ◽  
Vol 1 (1) ◽  
pp. 49-59
Author(s):  
Yukos Pratama ◽  
Heri Suroyo
Keyword(s):  
Quality Of Service ◽  
Packet Loss ◽  
Network Performance ◽  
High Mobility ◽  
Bandwidth Management ◽  
Token Bucket ◽  
Very High ◽  
Tree Method

Computer networks have penetrated into various fields including education for the learning process which is used as a medium for delivering scientific concepts to be more attractive and easily accepted. The Muhammadiyah University of Palembang currently has very high mobility, both used for browsing information, downloading data and using other facilities. For the need for bandwidth management to manage each passing data so that the distribution of bandwidth becomes evenly distributed by using the queue tree method that is applied to the proxy. To evaluate internet bandwidth analyze QoS (Quality of Service) using typhoid standardization in terms of measurement of throughput, delay, and packet loss. The results of this study show that the quality of the network with the hierarchical token bucket method is more optimal, this is because the bandwidth will be divided according to the rules applied to bandwidth management and does not cause clients to fight over bandwidth

scholarly journals ANALISIS QUALITY OF SERVICE VIDEO STREAMING YOUTUBE DAN RMA WLAN DI POLITEKNIK NEGERI SRIWIJAYA

2020 ◽  
Vol 22 (2) ◽  
pp. 93
Author(s):  
Suroso Suroso ◽  
Ciksadan Ciksadan ◽  
Sholihatun Sholihatun
Keyword(s):  
Quality Of Service ◽  
Action Research ◽  
Packet Loss ◽  
Wireless Lan ◽  
Network Performance ◽  
Educational Institution ◽  
Video Quality ◽  
Good Condition ◽  
Ip Address

Sriwijaya State Polytechnic is an educational institution that provides wireless hotspots in every lecture building. With the increasing need for internet, especially on Youtube streaming, it is necessary to have an analysis in each lecture building to find out QoS (Quality of Service) and RMA (Reliability, Maintainability, and Availability) on the Wireless LAN network at Sriwijaya State Polytechnic. This study uses the Action Research method. For QoS measurement using wireshark software and Axence netTools by logging in through the hotspot for each department at the Sriwijaya State Polytechnic, to find out the performance of a network using PRTG (Paessler Router Traffic Grapher) software using the ping IP Address sensor will display the availability monitoring results. The results of the largest measurement of maximum bandwidth are 21,639,256 bit / s in the Business Administration Department, for the highest delay and jitter values are 36 ms and 0.050 ms in the KPA building (Administrative Head Office). The result of the largest packet loss is 0.093% in the Department of Electrical Engineering, for the largest throughput is 0.918 Mbit / s at 1080HD video quality in the Accounting Department. Monitoring RMA aims to determine the performance of an internet network with an Availability result of 99%, this is categorized in good condition. It can be concluded that the QoS measurement results based on the TIPHON version are categorized as very good and the RMA monitoring results have good network performance results as well.Keyword: Streaming Youtube, Parameter QoS, wireshark, RMA ABSTRAKPoliteknik Negeri Sriwijaya merupakan salah satu instansi pendidikan yang menyediakan wireless hotspot di setiap gedung kuliah. Dengan adanya kebutuhan internet yang semakin meningkat khususnya pada streaming Youtube  maka perlu adanya analisis disetiap gedung kuliah untuk mengetahui QoS (Quality of Servie) dan RMA (Reliability, Maintainability, and Availability) pada jaringan Wireless LAN di Politeknik Negeri Sriwijaya . Penelitian ini menggunakan  metode Action Research. Untuk pengukuran QoS menggunakan software wireshark dan Axence netTools dengan cara login melalui hotspot untuk masing-masing jurusan di Politeknik Negeri Sriwijaya sedangkan untuk mengetahui kinerja dari sebuah jaringan menggunakan software PRTG (Paessler Router Traffic Grapher) dengan menggunakan sensor ping IP Address akan menampilkan hasil monitoring availability. Hasil pengukuran terbesar bandwidth maksimal yaitu 21,639,256 bit/s di Jurusan Adminstrasi Bisnis, untuk  nilai delay  dan jitter tertinggi yaitu 36 ms dan 0,050 ms di gedung KPA (Kantor Pusat Administrasi). Hasil packet loss terbesar yaitu 0,093% pada Jurusan Teknik Elektro, untuk troughput  terbesar yaitu 1,681 Mbit/s pada kualitas video 1080HD pada Jurusan Akuntansi. Monitoring RMA bertujuan untuk mengetahui kinerja dari suatu jaringan internet dengan hasil Availability sebesar 99% hal ini dikategorikan dalam kondisi yang baik. Dapat disimpulkan  hasil  pengukuran  QoS berdasarkan versi TIPHON hasilnya dikategorikan sangat bagus dan untuk hasil monitoring RMA memiliki hasil kinerja jaringan  yang baik juga.Kata Kunci: Streaming Youtube, Parameter QoS, wireshark, RMA 

scholarly journals Optimization of quality of service parameters for efficient channel allocation

2018 ◽  
Vol 7 (3) ◽  
pp. 1220
Author(s):  
Aditya Saxena ◽  
Jyoti Singhai ◽  
Deepak Raghuvanshi
Keyword(s):  
Quality Of Service ◽  
Packet Loss ◽  
Network Performance ◽  
Channel Allocation ◽  
Optimization Technique ◽  
Mac Layer ◽  
Medium Access ◽  
Delay Jitter ◽  
Queueing Delay

The bandwidth-intensive network applications with aggressive quality of service (QoS) requirements requires fast and efficient networks. The wireless network performance is impacted due to multitude of data transport at uneven transmission rates on various channels and line losses leading to congestion. It is a big challenge to achieve the required QoS by managing delay, jitter, bandwidth and packet loss parame-ters on a network. This paper highlights the major causes affecting QoS and proposes an optimization technique which allocates the channel dynamically by integrating all the parameters affecting QoS across network layer, medium access control (MAC) layer and physical layer. The proposed algorithm utilizes the feedback parameters namely queueing delay, packet priority and timeout, MAC layer contention delay and packet loss ratio as inputs and a closed loop processing control for the scheduler based on fuzzy logic control (FLC). Hence, the algo-rithm is more realistic and considers the line conditions. The simulation results show that the proposed algorithm is faster and utilizes the overall network more efficiently.   

Measurement of Quality of Service (QoS) in File Sharing Applications with the Android-Based Client Server Method

2018 ◽  
Vol 6 (1) ◽  
pp. 39-49
Author(s):  
Doni Priadi
Keyword(s):  
Quality Of Service ◽  
Packet Loss ◽  
Network Performance ◽  
Quality Of Data ◽  
Web Browser ◽  
Client Server ◽  
Data Packets ◽  
Hypertext Transfer Protocol ◽  
Size Data

In this research, an application is made that can make it easier to transfer files or data by utilizing a wifi connection on a network and then transferring files via a web browser using Hypertext Transfer Protocol (HTTP) server technology which will be installed on an Android-based smartphone. After that, it is necessary to measure network performance to determine the quality of the network in accessing the application. The measured performance is Quality of Service (QoS), which is a parameter that shows the quality of data packets on the network. Based on the results of measurements carried out by connecting the server to the AH building network and the client accessing from the AI ??building network at the State Polytechnic of Malang, when compared to the ITU-T standard, the application delay is in the very good category, jitter is in the bad category, the throughput value depends on the size. data sent. For packet loss, it is in the very good category. Meanwhile, based on measurements made using the Apache benchmark software, out of the 1000 requests that were tested, none of them failed or failed.

scholarly journals EVALUATION OF VOICE TRANSMISSION QUALITY IN THE LTE NETWORKS

2021 ◽  
pp. 22-26
Author(s):  
Ivan Vetoshko ◽  
Vyacheslav Noskov
Keyword(s):  
Packet Loss ◽  
Loss Rate ◽  
Services Quality ◽  
Loss Ratio ◽  
High Quality ◽  
Packet Loss Ratio ◽  
Lte Networks ◽  
Voice Transmission ◽  
Lte Network

Background. LTE mobile networks combine packet network technology and radio technology. Parameters of packet and radio subsystems significantly affects the quality of all traffic types transmission, especially telephone traffic, as the most demanding to such parameters of network transmission as delay, jitter and packet loss rate. The recommendations of the International Telecommunication Union and the documents of the partner organization of telecommunications operators (3GPP) contain hypothetical reference models, targets for end-to-end connection quality, and lists the factors that affect the quality (QoS) of VoLTE services. In addition, the network points are shown where you need to measure the quality of telephone traffic and tools for quality assessment. The quality of telephony services is assessed according to the E-model using the method of determining the mean opinion score (MOS). However, this technique is intended primarily to determine the MOS during the network planning. To calculate the MOS in a working network, you have to measure such network performance first such as voice delay and packet loss rate. This article presents the method of calculating MOS in the LTE network based on the E-model and presents the results of practical quality studies. Objective. The purpose of this article is research the impact of delay and packet loss ratio and voice codec characteristics in the real LTE network on quality of telephone services. Methods. Analysis of factors affecting on telephone services quality and analysis MOS assessment methods. Practical studies of the delay and packet loss ratio affect the MOS level in various conditions of radio coverage and network load. Results. Practical results of delay and packet loss ratio influence on the telephone services quality in the LTE network. Calculated MOS based on the practically measured delay and packet loss ratio. Conclusions. The combination of packet technologies, modern AMR-WB codecs and QoS support mechanisms in the LTE networks provides high quality perception of voice messages at the level of not less than 4 on the MOS scale. With a delay not exceeding 180 ms, a sufficiently high quality of voice transmission is ensured (MOS ≈ 4). VoLTE technology using the AMR-WB codec is quite resistant to packet loss and provides high quality perception of voice messages at a packet loss ratio of up to 1%.

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