Comparative Analysis of Network Quality Using QOS Parameters on Mikrotik Routers Using the Queue Tree and Simple Queue Methods

IF 2.4 Q2 ENGINEERING, INDUSTRIAL International Journal of Industrial Engineering and Management Pub Date : 2023-02-26 DOI:10.52088/jaiem.v1i1.12
Anni Zulfia, Dahlan Abdullah, F. Fajriana
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Abstract

The research was conducted by researchers at Trienggadeng State Vocational School located on Jl Banda Aceh-Medan KM 152, Kec. Trienggadeng Regency. Pidie Jaya. This research is based on the importance of the network in the ongoing teaching and learning process in the network and computer labs, the network in the lab is currently not managed properly and the distribution of bandwidth is not evenly distributed. To get a good internet connection, it is necessary to distribute bandwidth evenly, which can be done using a proxy router. One of the features for distributing bandwidth evenly in the proxy router can be applied using the simple queue and queue tree methods, knowing network quality can be done using Quality of Service (QoS) measurements. This study aims to determine the analysis of network quality using Qos on proxy routers using the simple queue and queue tree methods. The method used in this study is to use the action research method (action research), the stages of the research are analyzing, data collection, data completeness, making network designs, and taking action. The results obtained for network analysis in a comparative study between simple queue and queue tree networks, the results for the delay obtained by the queue tree are 9 ms, packet loss = 0%, and throughput = 549 k. Whereas the simple queue obtains the value from the QoS measurement by performing calculations with the equation formula to obtain a value of delay = 8 ms, packet loss = 0.15% and throughput = 629 k. Based on the Tiphon standard, it can be concluded that for delay, a queue tree is better with a value above the simple queue with a very good index, the packet loss queue tree is better than the simple queue, the index is very good, the throughput of the simple queue is better compared to the throughput queue tree. This research shows that overall Queue Tree is more optimal for QoS.
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基于队列树和简单队列方法的微型路由器上基于QOS参数的网络质量比较分析
这项研究是由位于Jl Banda Aceh-Medan KM 152的Trienggadeng州立职业学校的研究人员进行的。Trienggadeng摄政。位于Pidie Jaya。本研究是基于网络和计算机实验室在不断进行的教学过程中网络的重要性,目前实验室网络管理不到位,带宽分布不均匀。为了获得良好的互联网连接,有必要均匀地分配带宽,这可以使用代理路由器来完成。在代理路由器中均匀分配带宽的特性之一可以使用简单的队列和队列树方法来实现,知道网络质量可以使用服务质量(QoS)度量来实现。本研究旨在使用简单队列和队列树方法确定代理路由器上使用Qos的网络质量分析。本研究采用的方法是使用行动研究方法(action research),研究的阶段为分析、数据收集、数据整理、网络设计、采取行动。网络分析的结果之间的比较研究简单的队列和队列树网络延迟的结果通过队列树9女士,包丢失= 0%,和吞吐量= 549 k。而简单的队列获取价值的QoS测量通过执行计算方程公式获得的值延迟= 8,女士包丢失和吞吐量= 629 k = 0.15%。Tiphon标准的基础上,可以得出结论,延误,队列树的值比简单队列好,索引很好,丢包队列树比简单队列好,索引很好,简单队列的吞吐量比吞吐量队列树好。研究表明,整体队列树对于QoS来说是最优的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Industrial Engineering and Management
International Journal of Industrial Engineering and Management Business, Management and Accounting-Business, Management and Accounting (miscellaneous)
CiteScore
5.00
自引率
17.20%
发文量
22
审稿时长
21 weeks
期刊介绍: International Journal of Industrial Engineering and Management (IJIEM) is an interdisciplinary international academic journal published quarterly. IJIEM serves researchers in the industrial engineering, manufacturing engineering and management fields. The major aims are: To collect and disseminate information on new and advanced developments in the field of industrial engineering and management; To encourage further progress in engineering and management methodology and applications; To cover the range of engineering and management development and usage in their use of managerial policies and strategies. Thus, IJIEM invites the submission of original, high quality, theoretical and application-oriented research; general surveys and critical reviews; educational or training articles including case studies, in the field of industrial engineering and management. The journal covers all aspects of industrial engineering and management, particularly: -Smart Manufacturing & Industry 4.0, -Production Systems, -Service Engineering, -Automation, Robotics and Mechatronics, -Information and Communication Systems, -ICT for Collaborative Manufacturing, -Quality, Maintenance and Logistics, -Safety and Reliability, -Organization and Human Resources, -Engineering Management, -Entrepreneurship and Innovation, -Project Management, -Marketing and Commerce, -Investment, Finance and Accounting, -Insurance Engineering and Management, -Media Engineering and Management, -Education and Practices in Industrial Engineering and Management.
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