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Deli Sains Informatika
Published by Universitas Deli Sumatera
ISSN : -     EISSN : 28281330     DOI : -
Core Subject : Science,
Computer Science & IT
Deli Informatics Science: is a scientific journal in the field of computer science and informatics. Deli Informatics Science is published twice a year (6 months), namely in June and December. Deli Computer Science aims to publish research in the field of computer science that focuses on the publication of qualitative scientific papers on the latest information on computer science developments. Submitted articles will be reviewed by the Review Team (Mitra Bestari). All articles submitted must be original reports, results of previously unpublished research. Articles submitted to the journal Deli Informatics Science should not be published elsewhere before there is a decision from the editorial board. The script must follow the writing style provided and must go through the peer-review process by applying the concept of Double Blind Review.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 11 Documents
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Search results for , issue "Vol. 1 No. 2 (2022): Artikel Riset Juni 2022" : 11 Documents clear
PERPADUAN METODE QUEUE TREE DAN FL7 DALAM EFISIENSI PENGGUNAAN BANDWIDTH BERBASIS ROUTER Aulia Ichsan; Muhammad Zulfansyuri Siambaton
Deli Sains Informatika Vol. 1 No. 2 (2022): Artikel Riset Juni 2022
Publisher : LPPM Universitas Deli Sumatera

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Abstract

The availability of internet bandwidth management on the UISU campus is considered necessary for further design, because the available bandwidth management has a simple concept and the use of bandwidth is deemed to be more efficient. Some of the impacts are that the distribution of bandwidth is not more structured (each client does not have a definite bandwidth guarantee when the number of bandwidth users/traffic is dense, fellow internet users overlap each other resulting in a tendency to gain more bandwidth on certain clients only (not equally), pattern filtering data such as streaming traffic or certain websites are easy to access, resulting in no opportunity to save bandwidth usage. The solutions for some of these indications have been carried out by previous researchers but are not efficient enough if applied to large campus networks such as UISU. Therefore this research will develop using a combination of methods, namely Queue Tree by utilizing traffic priority, Commited Information Rate/Maximum Information Rate and the FL7 method to define certain data patterns in the text url so that the use of bandwidth availability is more efficient. using the average value parameter (avg rate) using a mikrotik OS router and packet ICMP parameters using throughput, delay, jitter and packet loss. Keywords: The combination of Queue Tree and FL7 methods; bandwidth efficiency; parameter.

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