RANCANG BANGUN QOS (QUALITY OF SERVICE) JARINGAN WIRELESS LOCAL AREA NETWORK MENGGUNAKAN METODE NDLC (NETWORK DEVELOPMENT LIFE CYCLE) DI PT TRIMITRA KOLABORASI MANDIRI (3KOM)
DOI:
https://doi.org/10.31000/jika.v5i1.3970Abstrak
Tujuan penelitian ini adalah untuk memberikan Quality of Service yang baik bagi seluruh pengguna internet dalam suatu jaringan dengan cara memanajemen bandwidth dengan metode Peer Connection Queue (PCQ) menggunakan Queue Tree. Latar belakang penelitian ini adalah karena sering terjadi pembagian bandwidth yang tidak merata pada setiap user dalam suatu jaringan yang mengakibatkan satu user dapat mengakses internet dengan lebih cepat dan user lain mengakses internet dengan lebih lambat dibanding user lainnya. Dengan menerapkan metode Peer Connection Queue (PCQ) menggunakan Queue Tree, maka setiap user yang mengakses internet akan mendapatkan alokasi bandwidth yang merata. Pengujian menggunakan Mikrotik RouterBoard dengan beberapa komputer yang disambungkan via wired dan beberapa perangkat yang disambungkan melalui jaringan wireless. Hasil penelitian menunjukan bahwa manajemen bandwidth dengan metode PCQ menggunakan Queue Tree memberikan hasil yang lebih baik dibandingkan tanpa menggunakan PCQ sebab dengan menggunakan PCQ semua user yang tergabung dalam satu jaringan mendapatkan alokasi bandwidth yang sama rata antara satu dan yang lain sehingga pengguna merasa adil. Yang mana artinya Quality of Service yang diberikan oleh penyedia jaringan sudah sangat baik.
Â
Kata Kunci : Bandwidth, Queue Tree, Quality of Service, QoS, Peer Connection Queue, PCQ, Mikrotik, Delay, Jitter, Throughput, Network Development Life Cylce (NDLC).
Referensi
Pagala, Muhammad Syarif. 2017. OPTIMALISASI MANAJEMEN BANDWIDTH JARINGAN KOMPUTER MENGGUNAKAN METODE QUEUE TREE DAN PCQ (PEER CONNECTION QUEUE). Kendari : Universitas Halu Oleo.
Pratama, I Putu Agus Eka. 2015. HANDBOOK JARINGAN KOMPUTER TEORI DAN PRAKTIK BERBASISKAN OPEN SOURCE. Bandung : Informatika.
Sofian, Iwan. 2017. JARINGAN KOMPUTER BERBASIS MIKROTIK. Bandung : Informatika.
Towidjojo, Rendra. 2016. MIKROTIK KUNGFU KITAB 1. Palu: Jasakom.
Towidjojo, Rendra. 2016. MIKROTIK KUNGFU KITAB 2. Palu: Jasakom.
Towidjojo, Rendra. 2016. MIKROTIK KUNGFU KITAB 3. Palu: Jasakom.
Unduhan
Diterbitkan
Terbitan
Bagian
Lisensi
License and Copyright Agreement
In submitting the manuscript to the journal, the authors certify that:
- They are authorized by their co-authors to enter into these arrangements.
- That it is not under consideration for publication elsewhere,
- That its publication has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
- They secure the right to reproduce any material that has already been published or copyrighted elsewhere.
- They agree to the following license and copyright agreement.
Copyright
Authors who publish with International Journal of Advances in Intelligent Informatics agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.Â
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
Licensing for Data Publication
International Journal of Advances in Intelligent Informatics use a variety of waivers and licenses, that are specifically designed for and appropriate for the treatment of data:
Open Data Commons Attribution License, http://www.opendatacommons.org/licenses/by/1.0/ (default)
Creative Commons CC-Zero Waiver, http://creativecommons.org/publicdomain/zero/1.0/
Open Data Commons Public Domain Dedication and Licence, http://www.opendatacommons.org/licenses/pddl/1-0/
Other data publishing licenses may be allowed as exceptions (subject to approval by the editor on a case-by-case basis) and should be justified with a written statement from the author, which will be published with the article.
Open Data and Software Publishing and Sharing
The journal strives to maximize the replicability of the research published in it. Authors are thus required to share all data, code or protocols underlying the research reported in their articles. Exceptions are permitted but have to be justified in a written public statement accompanying the article.
Datasets and software should be deposited and permanently archived inappropriate, trusted, general, or domain-specific repositories (please consult http://service.re3data.org and/or software repositories such as GitHub, GitLab, Bioinformatics.org, or equivalent). The associated persistent identifiers (e.g. DOI, or others) of the dataset(s) must be included in the data or software resources section of the article. Reference(s) to datasets and software should also be included in the reference list of the article with DOIs (where available). Where no domain-specific data repository exists, authors should deposit their datasets in a general repository such as ZENODO, Dryad, Dataverse, or others.
Small data may also be published as data files or packages supplementary to a research article, however, the authors should prefer in all cases a deposition in data repositories.
