Manajemen Bandwidth dan Pengguna Jaringan Pada Universitas Atma Jaya Makassar

Sean Coonery Sumarta

Abstract

This research is focus on how to optimize the usage of bandwidth at the University of Atma Jaya Makassar to provide fluency either online or offline while accessing the service of UAJM.In this research user management to be made using the Hotspot management and for Management bandwidth will be created using the queue tree and per connection queuing (PCQ). Queue tree used to allocate bandwidth to each user category and is used to divide the bandwidth PCQ fairly and evenly.

Keywords: hotspot, queue tree, per connection queuing (PCQ)

Full Text:

PDF

References

Rizal, J., “Optimasi Pada Traveling Salesman Problem (TSP) dengan Pendekatan Simulasi Annealing”, Jurusan Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Bengkulu, Indonesia, 2007.

Ma, Fangfang dan Li, 2009, “An algorithm in solving the TSP based on the improved Genetic Algorithm ”, Fundamental Department, Shandong University of Science and Technology, Tai'an, China, The 1st International Conference on Information Science and Engineering (ICISE).

Sutojo, T. dkk., “ Kecerdasan Buatan”, Penerbit Andi, Yogyakarta, 2010.

Kusum dan Hadush, “Combined Mutation Operators of Genetic Algorithm for the Travelling Salesman problem”, International Journal of Combinatorial Optimization Problems and Informatics, Vol. 2, No.3, Sep-Dec 2011.

Yingying Yu, dkk., 2011, “A New Design of Genetic Algorithm for Solving TSP”, Transportation Management College Dalian Maritime University Dalian, China, Fourth International Joint Conference on Computational Sciences and Optimization,.

Abramson, D., andAbela, 1992, A ParallelGenetic AlgoritmFor Solving The School Timetabling Problem, 15 Australian Computer Science Conference (ACS-15), 29 – 31 january, pp – 11

Bambrick ., 1997, Lecturer Timetabling Using Genetic Algoritm, Thesis, University of Queensland.

Mahmudy, WF, Marian, RM & Luong, LHS 2014, 'Hybrid genetic algorithms for part type selection and machine loading problems with alternative production plans in flexible manufacturing system', ECTI Transactions on Computer and Information Technology (ECTI‐CIT), vol. 8, no. 1, pp. 80-93.

Rahman Erama dan Retantyo Wardoyo, 2013, Modifikasi Algoritma Genetika Untuk Penyelesaian Permasalahan Penjadwalan Pelajaran Sekolah, Prosiding Seminar Nasional Ilmu Komputer 2013, Indonesia Computer and Instrumentation Support Society (indoCEIS), pp-47

Riska Hardini Purnamasari , Implementasi Algoritme Genetika Untuk Pencarian Rute Minimum Dalam Travelling Salesman Problem, Universitas Komputer Indonesia, 2009

Refbacks

  • There are currently no refbacks.