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All Journal Saintia Matematika Sinkron : Jurnal dan Penelitian Teknik Informatika Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat Data Science: Journal of Computing and Applied Informatics Budimas : Jurnal Pengabdian Masyarakat SEPREN: Journal of Mathematics Education and Applied Journal of Computer Networks, Architecture and High Performance Computing Journal of Research in Mathematics Trends and Technology FARABI: Jurnal Matematika dan Pendidikan Matematika Leibniz: Jurnal Matematika Journal of Mathematics Technology and Education Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Jurnal Pengabdian Pancasila (JPP) Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Journal of Mathematics, Computation and Statistics (JMATHCOS) Konstanta : Jurnal Matematika dan Ilmu Pengelatuan Alam
Asima Manurung
Program Studi Diploma Teknik Informatika, Fakultas Vokasi, Universitas Sumatera Utara
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Journal : data science journal of computing and applied informatics

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Randomness of Poisson Distributed Random Number in the Queue System Ernestasia; Esther Nababan; Asima Manurung
Data Science: Journal of Computing and Applied Informatics Vol. 3 No. 2 (2019): Data Science: Journal of Computing and Applied Informatics (JoCAI)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (626.521 KB) | DOI: 10.32734/jocai.v3.i2-1128

Abstract

In the queuing system, inter arrival variable and service time variable are probabilistic and its pattern follow a Poisson distribution. Simulations experiment for performance measurement of a queuing system required random data. In practice, random data is built using an application program. Pseudorandom data generated from application programs often have different patterns of randomness, although in each experiment simulated the same data distribution. Level of randomness may cause the results of simulation experiments experienced statistically significant deviations, especially on problems with stochastic variables. Statistical deviation can cause errors in interpreting the results of simulation experiments, especially in the assessment of the performance of the queuing system. It is required to evaluate whether the level of randomness of pseudorandom data effect on simulation results of performance measurement of a system. Simulation experiments on a simple queuing system (M / M / 1) was carried out by using a pseudorandom number generator. Application program used to generate pseudorandom numbers is Fortran90. The experimental results show that the greater the amount of pseudorandom data, the greater the statistical deviations occur, and the smaller the degree of randomness of data. This affects the results of the simulation system in which there is a probabilistic variable that require random data to conduct simulation
Co-Authors Abdul Munif Ade Maulana Aida Rahayu Anastasya Bernike Br Ginting Br Tarigan, Enita Dewi Citra Dewi Hasibuan Desmon Gunadi Siagian Elly Rosmaini Elvin Juliani Gulo Enita Dewi Br Tarigan Enita Dewi Tarigan Ernestasia Erwin Esther Nababan Gopinda Surbakti Indradewa, Rhian John Putra S Tampubolon Karyanus Daely Katrin Jenny Sirait Kerin Gibson Nainggolan Manik, Yessi Mardina Marbun, James Piter Mardiningsih Mardiningsih Marpaung, J.L. Marpaung, T.J. Marpaung, Tulus Joseph Herianto Nababan, Esther Sorta Mauli Nainggolan, Kerin Gibson Normalina Napitupulu Oktani Haloho Open Darnius Pane, Rahmawati Parapat Gultom Pasukat Sembiring Pasukat Sembiring Rahayu, Aida Retno Budiarti Reza Taqyuddin Riana Sekar Sari Rosmaida Zendrato Sari, Riana Sekar Simangungsong, Monalisa Siringoringo, Yan Batara Putra Sutarman Sutarman Syahputra, Muhammad Romi Tarigan, Enita Dewi br. Ujian Sinulingga Yanti, Maulida Yessica Thania Silaban Yudhistira Adhitya Pratama Yudhistira Adhitya Pratama Zahedi Zahedi Zahedi