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All Journal International Journal of Electrical and Computer Engineering KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) ZERO : Jurnal Sains, Matematika dan Terapan Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Mantik Penusa SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JIPN (Journal of Informatics Pelita Nusantara) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Zero : Jurnal Sains, Matematika, dan Terapan JURTEKSI Jurnal Mantik TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Jurnal Teknik Informatika C.I.T. Medicom Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Jurnal Sistem Informasi dan Teknologi Jaringan International Journal of Basic and Applied Science Jurnal Media Informatika INTERNATIONAL JOURNAL OF EDUCATION, INFORMATION TECHNOLOGY, AND OTHERS
Vinsensia, Desi
STMIK Pelita Nusantara Medan
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A Improve refinement approach iterative method for solution linear equition of sparse matrices Vinsensia, Desi; Utami, Yulia; Siregar, Fathia; Arifin, Muhammad
Jurnal Teknik Informatika C.I.T Medicom Vol 15 No 6 (2024): January : Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cit.Vol15.2024.721.pp306-313

Abstract

In this paper, systems of linear equations on sparse matrices investigated through modified improve method using Gauss-Seidel and successive overrelaxation (SOR) approach. Taking into adapted convergence rate on the Improve refinement Gauss-seidel outperformed the prior two Gauss-Seidel methods in terms of rate of convergence and number of iterations required to solve the problem by applying a modified version of the Gauss-Seidel approach. to observe the effectiveness of this method, the numerical example is given. The main findings in this study, that Gauss seidel improvement refinement gives optimum spectral radius and convergence rate. Similarly, the SOR improved refinement method gives. Considering their performance, using parameters such as time to converge, number of iterations required to converge and spectral radius level of accuracy. However, SOR works with relaxation values so that it greatly affects the convergence rate and spectral radius results if given greater than 1.
Co-Authors Abdul Rahman Hakim Abdul Rahman Hakim Addini, Puteri Fadjar Adelia Febriana Agustina Simangunsong Amala, Dwi Novia Amri, Siskawati Angga Ramadhan Arya Riski Tarigan Aura Nissa Awaluddin Fitra Awawdeh, Benavides Khan Bausch, Nocedals Bertesh Chandra, Suherman Dedy Frianto Devie Indah Wulandari Efendi, Syahril Elisa Purba Erwin Pangabean Erwin Panggabean Fitra, Awaludin Fristi Riandari Hengki Tamando Sihotang Herman Mawengkang Ida Ayu Putu Sri Widnyani Jannah, Nadiyatul Jonhariono Sihotang Kartika Lubis, Risa Khairul Azmi Khairunnisa Khairunnisa Kiky Maulana Logaraj Logaraj Lubis, Risa Kartika Merlin Helentina Napitupulu Mestriawan Barasa Mian Sari Simanjuntak Mochamad Wahyudi Muhammad Arifin Muhammad Zarlis Nandiyantul Jannah Nuraisana Nuraisana Pria Muslim pria muslim harahap Purba, Elisa Purba, Elisa Rahmawida, Joya Ravindran Rina Nanda Hanifa Risa Kartika Lubis Ritha Zahara Tarigan Senjaya, Chessie Paquita Sianturi, Ariani Natalia Sihotang, Jonhariono Siregar, Fathia Siskawati Amri Sulastri Sulastri Sulastri Tiara W Pratiwi Utami, Yulia Wanra Tarigan Zarina, Siti