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dc.contributor.authorAgus, Fahrul
dc.contributor.authorHaviluddin, Haviluddin
dc.date.accessioned2020-01-17T02:26:08Z
dc.date.available2020-01-17T02:26:08Z
dc.date.issued2016-10-21
dc.identifier.isbn9780735414815
dc.identifier.urihttp://repository.unmul.ac.id/handle/123456789/3603
dc.description.abstractNumerical computation packages are widely used both in teaching and research. These packages consist of license (proprietary) and open source software (non-proprietary). One of the reasons to use the package is a complexity of mathematics function (i.e., linear problems). Also, number of variables in a linear or non-linear function has been increased. The aim of this paper was to reflect on key aspects related to the method, didactics and creative praxis in the teaching of linear equations in higher education. If implemented, it could be contribute to a better learning in mathematics area (i.e., solving simultaneous linear equations) that essential for future engineers. The focus of this study was to introduce an additional numerical computation package of Scilab as an alternative low-cost computing programming. In this paper, Scilab software was proposed some activities that related to the mathematical models. In this experiment, four numerical methods such as Gaussian Elimination, Gauss-Jordan, Inverse Matrix, and Lower-Upper Decomposition (LU) have been implemented. The results of this study showed that a routine or procedure in numerical methods have been created and explored by using Scilab procedures. Then, the routine of numerical method that could be as a teaching material course has exploited.en_US
dc.language.isoenen_US
dc.publisherThe 1st International Conference on Mathematics, Science, and Computer Science (ICMSC) 2016en_US
dc.subjectscilab; Gaussian Elimination; Gauss-Jordan; Inverse Matrix; Lower-Upper Decomposition (LU)en_US
dc.titleScilab Software as an Alternative Low-Cost Computing in Solving the Linear Equations Problemen_US
dc.typeArticleen_US


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