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Interval: Indonesian Journal of Mathematical Education

an Open Access Journal


Development of Combinatorial Optimization Models with Discrete Mathematics Methods in Mathematical Physics Courses

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  • Purpose of the study: This research aims to develop a combinatorial optimization model based on discrete mathematical methods that can be applied to mathematical physics problems in complex systems, such as molecular energy configurations and viscoelastic system simulations.

    Methodology: The study used a development approach with ADDIE design (Analysis, Design, Development, Implementation, Evaluation). Data were obtained through interviews, simulations, and instrument validation involving lecturers and students of mathematical physics.

    Main Findings: The results of the study showed that the developed model had an average accuracy of 85% and a time efficiency of 2.5 seconds per iteration. This model also received positive feedback from users, with an average satisfaction score of 4.6 out of 5.

    Novelty/Originality of this study: The novelty of the research lies in the integration of discrete mathematical methods with combinatorial optimization to solve complex mathematical physics problems.

  • How to cite

    Development of Combinatorial Optimization Models with Discrete Mathematics Methods in Mathematical Physics Courses. (2023). Interval: Indonesian Journal of Mathematical Education, 1(2), 110-117. https://doi.org/10.37251/ijome.v1i2.1354
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