ANALISIS STRATEGI PENYELESAIAN PROGRAM LINIER MELALUI PENDEKATAN MODEL MATEMATIKA
DOI:
https://doi.org/10.30999/ujmes.v11i1.3781Abstract
Mathematical modeling plays an essential role in mathematics learning, particularly in developing students analytical and problem-solving skills. Linear programming, as one of the core topics in optimization, often presents conceptual difficulties for students when linking abstract mathematical formulations to real-world problems. This study aims to analyze learning strategies for teaching linear programming through the implementation of mathematical modeling to improve students conceptual understanding and reasoning abilities. A descriptive qualitative approach was employed, focusing on literature review and classroom observations related to the used of mathematical models in teaching linear programming. The findings show that incorporating modeling steps-such as problem identification, variable formulation, and interpretation of result-helps students comprehend abstract mathematical ideas more effectively. Moreover, the integration of mathematical modeling encourages active learning and promotes students engagement in solving contextual problems. In conclusion, the use of mathematical modeling as a learning strategy provides a meaningful framework that enhances understanding, crirical thinking, and problem-solving skills in linear programming instruction.
References
Arseven, A. (2015). Mathematical Modelling Approach in Mathematics Education. Universal Journal of Educational Research, 3(12), 973–980. https://doi.org/10.13189/ujer.2015.031204
Gregory, E. D., Schneck, W. C., & Frankforter, E. L. (2021). swSim: Solid wave simulation. SoftwareX, 14, 100698. https://doi.org/10.1016/j.softx.2021.100698
Hauda, N., Zulkardi, Z., & Susanti, E. (2023). Kemampuan Pemodelan Matematika Siswa pada Topik Program Linear Konteks Palembang Lamonde. Indiktika : Jurnal Inovasi Pendidikan Matematika, 6(1), 44–56. https://doi.org/10.31851/indiktika.v6i1.13116
Hidayat, R., & Iksan, Z. H. (2015). The Effect of Realistic Mathematic Education on Students’ Conceptual Understanding of Linear Progamming. Creative Education, 06(22), 2438–2445. https://doi.org/10.4236/ce.2015.622251
Hochmuth, R., Peters, J., Rønning, F., & Winsløw, C. (2025). Modelling mathematics for educational research and practice: a comparison of two theoretical approaches. Educational Studies in Mathematics, 118(2), 153–168. https://doi.org/10.1007/s10649-024-10368-8
Kenney, R., An, T., Kim, S. H., Uhan, N. A., Yi, J. S., & Shamsul, A. (2020). Linear Programming Models: Identifying Common Errors in Engineering Students’ Work with Complex Word Problems. International Journal of Science and Mathematics Education, 18(4), 635–655. https://doi.org/10.1007/s10763-019-09980-5
Octaria, D., Zulkardi, Z., & Putri, R. I. I. (2023). Systematic Literature Review: How students learn linear programming with realistic mathematics education? International Journal of Trends in Mathematics Education Research, 6(1), 41–46. https://doi.org/10.33122/ijtmer.v6i1.174
Rocha, H., & Babo, A. (2024). Problem-solving and mathematical competence: A look to the relation during the study of Linear Programming. Thinking Skills and Creativity, 51(January), 101461. https://doi.org/10.1016/j.tsc.2023.101461
Yuliana, E., Hartono, Y., & Wijoyo, D. (2019). Enjoyable learning linear programming using mathematical modelling. Journal of Physics: Conference Series, 1166(1). https://doi.org/10.1088/1742-6596/1166/1/012035
Ziatdinov, R., & Valles, J. R. (2022). Synthesis of Modeling, Visualization, and Programming in GeoGebra as an Effective Approach for. Teaching and Learning STEM Topics. Mathematics, 10(3), 398.
3.jpg)
