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Systematic Literature Review: How students learn linear programming with realistic mathematics education?

Dina Octaria(1), Zulkardi Zulkardi(2Mail), Ratu Ilma Indra Putri(3),
(1) Universitas PGRI Palembang, Palembang, Indonesia
(2) Universitas Sriwijaya, Palembang, Indonesia
(3) Universitas Sriwijaya, Palembang, Indonesia

Mail Corresponding Author

Abstract


This study aims to investigate more deeply the material of linear programming with a realistic mathematics education (RME) approach. This research is a literature study with a descriptive qualitative research type with library research using various written sources such as articles from Springer, ScienceDirect, and Google Scholar. This study focuses on the characteristics of RME, the principles of RME, the steps of learning RME on linear programming material, and examples of implementing RME learning on linear programming material. From the results of previous research, it was found that using the RME approach can help students understand linear programming material. This is because real-life problems in linear programming are in line with realistic principles that exist in the RME principle, namely being able to apply mathematics in solving real-life problems and mathematics must start from problem situations that are meaningful for students.


Keywords


Linear Programming; Realistic Mathematics Education; Systematic Literature Review;

   

Article DOI



DOI: https://doi.org/10.33122/ijtmer.v6i1.174 		       

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Article Pages


Pages: 41-46

   

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References


Amrina, L., & Rosnawati, R. (2019). Using Realistic Mathematics Education approach to learn linear program. Journal of Physics: Conference Series , 1-7.

Baidawi, M., Pertiwi, R. I., & Esti, E. A. (2020). Needs of Students and Lecturers on Linear Programming as an Instructional Strategy in Solving National Economic Problems. Anatolian Journal of Education , 5 (2), 143-150.

Bray, A., & Tangney, B. (2016). Enhancing Student Engagement through the Affordances of Mobile Technology: a 21st century learning perspective on Realistic Mathematics Education. Mathematics Education Research Journal , 28 (1), 173-197.

Charles-Ogan, G., & George, N. R. (2015). Investigating Difficult Concepts in Senior Secondary School Mathematics Curriculum as Perceived by Students. International Journal of Academic Research and Reflection , 3 (6), 67-74.

Clarke, D., & Roche, A. (2017). Using Contextualized Tasks to Engage Students in Meaningful and Worthwhile Mathematics Learning. Journal of Mathematical Behavior , 51, 95-108.

Fadholi, T., Waluya, B., & Mulyono. (2015). Analisis Pembelajaran Matematika dan Kemampuan Literasi serta Karakter Siswa SMK. UJMER: Unnes Journal of Mathematics Education Research , 4 (1), 42-48.

Fauzan, A., Plomp, T., & Gravemeijer, K. (2013). The Development of an RME-based Geometry Course for Indonesian Primary Schools. Dalam Plomp, & N. Nieveen, Educational Design Research-Part B: Illustrative Cases (hal. 159-178). the Netherlands: SLO.

Fernandes, S., & Pereira, J. C. (2018). Providing an Active Learning Environment for Introducing Linear Programming. Portugal: Springer International Publishing.

Handajani, S., Pratiwi, H., & Mardiyana. (2018). The 21st century skills with model eliciting activities on linear program. Journal of Physics: Conference Series , 1-7.

Heuvel-Panhuizen, M. V. (1996). Assessment and Realistic Mathematics Education. Netherlands: Technipress, Culemborg.

Heuvel-Panhuizen, M. V., & Drijvers, P. (2014). Realistic Mathematics Education. Dalam S. Lerman, Encyclopedia of Mathematics Education (hal. 521-525). The Netherlands: Springer.

Hidayat, R., & Iksan, Z. H. (2015). The Effect of Realistic Mathematic Education on Students' Conceptual Understanding of Linear Programming. Creative Education , 6, 2438-2445.

Jazuli, A., Setyosari, P., Sulthon, & Kuswandi, D. (2017). Improving Conceptual Understanding and Problem-Solving in Mathematics through a Contextual Learning Strategy. Global Journal of Engineering Education , 19 (1), 49-53.

Kemendikbud. (2016). Pembelajaran dan Penilaian Mata Pelajaran Matematika Sekolah Menengah Atas/Sekolah Menengah Kejuruan/Madrasah Aiyah/Madrasah Aliyah Kejuruan (SMA/SMK/MA/MAK) Kelompok A (Wajib) dalam Kurikulum 2013. Jakarta: Kementerian Pendidikan dan Kebudayaan.

Laelasari, Darhim, & Prabawanto, S. (2020). Representation Skills Students Reviewed from the Prior Knowledge through Realistic Mathematics Education in a Linear Material Program. Journal of Physics: Conference Series , 1-9.

Lerman, S. (2020). Encyclopedia of Mathematics Education. Switzerland: Springer.

Metal, F., Hartono, Y., & Hapizah. (2018). The Role of Linear Programming Learning Activity Using Mathematical Modelling. Sriwijaya University Learning and Education International Conference (hal. 590-598). Palembang: Sriwijaya University.

Monariska, E., & Komala, E. (2021). Analisis Kemampuan Representasi Matematis Mahasiswa pada Mata Kuliah Program Linear. JES-MAT , 7 (1), 43-58.

NCTM. (2000). Principle and Standardsfor School Mathematics. United States of America: The National Council of Teachers of Mathematics, Inc.

Octaria, D. (2016). Analisis Kesalahan Mahasiswa Serta Upaya Remediasi Dalam Menyelesaikan Soal Simpleks Program Linier. Jurnal Pendidikan Matematika JPM RAFA , 2 (2), 269-279.

OECD. (2019). PISA 2018 Results Combined Executive Summaries Volume I, II & III. New York: Columbia University.

OECD. (2019a). PISA 2018: Insight and Interpretations. Paris: OECD Publishing.

Patrick, M. K. (2020). Using the Realistic Mathematics Education Approach to Enhance the Teaching of Mathematicsl Linear Programming at Technical and Vocational Education Training Colleges. Bloemfontein: University of the Free State.

Putri, R. I., & Zulkardi. (2018). Noticing Students' Thinking and Quality of Interactivity During Mathematics Learning. Advances in Social Science, Education and Humanities Research , 549-553.

Siregar, B. H., & Mansyur, A. (2021). Program Linier dan Aplikasinya pada Berbagai Software. Jakarta: Bumi Aksara.

Sole, M. A. (2016). Multiple Problem Solving Strategies Provide Insight into Students' Understanding of Open-Ended Linear Programming Problems. Primus , 26 (10), 922-937.

Sutiaharni, A., & Permana, D. (2021). Practicality of Realistic Mathematics Education Based Learning Design of Linear Programming For Financial Accounting Major in Vocational High School. Journal of Physics: Conference Series , 1-5.

Trung, N. T., Thao, T. P., & Trung, T. (2018). Realistic Mathematics Education (RME) and Didactical Situations in Mathematics (DSM) in the Context of Education Reform in Vietnam. Journal of Physics: Conference Series , 1-14.

Utaminingsih, R., & Subanji. (2021). Analisis Kemampuan Literasi Matematika Peserta Didik pada Materi Program Linear dalam Pembelajaran Daring. ANARGYA: Jurnal Ilmiah Pendidikan Matematika , 4 (1), 28-37.

Wijayanti, E. (2014). Aplikasi Program Linear dalam Masalah Alokasi dengan Menggunakan Program Dinamik. Ponorogo: Universitas Muhammadiyah Ponorogo.

Xiao, Y., & Watson, M. (2019). Guidance on Conducting a Systematic Literature Review. Journal of Planing Education and Research , 39 (1), 93-112.

Yee, S. P., & Bostic, J. D. (2014). Developing a Contextualization of Students' Mathematical Problem Solving. The Journal of Mathematical Behavior , 36, 1-19.

Yuliana, E., Hartono, Y., & Wijoyo, D. (2019). Enjoyable Learning Linear Programming using Mathematical Modelling. Journal of Physics: Conference Series , 1-8.

Zubainur, C. M., Johar, R., Hayati, R., & Ikhsan, M. (2020). Teachers' Understanding about the Characteristics of Realistic Mathematics Education. Journal of Education and Learning (EduLearn) , 14 (3), 456-462.


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