Menyelesaikan Soal Matematika HOTS Pecahan dan Satuan Berat di Sekolah Dasar

Silvy Aristiani, Wafiq Azizah, Regina Dewi Setyowati, Riskha Miftakhul Afidah, Rissa Prima Kurniawati

Abstract


Kemampuan computational thinking merupakan salah satu keterampilan abad ke-21 yang penting untuk dikembangkan dalam pembelajaran matematika karena mendukung kemampuan siswa dalam memecahkan masalah secara logis, sistematis, dan efisien. Penelitian ini bertujuan untuk mendeskripsikan kemampuan computational thinking siswa sekolah dasar dalam menyelesaikan soal matematika berbasis Higher Order Thinking Skills (HOTS) pada materi pecahan dan satuan berat. Penelitian menggunakan pendekatan deskriptif kualitatif dengan melibatkan lima siswa kelas VI sebagai subjek penelitian yang dipilih berdasarkan hasil tes awal. Pengumpulan data dilakukan melalui tes uraian HOTS dan dokumentasi hasil pekerjaan siswa. Analisis data menggunakan model analisis interaktif melalui tahapan reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa empat subjek mampu memenuhi seluruh indikator computational thinking, yaitu decomposition, pattern recognition, abstraction, dan algorithmic thinking dengan kategori sangat baik. Sementara itu, satu subjek masih mengalami kesulitan pada indikator pattern recognition sehingga memengaruhi proses penyelesaian masalah. Temuan penelitian menunjukkan bahwa kemampuan computational thinking berperan penting dalam membantu siswa menyelesaikan soal matematika HOTS secara sistematis serta menjadi dasar pengembangan strategi pembelajaran yang mendukung keterampilan berpikir tingkat tinggi di sekolah dasar.


Keywords


Computational Thinking, HOTS, Matematika, Pecahan, Sekolah Dasar.

Full Text:

PDF

References


Chinofunga, M. D., Chigeza, P., & Taylor, S. (2025). How can procedural flowcharts support the development of mathematics problem-solving skills? Mathematics Education Research Journal, 37(1), 85–123. https://doi.org/10.1007/s13394-024-00483-3

Ezeamuzie, N. O., Leung, J. S. C., & Ting, F. S. T. (2022). Unleashing the Potential of Abstraction From Cloud of Computational Thinking: A Systematic Review of Literature. Journal of Educational Computing Research, 60(4), 877–905. https://doi.org/10.1177/07356331211055379

Fusch, P., Fusch, G. E., & Ness, L. R. (2018). Denzin’s Paradigm Shift: Revisiting Triangulation in Qualitative Research. Journal of Social Change, 10(1), 19–32. https://doi.org/10.5590/josc.2018.10.1.02

Gravemeijer, K., Stephan, M., Julie, C., Lin, F.-L., & Ohtani, M. (2017). What Mathematics Education May Prepare Students for the Society of the Future? International Journal of Science and Mathematics Education, 15(S1), 105–123. https://doi.org/10.1007/s10763-017-9814-6

Hall, S., & Liebenberg, L. (2024). Qualitative Description as an Introductory Method to Qualitative Research for Master’s-Level Students and Research Trainees. International Journal of Qualitative Methods, 23, 1–5. https://doi.org/10.1177/16094069241242264

Jannah, S. M. (2026). Exploring higher order thinking skills ( HOTs ) through lecturers ’ beliefs and practices in teaching speaking skills.

Kurniawati, I., Guntur, M., & Sofiasyari, I. (2022). Mathematics Problem-Solving Ability of Elementary School Students in Solving Hots Type of Mathematics Problems. Journal of Education and Learning Mathematics Research (JELMaR), 3(2), 190–196. https://doi.org/10.37303/jelmar.v3i2.91

Lehmann, T. H. (2023). Using algorithmic thinking to design algorithms: The case of critical path analysis. The Journal of Mathematical Behavior, 71, 101079. https://doi.org/10.1016/j.jmathb.2023.101079

Liu, Z., Gearty, Z., Richard, E., Orrill, C. H., Kayumova, S., & Balasubramanian, R. (2024). Bringing computational thinking into classrooms: a systematic review on supporting teachers in integrating computational thinking into K-12 classrooms. International Journal of STEM Education, 11(1). https://doi.org/10.1186/s40594-024-00510-6

Lodi, M., & Martini, S. (2021). Computational Thinking, Between Papert and Wing. Science and Education, 30(4), 883–908. https://doi.org/10.1007/s11191-021-00202-5

Maharani, S., Ardiana, A., & Andari, T. (2024). Examining prospective mathematics teachers’ computational thinking through the lens of cognitive style. JRAMathEdu (Journal of Research and Advances in Mathematics Education). https://doi.org/10.23917/jramathedu.v9i2.10442

Maharani, S., Nusantara, T., As’ari, A. R., & Qohar, Abd. (2020). Computational Thinking : Media Pembelajaran CSK (CT-Sheet for Kids) dalam Matematika PAUD. Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini, 5(1), 975–984. https://doi.org/10.31004/obsesi.v5i1.769

Muhammad, I. (2024). Computational Thinking Research in Mathematics Learning in the Last Decade : A Bibliometric Review To cite this article : Muhammad , I ., Rusyid , H . K ., Maharani S ., & Angraini , L . M . ( 2024 ). Computational International Journal of Education in Ma.

Nordby, S. K., Bjerke, A. H., & Mifsud, L. (2022). Computational Thinking in the Primary Mathematics Classroom: a Systematic Review. Digital Experiences in Mathematics Education, 8(1), 27–49. https://doi.org/10.1007/s40751-022-00102-5

Olivares, D., Lupiáñez, J. L., & Segovia, I. (2021). Roles and characteristics of problem solving in the mathematics curriculum: a review. International Journal of Mathematical Education in Science and Technology, 52(7), 1079–1096. https://doi.org/10.1080/0020739X.2020.1738579

Reinsfield, B. &. (2016). Pedagogical strategies for teaching computational thinking in authentic contexts.

Rytilä, J. (2026). Making up mathematical reality : a dual grounding model of mathematical social construction. 1–32.

Santos-Trigo, M. (2024). Problem solving in mathematics education: tracing its foundations and current research-practice trends. ZDM - Mathematics Education, 56(2), 211–222. https://doi.org/10.1007/s11858-024-01578-8

Schoenfeld, A. H. (2016). Learning to Think Mathematically: Problem Solving, Metacognition, and Sense Making in Mathematics (Reprint). Journal of Education, 196(2), 1–38. https://doi.org/10.1177/002205741619600202

Septriansyah, A., Imamuddin, M., Apriyanti, D., & Pelitawaty, M. D. (2022). Students’ Mathematical Problem Solving Skills in Solving HOTS Problems. Edumatika : Jurnal Riset Pendidikan Matematika, 5(2). https://doi.org/10.32939/ejrpm.v5i2.1604

Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142–158. https://doi.org/10.1016/j.edurev.2017.09.003

Suarsana, I. M., Herman, T., Nurlaelah, E., Irianto, & Pacis, E. R. (2024). Computational Thinking in Mathematics Education Across Five Nations. Indonesian Journal of Educational Research and Review, 7(1), 26–35. https://doi.org/10.23887/ijerr.v7i1.68202

Sutama, Yusrina, H., Narimo, S., Harsono, Novitasari, M., & Adnan, M. (2024). Mathematics Learning Model Based on Computational Thinking: Preparing elementary School Students to be Disciplined, Independent, and Dignified. Journal of Law and Sustainable Development, 12(1), 1–23. https://doi.org/10.55908/sdgs.v12i1.3086

Thanheiser, E. (2023). What is the Mathematics in Mathematics Education? The Journal of Mathematical Behavior, 70, 101033. https://doi.org/10.1016/j.jmathb.2023.101033

Torkildsen, H. A., Forbregd, T. A., Kaspersen, E., & Solstad, T. (2025). Toward a unified account of definitions in mathematics education research: a systematic literature review. International Journal of Mathematical Education in Science and Technology, 56(1), 29–56. https://doi.org/10.1080/0020739X.2023.2180678

V.A. Lambert, C. E. L. (2012). Editorial: Qualitative Descriptive Research: An Acceptable Design. Scholarly Inquiry and the DNP Capstone, (4), 255–256.

Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., & Wilensky, U. (2016). Defining Computational Thinking for Mathematics and Science Classrooms. Journal of Science Education and Technology, 25(1), 127–147. https://doi.org/10.1007/s10956-015-9581-5

Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35. https://doi.org/10.1145/1118178.1118215

Wing, J. M. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 366(1881), 3717–3725. https://doi.org/10.1098/rsta.2008.0118

Wu, T. T., Asmara, A., Huang, Y. M., & Permata Hapsari, I. (2024). Identification of Problem-Solving Techniques in Computational Thinking Studies: Systematic Literature Review. SAGE Open, 14(2), 1–20. https://doi.org/10.1177/21582440241249897

Wu, W.-R., & Yang, K.-L. (2022). The relationships between computational and mathematical thinking: A review study on tasks. Cogent Education, 9(1). https://doi.org/10.1080/2331186X.2022.2098929

Ye, H., Liang, B., Ng, O. L., & Chai, C. S. (2023). Integration of computational thinking in K-12 mathematics education: a systematic review on CT-based mathematics instruction and student learning. International Journal of STEM Education, 10(1). https://doi.org/10.1186/s40594-023-00396-w


Refbacks

  • There are currently no refbacks.