Efektivitas Unplugged Coding untuk Meningkatkan Berpikir Komputasi dalam Pembelajaran Matematika Siswa Sekolah Dasar
DOI:
https://doi.org/10.15642/jrpm.2025.10.2.77-90Keywords:
Unplugged coding, Computational thinking, MathematicsAbstract
This study aims to (1) Measure the improvement in students' computational thinking skills before (pretest) and after (posttest) the implementation of Unplugged Coding-based mathematics learning; (2) To compare the improvement in computational thinking skills between the experimental and control groups; and (3) To analyze the aspects of computational thinking (decomposition, pattern recognition, abstraction and algorithms, and evaluation) that showed the most significant development. The study used a quasi-experimental design with a sample of 31 fourth-grade students from SD Negeri Dukuh Sari 1 Sidoarjo, and 31 students from SD Negeri Waru 1 Sidoarjo. Data was collected using a test technique that assessed computational thinking ability. The data were analyzed using ANOVA to test for differences in final abilities between groups, while controlling for initial abilities (pretest scores). The prerequisite tests were normality and homogeneity tests. This study concluded that: (1) There was a very significant increase in computational thinking skills in the experimental group with a gain score of 45.5 points, (2) Unplugged Coding was significantly more effective than conventional learning (F = 662.18; p < 0.001; η² = 0.917), and (3) The algorithm and decomposition aspects showed the most dominant development.
Downloads
References
Angeli, C., & Giannakos, M. (2020). Computational thinking education: Issues and challenges. Computers in human behavior, 105, 106185. https://doi.org/10.1016/j.chb.2019.106185
Ary, D., Jacobs, L., Irvine, C., & Walker, D. (2019). Introduction to research in education 10th edth ed. Boston (MA): Cengage Learning.
Azwar, S. (2022). Penyusunan skala psikologi edisi 2. Yogyakarta: Pustaka pelajar.
Barcelos, T. S., Muñoz-Soto, R., Villarroel, R., Merino, E., & Silveira, I. F. (2018). Mathematics learning through computational thinking activities: a systematic literature review. J. Univers. Comput. Sci., 24(7), 815-845.
Barr, V., & Stephenson, C. (2011). Bringing computational thinking to K-12: What is involved and what is the role of the computer science education community? ACM inroads, 2(1), 48-54. https://doi.org/10.1145/1929887.1929905
Bell, T., & Vahrenhold, J. (2018). CS unplugged-how is it used, and does it work? In Adventures between lower bounds and higher altitudes (pp. 497-521). Springer, Cham.
Binkley, M., Erstad, O., Herman, J., Raizen, S., Ripley, M., Miller-Ricci, M., & Rumble, M. (2011). Defining twenty-first century skills. In Assessment and teaching of 21st century skills (pp. 17-66). Dordrecht: Springer Netherlands.
Bordens, K. S., & Abbott, B. B. (2002). Research design and methods: A process approach. New York: McGraw-Hill.
Brackmann, C. P., Román-González, M., Robles, G., Moreno-León, J., Casali, A., & Barone, D. (2017, November). Development of computational thinking skills through unplugged activities in primary school. In Proceedings of the 12th workshop on primary and secondary computing education (pp. 65-72).
Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
Dağ, F., Şumuer, E., & Durdu, L. (2023). The effect of an unplugged coding course on primary school students' improvement in their computational thinking skills. Journal of Computer Assisted Learning, 39(6), 1902-1918. https://doi.org/10.1111/jcal.12850
Field, A. (2024). Discovering statistics using IBM SPSS statistics. Sage publications limited.
Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2019). How to design and evaluate research in education (11th ed.). McGraw-Hill Education.
Fukuyama, M. (2018). Society 5.0: Aiming for a new human-centered society. Japan spotlight, 27(5), 47-50.
Hattie, J. (2012). Visible learning for teachers: Maximizing impact on learning. Routledge.
Huang, W., & Looi, C. K. (2021). A critical review of literature on “unplugged” pedagogies in K-12 computer science and computational thinking education. Computer Science Education, 31(1), 83-111. https://doi.org/10.1080/08993408.2020.1789411
Mardianto, N. F. D., & Yahfizham, Y. (2024). Systematic Literature Review: Penerapan Berpikir Komputasi Dalam Pembelajaran Matematika. Journal of Student Research, 2(4), 41-55.
Nasution, W. R., & Aslan, A. (2025). Integrasi mata pelajaran coding dan kecerdasan buatan (ai) dalam kurikulum sekolah dasar sebagai upaya meningkatkan keterampilan abad ke-21. Journal of Community Dedication, 4(4), 225-236.
O'Donnell, A. M. et al. (2024). Educational psychology. John Wiley & Sons.
Pallant, J. (2020). SPSS survival manual: A step by step guide to data analysis using IBM SPSS. Routledge.
Pramesti, S. L. D., & Dewi, H. L. (2024). Computational Thinking: Konsep dan Aplikasi dalam Kurikulum Pembelajaran Matematika. Penerbit NEM.
Rich, K. M., Strickland, C., Binkowski, T. A., & Franklin, D. (2019, February). A K-8 debugging learning trajectory derived from research literature. In Proceedings of the 50th ACM technical symposium on computer science education (pp. 745-751).
Selby, C., & Woollard, J. (2013). Computational thinking: the developing definition. University of Southampton.
Silvia, R. D., & Pramasdyahsari, A. S. (2023). Analisis kemampuan computational thinking siswa pada materi aljabar ditinjau dari pemecahan masalah matematis. Prismatika: Jurnal Pendidikan Dan Riset Matematika, 5(2), 176-190.
Subawa, I. G. B., Agustini, K., Pradnyana, I. M. A., & Sugihartini, N. (2025, October). penguatan kompetensi dasar guru sekolah dasar melalui pengenalan computational thinking dan aktivitas unplugged coding di Desa Ngis-Karangasem. In Seminar Nasional Pengabdian kepada Masyarakat (Vol. 10, No. 1).
Sugiyono, D. (2014). Metode penelitian pendidikan.
Wing, J. (2017). Computational thinking’s influence on research and education for all. Italian journal of educational technology, 25(2), 7-14.
Yadav, A., Stephenson, C., & Hong, H. (2017). Computational thinking for teacher education. Communications of the ACM, 60(4), 55-62. https://doi.org/10.1145/2994591
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Wiryanto, Khujaimah, Neni Mariana

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.







