Evaluasi Hasil Belajar Matematika melalui Media Interaktif RStudio dengan Uji Wilcoxon
Abstract
Mathematics learning is often considered difficult by students because the concept is abstract, especially the topic of systems of linear inequalities in two variables (SPtLDV). The limitations of visualization in conventional learning lead to low conceptual understanding and impact student learning outcomes. Learning media that can present interactive visual representations are needed to help students understand mathematical concepts concretely. This study aims to evaluate students' mathematics learning outcomes after using RStudio-based interactive learning media on the topic of SPtLDV. This study used a quantitative approach, involving 36 grade X students of SMA Negeri 1 Kefamenanu. Learning outcome data were obtained through pretest and posttest. Data analysis was carried out using descriptive statistics, boxplot visualization to illustrate data distribution, and the Wilcoxon signed-rank test at a significance level of 5% to test the difference in scores before and after learning. The results of the analysis showed that the average posttest score was higher than the pretest, accompanied by a shift in the distribution of scores towards a higher direction in the boxplot visualization. The Wilcoxon signed-rank test showed a significant difference between the pretest and posttest scores (p < 0.05). These findings indicate that the use of RStudio-based interactive learning media is associated with improved student learning outcomes the topic of SPtLDV. This research contributes to the development of statistical software as an interactive visualization medium to support mathematics learning at the secondary school level.
Keyword: Interactive Learning Media, RStudio, Mathematics Learning Outcomes.
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Azkia, N. F., Muin, A., & Dimyati, A. (2023). Pengaruh media pembelajaran digital terhadap hasil belajar matematika: meta analisis. JPMI (Jurnal Pembelajaran Matematika Inovatif), 6(5), 1873–1886. https://doi.org/10.22460/jpmi.v6i5.18629
Boadu, S. K., & Boateng, F. O. (2024). Enhancing students’ achievement in mathematics education in the 21st century through technology integration, collaborative learning, and student motivation: The mediating role of student interest. EURASIA Journal of Mathematics, Science and Technology Education, 20(11), em2534. https://doi.org/10.29333/ejmste/15622
Chen, X., Zou, D., Xie, H., & Wang, F. L. (2021). Past, present, and future of smart learning: a topic-based bibliometric analysis. International Journal of Educational Technology in Higher Education. 18(1). https://doi.org/10.1186/s41239-020-00239-6
Halla, A. L. A., Simarmata, J. E., & Kehi, Y. J. (2025). Pengaruh Kemandirian Belajar Terhadap Hasil Belajar Matematika Siswa Kelas XI SMA Negeri Taekas Menggunakan Analisis Structural Equation Modeling ( SEM ). 2(2), 47–58. https://doi.org/10.30599/xmw4tc87
Kholik, C. F., & Muthi, I. (2024). Penggunaan Media Pembelajaran Wordwall Terhadap Peningkatan Minat Belajar Matematika Siswa Sekolah Dasar Chintia Febrina Kholik [1] , Ibnu Muthi [2]. Jurnal Ilmiah Multidisiplin, 2(7), 1–6.
Nurmasita, I., Hartoyo, A., & Zubaidah, Z. (2022). Korelasi Antara Kemandirian Belajar Dan Hasil Belajar Matematika Kelas X SMK Negeri 3 Pontianak. Berajah Journal, 2, 347–354. https://doi.org/10.47353/bj.v2i2.99
Putri, D. A., & Putri, H. E. (2026). Analysis of Students Spatial Thinking Ability Improvement Through Story Maps Learning Using the Wilcoxon Signed Rank Test. OMEGA: Jurnal Keilmuan Pendidikan Matematika, 5(1), 159–166. https://doi.org/10.47662/jkpm.v5i1.1146
Ramdan, M. G. A. R., & Lessa Roesdiana. (2022). Analisis Kemampuan Penalaran Matematis Siswa SMP Pada Materi Teorema Phytagoras. Jurnal Educatio FKIP UNMA, 8(1), 386–395. https://doi.org/10.31949/educatio.v8i1.1996
Sauddin, A., & Astuti, R. (2023). Pembelajaran Statistik Deskriptif dan Statistik Inferensial Berbasis Web dengan Shiny R. 9(2), 211–219. https://doi.org/10.31605/saintifik.v9i2.413
Sievert, C. (2020). Interactive web-based data visualization with R, plotly, and shiny. CRC Press.
Simarmata, J. E., Chrisinta, D., & Purnomo, M. (2025). Implementation of RShiny in Developing Interactive Learning Media for Analysis of Variance (ANOVA). Journal of Research in Mathematics Trends and Technology, 7(1), 12–20. https://doi.org/10.32734/jormtt.v7i1.20167
Simarmata, J. E., Chrisinta, D., Purnomo, M., & Hijriani, L. (2025). Jurnal Pengabdian Masyarakat. Jurnal Pengabdian Masyarakat, 4, 38–45. https://doi.org/10.32665/padimas.v4i02.5657
Simarmata, J. E., Purnomo, M., Fallo, K., & Chrisinta, D. (2025). Evaluasi Media Pembelajaran Digital Matematika Menggunakan Integrasi Analisis Korespondensi Berganda dan Klasterisasi K-Medoids. Media Pendidikan Matematika, 13(2), 953–969. https://doi.org/10.33394/mpm.v13i2.18442
Van Bork, R., Rhemtulla, M., Waldorp, L. J., Kruis, J., Rezvanifar, S., & Borsboom, D. (2021). Latent variable models and networks: Statistical equivalence and testability. Multivariate Behavioral Research, 56(2), 175–198. https://doi.org/10.1080/00273171.2019.1672515
Worang, N. A., Mintjelungan, M. M., & Takaredase, A. (2021). Pengaruh Pembelajaran Berbasis Multimedia Terhadap Hasil Belajar Desain Multimedia Interaktif Siswa SMK. Edutik: Jurnal Pendidikan Teknologi Informasi Dan Komunikasi, 1(3), 241–250.
Zianur, M., Pasha, R., & Dewi, L. K. (2025). Pengaruh Animasi Pembelajaran Terhadap Hasil Belajar IPA Peserta Didik Kelas VII SMPN 30 Banjarmasin. 06(02), 84–92. https://doi.org/10.20527/j-instech.v6i2.15621
DOI: https://doi.org/10.31932/j-pimat.v8i1.6172
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