Analisis Kemampuan Siswa dalam Mengolah Data Sederhana pada Pembelajaran Matematika Dasar Pendidikan Madrasah Ibtidaiyah

Main Article Content

Liza Syahputri Riska Ghusalia Rauzatul Syahira

Abstract

This study aims to analyze the ability of MIN students in processing simple data in basic mathematics learning. The selection of this topic is based on the importance of data processing skills as a foundation for understanding statistics from an early age, yet many students still face difficulties in presenting and interpreting data. The research method used is a qualitative approach with a descriptive type. The subjects of this study were MIN students, and the data were collected through observation, tests, and documentation. The results show that students' ability in processing simple data is at a moderate level. Some students are able to present data in the form of tables, but still have difficulties in understanding and interpreting data accurately. These findings indicate the need for more innovative and interactive learning strategies. Therefore, this study is important as a basis for improving mathematics learning, especially in data processing material,


Complexity students’ ability, data processing, basic mathematics, MIN


 

Article Details

How to Cite
Syahputri, L., Ghusalia, R., & Syahira, R. (2026, July 1). Analisis Kemampuan Siswa dalam Mengolah Data Sederhana pada Pembelajaran Matematika Dasar Pendidikan Madrasah Ibtidaiyah. JURNAL MathEdu (Mathematic Education Journal), 9(2), 73-75. https://doi.org/https://doi.org/10.37081/mathedu.v9i2.8180
Section
Articles

References

Borglet, C. 2003. Finding Association Rules with Apriori Algorithm. http://www.fuzzy.cs.uni-magdeburg.de/~borglet/apriori.pdf, diakses tanggal 23 Februari 2007.
Castleman, Kenneth R. 2004. Digital Image Processing. Vol. 1, Ed. 2, Prentice Hall, New Jersey.
Gonzales, R. P. 2004. Digital Image Processing (Pemrosesan Citra Digital). Vol. 1, Ed. 2, diterjemahkan oleh Handayani, S., Andi Offset, Yogyakarta.
Ivan, A. H. 2005. Desain Target Optimal. Laporan Penelitian Hibah Bersaing, Proyek Multitahun, Dikti, Jakarta.
Prasetya, E. 2006. Case Based Reasoning untuk Mengidentifikasi Kerusakan Bangunan. Tesis, Program Pascasarjana Ilmu Komputer, Universitas Gadjah Mada, Yogyakarta.
Wallace, V. P., Bamber, J. C., dan Crawford, D. C. 2000. “Classification of Reflectance Spectra from Pigmented Skin Lesions, A Comparison of Multivariate Discriminate Analysis and Artificial Neural Network.” Journal Physical Medical Biology. Vol. 3, No. 45, 2859–2871.
Wyatt, J. C., dan Spiegelhalter, D. 1991. “Field Trials of Medical Decision-Aids: Potential Problems and Solutions.” Dalam Clayton, P. (Ed.), Proceeding of 15th Symposium on Computer Applications in Medical Care. Vol. 1, Ed. 2, McGraw Hill Inc, New York.
Wyatt, J. C., dan Spiegelhalter, D. 2008. “Field Trials of Medical Decision-Aids: Potential Problems and Solutions.” Proceeding of 15th Symposium on Computer Applications in Medical Care, Washington, 3 Mei.
Xavier Pi-Sunyer, F., Becker, C., Bouchard, R. A., Carleton, G. A., Colditz, W., Dietz, J., Foreyt, R., Garrison, S., dan Grundy, B. C. 1998. “Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults.” Journal of National Institutes of Health. Vol. 4, No. 3, 123–130. http://journals.lww.com/acsm-msse/Abstract/1998/11001/paper_treatment_of_obesity.pdf.
Yusoff, M., Rahman, S. A., Mutalib, S., dan Mohammed, A. 2006. “Diagnosing Application Development for Skin Disease Using Backpropagation Neural Network Technique.” Journal of Information Technology. Vol. 18, 152–159.