Profil Capaian Matematika Siswa Aceh Berdasarkan Tes Kemampuan Akademik 2025
Analisis Lintas Jenjang dan Implikasi Kebijakan
DOI:
https://doi.org/10.61693/elhadhary.vol402.2026.144-168Kata Kunci:
Aceh, Kesenjangan pendidikan, literasi data, literasi matematika, numerasi, tes kemampuan akademikAbstrak
Penelitian ini mengkaji profil capaian matematika siswa Aceh berdasarkan data Tes Kemampuan Akademik (TKA) 2025 yang dirilis Pusat Asesmen Pendidikan, mencakup 101.015 siswa SD, 94.884 siswa SMP, dan 80.492 siswa SMA/SMK. Pendekatan yang digunakan adalah deskriptif kuantitatif atas data sekunder. Capaian dipetakan per domain (Bilangan, Aljabar, Geometri dan Pengukuran, Data dan Peluang/Ketidakpastian), kemudian dianalisis pola kesenjangannya terhadap rerata nasional. Tiga temuan utama diperoleh. Pertama, Aceh konsisten berada di bawah rerata nasional pada ketiga jenjang, dengan jarak terlebar di SD (-5,72 poin) dan tersempit di SMA/SMK (-1,79 poin). Kedua, domain Data (penyajian, pembacaan diagram, dan literasi statistika) berulang kali muncul sebagai titik terlemah pada semua jenjang, dengan gap mencapai -9,35 poin pada butir interpretasi data di SD. Ketiga, ketika butir SMP dan SMA/SMK diklasifikasikan berdasarkan level kognitif Pengetahuan-Aplikasi-Penalaran, kesenjangan terbukti lebih ditentukan oleh topik konten spesifik (literasi data, KPK-FPB, barisan dan deret aritmetika) daripada oleh kompleksitas kognitif butir soal. Temuan tersebut dikontekstualisasikan dengan kerangka literasi matematika PISA dan domain kognitif TIMSS. Hasil ini memperkuat temuan sebelumnya mengenai adanya kesulitan siswa dalam literasi data, yang selama ini lebih banyak terdokumentasi melalui studi-studi berskala lokal di Indonesia. Implikasi kebijakan yang direkomendasikan adalah penguatan pembelajaran literasi data sejak jenjang SD, disertai intervensi berbasis topik spesifik.
Unduhan
Referensi
Aditomo, A., & Felicia, N. (2018). Ketimpangan mutu dan akses pendidikan di Indonesia. Kilas Pendidikan, 17. wp-content/uploads/2026/02/Kilas-Pendidikan-Edisi-17_Ketimpangan-Mutu-dan-Akses-Pendidikan-di-Indonesia-1.pdf
Batanero, C., Godino, J. D., Vallecillos, A., Green, D. R., & Holmes, P. (1994). Errors and difficulties in understanding elementary statistical concepts. International Journal of Mathematical Education in Science and Technology, 25(4), 527–547.
Beatty, A., Berkhout, E., Bima, L., Coen, T., & Pradhan, M. (2021). Schooling progress, learning reversal: Indonesia’s learning profiles between 2000 and 2014. International Journal of Educational Development, 85, 102436. https://doi.org/10.1016/j.ijedudev.2021.102436
Bursal, M., & Yetis, S. (2020). Middle school students’ graph skills and affective states about graphs. International Journal of Research in Education and Science, 6(4), 692–704. https://doi.org/10.46328/ijres.v6i4.1136
Callingham, R., & Watson, J. M. (2017). The development of statistical literacy at school. Statistics Education Research Journal, 16(1), 181–201. https://doi.org/https://doi.org/10.52041/serj.v16i1.223
Choi, K. M., & Hong, D. S. (2017). When Knowing Basic Skills and Procedures Is Not Enough. In What Matters? Research Trends in International Comparative Studies in Mathematics Education (pp. 315–331). Springer. https://doi.org/https://doi.org/10.1007/978-3-319-51187-0_17
Darmawan, I. G. N. (2020). Quality and equity of student performance in mathematics in Indonesia, Malaysia, Singapore, Thailand and Vietnam. In Critical Perspectives on Teaching, Learning and Leadership: Enhancing Educational Outcomes (pp. 123–144). Springer. https://doi.org/https://doi.org/10.1007/978-981-15-6667-7_7
Dewi, A. U. (2021). Curriculum reform in the decentralization of education in Indonesia: Effect on students’ achievements. Cakrawala Pendidikan, 40(1), 158–169. https://doi.org/10.21831/cp.v40i1.33821
Fointuna, D. W. (2021). Applying Mamdani’s method to categorize mathematical literacy of public middle school students in Kupang. In Journal of Physics: Conference Series (Vol. 1957, Issue 1, p. 12009). IOP Publishing. https://doi.org/10.1088/1742-6596/1957/1/012009
Franconeri, S. L., Padilla, L. M., Shah, P., Zacks, J. M., & Hullman, J. (2021). The science of visual data communication: What works. Psychological Science in the Public Interest, 22(3), 110–161. https://doi.org/10.1177/15291006211051956
Gaffney, T. W., Cudeck, R., Ferrer, E., & Widaman, K. F. (2010). On the factor structure of standardized educational achievement tests. Journal of Applied Measurement, 11(4), 384.
Geary, D. C. (2017). Developmental change in the influence of domain-general abilities and domain-specific knowledge on mathematics achievement: An eight-year longitudinal study. Journal of Educational Psychology, 109(5), 680–693. https://doi.org/https://doi.org/10.1037/edu0000159
Gebre, E. H. (2022). Conceptions and perspectives of data literacy in secondary education. British Journal of Educational Technology, 53(5), 1080–1095. https://doi.org/10.1111/bjet.13246
Gradini, E. (2019). Menilik Konsep Kemampuan Berpikir Tingkat Tinggi (Higher-order Thinking Skills) dalam Pembelajaran Matematika. Numeracy, 6(2), 189–203. https://doi.org/https://doi.org/10.46244/numeracy.v6i2.475
Hafiyusholeh, M., Budayasa, K., & Siswono, T. Y. E. (2018). Statistical literacy: High school students in reading, interpreting and presenting data. Journal of Physics: Conference Series, 947(1), 12036. https://doi.org/10.1088/1742-6596/947/1/012036
Harks, B., Klieme, E., Hartig, J., & Leiss, D. (2014). Separating cognitive and content domains in mathematical competence. Educational Assessment, 19(4), 243–266. https://doi.org/https://doi.org/10.1080/10627197.2014.964114
Herlambang, S. B., Nusantara, D. S., & Pasaribu, F. T. (2025). Portrait of Junior High School Students’ Statistical Literacy through PISA on Uncertainty and Data Content. Jurnal Pendidikan Matematika Universitas Lampung, 13(4), 217–228. https://doi.org/https://doi.org/10.23960/mtk/v13i4.pp217-228
Jailani, J., Retnawati, H., Wulandari, N. F., & Djidu, H. (2020). Mathematical literacy proficiency development based on content, context, and process. Problems of Education in the 21st Century, 78(1), 80. https://doi.org/https://doi.org/10.33225/pec/20.78.80
Kemendikbudristek. (2022). Rapor Pendidikan Indonesia 2022. Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi.
Kismiantini, K., & Setiawan, E. P. (2024). Examining Mathematics Achievement of Students from Different Provinces: What PISA 2018 says about Indonesia? Southeast Asian Mathematics Education Journal, 14(1), 15–30. https://doi.org/https://doi.org/10.46517/seamej.v14i1.331
Kusaeri, K., Hamdani, A. S., & Suprananto, S. (2019). Learning outcome of mathematics and science: Features of Indonesian madrasah students. Jurnal Penelitian Dan Evaluasi Pendidikan, 23(2), 145–155. https://doi.org/https://doi.org/10.21831/pep.v23i1.24881
Luschei, T. F. (2017). 20 Years of TIMSS: Lessons for Indonesia. Indonesian Research Journal in Education, 1(1), 6–17. https://doi.org/https://doi.org/10.22437/irje.v1i1.4333
Martin, A. J., Way, J., Bobis, J., & Anderson, J. (2018). Achievement in large-scale national numeracy assessment: An ecological study of motivation and student, home, and school predictors. Journal of Educational Psychology, 110(4), 465–482. https://doi.org/https://doi.org/10.1037/edu0000231
Mokgwathi, M. S. (2026). Closing the Gap in Early Mathematics: Domain and Cognitive Insights from TIMSS 2023 in South Africa and Singapore. F1000Research, 14, 1209. https://doi.org/https://doi.org/10.12688/f1000research.172015.1
Mullis, I. V. S., & Martin, M. O. (2017). TIMSS 2019 Assessment Frameworks. TIMSS & PIRLS International Study Center, Boston College.
Nahdi, D. S., Jatisunda, M. G., Cahyaningsih, U., Kurino, Y. D., Juliar, E., & Bilda, W. (2021). Statistical literacy analysis of pre-service elementary teachers education. Journal of Physics: Conference Series, 1764(1), 12126. https://doi.org/10.1088/1742-6596/1764/1/012126
Nixon, R. S., Vander Laan, P. E., & Zakis, D. (2014). A comparison of TIMSS items using cognitive domains. School Science and Mathematics, 114(2), 65–75. https://doi.org/https://doi.org/10.1111/ssm.12054
Nortvedt, G. A., & Buchholtz, N. (2018). Assessment in mathematics education: Responding to issues regarding methodology, policy, and equity. ZDM Mathematics Education, 50(4), 555–570. https://doi.org/10.1007/s11858-018-0963-z
OECD. (2019). PISA 2018 Results (Volume I): What Students Know and Can Do. OECD Publishing. https://doi.org/10.1787/5f07c754-en
OECD. (2023). PISA 2022 Results (Volume I): The State of Learning and Equity in Education. OECD Publishing. https://doi.org/10.1787/53f23881-en
Ohno, R. (2019). Study on regional disparity of academic achievement in Indonesia. 2nd International Conference on Research of Educational Administration and Management (ICREAM 2018), 212–215. https://doi.org/https://doi.org/10.2991/icream-18.2019.43
Pakpahan, R. (2017). Faktor-faktor yang memengaruhi capaian literasi matematika siswa Indonesia dalam PISA 2012. Jurnal Pendidikan Dan Kebudayaan, 2(2), 331–348. https://doi.org/https://doi.org/10.24832/jpnk.v1i3.496
Perbowo, K. S., Anggraeni, D., & Yusnita, D. (2021). Depicting epistemological obstacles in understanding the concept of sequence and series. IndoMath: Indonesia Mathematics Education, 4(1), 1–10. https://doi.org/10.30738/indomath.v4i1.9339
Politi, S. C., & Biramontes, T. (2024). Child development lags and learning trajectories in primary school in Uruguay: Compensation or divergence? Journal for the Study of Education and Development. https://doi.org/https://doi.org/10.1177/02103702241277756
Pritchett, L., & Sandefur, J. (2021). Learning outcomes in developing countries: Four hard lessons from PISA-D. In RISE Working Paper: Vol. 21/069.
Pusat Asesmen Pendidikan, P. A. P. (2025). Hasil Tes Kemampuan Akademik (TKA). Kementerian Pendidikan Dasar dan Menengah. https://tka.kemendikdasmen.go.id/hasiltka/
Rachma, A. A., Herman, T., & Jupri, A. (2021). Students’ obstacles in learning sequence and series using onto-semiotic approach. Jurnal Pendidikan Matematika, 15(2), 189–202. https://doi.org/https://doi.org/10.22342/jpm.15.2.13519.115-132
Rakes, C. R., & Ronau, R. N. (2019). Rethinking mathematics misconceptions: Using knowledge structures to explain systematic errors within and across content domains. International Journal of Research in Education and Science, 5(1), 1–21. https://doi.org/10.13016/M2NB41-XJTL
Retnawati, H., & Wulandari, N. F. (2019). The development of students’ mathematical literacy proficiency. Problems of Education in the 21st Century, 77(4), 502–514. https://doi.org/10.33225/pec/19.77.502
Ruf, V., Horrer, A., Graulich, N., & Bernholt, S. (2024). A systematic review of empirical research on graphing numerical data in K-12 STEM education. International Journal of Science and Mathematics Education, 22(6), 1171–1195. https://doi.org/https://doi.org/10.1007/s10763-026-10653-3
Saputro, B. A., Suryadi, D., Rosjanuardi, R., & Kartasasmita, B. G. (2018). Analysis of students’ errors in responding to TIMSS domain algebra problem. Journal of Physics: Conference Series, 1088, 12031. https://doi.org/10.1088/1742-6596/1088/1/012031
Seah, R., & Booker, G. (2005). Lack of numeration and multiplication conceptual knowledge in middle school students: A barrier to the development of high school mathematics. Stimulating the ‘Action’as Participants in Participatory Research, 3, 86–98. https://research-repository.griffith.edu.au/server/api/core/bitstreams/094e28ea-9b2c-5517-84a3-02eada0199ca/content
Sickler, J., Lentzner, M., Goldsmith, L. T., Brase, L., & Kochevar, R. (2024). Reasoning about data in elementary school: Student strategies and strengths when reasoning with multiple variables. International Journal of Science Education, 46(16), 1736–1756. https://doi.org/https://doi.org/10.1080/09500693.2023.2298214
Simanjuntak, S. D., Hasratuddin, H., & Syahputra, E. (2019). Student’s difficulty analysis through realistic mathematics education using Batak Toba cultures. International Journal of Trends in Mathematics Education Research, 2(4), 178–183. https://doi.org/https://doi.org/10.33122/ijtmer.v1i3.42
Stacey, K. (2011). The PISA View of Mathematical Literacy in Indonesia. Journal of Research on Mathematics Education, 2(2), 95–126. https://ejournal.unsri.ac.id/index.php/jme/article/view/746
Triyani, S., Putri, R. I. I., & Darmawijoyo. (2012). Supporting student’s ability in understanding least common multiple (LCM) concept using storytelling. Journal on Mathematics Education, 3(2), 151–164. https://doi.org/10.22342/jme.3.2.572.151-164
Umbara, U., Munir, M., Susilana, R., & Hamied, F. A. (2019). Re-interpretation of mathematical literacy based on the teacher’s perspective. International Journal of Instruction, 12(4), 547–564. https://doi.org/https://doi.org/10.29333/iji.2019.12450a
Utomo, D. P. (2021). An analysis of the statistical literacy of middle school students in solving TIMSS problems. International Journal of Education in Mathematics, Science and Technology, 9(2), 181–197. https://doi.org/10.46328/ijemst.1552
Unduhan
Diterbitkan
Cara Mengutip
Terbitan
Bagian
Lisensi
Hak Cipta (c) 2026 Ega Gradini, Khairina Khairina

Artikel ini berlisensiCreative Commons Attribution-ShareAlike 4.0 International License.







