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All Journal AKSIOMA: Jurnal Program Studi Pendidikan Matematika SCHOOL EDUCATION JOURNAL PGSD FIP UNIMED AlphaMath: Journal of Mathematics Education Jurnal PAJAR (Pendidikan dan Pengajaran) Pendas : Jurnah Ilmiah Pendidikan Dasar Indiktika : Jurnal Inovasi Pendidikan Matematika JURNAL LINER (Language Intelligence and Educational Research) Journal on Education MES: Journal of Mathematics Education and Science Didaktik : Jurnal Ilmiah PGSD STKIP Subang Budapest International Research and Critics in Linguistics and Education Journal (Birle Journal) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Prosiding Konferensi Nasional PKM-CSR Jurnal MathEducation Nusantara Prosiding Seminar Nasional Universitas Serambi Mekkah SWARNA Natural Science Education Research (NSER) Jurnal Sains Student Research Jurnal Pengabdian Masyarakat dan Riset Pendidikan JURNAL RUMPUN MANAJEMEN DAN EKONOMI Riemann : Research of Mathematics and Mathematics Education SWARNA: Jurnal Pengabdian Kepada Masyarakat
Ribka Kariani Br Sembiring
Universitas Katolik Santo Thomas
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Revealing Students’ Computational Thinking Error Patterns in Solving Two-Variable Linear Inequality Systems Israil Sitepu; Delvi Kristiani Jaluhu; Sinta Dameria Simanjuntak; Ribka Kariani br Sembiring
AlphaMath : Journal of Mathematics Education Alphamath: Vol. 12, No. 1, May 2026
Publisher : Department of Mathematics Education, Universitas Muhammadiyah Purwokerto, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/alphamath.v12i1.30386

Abstract

This study aims to identify and describe patterns of students’ computational thinking errors in solving systems of linear inequalities in two variables. Specifically, it examines errors occurring at each stage of computational thinking, such as problem decomposition, pattern recognition, abstraction, and algorithm construction, as well as the underlying factors contributing to these errors. A qualitative descriptive approach was employed. The participants consisted of 36 tenth-grade students. Data were collected through written tests, observation, and semi-structured interviews to explore students’ cognitive processes in depth. The data were analyzed through data reduction, data display, and conclusion drawing. The findings indicate that students experienced errors at all stages of computational thinking. Students encountered difficulties identifying relevant information during problem decomposition, recognizing conceptual relationships during pattern recognition, transforming problems into appropriate mathematical representations during abstraction, and constructing systematic solution procedures during algorithm construction. These errors were primarily attributed to insufficient conceptual understanding, difficulties in interpreting problem statements, and limitations in formulating effective problem-solution strategies. These findings provide valuable insights into students’ learning difficulties and may serve as a foundation for designing more effective instructional strategies to enhance students’ computational thinking skills.
PENGARUH PENDEKATAN DEEP LEARNING BERBANTUAN QUIZIZZ UNTUK MENINGKATKAN KEMAMPUAN PENALARAN MATEMATIS SISWA Sianturi, Ecavia Alverna; Ribka Kariani Sembiring; Frida Marta Argareta Simorangkir
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 03 (2026): Volume 11 No. 03, September 2026 Release
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i03.56939

Abstract

This study aims to determine the differences in students' mathematical reasoning abilities between those using the Quizizz-assisted deep learning approach and conventional learning and to determine the improvement in students' mathematical reasoning abilities using the Quizizz-assisted deep learning approach compared to students using conventional learning. This study is a quantitative study with a quasi-experimental method using a pretest-posttest control group design. The population in this study were all grade X students of SMA Santo Yoseph Medan. The sample of this study consisted of two classes, namely class X-3 as the experimental class and class X-2 as the control class, each consisting of 29 students. The research instrument used was a mathematical reasoning ability test that had met the requirements of validity, reliability, discriminating power, and level of difficulty. Data analysis was carried out using the normality test, homogeneity test, t-test, and N-Gain index. The results of this study showed that the average posttest score of the experimental class was 77.59, higher than the control class of 61.72. The t-test results show that t_count = 5.769 and t_table = 2.045 so that t_count>t_table. In addition, the Sig. (2-tailed) value is 0.000 <0.05. These results indicate that there is a difference in mathematical reasoning ability between students who use the quizizz-assisted deep learning approach and students who use conventional learning. The results of the N-Gain analysis show that the average N-Gain of the experimental class is 0.64 and the control class is 0.39, both of which are in the moderate category. Thus, it can be concluded that the quizizz-assisted deep learning approach provides a higher increase in mathematical reasoning ability than conventional learning.
Profiling Prospective Mathematics Teachers’ 4C Skills through Case-Based Assessment in a Statistics Methods Course Israil Sitepu; Sinta Dameria Simanjuntak; Ribka Kariani Sembiring
Riemann: Research of Mathematics and Mathematics Education Vol. 8 No. 2 (2026): EDISI AGUSTUS
Publisher : Program Studi Pendidikan Matematika Universitas Katolik Santo Agustinus Hippo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38114/riemann.v8i2.216

Abstract

The integration of 21st-century competencies, particularly critical thinking, communication, creativity, and collaborative awareness, has become an important focus in higher education, including statistics education for prospective mathematics teachers. However, assessment practices in statistics courses continue to emphasize procedural calculations rather than evaluating students’ reasoning, interpretation, and communication of statistical findings in authentic contexts. Furthermore, few studies have explored students’ competency profiles through case-based assessment in statistics education using an analytic rubric. This study aimed to explore students’ competency profiles across the four 4C dimensions through a case-based assessment in the Statistics Methods course. A descriptive exploratory approach was employed involving 24 third-semester undergraduate students enrolled in the Mathematics Education Program at Universitas Katolik Santo Thomas. The assessment consisted of four contextual case-based questions, each designed to represent one of the four dimensions: critical thinking, communication, creativity, and collaborative awareness. Students’ written responses were analyzed using a four-level analytic rubric developed as a preliminary assessment instrument. The findings indicate that communication (M = 3.63) and critical thinking (M = 3.45) demonstrated the highest performance, whereas creativity (M = 2.95) and collaborative awareness (M = 2.95) showed comparatively lower performance. Overall, the assessment provided diagnostic information for identifying students’ strengths and areas requiring further instructional support across the four competency dimensions. These findings highlight the value of case-based assessment as an approach for mapping students’ competency profiles and informing the development of more balanced assessment practices in statistics education for prospective mathematics teachers.
Co-Authors Abigail, Martina Amabarwati, Nova Florentina Anna Stasya Prima Sari ANNA STASYA PRIMA SARI Anna Stasya Prima Sari Anton Sitepu Antonius Remigius Abi Argaretha, Frida Marta Bogor Lumbanraja Br Saragih, Marpaung Artianna Christin Darinda Sofia Tanjung Darwita Manalu Delimatua Sigalingging Delvi Kristiani Jaluhu Dina Finiel Habeahan Dyan Wulan Sari Hs Elpita Cyndi Claudia Simarmata Ester J. Simarmata Fadlan Alkhairi Fanesa Anastasya Br Depari Fanesa Anastasya Br Depari Febiyola Br Ginting Gaol, Rumiris Lumban Ghozali, Elizabeth Gregorius, Binsar Gulo, Inne Kristina Hayati Manalu Imelda Imelda Imelda Sihombing Indah Karuniati Laila Israil Sitepu Juliana Laurensia Manurung Naipospos, Aulia Natalia Glorensa Marbun Natalia Simanjuntak Nilaian Hati Telaumbanua Nova Florentina Ambarwati Novalina Sembiring Reflina Siinaga Rizka Pahmawati Regina Br Sitanggang Rumiris Lumbangao SARI, ANNA STASYA PRIMA Septia Pelelawati Purba Sianturi, Ecavia Alverna Sianturi, Teddy Soemantry Sihotang, Daniel Silaban, Patri Silitonga, Nenti Simanjuntak, Sinta Dameria Sipayung, Regina Sitinjak, Lentina Sitorus, Tania Tampubolon, Herlan D Tarigan, Yossie Br Tonggi Marito Yesiska Tamba Vini Selvia Sijabat Windah Maria Mutiara Tamba Windah Maria Tamba Yohanes Suhardin Yuli Dina Sary Purba