CD Skripsi
Analisis Keterampilan Berpikir Komputasi Materi Bilangan Berbasis Etnomatematika Melayu Riau Mahasiswa Calon Guru Sekolah Dasar
Computational thinking is a problem-solving process derived from computer science and can be applied in various domains. Particularly in mathematics, computational thinking involves four key skills: problem decomposition, pattern recognition, algorithmic thinking, and abstraction. Previous research has tended to focus on primary and secondary school levels, with little research on prospective teacher candidates at the university level and a lack of connection with ethnomathematics. This study aims to analyze ethnomathematics-based computational thinking skills in Riau Malay, considering differences in college entry pathways, high school majors, and college cohorts among prospective elementary school teacher students. The research employs a quantitative analysis method with non-parametric tests, conducted between April and June 2023, involving 171 prospective elementary school teacher students in the PGSD FKIP program at the University of Riau. Data were collected through a test consisting of 22 computational thinking skill questions developed by Ramiati (2021), considered highly valid. The analysis results using the Kruskal Wallis Test indicate significant differences in computational thinking skills based on college entry pathways. However, no significant differences were detected based on high school majors and college cohorts. This research contributes
significantly to understanding ethnomathematics-based computational thinking skills in Riau Malay among prospective elementary school teachers.
Keyword: Computational Thinking; Ethnomathematics; Riau Malay
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