<![CDATA[Representational ability is an important element in understanding mathematical concepts. The temulawak approach (Techniques for Information Discovery, Processing and Insights for Computing), rooted in cybernetic theory, is integrated with R and developed as a learning tool to improve students' mathematical representation skills in understanding probability distribution concepts. The purpose of this study is to determine how integrating the temulawak approach with R software improves students' mathematical representation skills. The experiment was conducted on 18 student subjects enrolled in the Theoretical Descriptive Statistics course for the 2024/2025 academic year. Evaluations were conducted at the beginning of the course and at the end of each learning phase. The results of the analysis using a paired-samples t-test with α = 5% showed an increase in mathematical representation skills from the pretest to the posttest of 44,55%. The effect of this learning is considered significant (d > 0.8). These findings indicate that integrating temulawak and computational technology through R software improves students' mathematical representation skills. This study implies that integrating the temulawak approach with R software can significantly strengthen students' mathematical representation skills and conceptual understanding of probability distributions, thereby confirming the benefits of cybernetic-based learning approaches supported by computational technology.]]>
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