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Understanding Of Computer Science Students' Concepts In Solving Problems Integral Based On Gender Noviana, Widyah; Hadi, Windia
Koordinat Jurnal MIPA Vol. 6 No. 2 (2025)
Publisher : Program Studi Tadris Matematika dan Tadris Ilmu Pengetahuan Alam, Fakultas Tarbiyah dan Ilmu Keguruan (FTIK), Universitas Islam Negeri (UIN) Datokarama Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24239/koordinat.v6i2.165

Abstract

This study aims to determine the extent of students' understanding concepts in solving problems integral based on gender. This study employed a descriptive qualitative approach involving four computer science students from Universitas Pamulang consisting of two females and two males with varying ability levels. The results of this study that female and male students in the high category were able to restate concepts well. While on the indicator of being able to use, utilize and select certain procedures or operations, presenting concepts in various forms of representation and applying concepts or algorithms to problem solving, high-ability female students obtained a score of 3 which means they were able to answer but not correctly. Meanwhile, high-ability male students were able to master the indicator of restating the concept, while on the indicator of being able to use, utilize and select certain procedures or operations, presenting concepts in various forms of representation and applying concepts or algorithms to problem solving, high-ability male students obtained a score of 2 which means they still made mistakes. Furthermore, female and male students with low category were unable to master all the questions on the indicator namely restating concepts, being able to use, utilize, and select certain procedures or operations, presenting concepts in various forms of representation, and applying concepts or algorithms to problem solving The impact of this study is expected to be used by lecturers to design relevant learning designs to improve students' to understand the concept of integral based on gender
Mathematical Engagement In Interactive Learning: A Case Study Of The Use Of Lumio In Understanding The Concept Of Normal Distribution Lestari, Indri; Hadi, Windia; Giyanti, Giyanti; Khotimah, Khotimah
Koordinat Jurnal MIPA Vol. 6 No. 2 (2025)
Publisher : Program Studi Tadris Matematika dan Tadris Ilmu Pengetahuan Alam, Fakultas Tarbiyah dan Ilmu Keguruan (FTIK), Universitas Islam Negeri (UIN) Datokarama Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24239/koordinat.v6i2.192

Abstract

Understanding the concept of normal distribution in statistics is often challenging for students, as it requires a deep understanding of symmetry, probability distribution, and the use of normal distribution tables. These challenges are often caused by difficulties in connecting theoretical concepts with data visualization and in comprehending z-score transformations. This study aims to analyze students' mathematical engagement in understanding the concept of normal distribution using Lumio-based interactive media. The study employed a quantitative, quasi-experimental design, with a pre-test post-test control group design. The experimental group engaged in learning using Lumio-based interactive media, while the control group received traditional lecture-based teaching methods. The research instruments included a concept comprehension test, a mathematical engagement questionnaire, and an analysis of Lumio activity logs. The data were analyzed using paired sample t-tests and ANCOVA to evaluate the effectiveness of Lumio in improving students' mathematical engagement and conceptual understanding. The results showed a significant difference between pre-test and post-test scores in both the experimental and control groups. The experimental group, which used Lumio, showed a significantly higher improvement in both conceptual understanding and engagement compared to the control group. The findings suggest that using Lumio-based learning significantly enhanced students' engagement and understanding of normal distribution, compared to the conventional teaching methods