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All Journal Jambura Journal of Mathematics Education JNPM (Jurnal Nasional Pendidikan Matematika)
Femmy Diwidian
UIN Syarif Hidayatullah Jakarta
Mathematics

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Discovery Learning: Its Impact on Students’ Mathematical Computational Thinking Ability and Self-Confidence Irfi Windari; Maifalinda Fatra; Femmy Diwidian
JNPM (Jurnal Nasional Pendidikan Matematika) Vol 9 No 1 (2025)
Publisher : Universitas Swadaya Gunung Jati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/jnpm.v9i1.10423

Abstract

Computational thinking is the ability to think about solving problems the way a computer works. This ability is very important in the 21st century, so it needs a teacher's attention when teaching mathematics. This study aims to explore and analyze the impact of discovery learning on students' mathematical computational thinking abilities and self-confidence. The research was carried out at a private high school in Bogor for the 2023/2024 academic year. This research uses a quasi-experimental method with a randomized posttest-only control group design. The research sample consisted of 28 students using the discovery learning model and 26 students using the conventional model. Data collection instruments are tests and questionnaires that have been tested for validity and reliability. The research results show that the average mathematical computational thinking ability taught using the discovery learning model is higher than the conventional model class, with a large influence in the medium category (= 0.221). The average self-confidence of experimental class students is higher than that of the control class with large being included in the medium category (= 0.186). The discovery learning model influences students' mathematical computational thinking abilities and self-confidence in the high category (= 0.292).
Analisis Gaya Belajar Matematika Siswa SMA Menggunakan Algoritma K-Means Clustering Adzra Amani Faatiha; Femmy Diwidian; Gelar Dwirahayu
Jambura Journal of Mathematics Education Vol 7, No 2: September 2026
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jmathedu.v7i2.39546

Abstract

The study aims to analyze students’ mathematics learning styles based on the clusters formed using the K-Means Clustering algorithm and to identify differences in mathematics learning outcomes in each cluster. This study employed a quantitative method with an exploratory approach. The data used were primary data obtained through learning style questionnaires and mathematics learning outcome tests administered to 129 tenth grade students. The number of cluster was determined as three clusters based on the theory of visual (cluster 3), auditory (cluster 2), and kinesthetic (cluster 1) learning styles. The analysis of mathematics learning outcomes revealed that the highest average score was found in cluster 3 (visual), while the lowest average score was found in cluster 2 (auditory). The findings indicate that the K-Means Clustering Algorithm can be used to identify students’ dominant learning styles, allowing students to recognize, understand, and develop awareness of their learning preferences, which may support more effective learning processes.
Co-Authors Adzra Amani Faatiha Fatra, Maifalinda Gelar Dwirahayu Irfi Windari