Erlin Listyani
Universitas Muhammadiyah Purwokerto

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Pengembangan LKPD Deep Learning Berbasis Kontekstual untuk Mengembangkan Kemampuan Penalaran Matematis Siswa Erlin Listyani; Eka Setyaningsih
Griya Journal of Mathematics Education and Application Vol. 6 No. 3 (2026): September 2026
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v6i3.1403

Abstract

This study aims to develop valid, practical, and effective contextual deep learning student worksheets (LKPD) to develop students’ mathematical reasoning skills on the topic of arcs and sectors of a circle. The study used the Research and Development (R&D) method with a 4D model limited to the development stage due to time and cost constraints. The research stages included define, design, and develop. The limited trial involved 21 students of class XII.A2 at MA Tanbihul Ghofilin Banjarnegara. The research instruments consisted of validation sheets from material and media experts, teacher and student response questionnaires, and a mathematical reasoning ability test. The developed LKPD integrates deep learning principles with a contextual approach through connecting, experiencing, reflecting, and applying activities to support students’ mathematical reasoning. The results showed an average validity score of 3.4 (valid) and an average practicality score of 3.5 (practical). The effectiveness test showed an increase in the average score from 55.56 on the pretest to 83.72 on the posttest, with an increase of 28.16 points. The N-Gain analysis obtained a value of 63.4%, which was categorized as moderate. Based on the validity, practicality, and effectiveness results, the contextual deep learning LKPD is suitable for use as teaching material for the topic of arcs and sectors of a circle.