Pengembangan Lembar Kerja Murid (LKM) Berbasis Deep Learning pada Materi Tumbuhan dalam Pembelajaran IPAS Kelas IV SD Muhammadiyah Kreatif Kraksaan

Abstract

The goal of this project is to create valid, useful, and efficient Student Worksheets (LKM) based on Deep Learning for fourth-grade elementary school students studying plant material in science and environmental studies (IPAS). This study use both the Research and Development (R&D) technique and the ADDIE paradigm, which consists of the phases of analysis, design, development, implementation, and evaluation. This study focuses on fourth-grade pupils at SD Muhammadiyah Kreatif Kraksaan. Data gathering techniques include observation, interviews, validation questionnaires, student response surveys, pretests, and posttests. The results of the study show that the Deep Learning-based LKM generated satisfies the requirements of being extremely valid, useful, and successful when used in learning. In the meantime, the media expert validation yielded a percentage of 90%, while the content expert validation yielded a percentage of 82.5% with a very good category. The product's practicality level received a score of 97.5% in the extremely practical area of the student response questionnaire. With an average pretest score of 63.92 and a posttest score of 91.25, students' learning outcomes have improved, indicating the product's usefulness. Deep Learning-based Worksheets (LKM), which incorporate the ideas of meaningful learning, mindful learning, and joyful learning, enhanced students' active engagement in the learning process. Through contextual and Deep Learning-based learning exercises, students can develop a deeper comprehension of the concepts of plant parts and functions. Based on the results of this study, deep learning-based LKM is deemed valid, useful, and efficient, making it appropriate for use as an alternate learning resource in primary school IPAS instruction.