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All Journal Jurnal Pendidikan Sains Indonesia (Indonesian Journal of Science Education)
Evendi Evendi
Universitas Syiah Kuala, Banda Aceh, Indonesia

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Validity and feasibility of Deep Learning Based Digital Comic Media to Improve Junior High School Students' Understanding of Science Concepts Rika Anisa; Evendi Evendi; A. Halim; Nurazidawati Mohamad Arsad
Jurnal Pendidikan Sains Indonesia Vol. 14 No. 3: JULY 2026
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jpsi.v14i3.1957

Abstract

Conceptual understanding of science in the topic of motion remains a challenge for junior high school students due to its intangible and the need for appropriate visualization. The study aims to develop a deep learning-based digital comic media on the topic of motion and to analyze its effectiveness in improving the conceptual understanding of science among seventh-grade junior high school students. The study employed the research and development (R&D) method using the ADDIE model, which includes five stages: analysis, design, development, implementation, and evaluation. The research subjects were seventh-grade students of SMP Negeri 1 Peureulak, selected using a simple random sampling technique. The research instruments consisted of a media validation sheet and a conceptual understanding test. The results of the material expert validation showed an Aiken's V index of 0.818, categorized as high, while the media expert validation yielded 0.803, also categorized as high, indicating that the media is feasible to use. The implementation results showed that students' conceptual understanding increased from an average of 35.28 in the pretest to 78.56 in the posttest, with a significance value of 0.00 (p < 0.05) and an N-Gain of 0.7, categorized as high. The results of the paired sample t-test proved that there was a significant difference before and after the use of the media. It was concluded that the deep learning-based digital comic media is proven to be valid, feasible, and effective in improving students' conceptual understanding of science on the topic of motion. The implications of this study recommend the use of similar media for other abstract science topics, as well as further development using stronger experimental designs
The Utilization of E-Workship Student Through a Deep Learning-Enhanced Problem Based Learning Model for the Improvement of Scientific Literacy and Conceptual Understanding Rahmina Rahmina; Evendi Evendi; A. Halim; Mohamad Amir Irwan bin Haji Moksin
Jurnal Pendidikan Sains Indonesia Vol. 14 No. 4: OCTOBER 2026 (In Progress)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jpsi.v14i4.2756

Abstract

The low level of scientific literacy and conceptual understanding in physics is attributed to various factors, including conventional teaching models that tend to be teacher-centered and fail to encourage students to think critically and engage in problem-solving. This study aims to analyze the implementation of electronic student worksheets (E-LKPD) through a deep learning-based problem based learning (PBL) model in improving students' scientific literacy and conceptual understanding of physics, specifically on the topic of alternative energy. This research employed a quantitative approach with a quasi-experimental design of the nonequivalent control group design type. The sample consisted of two tenth-grade classes at SMA Negeri 1 Nisam Antara, comprising an experimental class of 30 students who utilized E-LKPD through the deep learning-based PBL model, and a control class of 30 students who received direct instruction. Data analysis was conducted using the independent samples t-Test and the Mann–Whitney U test. The findings revealed that scientific literacy skills in the experimental class improved, with an average N-gain score of 0.77, categorized as high, whereas the control class achieved an average N-gain of 0.54, categorized as moderate. This study concludes that the implementation of E-LKPD through the deep learning-based PBL model can enhance students' scientific literacy and conceptual understanding of physics
Co-Authors A Halim Mohamad Amir Irwan bin Haji Moksin Nurazidawati Mohamad Arsad Rahmina Rahmina Rika Anisa