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All Journal POSITRON Jurnal Pendidikan Dasar Nusantara Jurnal Inovasi Teknologi Pendidikan JPsd ( Jurnal Pendidikan Sekolah Dasar ) Edukasi: Jurnal Pendidikan dan Pengajaran Edufisika: Jurnal Pendidikan Fisika Al-Jabar : Jurnal Pendidikan Matematika International Journal of Artificial Intelligence Research JPPPF (Jurnal Penelitian dan Pengembangan Pendidikan Fisika) Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Basicedu Jurnal Pendidikan Fisika dan Teknologi Jurnal Inovasi Pendidikan Physics Education Research Journal JPP (Jurnal Pendidikan dan Pembelajaran) Integrated Science Education Journal Bima Abdi: Jurnal Pengabdian Masyarakat LEARNING : Jurnal Inovasi Penelitian Pendidikan dan Pembelajaran Unram Journal of Community Service (UJCS) JIFP (Jurnal Ilmu Fisika dan Pembelajarannya) Jurnal Basicedu Journal of Innovation and Research in Primary Education Indonesian Journal of Education Research (IJoER) Profesi Pendidikan Dasar Jurnal Pendidikan MIPA
Sardianto Markos Siahaan, Sardianto Markos
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Augmented Reality–Based Flashcard Media: A Study of Foster Senior High School Students’ Critical Thinking Skills on Atomic Models Anggraini, Riska; Marlina, Leni; Siahaan, Sardianto Markos
Integrated Science Education Journal Vol 7 No 1 (2026): January
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/isej.v7i1.2374

Abstract

Purpose of the study: This study aimed to develop augmented reality–based flashcard learning media for teaching atomic models and to examine its validity, practicality, and effectiveness in fostering senior high school students’ critical thinking skills. Methodology: This study employed a research and development approach using the Rowntree model, comprising planning, development, and evaluation stages, with formative evaluation adapted from Tessmer. Data were collected through expert validation sheets, practicality questionnaires, and critical thinking skills tests. Data analysis included CVR and CVI for validity, descriptive analysis for practicality, and N-gain analysis for effectiveness. Main Findings: The results indicated that the augmented reality–based flashcard media achieved excellent content validity, with S-CVI/Ave and S-CVI/UA values of 1.00, categorized as very valid. The media was considered practical, with mean practicality scores of 3.9 in the one-to-one evaluation and 4.1 in the small group evaluation. Additionally, the field test showed an improvement in students’ critical thinking skills, with an N-gain value of 0.56, indicating moderate effectiveness. Novelty/Originality of this study: The novelty of this study lies in integrating augmented reality technology into flashcard-based learning media to foster students’ critical thinking skills in learning atomic models. Unlike previous studies that mainly emphasize visualization or conceptual understanding, this research focuses on developing higher-order thinking skills through interactive, mobile-supported learning media to address abstract physics concepts.
Augmented Reality Realitas Augmentasi sebagai Media Pembelajaran Interaktif pada Material Gelombang Cahaya: Tinjauan Pustaka Windha, Windha; Marlina, Leni; Siahaan, Sardianto Markos
EduFisika: Jurnal Pendidikan Fisika Vol 10 No 3 (2025): EduFisika: Jurnal Pendidikan Fisika Volume 10 Nomor 3 December 2025
Publisher : Program Studi Pendidikan Fisika FKIP Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59052/edufisika.v10i3.48576

Abstract

This study aims to analyze the effectiveness of Augmented Reality (AR) as an interactive learning medium for understanding light wave concepts in physics. Using a systematic literature review of national and international studies published between 2019 and 2025, this research synthesizes evidence on AR’s role in improving students’ conceptual understanding and critical thinking. Unlike previous reviews that focused on general AR applications in science education, this study specifically examines its pedagogical impact on the light wave topic, which remains underexplored despite its abstract and complex nature. The review reveals that AR enhances visualization of light phenomena, fosters active and engaging learning environments, and supports 21st-century skills such as creativity, collaboration, and problem-solving. However, its implementation still faces challenges related to infrastructure, teacher readiness, and content development. Overall, this study provides a novel synthesis that highlights AR’s distinctive potential to bridge the gap between abstract theory and concrete experience in learning physics, offering new insights for educators and researchers on topic-specific AR integration.
STUDI PENDAHULUAN E-LKPD BERBASIS DISCOVERY LEARNING MATERI FILTRASI UNTUK MENINGKATKAN KETERAMPILAN BERPIKIR KREATIF Sriyanti, Ida; Jannah, Fathya Nurul; Siahaan, Sardianto Markos
EduFisika: Jurnal Pendidikan Fisika Vol 10 No 3 (2025): EduFisika: Jurnal Pendidikan Fisika Volume 10 Nomor 3 December 2025
Publisher : Program Studi Pendidikan Fisika FKIP Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59052/edufisika.v10i3.49684

Abstract

Developing students’ creative thinking skills remains a challenge in science learning, particularly when instructional materials do not adequately support exploration and contextual understanding. This study aims to develop an e-LKPD product based on discovery learning and nanofiber membrane filtration to train junior high school students' creative thinking skills effectively. The study employed a development research approach using the ADDIE model and involved 217 seventh-grade students from 10 classes (VIIA-VIIJ) at SMPN 1 Jambi. The data collection technique in this study was to distribute questionnaires, which were then analyzed using the Content Validity Ratio (CVR) to determine feasibility, one-to-one and small-group evaluations to assess practicality, and N-gain analysis to measure effectiveness. The results showed that all aspects of the e-LKPD met the feasibility criteria and were categorized as very good, with minor revisions related to writing clarity. The practicality analysis indicated a high level of usability, with average scores of 86.76% in the one-to-one evaluation and 95.53% in the small group evaluation. The N-gain analysis yielded an average score of 0.46, which falls into the moderate effectiveness category, indicating an improvement in students’ creative thinking skills. It can be concluded that the development of e-LKPD based on discovery learning for nanofiber membrane-assisted filtration materials is feasible, practical, and moderately effective, and has the potential to serve as an alternative digital learning resource to support the development of creative thinking in junior high school science learning.
Transforming Physics Learning: Developing AI-Based Interactive Videos to Understand Newton's Laws Hanisa, Hanisa Feranti; Siahaan, Sardianto Markos
Physics Education Research Journal Vol. 7 No. 2 (2025)
Publisher : Faculty of Science and Education, UIN Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/perj.2025.7.2.25924

Abstract

This study aims to describe the results of the needs analysis conducted at SMA Negeri 3 Prabumulih as a basis for developing artificial intelligence-based learning videos for differentiated physics learning. Data analysis was carried out using validation sheet data, questionnaires and interviews. This study serves as a preliminary study at the definition stage, where researchers ensure that the products developed meet the needs of teachers and students. The results of the questionnaire as many as 92.3% (150 respondents), stated that they agreed that SMA uses learning videos for every physics material. This is because physics material is learning material that is difficult for students to understand. The results of the description of the assessment data by the media validator on the media in the form of learning videos are in the very good qualification, this is categorized as very good. The trial results show that products that are equipped with practical aspects shown to teachers and students are categorized as very practical. So the level of validity of this learning video media is said to be very valid because it is in the range of 92.82% and the level of practicality of the media in the form of learning videos is 97.28% categorized as very good.
The role of STEM-based learning media in improving students' science literacy: A systematic review Tina Oktasari; Siahaan, Sardianto Markos; Leni Marlina
Jurnal Inovasi Teknologi Pendidikan Vol. 12 No. 4 (2025): December (On Progress)
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jitp.v12i4.85336

Abstract

In the 21st century, scientific literacy is an essential skill for students, but many challenges remain in learning it. To address these challenges, integrating STEM-based learning media offers an innovative solution by promoting contextual, interactive, and project-based learning that enhances students’ engagement, critical thinking, and understanding of scientific concepts. This study aims to systematically review the role of STEM-based learning media in improving students' science literacy, identify the characteristics of effective media, and the factors that influence their successful implementation. This study used a systematic review method following PRISMA guidelines, analysing 21 selected articles from Google Scholar, Web of Science, DOAJ, and ERIC databases, with a publication range of 2019-2025. The analysis shows that STEM-based media effectively improve students' understanding of science concepts, critical thinking skills, and digital literacy. Interactive, project-based and contextualised media proved most effective. The main supporting factors for successful implementation include teacher competence, valid and practical media design, and support for the learning environment. This study emphasises the importance of integrating STEM-based learning media to improve overall science literacy. Future research is recommended to explore the long-term impact of STEM-based learning media on students' science literacy across diverse educational levels and cultural contexts, and to develop adaptive digital tools that support personalised learning and teacher facilitation.
IMPLEMENTATION OF MACHINE LEARNING FOR RAINFALL PREDICTION IN SMOKE-PRONE AREAS OF SOUTH SUMATRA Rahmannisa, Amanda; Ariska, Melly; Siahaan, Sardianto Markos; Seprina, Iin
Jurnal Ilmu Fisika dan Pembelajarannya (JIFP) Vol 9 No 2 (2025): Jurnal Ilmu Fisika dan Pembelajarannya (JIFP)
Publisher : Program Studi Pendidikan Fisika, UIN Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/h8s3w172

Abstract

Haze caused by forest and land fires is a serious problem in South Sumatra Province. One mitigation effort that can be made is to improve the accuracy of rainfall predictions, because rain plays an important role in reducing the potential for fires. This study implements machine learning methods, namely XGBoost and ConvLSTM, to predict spatiotemporal rainfall in areas prone to haze. The results show that ConvLSTM is capable of providing better predictions than the baseline, especially during periods of haze, by considering missing data imputation and masking techniques for disrupted satellite conditions. Increasingly apparent climate change in tropical regions has had a significant impact on rainfall patterns, particularly in South Sumatra, which is one of Indonesia's main agricultural and plantation centers. High rainfall variability can lead to the risk of flooding and drought, as well as disrupting productivity in the education, health, and economic sectors. Therefore, a more accurate rainfall prediction approach is needed to support climate adaptation planning and disaster risk mitigation. This study aims to compare the performance of three approaches to daily rainfall prediction, namely the ConvLSTM-based method, XGBoost, and Persistence, using daily observation data from BMKG for the South Sumatra region for the period 1981–2020. The input variables include average air temperature (Tavg), humidity, sunshine duration, and wind speed, while rainfall is used as the prediction target. The analysis was conducted through a time series approach, statistical distribution, and model performance evaluation using the quantitative metrics Root Mean Square Error (RMSE) and Critical Success Index (CSI). The results show that the ConvLSTM model produced the highest accuracy with an average RMSE of 10 mm/day and a CSI of 0.53, which is better than XGBoost (RMSE 12 mm/day; CSI 0.48) and the persistence method (RMSE 15 mm/day; CSI 0.40). Distribution analysis indicates that light to moderate rainfall occurs more frequently, while extreme rainfall occurs sporadically. The correlation heatmap shows that rainfall has a moderate positive relationship with humidity and a negative relationship with solar radiation, while average temperature and wind play a smaller role. The main contribution of this study is to provide empirical evidence that spatiotemporal deep learning methods such as ConvLSTM are superior in modeling the complexity of tropical rainfall dynamics compared to classical machine learning approaches and simple models. These findings can serve as a basis for the development of early warning systems and interactive climate dashboards at the regional level, while enriching the literature on rainfall prediction in tropical regions using an integrative approach.
Co-Authors Anggraini, Aisyah Apit Fathurohman Dwi Maryanto, Dwi Evi Yuliani Farida Farida Feranti, Hanisa Firdausi, Huriyatul Hamdi Akhsan Hanisa, Hanisa Feranti Hartati N, Yendri Tri Hartono Hartono Hasanah Hasanah Hasanah, H Helen, Helen Husna, Hafizhah Aulia Ida Sriyanti Ismet Ismet, Ismet Jannah, Fathya Nurul Juliyanti, Sela Ketang Wiyono Komarudin, Wawan Ahmad Kurniasari, Dita Leni Marlina Lestari, Yora Inda Lestari, Yora Indah Makmum Raharjo Masfufah, Annasriyah Meirizal Usra, Meirizal Melly Ariska Musfiroh, Ani Napitupulu, Yendri Tri Hartati Nugraha, Agung Malsen Nugraha, Ari Guna NUGRAHA, ARIE GUNA Nurdin, Muhammat Ali Nurhayati, Sri Hasih Opeyemi, Hammed Saheed Patriot, Evelina Astra PERMATA SARI, DEVI Putri, Regita Elsa Putriani, Anjeli Rachman, Fuad Abd Rahman, Nor Farahwahidah Abdul Rahmannisa, Amanda Rahmi Susanti Regina, Riska Riska Anggraini, Riska Ritonga, Ahmad Fitra Scristia, Scristia Seprina, Iin Septia, Delfi Setiyowati, Devi Ariska Silva, Solange Francielle Simarmata, Ruth Helen Somakim, Somakim Sudirman Sudirman Syahbani, Husni Syuhendri Taufiq Taufiq Tibrani, Masagus Mhd Tibrani, Masagus Mhd. Tina Oktasari Umi Kalsum Widiya Nopita, Widiya WINDHA WINDHA Yuliana Yuliana Zanjabilla, Aulia Zhu, Mega Zulaiha Zulaiha, Zulaiha