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All Journal POSITRON Jurnal Pendidikan Dasar Nusantara Penggunaan Media Sains Flipbook dalam Pembelajaran IPA di Sekolah Dasar Jurnal Inovasi Teknologi Pendidikan Jurnal Pendidikan Fisika FKIP UM Metro 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 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) Journal Evaluation in Education (JEE) 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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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 Mathematics Physics Social Sciences Other

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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.
Interactive Flipbook as a Learning Innovation for Regional Flagship Products Based on Local Wisdom Hasanah, H; Siahaan, Sardianto Markos; Tibrani, Masagus Mhd.; Opeyemi, Hammed Saheed
Profesi Pendidikan Dasar Vol. 12, No. 3, December 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/ppd.v12i3.13050

Abstract

Instruction in Learning Natural and Social Sciences (NS&SS) within primary education necessitates contextual and engaging innovations. This study aims to develop and evaluate the effectiveness of an interactive flipbook that integrates distinctive regional commodities based on the local wisdom of Musi Banyuasin. This research employs a Research and Development (R&D) approach using the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) model, was implemented with two fifth-grade classes, consisting of an experimental group (n = 30) and a control group (n =31). The research instruments utilised included expert validation rubrics, learner practicality questionnaires (measuring ease of use and clarity of learning activities), and assessments of learning outcomes. The results indicate that the flipbook demonstrated high validity in terms of content, design, and linguistic suitability. Furthermore, user practicality was rated as very high (91.6%). The flipbook proved effective in enhancing learning outcomes, as evidenced by a high N-Gain score in the experimental class (0.73) compared to a low score in the control class (0.14), alongside a significant difference observed in the t-test ($p = 0.000 < 0.05$). Consequently, this innovation has the potential to serve as an engaging and meaningful pedagogical resource aligned with the demands of twenty-first-century education.
A Validity of STEM-Based Physics Learning Video on Parabolic Motion for Senior High School Students Lestari, Yora Inda; Siahaan, Sardianto Markos; Ismet, Ismet; Rahman, Nor Farahwahidah Abdul
Indonesian Journal of Education Research (IJoER) Vol. 5 No. 6 (2024): December
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/ijoer.v5i6.1256

Abstract

Purpose of the study: This article will focus on the validity criteria, with the aim of this research being to assess the extent to which the physics learning media specific to the parabolic motion subtheme in the form of videos developed can be considered valid. Methodology: This study used research and development (R&D) with the Alessi and Trollip model. The data collection technique was carried out through a validation sheet instrument conducted by 5 expert validators. The development of learning videos was carried out for class XI Senior High School 22 Palembang. Main Findings: The assessment of the content aspect of the material resulted in a CVI value of 0.93. Furthermore, the evaluation of the media presentation aspect attained a CVI score of 1, and the validation of the productivity and innovation aspects of the material also scored 1. Since the CVI scores are all at 1, it can be inferred that the instructional video created is both valid and appropriate for educational purposes. Novelty/Originality of this study: This research makes a real contribution in answering the needs of modern learning with the STEM approach and AI technology. The results of this media validation are expected to be a reference for further research and become an inspiration for educators in developing innovative learning media.
Integration of Paired Sample T-Test and Cohen's d in the Evaluation of a Palembang Ethnoscience-Based Physics Module Fajriah, Nurkholisa; Akhsan, Hamdi; Siahaan, Sardianto Markos
Jurnal Pendidikan Fisika Vol 14, No 1 (2026)
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jpf.v14i1.15860

Abstract

This study aimed to analyze the effectiveness of a Palembang ethnoscience-based physics module on student learning outcomes in potential and kinetic energy materials using a methodologically rigorous approach. Employing a quasi-experimental design with a one-group pretest-posttest pattern, the study involved 37 grade X students from SMAN 22 Palembang. Data were collected through learning achievement tests and analyzed using SPSS version 26, incorporating Shapiro-Wilk normality tests, Paired Sample T-Tests, Normalized Gain (N-Gain), Power Analysis, and outlier examinations. The results indicated mean pre-test scores of 61.22 (SD = 13.41) and post-test scores of 82.97 (SD = 9.96). The Paired Sample T-Test yielded a t-value of -11.217 with a significance of 0.000 (p < 0.05), indicating a significant difference and a strong association between module implementation and learning outcome improvements. The N-Gain value of 0.56 was categorized as medium, while the Effect Size (Cohen's d) of 1.84 demonstrated a very large impact, although this requires careful interpretation due to the within-subject design. Cohen's d<sub>z</sub>, calculated based on the standard deviation of difference scores, also produced a value of 1.84, confirming the consistency of the effect estimation. The study concludes that the Palembang ethnoscience-based physics module is positively associated with enhancing student learning outcomes. Integrating local wisdom bridges abstract concepts with students' real-life contexts, thereby rendering learning more meaningful. 
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.
Analysis of the Needs for the Development of Interactive Multimedia Based on Augmented Reality in Physics Learning SissyLia, Risky; Siahaan, Sardianto Markos; Fathurohman, Apit
Journal Evaluation in Education (JEE) Vol 6 No 1 (2025): January
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jee.v6i1.1287

Abstract

Purpose of the Study: This study investigates the initial needs of teachers for the development of interactive multimedia based on Augmented Reality (AR) for physics education, specifically in the context of kinetic gas theory. As part of development research at the preliminary study stage, the goal is to design innovative teaching tools that simplify complex physics concepts and enhance student engagement. Methodology: A survey-based research design was adopted, with data collected via questionnaires distributed to middle and high school physics teachers using the Google Form platform. The study examined teacher perspectives on AR-based learning media's necessity, usability, and potential impact in their classrooms. Main Findings: The results revealed a strong demand among physics teachers for AR-based interactive multimedia, highlighting its potential to address the challenges of teaching physics concepts often perceived as abstract and complex by students. Teachers emphasized the need for tools that make the learning process more engaging, interactive, and relatable. The findings also indicated that AR-based multimedia offers a promising solution, aligning with the growing integration of digital technology in education. Teachers noted that AR tools could increase efficiency, foster active learning, and cater to diverse learning styles, making physics more accessible and enjoyable. Novelty/Originality of the Study: This study contributes to the growing field of digital education by emphasizing the application of AR technology in physics learning. It provides a novel perspective on how AR can bridge the gap between theoretical physics and practical understanding, fostering curiosity and deeper comprehension.
E -Module Based on Multi-Representation Topics of Inventors Who Changed the World in Class VI Elementary School Kurniasari, Dita; Susanti, Rahmi; Siahaan, Sardianto Markos; Raharjo, Makmum
Teknodika Vol 22, No 2 (2024): Teknodika
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/teknodika.v22i2.85453

Abstract

This research aims to develop multi-representation- based e-modules in thematic learning in elementary schools. The problem currently occurring is that students have difficulty understanding the material because the teaching materials used are still textbooks. Therefore, it is necessary to develop interesting teaching materials in the form of e-modules. The type of research used is development research using the Ronwtree development model combined with Tessmer evaluation which consists of planning, development and evaluation stages. The population in this study was 30 class VI students. The methods used in collecting data in this research were observation, interviews, questionnaires and tests. Validity test results at the expert stage review shows that the assessment from language experts got an average score of 94% in the very valid category, while from material experts the total percentage was 88% in the very valid category, and media experts got a total score of 96% in the very valid category. So the average score of the three experts is 9.2 % in the very valid category.  The E-Module practicality test results from the small group were 82.1% in the very practical category. The multi-representation based e-Module was declared effective on student learning outcomes. This can be seen from the N-gain results, namely 0.6 with medium criteria. So it can be concluded that the E-Module based on multiple representations of the topic of inventors who changed the world in class VI SDN 146 Palembang is declared valid, very practical and effective on student learning outcomes.
Co-Authors Anggraini, Aisyah Apit Fathurohman Dwi Maryanto, Dwi Evi Yuliani Fajriah, Nurkholisa 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 Ketang Wiyono Komarudin, Wawan Ahmad Kurniasari, Dita Kurniasari, Dita Leni Marlina Lestari, Yora Inda Lestari, Yora Indah Masfufah, Annasriyah Meirizal Usra, Meirizal Melly Ariska Musfiroh, Ani Nugraha, Agung Malsen Nugraha, Ari Guna NUGRAHA, ARIE GUNA Nurdin, Muhammat Ali Opeyemi, Hammed Saheed Patriot, Evelina Astra PERMATA SARI, DEVI Putri, Regita Elsa Putriani, Anjeli Rachman, Fuad Abd Raharjo, Makmun 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 SissyLia, Risky Somakim, Somakim Sudirman Sudirman Syahbani, Husni Taufiq Taufiq Tibrani, Masagus Mhd Tibrani, Masagus Mhd. Tina Oktasari Umi Kalsum Widiya Nopita, Widiya WINDHA WINDHA Zanjabilla, Aulia Zhu, Mega Zulaiha Zulaiha, Zulaiha