Claim Missing Document
Check
Articles

Found 3 Documents
Search

Development of Physics Learning Media Integrated with Artificial Intelligence and Islamic Values on Free Fall Motion Material Mulia Rahmi; Mariati Mariati; Zakiah Zakiah; Muslimatul Walidah; Yusrizal Hasja
Journal of Multidisciplinary Science: MIKAILALSYS Vol 4 No 2 (2026): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v4i2.10740

Abstract

The need for innovative physics learning media that integrate Artificial Intelligence (AI) and Islamic values has become increasingly important in supporting meaningful science learning, particularly in abstract topics such as free fall motion. This study aimed to develop AI-based physics learning media integrated with Islamic values for students at SMP Tastafi Abu Lamkawe, Pidie Regency, Aceh. The study employed a Research and Development (R&D) method using the ADDIE model. Data were collected through expert validation and student response questionnaires. The findings showed that the developed media obtained a material expert validation score of 72.2%, categorized as feasible; a media expert validation score of 84%, categorized as feasible; a tafsir expert validation score of 73.3%, categorized as feasible; and a student response score of 79.54%, indicating positive and effective use. The media integrated Islamic values by encouraging tafakkur in understanding free fall phenomena as part of sunnatullah. These findings indicate that the developed media is valid, feasible, and effective for supporting physics learning. The study contributes to the development of integrative science education by demonstrating the potential of AI-based learning media to connect scientific concepts with Islamic values, while providing practical implications for teachers and educational institutions in designing innovative, spiritually oriented physics learning resources.
Development of ISLE-Based Science E-Modules in Improving Disaster Mitigation Literacy of High School Students in Tectonic Prone Areas Dian Rafika; Muslimatul Walidah; Rajibussalim Rajibussalim; Nilataria Nilataria; Yayu Risna Andani; Dian Rafika; Muslimatul Walidah; Rajibussalim; Nilataria Nilataria; Yayu Risna Andani
Jurnal Pembelajaran, Bimbingan, dan Pengelolaan Pendidikan Vol. 7 No. 1 (2027)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um065.v7.i1.2027.11

Abstract

Aceh Province is geologically flanked by two active tectonic systems: the Sunda Megathrust subduction zone and the Sumatra Fault, making disaster mitigation literacy a crucial survival skill for high school students. However, conventional science learning is still dominated by textual memorization and lacks relevance to the context of local disasters, which has an impact on students' weak practical mitigation skills. This research aims to design, develop, and test the effectiveness of science e-modules based on the Investigative Science Learning Environment (ISLE) model through an interactive application called Si-AGAM (Aceh Earthquake & Mitigation Investigative Science) to improve students' disaster mitigation literacy. Using a Research and Development (R&D) approach with the ADDIE framework, this research was carried out at SMAN 1 Banda Aceh. The data collection instruments included expert validation sheets, teacher and student practicality questionnaires, and 15 multiple-choice questions to measure mitigation literacy. The data were analyzed using descriptive statistics and the Normalized Gain (N-gain) test. The results of the expert assessment showed that the e-module achieved high validity, with a score of 95.00% from learning media experts and 98.00% from material/disaster experts (average V = 4.83, "Very Valid"). Field trials showed an outstanding level of practicality with an accumulated score of 90.37% ("Very Practical") from teachers and students. Furthermore, the implementation of Si-AGAM has proven to be very effective in boosting student learning outcomes with a classical N-gain score of 0.83 ("High"). The most massive surge in ability was detected in the natural sign pattern analysis cluster and scientific reconstruction of Smong's local wisdom. In conclusion, the Si-AGAM application successfully transforms formal science inquiry into a self-sustaining, practical mitigation measure, changing the paradigm of students from passive readers to resilient and responsive "young scientists" in making autonomous decisions in situations of tectonic emergency.
Development of ISLE-Based Science E-Modules in Improving Disaster Mitigation Literacy of High School Students in Tectonic Prone Areas Dian Rafika; Muslimatul Walidah; Rajibussalim Rajibussalim; Nilataria Nilataria; Yayu Risna Andani; Dian Rafika; Muslimatul Walidah; Rajibussalim; Nilataria Nilataria; Yayu Risna Andani
Jurnal Pembelajaran, Bimbingan, dan Pengelolaan Pendidikan Vol. 7 No. 1 (2027)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um065.v7.i1.2027.11

Abstract

Aceh Province is geologically flanked by two active tectonic systems: the Sunda Megathrust subduction zone and the Sumatra Fault, making disaster mitigation literacy a crucial survival skill for high school students. However, conventional science learning is still dominated by textual memorization and lacks relevance to the context of local disasters, which has an impact on students' weak practical mitigation skills. This research aims to design, develop, and test the effectiveness of science e-modules based on the Investigative Science Learning Environment (ISLE) model through an interactive application called Si-AGAM (Aceh Earthquake & Mitigation Investigative Science) to improve students' disaster mitigation literacy. Using a Research and Development (R&D) approach with the ADDIE framework, this research was carried out at SMAN 1 Banda Aceh. The data collection instruments included expert validation sheets, teacher and student practicality questionnaires, and 15 multiple-choice questions to measure mitigation literacy. The data were analyzed using descriptive statistics and the Normalized Gain (N-gain) test. The results of the expert assessment showed that the e-module achieved high validity, with a score of 95.00% from learning media experts and 98.00% from material/disaster experts (average V = 4.83, "Very Valid"). Field trials showed an outstanding level of practicality with an accumulated score of 90.37% ("Very Practical") from teachers and students. Furthermore, the implementation of Si-AGAM has proven to be very effective in boosting student learning outcomes with a classical N-gain score of 0.83 ("High"). The most massive surge in ability was detected in the natural sign pattern analysis cluster and scientific reconstruction of Smong's local wisdom. In conclusion, the Si-AGAM application successfully transforms formal science inquiry into a self-sustaining, practical mitigation measure, changing the paradigm of students from passive readers to resilient and responsive "young scientists" in making autonomous decisions in situations of tectonic emergency.