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All Journal JURNAL PENA EDUKASI DIFFRACTION: Journal for Physics Education and Applied Physics Jurnal Pendidikan Fisika dan Sains (JPFS) Jurnal Ilmiah Wahana Pendidikan Journal of Energy, Material, and Instrumentation Technology Lensa: Jurnal Kependidikan Fisika Practice of The Science of Teaching Journal: Jurnal Praktisi Pendidikan Islamic Journal of Integrated Science Education
Yuvita Oktarisa, Yuvita
Pendidikan Fisika, Universitas Sultan Ageng Tirtayasa
Religion Astronomy Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Development of artificial intelligence-based physics learning modules on static fluid material to facilitate student learning outcomes Annida, Alzahranitia; Oktarisa, Yuvita; Guntara, Yudi
Practice of The Science of Teaching Journal: Jurnal Praktisi Pendidikan Vol. 4 No. 1 (2025): May
Publisher : HAFECS PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58362/hafecspost.v4i1.125

Abstract

This study aims to develop a physics learning module based on Artificial Intelligence (AI) on static fluid material to facilitate the learning outcomes of grade XI SMA/MA students. The background of this study is the low learning outcomes of students caused by lack of interest in learning, limited learning media, and the abstract nature of static fluid material that is difficult to understand without the help of interactive and adaptive media. This study uses the Research and Development (R&D) method with a 4D development model modified into three stages, namely define, design, and develop. The product developed is an AI-based learning module with chatbot integration as a virtual tutor, equipped with comics, activity sheets, practice questions, and evaluations that enable independent learning. The validation results from material and media experts show that this module is very feasible to use with a material feasibility value of 4.08 and media of 4.15. Limited trials were conducted on 34 grade XI SMAN 1 Kragilan students with an average response result of 4.46, which indicates a very feasible category. It can be concluded that the developed Artificial Intelligence-based physics learning module is stated to be feasible and effective as an alternative teaching material in physics learning in high school, especially in static fluid material. Abstrak. Penelitian ini bertujuan untuk mengembangkan modul pembelajaran fisika berbasis Artificial Intelligence (AI) pada materi fluida statis untuk memfasilitasi hasil belajar peserta didik kelas XI SMA/MA. Latar belakang dari penelitian ini adalah rendahnya hasil belajar peserta didik yang disebabkan oleh kurangnya minat belajar, keterbatasan media pembelajaran, serta sifat abstrak dari materi fluida statis yang sulit dipahami tanpa bantuan media yang interaktif dan adaptif. Penelitian ini menggunakan metode Research and Development (R&D) dengan model pengembangan 4D yang dimodifikasi menjadi tiga tahap, yaitu define, design, dan develop. Produk yang dikembangkan berupa modul pembelajaran berbasis AI dengan integrasi chatbot sebagai tutor virtual, dilengkapi dengan komik, lembar kegiatan, latihan soal, serta evaluasi yang memungkinkan pembelajaran mandiri. Hasil validasi dari ahli materi dan media menunjukkan bahwa modul ini sangat layak digunakan dengan nilai kelayakan materi sebesar 4,08 dan media sebesar 4,15. Uji coba terbatas dilakukan pada 34 peserta didik kelas XI SMAN 1 Kragilan dengan hasil rata-rata respons sebesar 4,46, yang menunjukkan kategori sangat layak. Dapat disimpulkan bahwa modul pembelajaran fisika berbasis Artificial Intelligence yang dikembangkan dinyatakan layak dan efektif sebagai alternatif bahan ajar dalam pembelajaran fisika di SMA, khususnya pada materi fluida statis.
Rainfall and Temperature Analysis for Predicting Drought-Prone Areas in Tangerang Regency Oktarina, Silsa Dwi; Ruhiat, Yayat; Oktarisa, Yuvita
Lensa: Jurnal Kependidikan Fisika Vol 13, No 1: June 2025
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-lkf.v13i1.15818

Abstract

Drought has emerged as a critical issue in Tangerang Regency, Banten Province, primarily driven by the prolonged dry season, declining rainfall, and rising temperatures above average, all of which are exacerbated by the El Niño phenomenon. These conditions pose serious threats, including water shortages, reduced agricultural productivity, and the potential for widespread drought if left unaddressed. This study aims to map drought threat levels at the sub-district scale based on rainfall and temperature parameters. The integration of these two variables is essential, as drought is influenced not only by insufficient rainfall but also by elevated temperatures. Thus, a multivariable approach offers a more comprehensive and accurate spatial assessment. The analysis applied in this study involves scoring and overlay techniques for each contributing parameter. The results identify areas with varying degrees of drought threat—low, light, moderate, high, and extreme. Notably, 27.63% of the regency is classified under extreme drought risk, predominantly in the central to southern regions, due to the combination of very low rainfall and very high temperatures. The resulting drought threat map serves as a crucial reference for local governments, farmers, and the Regional Disaster Management Agency (BPBD) in planning effective mitigation strategies, early warning systems, and sustainable water resource management.
Rainfall and Temperature Analysis for Predicting Drought-Prone Areas in Tangerang Regency Oktarina, Silsa Dwi; Ruhiat, Yayat; Oktarisa, Yuvita
Lensa: Jurnal Kependidikan Fisika Vol. 13 No. 1: June 2025
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-lkf.v13i1.15818

Abstract

Drought has emerged as a critical issue in Tangerang Regency, Banten Province, primarily driven by the prolonged dry season, declining rainfall, and rising temperatures above average, all of which are exacerbated by the El Niño phenomenon. These conditions pose serious threats, including water shortages, reduced agricultural productivity, and the potential for widespread drought if left unaddressed. This study aims to map drought threat levels at the sub-district scale based on rainfall and temperature parameters. The integration of these two variables is essential, as drought is influenced not only by insufficient rainfall but also by elevated temperatures. Thus, a multivariable approach offers a more comprehensive and accurate spatial assessment. The analysis applied in this study involves scoring and overlay techniques for each contributing parameter. The results identify areas with varying degrees of drought threat—low, light, moderate, high, and extreme. Notably, 27.63% of the regency is classified under extreme drought risk, predominantly in the central to southern regions, due to the combination of very low rainfall and very high temperatures. The resulting drought threat map serves as a crucial reference for local governments, farmers, and the Regional Disaster Management Agency (BPBD) in planning effective mitigation strategies, early warning systems, and sustainable water resource management.
Co-Authors Alfarouqy, Ahmad Haekal Andri Suherman Annida, Alzahranitia Aryani, Refi Meilia Fitriani, Nur Shabrina FITRIYAH Ganesa Antarnusa Guntara, Yudi Juldial, Tri Upi Hajarwati Julianti, Beti Junitasari, Junitasari M, Yus Rama Denny Meldiana, Mela Oktarina, Silsa Dwi Paramitha, Devitriana Putri Prayoga, Galih Aji Rahmat Firman Septiyanto, Rahmat Firman Rudi Haryadi, Rudi Suryana, Tresna Galih Sukma Tiaroh, Tiaroh Yayat Ruhiat