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Review of Synthesis Cu2ZnSnS4 Using Ball-Milling Method as Thin Film Solar Cell Absorber Layer Maghfirani Aulia Rachman; Eka Cahya Prima; Andhy Setiawan
Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Vol 9, No 1 (2023)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30870/gravity.v9i1.12348

Abstract

CZTS (Cu2ZnSnS4) is a readily available, cost-effective, and non-toxic material that uses as a material for absorbing coatings on solar cells. This study aims to examine making CZTS using the Ball-milling method. This method uses a cylindrical grinding machine to reduce coarse materials into more delicate fabrics. The CZTS synthesis process using ball-milling produces better results than other non-sputtering methods. In addition, the synthesis of CZTS using ball-milling can increase the yield of better solar cells. However, in ball-milling, there are still shortcomings, one of which is the presence of heterogeneous elements after the synthesis.
Improving STEM Literacy on the Topic of Organic Solar Cells Through an AI-Powered Personalized Learning Platform: A Case Study of Pre-Physics Teachers Arip Nurahman; Eka Cahya Prima; Ida Kaniawati; Endi Suhendi; Nizar Alam Hamdani; Ali Ismail; Surya Gumilar; Irma F A; Lasmita Sari; Rizal Adimayuda
Proceedings Series of Educational Studies 2023: Seminar Nasional Teknologi Pendidikan
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um083.8528

Abstract

In an era where Science, Technology, Engineering, and Mathematics (STEM) education holds pivotalimportance, this research endeavors to explore innovative approaches to enhance STEM literacy,with a specific focus on the topic of organic solar cells. This study presents a case study conductedamong pre-physics teacher students to improve their understanding of this critical topic byintegrating an AI-powered personalized learning platform. The research is grounded in the beliefthat personalized learning, augmented by artificial intelligence, can offer tailored and engagingeducational experiences. By targeting pre-physics teacher students, this study not only addressesthe fundamental STEM knowledge gap but also aims to contribute to the development of proficienteducators who can effectively impart this knowledge to future generations. The study methodologyinvolves the implementation of an AI-powered personalized learning platform designed to adapt tothe individual learning needs and preferences of the participants. Data is collected from pre- andpost-intervention assessments, as well as feedback from the participants, to evaluate the platform'seffectiveness. Preliminary findings demonstrate significant improvements in STEM literacy relatedto organic solar cells among the pre-physics teacher students. The AI-powered platform, by offeringcustomized content, feedback, and learning pathways, has been instrumental in elevating theircomprehension of this complex subject matter. This research not only contributes to the field of AIenhancededucation but also offers insights into the potential of personalized learning platforms inimproving STEM literacy. The findings have implications for curriculum development, teachertraining, and the broader quest for fostering STEM competence among the next generation ofeducators. In conclusion, the study underscores the promise of AI-powered personalized learningplatforms in augmenting STEM education, explicitly enhancing the understanding of organic solarcells among pre-physics teacher students.
STEAM-DESIGN PROCESS WITH TELESCOPE PROJECT TO FOSTER STUDENTS’S ATTITUDE TOWARD SCIENCE Jihan Reihana Nurfadhila; Nanang Winarno; Eka Cahya Prima; Ahmad, Nur Jahan
INSECTA: Integrative Science Education and Teaching Activity Journal Vol. 6 No. 2 (2025)
Publisher : Science Education, Institut Agama Islam Negeri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21154/insecta.v6i2.11605

Abstract

Attitude Toward Science in the PISA global ranking shows a low-average. This study analyzed the effect of STEAM-Design Process on students’ attitude toward science in the topic of optical instruments. Quantitative research method alongside a quasi-experimental design was utilized in this study. The experimental class used the STEAM-Design Process whereas the control group used conventional learning. The sample for this study were 8th-grade students from a public school in Tasikmalaya Regency, Indonesia. The experimental group consisted of 38 students, while the control group consisted of 30 students. Students ages ranged from 13-14 years old. The data obtained in this study used 60 statements form a questionnaire with two open-ended questions. The findings revealed a significant difference in attitude toward science between the experiment and control class. The N-Gain score in the experiment class is 0.32 and control class 0.12, which is described as medium and low improvement. Based on this research, teaching through STEAM- Design Process is effective approach that can be significantly improve attitude toward science. Educators should consider integrating this model more broadly in secondary science curricula. It is recommended to explore the long-term effects and explore ways to better support the emotional dimensions of student attitudes.