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All Journal Finger : Jurnal Ilmiah Teknologi Pendidikan Jurnal Pendidikan Teknologi Informasi dan Komunikasi
Lala Septem Riza
Universitas Pendidikan Indonesia, Jawa Barat
Computer Science & IT Education Languange, Linguistic, Communication & Media Social Sciences Other

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Development of Virtual Reality Media for Earthquake Simulation Muhammad Bahrul Ulum; Prasetyaningsih Prasetyaningsih; Anthonio Akbar; Raseeda Hamzah; Wahyudin Wahyudin; Lala Septem Riza
FINGER : Jurnal Ilmiah Teknologi Pendidikan Vol. 4 No. 3 (2025): Finger : Jurnal Ilmiah Teknologi Pendidikan
Publisher : CV. Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/finger.v4i3.460

Abstract

Background: Indonesia has a high risk of earthquakes, necessitating innovative approaches to disaster mitigation education.Aims: This study aims to develop Virtual Reality (VR)-based learning media to enhance students’ understanding and preparedness, particularly among students, in facing earthquake scenarios.Methods: The development process comprises four main stages: identifying educational content, designing interactive scenarios, creating 3D assets and interactive elements, and developing the virtual reality application using Unity.Results: The developed interactive VR media includes a tutorial feature, selectable earthquake location scenario (classroom, library, laboratory), and adjustable earthquake magnitude settings. It enables users to experience immersive and safe earthquake simulations while actively practicing appropriate  emergency response procedures.Conclusion: The application of VR-based learning media offers substantial potential to enhance disaster literacy, increase student engagement, and create more meaningful learning experiences. The implementation of this media in educational settings is expected not only to strengthen a culture of disaster awareness but also to contribute to reducing casualties and losses caused by earthquakes in the future.
School Feasibility Analysis and Grade Improvement Strategies Using the Random Forest Algorithm Farrel Rahma Aliyya; Syahandhika Naufal Farizi; Lala Septem Riza; Rani Megasari; Eki Nugraha; Asep Wahyudin
JENTIK : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 4 No. 2 (2025): Jurnal Pendidikan Teknologi Informasi dan Komunikasi
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jentik.v4i2.475

Abstract

Background of Study: Educational disparities across Indonesian provinces persist, particularly in infrastructure, teacher quality, and dropout rates, necessitating data-driven analysis for equitable improvements.Aims: This study investigates school feasibility and proposes strategies to enhance provincial education performance using the Random Forest algorithm.Methods: Aggregated provincial education data covering student numbers, dropout rates, teacher qualifications, and classroom conditions were transformed into derivative indicators. A binary classification (Feasible/Not Feasible) based on national dropout median was applied. The model was developed using R with six systematic steps, including training and evaluation of a Random Forest model (ntree = 100, mtry = 3) using accuracy, sensitivity, and specificity.Result: The model accurately classified school feasibility. Key predictors included teacher quality, student-teacher ratios, and classroom conditions. Several provinces were identified as “Not Feasible.”Conclusion: Machine learning proves effective for education policy support. The study offers targeted recommendations such as improving infrastructure, enhancing teacher training, and reducing dropouts to promote equitable education in Indonesia.
Co-Authors Anthonio Akbar Asep Wahyudin Eki Nugraha Farrel Rahma Aliyya Muhammad Bahrul Ulum Prasetyaningsih Prasetyaningsih Rani Megasari Raseeda Hamzah Syahandhika Naufal Farizi Wahyudin Wahyudin