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All Journal JISKa (Jurnal Informatika Sunan Kalijaga) Aptekmas : Jurnal Pengabdian Kepada Masyarakat
Wijaya, Frisky
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PELATIHAN DESAIN UNTUK PEMBUATAN MEDIA PEMBELAJARAN DAN PROMOSI DI VIHARA SUTRA MAITREYA Andreas, Kevin; Bertnas Valentino, Calvin; Hartati, Ery; Fernando; Wijaya, Frisky
Aptekmas Jurnal Pengabdian pada Masyarakat Vol 7 No 3 (2024): APTEKMAS Volume 7 Nomor 2 2024
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36257/apts.v7i2.8752

Abstract

The rapid advancement of technology has created new demands for engaging and interactive learning media and promotional materials. In the educational context, attractive and interactive learning media can help increase learners' interest and understanding of the subject matter. However, many community organizations, such as the youth at Vihara Sutra Maitreya Palembang, lack the skills to leverage digital tools for creating visually appealing content. This community service project aimed to address this issue by providing training on using the Canva application to 14 youth members of Vihara Sutra Maitreya Palembang for designing learning media and promotional materials. The training was conducted in-person and adopted a persuasive approach, combining theoretical sessions on graphic design concepts, demonstrations of Canva's features, hands-on practice, and discussions. Based on the evaluation of the training using the Likert scale, participants gave a very good rating with an overall average score of 86.23%. Quantitative targets were achieved, with 92.85% demonstrating a good understanding of the material, all participants producing at least one usable design, and 100% active participation. This initiative successfully enhanced the vihara youth's ability to create attractive visual content for educational and promotional purposes within their community while leveraging technological advancements.
Implementasi Metode YOLOv8 Mendeteksi Komputer Aktif dengan Subjek Layar Monitor Wijaya, Frisky; Hermanto, Dedy
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 10 No. 3 (2025): September 2025
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiska.2025.10.3.319-330

Abstract

Computers are one example of technological advances used in education. The use of computers that are not turned off can cause damage to computer components, and the use of electrical energy can increase. Student disobedience in turning off school laboratory computers when finished using them causes teachers to conduct manual checks by visiting each computer laboratory in the school. Deep learning is a machine learning algorithm that uses artificial neural networks. Deep learning is usually used for image recognition, voice identification, and data pattern analysis. Therefore, this study will apply the Deep Learning method, specifically YOLOv8, which aims to detect active computers based on the subject of the monitor screen and is expected to provide information about computers that are still active in the school laboratory. Based on the study's results, which detected 10 active computers, the 200-epoch model was selected with 100% accuracy at a speed of 2ms. Twenty active computers were selected, with 200 epoch models achieving 95% accuracy at a speed of 6ms per epoch. Thirty active computers were selected, with 100 epoch models achieving 96.67% accuracy at a speed of 3ms.
Co-Authors Andreas, Kevin Bertnas Valentino, Calvin Dedy Hermanto Fernando Hartati, Ery