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All Journal Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Information Technology Education Journal
Afdhaliyah, Mukhlishah
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Computer Science & IT Education Engineering

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Facial Expression Detection System for Students in Classroom Learning Process Using YoloV7 Aglaia, Alifya Nuraisyar; Afdhaliyah, Mukhlishah; Adiba, Fhatiah; Kaswar, Andi Baso; Muhammad Fajar B; Andayani, Dyah Darma; Yahya, Muhammad
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 13 No. 3 (2024)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v13i3.83978

Abstract

The utilization of technology in education is not only about using hardware or software, but also how technology can facilitate effective learning experiences. However, in the learning process there is a problem for teachers to know the level of student attention in the classroom to the material presented, so that the teacher does not know accurately the concentration of students during the learning process until it has an impact on the teacher's learning methods that are not in accordance with the characteristics of students. The purpose of this research is to detect students' facial expressions in the classroom learning process using yolov7. The implementation of several architectural models on CNN consists of several proposed methods, namely data collection, data augmentation, data annotation, split dataset, training, and model evaluation. System testing is done by measuring accuracy and comparing with other methods, namely CNN, CNN MobileNet, CNN EfficientNet-B0 and YoloV7. The test results show the average accuracy of CNN 80%, CNN MobileNet 93%, CNN EfficientNet-B0 31% and YoloV7 96%. Based on these results, it can be concluded that the YoloV7 method can detect student concentration effectively and efficiently compared to CNN, CNN MobileNet, and CNN EfficientNet-B0.  
Designing an Intuitive User Experience: SATURI’s UI/UX Approach to Public Service Access in Indonesia Prima Putra, Kurnia; Afdhaliyah, Mukhlishah; Badar, Putri Angraeni; Angraeni, Putri
Information Technology Education Journal Vol. 4, No. 1, February (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

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Abstract

This study explores the development and implementation of SATURI (Satu Akses Terintegrasi Rakyat Indonesia), a comprehensive digital platform designed to centralize public service access for Indonesian citizens. Indonesia faces significant challenges in adopting digital public services, particularly due to low digital literacy, fragmented service platforms, and issues of usability. This study follows the Design Thinking methodology, which includes Empathy, Define, Ideate, Prototype, and Test phases, to develop and refine SATURI. The Empathy phase revealed that citizens, especially in rural areas, encounter difficulty accessing and navigating digital public services. Through user-centered design, the platform integrates multiple government services, such as applying for ID cards, licenses, and tax payments, into a single interface, with features like automated data entry and geolocation services. The Ideate phase focused on developing innovative solutions to the challenges identified, while the Prototype and Test phases involved extensive usability testing and focus group discussions. Feedback led to improvements in usability, accessibility, and user satisfaction, particularly through the introduction of interactive tutorials and live chat support. The results suggest that SATURI could significantly enhance the efficiency and accessibility of public services in Indonesia, offering a more inclusive and user-friendly solution for citizens, especially those with low digital literacy. The study concludes with recommendations for expanding service integrations, improving mobile accessibility, and incorporating continuous user feedback to ensure that SATURI remains adaptable and effective for all users.
Co-Authors Adiba, Fhatiah Aglaia, Alifya Nuraisyar Andi Baso Kaswar Andi Baso Kaswar Angraeni, Putri Badar, Putri Angraeni Kurnia Prima Putra Muhammad Fajar B Muhammad Yahya