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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Sistemasi: Jurnal Sistem Informasi Dinamisia: Jurnal Pengabdian Kepada Masyarakat Journal of Information Technology and Computer Engineering REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Generic ABDIKOM
Huda Ubaya
Sriwijaya University
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Social Sciences Other

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Implementation of Fisherface Algorithm for Eye and Mouth Recognition in Face-Tracking Mobile Robot Zarkasi, Ahmad; Ubaya, Huda; Exaudi, Kemahyanto; Duri, Ades Harafi
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 10 No. 3 (2024): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v10i3.29266

Abstract

Facial recognition is an artificial intelligence algorithm that distinguishes one face from another by capturing facial patterns visually. This recognition specifically detects and identifies individuals based on facial features by scanning the entire face. Several methods are used for facial detection, including facial landmarks points, Local Binary Patterns Histograms (LBPH), and Fisherface. In the context of this research, Fisherface is used to reduce the dimensionality of facial space in order to obtain image features. The method is insensitive to changes in expression and lighting, leading to better pattern classification and making it suitable for implementation on mobile devices such as robot vision. Therefore, this research aimed to measure the response time speed and accuracy level of pattern recognition when implemented on mobile robot devices. The results obtained from the accuracy testing showed that the highest accuracy for face detection process was 90%, while the lowest was 78.3%. In addition, the average execution time (AET) for the fastest process was 1.63 seconds and the slowest was 1.72 seconds. For pattern recognition, the statistics showed 90% accuracy, 100% precision, 81.81% recall, and F-1 score of 89.5%. Meanwhile, the longest execution time was 0.084 seconds and the fastest was 0.064 seconds. In face tracking process, the mobile robot movement was based on real-time pixel sizes, determining x and y values to produce the center of face region.
Scheduling Information System at SMA N 1 Madang Rasuan OKU Timur Kurniawan*, Dedy; Passarella, Rossi; Sutarno, Sutarno; Rifai, Ahmad; Isnanto, Rahmat Fadli; Ubaya, Huda; Exaudi, Kemahyanto; Sari, Purwita; Hanifah, Izzati Millah; Perdani, Tharisa Antya
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 1 (2024): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v8i1.18009

Abstract

The development of technology and information systems is currently so rapid, especially after the corona pandemic era, everything began to use technological assistance, not spared until the elements of the school were required to use technology as a means of learning, one of the considerations of the school in using technology including as a schedule management system. In this website-based scheduling application system for SMAN 1 Madang Suku 1, the author and co-author create a scheduler application that can easily manage schedules that already have integrated data between subjects, teachers, majors, classes at school. the purpose of making this application system is to increase efficiency in the process of scheduling classes and rooms at SMA 1 Madang Rasuan OKU Timur, and also make it easier for students to access the required schedule so that the schedule does not have to be taken at school again. The final result of this research is to produce a web-based application program that can help teachers or school admins to create and manage subject schedules with a good appearance and equipped with various features so that the subject scheduling process becomes more efficient and organized.
Co-Authors -, Abdurahman - Adi Hermansyah, Adi Aditya Putra Perdana Prasetyo Ahmad Rifai Ahmad Zarkasi Almuqsit, Alif Asvi, M. Fauzi Bhakti Yudho Suprapto Dedy Kurniawan Deris Stiawan Duri, Ades Harafi Fadli Isnanto, Rahmat Fitriyanto, Megi Haidar, Rosali Hanif, Labiq Al Hanifah, Izzati Millah Herdiana, Dina Heriyanto, Ahmad Kemahyanto Exaudi Mileandira, Leviarta Muhammad Afif Osvari Arsalan P.P Prasetyo, Aditya Perdani, Tharisa Antya Purwita Sari, Purwita Puspita, Heni Rahmat Fadli Isnanto Rizki Kurniati Rossi Passarella Sarmayanta Sembiring selly Selly Siti Nurmaini Sri Desy Siswanti Sutarno Sutarno Y. A. P, Kadek Dwivayana