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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jupiter Prosiding Semnastek Annual Research Seminar JOIN (Jurnal Online Informatika) Jurnal Ilmiah Matrik Jurnal Sisfokom (Sistem Informasi dan Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JOISIE (Journal Of Information Systems And Informatics Engineering) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Information Systems and Informatics Jurnal Teknologi Dan Sistem Informasi Bisnis Zonasi: Jurnal Sistem Informasi Indonesian Journal of Electrical Engineering and Computer Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Teknologi Informatika dan Komputer Journal of Computer and Information Systems Ampera Jurnal Pengembangan Sistem Informasi dan Informatika Jurnal Media Informatika Jurnal Nasional Pengabdian Masyarakat International Journal Software Engineering and Computer Science (IJSECS) Jurnal Ilmu Komputer dan Sistem Informasi RESLAJ: Religion Education Social Laa Roiba Journal Ngabdimas Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Ilman Zuhri Yadi
Universitas Bina Darma
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Evaluasi Kualitas Layanan Aplikasi Ujian Digital Menggunakan Metode Webquall 4.0 pada SMA Negeri 1 Semendawai Barat Deska Novita Sari; Susan Dian Purnamasari; Ilman Zuhri Yadi; Nia Oktaviani
Reslaj: Religion Education Social Laa Roiba Journal Vol. 7 No. 11 (2025): RESLAJ: Religion Education Social Laa Roiba Journal
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/reslaj.v7i11.9947

Abstract

The Computer-Based Testing (CBT) application plays a significant role in supporting the learning evaluation process in the modern era. As a technology- based tool, this application enables examinations to be conducted more efficiently, quickly, and in a more structured manner compared to conventional paper-based methods. SMA Negeri 1 Semendawai Barat is a state senior high school located in Kangkung Village, Semendawai Barat Sub-district, Ogan Komering Ulu Timur Regency, South Sumatra Province. The school has implemented information and communication technology (ICT) in its teaching and learning activities, including the administration of examinations through the use of the Bravo Computer-Based Testing (CBT) application to improve the quality of academic evaluations. The use of the Bravo CBT application reflects the school's commitment to keeping pace with developments in educational technology. One method that can be used to evaluate the effectiveness of such applications is WebQual, which is an enhancement of the Servqual method a tool that has long been used in evaluating service quality. WebQual has been adapted specifically to measure the quality of applications or websites through three main dimensions: usability, information quality, and service interaction. Research findings indicate that the variables Usability and Information Quality do not have a significant effect on Service Quality, whereas the Service Interaction Quality variable does have a significant impact on Service Quality.
Pengembangan Aplikasi Presensi Berbasis Deep Learning Lailatul Akmal; Ilman Zuhri Yadi; Yesi Novaria Kunang; Fatma Sari
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.354

Abstract

A facial recognition-based attendance system is a modern solution to overcome the weaknesses of manual attendance methods that are prone to manipulation and recording errors. This study uses a deep learning-based attendance application by implementing a Convolutional Neural Network (CNN) using MobileNetV2, VGG16, and ResNet50 architectures optimized for devices with limited resources. The facial dataset was collected independently and went through preprocessing stages, including normalization, resizing, augmentation, and face detection with OpenCV. The model was trained using TensorFlow and Keras on Google Colab with a GPU. It was then evaluated using a confusion matrix, which yielded accurate predictions with a low error rate. A classification report was also conducted, with an accuracy of 0.98, a precision of 1.00, a recall of 1.00, and an F1-score of 1.00, achieving a very high level of performance, indicating no prediction errors. A Flask web-based application was designed to connect the facial recognition model with the user interface, and was tested in real-time to measure the speed and accuracy of attendance. The results show that the CNN-based attendance application is able to provide a safer, faster, and more efficient attendance alternative compared to conventional methods.
Co-Authors Afiyudi, Afiyudi Afriyudi Aldi Hermawan Alex Wijaya Alhimni Alhimni Alsindo, Yanzen Amalia, Rahayu Andika, Muhamad Andri Andri Andri, Andri Anisa Kardiana Anjelina Anjelina Ayu Gahardina Bagas Hijra Primantara dedi irawan Dedi Irawan Deni Erlansyah Deska Novita Sari Dzakwan, Fadhlur Rahman Faishol, Ahmad Dzulfaqqor Fatma sari Fatmasari Gllen yusuf abbel Hamanrora, Muhammad Dio Hermawan, Aldi Irman Effendy Kurniasih, Rani Tri Kurniati, Rafiqah Kusuma, Doni Lailatul Akmal Lang Dimas Perkasa Leon Andretti Abdillah M Fikri M Noufal Ikhsani M. Dimas Goworzky Mahmud Mahmud Maria Ulfa Miranda Khairunnisa Muhammad Deni Alfani Noperman Noperman Oktarina, Tri Oktaviani, Nia Oktaviani, Nia Permatasari, Susan Dian Prasetia, Syafaat Prasetya, M. Iqbal Putra, M. Soekarno Rahmadini, Aulia Nurul Ramadhona, Nuzulur Reza Juanda Rio Ananda Fitriansyah Sapitri, Wulan Sari, Tia Permata Sisca Monita Suryayusra, Suryayusra Susan Dian Purnamasari Susan Dian Purnamasari, Susan Dian Suyanto Suyanto Suzi Oktavia Kunang Timur Dali Purwanto Toriko, Liu Yesi Novaria Kunang Yulianingsih, Evi Ziqrullah, Muhammad Hafiz