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Implementation of Convolutional Neural Network and Vincenty Formula on Face Attendance System Web-Based for Managing the Attendance Meidelfi, Dwiny; Hendrick; Yulherniwati; Novi; Zulfitri, Alvin Faiz
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 3 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.5.3.181

Abstract

The level of student attendance at tertiary institutions has a crucial role in determining the quality of education. The Information Technology Department at Padang State Polytechnic realizes the urgent need to increase the efficiency of managing student attendance, which currently still relies on a manual attendance system. As an innovative solution, this research proposes designing a face-based attendance system that utilizes facial recognition technology to verify student attendance automatically. One of the challenges in developing a face-based attendance system is the accuracy of calculating the distance between the student's location and the institutional location. To overcome this problem, the research used the Vincenty Formula method which was proven to have a high level of accuracy in calculating the distance between two points on the earth. The integration of this method is expected to increase the accuracy of calculating the distance between the student's location and the institution. Apart from that, this attendance system adopts the Convolutional Neural Network (CNN) algorithm, an algorithm specifically designed to process two-dimensional data. CNN is used to learn and detect features in images so that facial recognition can be done with a high level of accuracy. This approach is expected to improve system performance in recognizing and verifying student attendance.
Analisis Usability Testing pada Sistem Informasi Dokumentasi dan Pelaporan Akreditasi Zahra, Suci Khairatuz; Yulherniwati; Hadi, Ronal
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 5 No 3 (2024)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.5.3.247

Abstract

Study Program Accreditation is an effort to improve the quality of higher education institution services can be realized by building an information system and quality culture. This study was carried out to create an information system that is able to accommodate accreditation documentation and reporting in the Information Technology Department and analyzing usability testing with the system usability scale (SUS) and user interviews. The research results show that the average SUS score is 65. This score shows that users can accept information systems based on aspects of their usability. However, improving the quality of the application is still necessary, because the usability score also shows that the quality of the application is still at level D. Evaluation to improve application quality can begin by improving aspects of errors and satisfaction in the information system.
Black-Box Testing pada Sistem Evaluasi Capaian Pembelajaran Berdasarkan Outcome Based Education Yulherniwati; Febrian Kasmar, Andre; Hadi, Ronal; Humaira; Asri, Ervan
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 6 No 2 (2025)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.6.2.279

Abstract

The implementation of outcome based education curriculla requires an evaluation system capable of objectively and systematically measuring the achievement of graduation learning outcomes (GLO). Therefore, comprehensive testing of the GLO evaluation system is essentially to ensure its reliability. This study designs functional testing using a black box-testing testing approach, employing techniques such as equivalence class partitioning, boundary value analysis and state transition testing. The test case design process follow the software testing process according to ISTQB, focusing on the initial three stages: planning, analysis and design. The findings indicate that this approach is effective in verifying the qualityof GLO evaluation system based on OBE. The resulting test case design can serve as a reference for subsequent testing stages, both manual and automated