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Contact Name
Setyo Eko Atmojo
Contact Email
setyoekoatmojo@yahoo.co.id
Phone
+6285225998365
Journal Mail Official
lppm@upy.ac.id
Editorial Address
LPPM Universitas PGRI Yogyakarta Jl. PGRI I Sonosewu No. 117 Daerah Istimewa Yogyakarta 55182 Indonesia
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
Applied Science and Technology Research Journal
ISSN : ""     EISSN : 29636698     DOI : https://doi.org/10.31316/astro.v2i1
Applied Science and Technology Research Journal specifically focuses on problems in the development of Research in science and technology
Articles 11 Documents
Search results for , issue "Vol. 4 No. 2 (2025): Applied Science and Technology Research Journal" : 11 Documents clear
FaceGuardVMAPA: Developing an Advanced IoT-Based Facial Recognition System Using Convolutional Neural Networks for Security and Monitoring at Victorino Mapa High School Angel Danielle F. Cruz; Richelle O. Mendoza; Kurt Lorenz B. Verzosa
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 4 No. 2 (2025): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

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Abstract

The study, titled “FACEGUARDVMAPA: Developing an Advanced IoT-Based Facial Recognition System Using Convolutional Neural Networks for Security and Monitoring at Victorino Mapa High School,” aims to improve security measures and automate student attendance tracking at Victorino Mapa High School. The system leverages Convolutional Neural Networks (CNNs) for facial recognition to facilitate automatic identification and attendance management. To assess its performance, a Likert scale survey based on the ISO 25010 quality model was conducted, focusing on functional suitability, performance efficiency, usability, and security. Feedback from students, parents, and teachers reflected positive reactions, with average satisfaction ratings of 4.41, 4.43, and 4.35, respectively. These results indicate high satisfaction with the system’s features and functionality. Additionally, the inclusion of an SMS notification system, which sends real-time attendance updates to parents, strengthens communication between the school and families. The findings highlight that integrating facial recognition technology and optimized classroom scheduling improves entrance security, enhances attendance monitoring, and supports more efficient resource management. For future improvements, the study suggests the development of more user-friendly interfaces, increased accuracy of the facial recognition algorithm, and the implementation of multi-factor authentication to further enhance security.

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