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p-Index From 2021 - 2026
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All Journal Griya Journal of Mathematics Education and Application Kharisma Tech
Augis Dinanti
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Computer Science & IT Education Engineering Mathematics

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Portal rekrutmen berbasis web dengan seleksi transparan metode first come first served Zulfahmi Indra; Nafil Rizq Trianto; Augis Dinanti; Khairany Zuhriyyah Jinan Hsb; Muhammad Iqbal Fahrezzi
Griya Journal of Mathematics Education and Application Vol. 5 No. 4 (2025): Desember 2025
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v5i4.945

Abstract

The advancement of information technology has accelerated digital transformation in various sectors, including job vacancy management and distribution systems. Manual registration processes often cause issues such as data duplication, delayed information delivery, and inefficiency. This study aims to design and implement a web-based job vacancy information system that applies the First Come First Served (FCFS) method as the registration and applicant selection mechanism. The system was developed using the Waterfall model, with PHP as the programming language and MySQL as the database management system. System testing focused on functional suitability, usability, and performance efficiency. The results indicate that the system successfully manages registration processes fairly and transparently based on submission order while improving overall efficiency and user experience. This research contributes to the development of an integrated and accessible employment information system that supports digital transformation in workforce management.
Web-Based Real-Time Object Detection System with Audio Output for the Visually Impaired Muhammad Iqbal Fahrezzi; Azril Arfansyah; Augis Dinanti; Khairany Zuhriyyah Jinan Hsb; Hermawan Syahputra
KHARISMA Tech Vol 21 No 2 (2026): KHARISMATech Journal
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55645/kharismatech.v21i2.702

Abstract

Limited access to visual information is a major problem faced by visually impaired individuals, making it difficult to recognize surrounding objects and identify currency denominations independently. This issue highlights the need for a system capable of presenting visual information in a more accessible form. Therefore, this study aimed to develop a real-time object detection system based on a web platform with audio output to improve accessibility. The method included requirement analysis, system design, implementation using digital image processing and deep learning techniques, and system testing. The model applied a detection confidence threshold of ≥ 70% and achieved recognition accuracy of ≥ 85% under normal conditions. The system was also integrated with text-to-speech technology to deliver detection results in audio form. The results indicated that the system operated effectively in real-time with good responsiveness through a web browser without requiring additional installation. Therefore, the developed system proved capable of enhancing accessibility and supporting the independence of visually impaired users.
Co-Authors Azril Arfansyah Hermawan Syahputra Khairany Zuhriyyah Jinan Hsb Khairany Zuhriyyah Jinan Hsb Muhammad Iqbal Fahrezzi Muhammad Iqbal Fahrezzi Nafil Rizq Trianto Zulfahmi Indra, Zulfahmi