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All Journal Jurnal Pseudocode Inventa: Journal of Science, Technology, and Innovation
Candra Milad Ridha Eislam
Politeknik IDN Bogor
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Optimalisasi UI/UX Aplikasi KRL Access: Studi Redesain Berbasis Design Thinking untuk Peningkatan Usability Hanifah Murtafiatul Haq; Candra Milad Ridha Eislam; Muhammad Fikri Hilabi
Journal of Science, Technology, and Innovation Vol 1 No 2 (2025): December: Inventa: Journal of Science, Technology, and Innovation
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/d6tm9q15

Abstract

This study aims to improve the usability of the KRL Access application through a comprehensive redesign process grounded in the Design Thinking framework. The research employed a qualitative approach, focusing on user needs identified during interviews with active KRL commuters. Key issues regarding inefficient navigation, unclear icons, and limited visibility of essential features prompted the development of a streamlined interface with reorganized information hierarchy. A high-fidelity prototype was created to reflect these improvements, emphasizing clearer visual structure, reduced navigation depth, and faster access to scheduling information. Usability testing demonstrated notable improvements in user experience, particularly in task efficiency and perceived ease of use. Participants reported that the redesigned interface felt more modern, intuitive, and aligned with their expectations for rapid information retrieval. The findings indicate that incorporating user-centric design principles can significantly enhance the functionality and overall usability of public transportation applications. This research contributes practical insights into improving digital service platforms through iterative design and evaluation.
Implementasi Sistem Verifikasi dan Pengenalan Wajah Berbasis YOLOv8n dan VGG-Face untuk Absensi Perkuliahan Cahyaningsih Listya Suhardi; Candra Milad Ridha Eislam; Fernanda Agung Wicaksono
Jurnal Pseudocode Vol 13 No 1 (2026): Volume 13 Nomor 1 Februari 2026
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.13.1.44-53

Abstract

This research presents the development of a facial recognition and verification system that aims to address attendance record falsification in university lectures, a persistent challenge in non-biometric attendance management. The proposed framework integrates the efficiency of YOLOv8n for facial detection with the strong feature representation capability of VGG-Face. The system applies image augmentation to create varied facial embeddings, uses Cosine Similarity for identity verification, and evaluates its performance through accuracy, precision, recall, and F1-Score metrics. Experimental evaluations on student facial datasets captured under different lighting conditions, poses, and viewing angles show that the system achieves a stable accuracy of around 90 % without augmentation, increasing to 97 % with augmentation, which enhances overall stability and reliability. These results demonstrate that the integration of YOLOv8n and VGG-Face offers an effective and dependable solution for strengthening the security and credibility of facial recognition-based attendance systems in academic settings.
Co-Authors Cahyaningsih Listya Suhardi Fernanda Agung Wicaksono Hanifah Murtafiatul Haq Muhammad Fikri Hilabi