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Multiperson Automated Attendance System Based on Face Recognition Using YOLO and DeepFace with Active Learning Suprihanto, Didit; Wirawan, Adi Pandu; Saputra, Kahlil Gibran; Harjanto, Arif; Hakim, Imam Muhammad; Nugroho, Happy
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1772

Abstract

Accurate student attendance tracking is essential in academic environments, yet traditional methods remain inefficient and vulnerable to manipulation. This research presents a classroom attendance system based on facial recognition that integrates YOLO for multiperson face detection and the SFace model from the DeepFace framework for feature extraction and identity matching. A key contribution of this study is the implementation of an Active Learning mechanism that enables the system to update its embedding Database using user-provided corrections, enabling continuous adaptation to real classroom conditions. The system was developed as a Python-based desktop application and evaluated using 38 group images captured with various devices under uncontrolled lighting, diverse head poses, occlusion, and different classroom densities. Performance was assessed using accuracy, False Rejection Rate (FRR), and False Acceptance Rate (FAR) across two scenarios: before and after Active Learning. Experimental results show a substantial improvement after the learning process, with accuracy increasing from 52.0% to 96.6%, while maintaining a low FAR of 0%. These findings demonstrate that Active Learning effectively enhances recognition performance by enriching the embedding Database with real-world facial variations that do not present during initial registration. Overall, the proposed system highlights the importance of integrating Active Learning into face recognition–based attendance applications to improve robustness and adaptability in unconstrained multiperson classroom environments.
Rocket Stove as an Eco-Friendly Waste Incinerator for Central Santan Village: Rocket Stove Sebagai Inovasi Alat Pembakaran Sampah Ramah Lingkungan Untuk Desa Santan Tengah Dean, Yosia; Baptista, Yohanes; Hamonangan, Rafael; Putra, Alvindra; Nabila, Cahya; Asma, Nur; Sapitri, Selvi; Saputri, Madya; Dian, Stevani; Dzikry, Muhammad; Triana, Syebat; Wirawan, Adi Pandu
ANDIL Mulawarman Journal of Community Engagement Vol. 3 No. 2 (2026): ANDIL Mulawarman J Comm Engag
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LP2M), Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/andil.v3i2.3725

Abstract

The implementation of the Rocket Stove program in Santan Tengah Village, Marangkayu Subdistrict, Kutai Kartanegara Regency, has demonstrated its potential in addressing waste management issues, particularly organic waste, especially household waste, which is traditionally managed through open burning. This technology has the potential to be integrated into an integrated waste management system that encompasses the aspects of reduce, reuse, and recycle (3R), while also providing economic value through the utilization of the heat energy generated for the daily needs of the community. The initiative began with activities to identify community issues and needs, program planning, material and tool planning, and the construction of the rocket stove itself. Through outreach and direct demonstrations, the community demonstrated high enthusiasm for this technology, which is expected to transform waste management practices into healthier, more efficient, and sustainable ones. Success criteria are defined as: The rocket stove operates stably and safely, a reduction in dry waste volume at the testing site, positive acceptance from village officials and surrounding residents, and the establishment of Standard Operating Procedures (SOPs) and a sustainable management plan.