Published: 2026-07-01
Aplikasi Absensi Pengenalan Wajah dengan Menggunakan Algoritma YOLOv11
DOI: 10.35870/jtik.v10i3.5965
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Abstract
Manual or semi-manual attendance recording may lead to recap errors, delayed reporting, and misuse such as proxy attendance. This study develops a web-based attendance prototype leveraging You Only Look Once version 11 (YOLOv11) to perform face detection and identity recognition within a single end-to-end pipeline. The research stages include a literature review, data acquisition and pre-processing (640×640 letterbox resize and normalization), transfer-learning-based model training, and system implementation using Laravel and MySQL integrated with a Python inference service exposed via a REST API. Model performance was assessed using standard detection metrics (precision, recall, mAP@0.5, and mAP@0.5:0.95), complemented by black-box functional testing of core application modules (enrollment, attendance logging, and reporting). Internal evaluation demonstrates strong performance with precision of 0.982, recall of 0.975, mAP@0.5 of 0.987, and mAP@0.5:0.95 of 0.963. Nevertheless, performance degrades under challenging real-world conditions (extreme low-light, backlight, mask usage, and partial occlusion) and on external dataset testing, suggesting sensitivity to domain shift. Overall, the proposed system indicates practical potential for real-time attendance automation and reduced recording errors, while highlighting the need for richer, more diverse training data and cross-domain evaluation to improve generalization.
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Article Information
This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 10 No. 3 (2026)
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Section: Computer & Communication Science
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Published: %750 %e, %2026
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License: CC BY 4.0
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Copyright: © 2026 Authors
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DOI: 10.35870/jtik.v10i3.5965
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Vanness Bee
Program Studi Informatika, Fakultas Ilmu Komputer dan Rekayasa, Universitas Multi Data Palembang, Kota Palembang, Provinsi Sumatera Selatan, Indonesia.
Ery Hartati
Program Studi Informatika, Fakultas Ilmu Komputer dan Rekayasa, Universitas Multi Data Palembang, Kota Palembang, Provinsi Sumatera Selatan, Indonesia.
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