Published: 2025-07-01

Smart Absen Siswa dan Guru dengan Menggunakan Computer Vision pada Mafatih Islamic School Tebet

DOI: 10.35870/jtik.v9i3.3792

Dadang Iskandar Mulyana, Sopan Adrianto, Muhammad Rifqi Syatria, Muhammad Rival, Rodhi Shafia Zaidan
  • Dadang Iskandar Mulyana: , Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
  • Sopan Adrianto: , Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
  • Muhammad Rifqi Syatria: , Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
  • Muhammad Rival: , Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
  • Rodhi Shafia Zaidan: , Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika

Abstract

An integrated technology-based attendance system was developed to address the inefficiencies of queuing and the dependency on manual input at Mafatih Islamic School. The proposed solution leverages a ResNet model within the dlib framework (Python) alongside a Laravel API for real-time face detection using a camera installed at the entrance. Data is temporarily stored in SQLite as an offline backup and later transmitted to the server in base64 format, accompanied by bounding box visualization as audit evidence.This system is capable of handling.

Keywords

Smart Attendance System ; Facial Recognition ; Computer Vision ; Student Attendance ; Educational Techno

Peer Review Process

This article has undergone a double-blind peer review process to ensure quality and impartiality.

Indexing Information

Discover where this journal is indexed at our indexing page to understand its reach and credibility.

Open Science Badges

This journal supports transparency in research and encourages authors to meet criteria for Open Science Badges by sharing data, materials, or preregistered studies.

Issue Cover

Downloads

Article Metrics

If the link doesn't work, copy the DOI or article title for manual search (API Maintenance).

Share:
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.

  • Issue: Vol. 9 No. 3 (2025)

  • Section: Computer & Communication Science

  • Published: July 1, 2025

AI Research Hub

This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem. By leveraging artificial intelligence for indexing, recommendation, and citation analysis, we enhance the visibility and impact of published research.

Semantic Scholar Scite Dimensions Connected Papers

Similar Articles

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)