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All Journal JURNAL PENDIDIKAN TAMBUSAI Jurnal Mekanova : Mekanikal, Inovasi dan Teknologi Jurnal Vokasi INFOKUM Journal Of Artificial Intelligence And Software Engineering eProceeding of TIK
Guntur Syahputra, Guntur
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Aerospace Engineering Automotive Engineering Computer Science & IT Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

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Journal : Journal Of Artificial Intelligence And Software Engineering

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Webcam-Based Finger Detection Using Mediapipe Rudi, Fachri Yanuar; Syahputra, Guntur; Erdiansyah, Umri; Safar, Ilham
Journal of Artificial Intelligence and Software Engineering Vol 5, No 2 (2025): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i2.6996

Abstract

The development of multimedia-based learning tools continues to advance alongside technological innovations, particularly in recognizing parts of the human body such as fingers. This study aims to develop an interactive learning application for identifying the names of fingers using motion capture technology through Mediapipe and the Python programming language. The application utilizes a webcam as the input device to detect hand positions and movements in real-time. The system is designed to recognize individual fingers by comparing the length of finger segments and the width of the palm, based on hand landmark data provided by the Mediapipe Hands module. Testing results show that the application achieved a 90% success rate across 50 trials. These results indicate that Mediapipe technology holds significant potential for use in the development of interactive and educational learning media.
Implementation of RFID-Based Attendance Integrated with Management Systems and Notifications via WhatsApp Salsabila, Salsabila; Anwar, Anwar; Syahputra, Guntur
Journal of Artificial Intelligence and Software Engineering Vol 4, No 2 (2024)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v4i2.6130

Abstract

Currently, attendance recording faces challenges, especially with validation using Mac Addresses which is suboptimal due to the dynamic nature of device IP Addresses. To address this issue, the researcher proposes integrating the existing management system with RFID-based attendance. RFID technology enables tracking and identification using radio waves without direct contact, ensuring efficient and accurate attendance recording. The system will send attendance notifications to teachers via WhatsApp and store data in a database, facilitating monthly summaries and ensuring data security and availability for future reference. This research utilizes blackbox testing to evaluate system accuracy, achieving a 95% accuracy rate in RFID tag readings and successful RFID tag scanning processes. Network speed measurement using QoS shows favorable results, with a throughput of 77.4 Kbps, zero packet loss, an average delay of 1.919 ms, and jitter of 1.92 ms in tests involving 15 RFID tags
Co-Authors Abdi, Mustainul Amri Anwar Anwar Aswandi Aswandi, Aswandi Atthariq, Atthariq bin Amirudin, Iphonsyah Erdiansyah, Umri Fajrirrahman, Faiz Aiman Fardaniah, Nurani Harum Ferdian, Aldi Gumilang, Muhammad Imam Hadinata, Mizwar Hidayat, Hari Toha Ilham Safar Indrawati Mahdi Muhammad Nasir Muhammad Riska Mursyidah Mursyidah Nofirda, Fitri Ayu Ramadhana, Muhammad Afrinza Ramadhani, Sulistia Rudi F, Fachri Yanuar RUDI, FACHRI YANUAR Salsabila, Salsabila Sinaga, Maula Zikri Teuku Zulfadli Wulandari, Cindy Yanuar, Fachri