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Implementation of Automatic Attendance System Based on Face Recognition Using CNN Method in IPB University Vocational School Environment Dini Nurul Azizah; Raisa Mutia Thahir; Luthfi Dika Chandra; Muhammad Naufal Ardhani; Endang Purnama Giri; Gema Parasti Mindara
International Journal of Multilingual Education and Applied Linguistics Vol. 1 No. 4 (2024): November : International Journal of Multilingual Education and Applied Linguist
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmeal.v1i4.94

Abstract

The research focuses on creating an automated attendance system using face recognition through the Convolutional Neural Network (CNN) approach at IPB University's Vocational School. The current manual attendance methods show limitations, such as potential inaccuracies in recording and the risk of cheating, like attendance proxies. To overcome these challenges, this study applies the CNN approach with Python and OpenCV, enabling automatic face detection and recognition for students. The system accurately logs attendance by identifying faces in real time. Testing indicates that the system records attendance reliably, whether with a single individual or with multiple faces present within a single frame.
Implementation of Augmented Reality with Marker Based Tracking on Custom Gift Products by Tricksy.co Raisa Mutia Thahir; Jasmine Aulia Mumtaz; Kinaya Khairunnisa Komariansyah; Wien Kuntari
International Journal of Computer Technology and Science Vol. 2 No. 1 (2025): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v2i1.130

Abstract

This research explores the integration of Augmented Reality (AR) technology into custom gift products by Tricksy.co to create a more interactive and personalized gift-giving experience. By utilizing EyeJack Creator, a platform for creating AR photo markers, the system allows customers to design gifts that display personalized videos when scanned. The process includes generating AR markers, integrating QR codes, and ensuring compatibility with both iOS and Android devices. System testing confirmed that the AR markers successfully displayed the videos as intended, with smooth functionality across different platforms. However, slow internet connections impacted the speed of AR content downloading. This study highlights the potential of AR to revolutionize the gift industry by adding a unique digital layer to physical gifts, offering both emotional and interactive value.
BLACK BOX TESTING USING EQUIVALENCE PARTITIONING TECHNIQUE ON BAKKAR WEBSITE Aisya Tyanafisya; Algyon Faras; Nakula Bintang Nashwandra; Reza Pratama; Raisa Mutia Thahir; Wicaksono, Aditya; Mindara, Gema Parasti
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 10 No 1 (2025): APRIL
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v10i1.52951

Abstract

This study aims to evaluate the functionality of the Bakkar website using the Black Box Testing method and the Equivalence Partitioning technique. The primary focus of testing lies in the login and registration features, which are critical components of user interaction. Equivalence Partitioning was employed to divide input data into valid and invalid partitions, allowing for efficient test case coverage without sacrificing thoroughness. In total, 17 test scenarios were designed to represent various user input conditions. The results showed that 15 out of 17 test cases were executed successfully, resulting in a success rate of 88.24%. The two failed scenarios revealed that the system lacked clear feedback when handling invalid inputs, such as incorrectly formatted emails or insufficient password length. These outcomes highlight the need for better input validation and more informative error messages to improve system reliability and user experience. Overall, the findings demonstrate that the Equivalence Partitioning technique is effective for identifying functional issues in web applications and can be a practical approach for similar testing contexts.