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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.
Implementasi Framework Laravel dalam Pembuatan Website Segitiga Motor dengan Metode Waterfall Dini Nurul Azizah; Luthfi Dika Chandra; Muhammad Galuh Gumelar; Wien Kuntari
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 6 (2024): Desember : Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i6.539

Abstract

The Segitiga Motor website was developed using the Laravel framework with the SDLC Waterfall model approach to digitize the management of customer data and workshop services. The development process includes stages such as requirements analysis, system design, implementation, testing, and maintenance. Laravel was chosen for its ability to speed up development through reusable components and its organized and flexible structure. The website successfully integrates key features such as online service booking, customer data management, product catalog, and promotions, all effectively. Testing results show that the system works as planned, enhancing operational efficiency and making it easier for customers to access services. For future development, adding features like analytics and integration with digital payment systems could further improve customer experience and satisfaction.    
Functional Testing of the JivaJoy Online Product Stock Management and Ordering System Software Using Black Box Testing Jasmine Aulia Mumtaz; Kinaya Khairunnisa Komariansyah; Helena Dewi Hapsari; Bima Julian Mahardhika; Luthfi Dika Chandra; Muhammad Rafi' Rusafni; Wicaksono, Aditya; Mindara, Gema Parasti
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.v2i1.126

Abstract

This study focuses on black-box testing of JivaJoy software, an online product stock management and ordering system. The primary goal of this research is to evaluate the functionality and performance of the system's key features, including profile management, CRUD operations for admin and customer accounts, product stock management, shopping cart, order management, and AI counseling. Black-box testing was applied to assess whether these features meet expected operational standards and user requirements without considering the internal code structure. The test results indicate that most features function as expected. However, some issues were identified related to input validation, particularly with email format, phone number length, file uploads, and product stock management. Additionally, the order management and AI counseling features showed deficiencies in error handling and input validation. Based on these findings, the study recommends improvements in input validation, product stock management, shopping cart functionality, and AI counseling systems to enhance the reliability and performance of the JivaJoy platform. These enhancements are essential to deliver more efficient, secure, and optimal services, ensuring better user experiences and customer satisfaction.