Herlina Herlina
Sekolah Tinggi Teknologi Mandala

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DEVELOPMENT OF A SMART PARKING SYSTEM USING AUTOMATIC DEBIT AND OPTICAL CHARACTER RECOGNITION Ninik Sri lestari; Rahmad Hidayat; Herlina Herlina; Sukirno Sukirno
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.6694

Abstract

The current parking infrastructure predominantly relies on traditional or semi-automatic mechanisms, leading to significant inefficiencies during peak hours. This study proposes the development of a fully automated smart parking system utilizing locally sourced Indonesian components to reduce dependence on imported parts. The proposed Auto-Debit Smart Parking System incorporates Optical Character Recognition (OCR) for vehicle identification and automated payment, improving both accuracy and operational efficiency. The system consists of two primary modules: server software for gate control and an image-processing host application. Space Vector Pulse Width Modulation (SVPWM) is employed for switching control, and communication is facilitated via wired or wireless channels using the RS232C standard. Vehicle entry and exit are detected by sensors that transmit signals to the Command TX module. To evaluate real world applicability, the system was implemented and tested in various public and commercial environments, including office buildings, shopping malls, and open parking areas.These testing sites represent common urban parking conditions with varying lighting, network connectivity, and traffic density, allowing the system’s adaptability and reliability to be analyzed comprehensively. An experimental research method is adopted, encompassing prototype development, testing, data acquisition, and performance evaluation. The results indicate reduced operational costs and enhanced user convenience, validating the system’s effectiveness in supporting modern, efficient parking management
Sistem Presensi Pegawai Berbasis Face Recognition Asep Suherman; Herlina Herlina; Ninik Sri Lestari; Lysda Oktaviani; Sukirno Sukirno
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 4 (2026): Oktober: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i4.4196

Abstract

This research focuses on developing a system that supports face-recognition-based employee attendance as a solution to improve accuracy, efficiency, and security in attendance recording. The system consists of two types of users: Employees and Admins. The developed system provides main features such as registration, login, profile management, clock-in and clock-out attendance through facial verification, and logout for employees, as well as data management and reporting for admins. The registration process is carried out by activating the camera and capturing a photo (via smartphone or webcam), while attendance verification uses face recognition technology to compare the facial match with the data in the database. Test results show that all main functions, including login and both clock-in and clock-out attendance, work as designed. In addition, the admin features function optimally in managing employee data and generating daily, monthly, yearly, and overall attendance reports in PDF and Excel formats. The system can be accessed via smartphone or computer, supporting flexibility in usage. Face recognition technology is used as the primary authentication method to ensure valid attendance and prevent fraud, making the system an effective and relevant digital solution for institutions and companies.