
This research paper presents the design and development of an Android-based Attendance Management System aimed at improving the efficiency, accuracy, and reliability of attendance tracking in educational institutions. Traditional attendance methods are largely manual, time-consuming, and prone to human error, which often results in inaccurate record-keeping and administrative inefficiencies. The proposed system provides a digital solution that enables administrators to manage teachers and students, while allowing teachers to securely log in and record attendance for their respective classes. The application is developed using Android Studio with Java as the primary programming language and utilizes SQLite as a local database for storing attendance records. A key feature of the system is its offline functionality, making it suitable for classrooms and institutions with limited or no internet connectivity. The user-friendly interface ensures ease of use for non-technical users while maintaining data integrity and security. The system significantly reduces paperwork, minimizes errors, and improves overall operational efficiency. The paper also discusses the system architecture, implementation approach, and potential future enhancements such as cloud integration, real-time synchronization, and automated absentee notifications, positioning the application as a scalable solution for modern attendance management.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
