STUDENT ATTENDANCE MONITORING SYSTEM USING QR CODES AND SMS NOTIFICATIONS AT HORACIO DELA COSTA ELEMENTARY SCHOOL

Abstract

The Student Attendance Monitoring System developed for Horacio Dela Costa Elementary School utilizes QR codes and SMS notifications to enhance the efficiency and accuracy of student attendance tracking. The system aims to address common issues such as time-consuming manual recording, inaccurate data entry, lack of security and privacy, difficulties in generating attendance reports, and absence of real-time updates. Specifically, it seeks to reduce the time spent on attendance monitoring, minimize data input errors, ensure the security of student information, simplify report generation, and provide real-time notifications to parents or guardians regarding the students' time of arrival and departure. The system was developed using the Waterfall Model. Java and SQL served as the primary programming languages, while XAMPP was used as the database server. Hardware components included a computer, QR code scanner, and mobile phone. Software tools utilized in the development process included NetBeans, MySQL, Microsoft Word, Canva, XAMPP, and Adobe Photoshop. The implementation process involved training sessions, demonstrations, system testing, validation, and eventual deployment. Key features of the system include the generation of unique QR codes for each student, integration with a QR code scanner to automate attendance logging, and automatic generation of attendance reports. The SMS notification feature sends real-time messages to the registered parent or guardian, indicating the exact time the student entered and exited the classroom. The QR code scanning feature achieved a 95% success rate, with scanning errors occurring mostly due to damaged or low-quality QR codes. The SMS feature also showed a 95% success rate, with occasional delays attributed to network issues. The system significantly streamlined the attendance-taking process by automating and accelerating data recording. However, a noted limitation is its current implementation only supports Grade 1 and Grade 2 levels, where a single teacher handles all subjects. For future development, it is recommended to explore alternative technologies such as facial recognition, RFID, or biometric systems to further enhance functionality and scalability across all grade levels.