Classroom Attendance Monitoring System Using Radio Frequency Identification with Web Application

Abstract

Throughout the years, attendance monitoring has widely evolved from manual methods to the integration
of technology. Manual attendance monitoring in an institution consumes time, hard to
maintain, prone to human error, and leads to misplaced or lost records. Individuals also tend to take
advantage of the flaws of the manual method that leads them to commit hoax and forgery. Despite
the innovation of different automated systems, biometric recognition systems, RFID technology, and
barcodes also have disadvantages. To address the shortcomings of the existing methods and to minimize
the contingencies, this paper describes the use of a web application that utilizes an ultra-high
frequency (UHF) RFID with a motion sensor to monitor the attendance of students from the University
of San Carlos. A Raspberry Pi 3 Model B is used in controlling the input and output, in
which it is outputted on an LED. Wireless communication is used between the hardware system and
the web system to record and validate students’ attendance records. A web application is developed
for faculty, students, and chairperson to monitor class attendance and to minimize contingencies. In
addition, the faculty can edit and generate a seating plan.