Classroom Attendance Monitoring System Using Radio Frequency Identification with Web Application
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 o...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
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Innovative Information Science & Technology Research Group (ISYOU)
2021-12-01
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Series: | Research Briefs on Information & Communication Technology Evolution |
Subjects: | |
Online Access: | http://dx.doi.org/10.22667/ReBiCTE.2020.12.15.010 |
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author | John Dominic Aniñon Kenneth Kent Flores Cliff Sean Kyle Otadoy John Paul Rodas Julia Fe Tabaco Jan Dave Campañera Alvin Joseph Macapagal |
author_facet | John Dominic Aniñon Kenneth Kent Flores Cliff Sean Kyle Otadoy John Paul Rodas Julia Fe Tabaco Jan Dave Campañera Alvin Joseph Macapagal |
author_sort | John Dominic Aniñon |
collection | DOAJ |
description | 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. |
first_indexed | 2024-12-20T17:53:24Z |
format | Article |
id | doaj.art-bbe6a4b0ee49452b9447a2fd56cd6717 |
institution | Directory Open Access Journal |
issn | 2383-9201 |
language | English |
last_indexed | 2024-12-20T17:53:24Z |
publishDate | 2021-12-01 |
publisher | Innovative Information Science & Technology Research Group (ISYOU) |
record_format | Article |
series | Research Briefs on Information & Communication Technology Evolution |
spelling | doaj.art-bbe6a4b0ee49452b9447a2fd56cd67172022-12-21T19:30:47ZengInnovative Information Science & Technology Research Group (ISYOU)Research Briefs on Information & Communication Technology Evolution2383-92012021-12-01610:110:2110.22667/ReBiCTE.2020.12.15.010Classroom Attendance Monitoring System Using Radio Frequency Identification with Web ApplicationJohn Dominic Aniñon0Kenneth Kent Flores1Cliff Sean Kyle Otadoy2John Paul Rodas3Julia Fe Tabaco4Jan Dave Campañera5Alvin Joseph Macapagal6Department of Computer Engineering, University of San Carlos, Philippines, 6000Department of Computer Engineering, University of San Carlos, Philippines, 6000Department of Computer Engineering, University of San Carlos, Philippines, 6000Department of Computer Engineering, University of San Carlos, Philippines, 6000Department of Computer Engineering, University of San Carlos, Philippines, 6000Department of Computer Engineering, University of San Carlos, Philippines, 6000Department of Computer Engineering, University of San Carlos, Philippines, 6000Throughout 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.http://dx.doi.org/10.22667/ReBiCTE.2020.12.15.010attendance monitoringradio frequency identificationweb application |
spellingShingle | John Dominic Aniñon Kenneth Kent Flores Cliff Sean Kyle Otadoy John Paul Rodas Julia Fe Tabaco Jan Dave Campañera Alvin Joseph Macapagal Classroom Attendance Monitoring System Using Radio Frequency Identification with Web Application Research Briefs on Information & Communication Technology Evolution attendance monitoring radio frequency identification web application |
title | Classroom Attendance Monitoring System Using Radio Frequency Identification with Web Application |
title_full | Classroom Attendance Monitoring System Using Radio Frequency Identification with Web Application |
title_fullStr | Classroom Attendance Monitoring System Using Radio Frequency Identification with Web Application |
title_full_unstemmed | Classroom Attendance Monitoring System Using Radio Frequency Identification with Web Application |
title_short | Classroom Attendance Monitoring System Using Radio Frequency Identification with Web Application |
title_sort | classroom attendance monitoring system using radio frequency identification with web application |
topic | attendance monitoring radio frequency identification web application |
url | http://dx.doi.org/10.22667/ReBiCTE.2020.12.15.010 |
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