Keywords
student attendance system, internet of things, temperature measurement
Document Type
Article
Abstract
Student attendance is a system used for tracking student activity in school. Many methods are used to develop student attendance systems, such as Quick Response (QR) Code systems, Radio Frequency Identification (RFID) systems, fingerprint systems, and so on. The COVID-19 pandemic has driven technological development, especially in the student attendance system. Measuring human surface body temperature has become a protocol that must be done before entering school. Student attendance systems need to expand the function not only for attendance but also for monitoring student surface body temperature. This research aims to improve student attendance systems by adding surface body temperature measurements and recording during student presence. Recording data can be done by using the internet of things. Student presence data will be sent to school databases throughout the internet. This system uses RFID technology for student presence and a non-contact thermal sensor for temperature measurement. According to data research, non-contact thermal sensors provide a temperature reading with an average error of 1.69%, a minimum error value of 0.96%, and a maximum error value of 2.57% with a range error value of 0.35°C - 0.95°C. RFID test shows that the optimum distance for the system to read an RFID card is 0 - 2cm. The System also successfully sent presence data to the student school database through the internet. This study concludes that developed systems can track student attendance by recording the student's surface body temperature while in presence. Further work will be focused on managing data networks if this system is used with many users in the school.
First Page
92
Last Page
100
Page Range
92-100
Issue
2
Volume
7
Digital Object Identifier (DOI)
10.21831/elinvo.v7i2.53944
Source
https://journal.uny.ac.id/index.php/elinvo/article/view/53944
Recommended Citation
M. A. Afandi et al., "Improvement of Student Attendance System for Recording Student Surface Body Temperature Based on Internet of Things,", vol. 7, no. 2, pp. 92 - 100, Dec 2022.
The definitive version is available at https://doi.org/10.21831/elinvo.v7i2.53944
References
C. A. Kearney and C. Gonzálvez, "Unlearning school attendance and its problems: Moving from historical categories to postmodern dimensions," Front. Educ., vol. 7, 2022, doi: 10.3389/feduc.2022.977672.
M. Özcan, "Student absenteeism in high schools: factors to consider," J. Psychol. Couns. Sch., vol. 32, no. 1, pp. 65-81, 2022, doi: DOI: 10.1017/jgc.2020.22.
D. Heyne, M. Gren-Landell, G. Melvin, and C. Gentle-Genitty, "Differentiation Between School Attendance Problems: Why and How?," Cogn. Behav. Pract., vol. 26, no. 1, pp. 8-34, 2019, doi: https://doi.org/10.1016/j.cbpra.2018.03.006.
G. A. Melvin et al., "The Kids and Teens at School (KiTeS) Framework: An Inclusive Bioecological Systems Approach to Understanding School Absenteeism and School Attendance Problems," Front. Educ., vol. 4, 2019, doi: 10.3389/feduc.2019.00061.
M. J. Finlay, T. Simpson, and D. J. Tinnion, "Association between attendance, online course activity time, and grades: Analysis of undergraduate sport science cohorts during the COVID-19 pandemic," J. Hosp. Leis. Sport Tour. Educ., vol. 31, p. 100397, 2022, doi: https://doi.org/10.1016/j.jhlste.2022.100397.
S. Saraswathi, S. M, Y. Salini, and M. Venkatesh, "Student attendance system using bar code scanner," Mater. Today Proc., 2021, doi: https://doi.org/10.1016/j.matpr.2020.12.898.
S. Elaskari, M. Imran, A. Elaskri, and A. Almasoudi, "Using Barcode to Track Student Attendance and Assets in Higher Education Institutions," Procedia Comput. Sci., vol. 184, pp. 226-233, 2021, doi: https://doi.org/10.1016/j.procs.2021.04.005.
C. Gonzálvez, C. A. Kearney, M. Vicent, and R. SanmartÃn, "Assessing school attendance problems: A critical systematic review of questionnaires," Int. J. Educ. Res., vol. 105, p. 101702, 2021, doi: https://doi.org/10.1016/j.ijer.2020.101702.
S. M. Anzar, N. P. Subheesh, A. Panthakkan, S. Malayil, and H. A. Ahmad, "Random Interval Attendance Management System (RIAMS): A Novel Multimodal Approach for Post-COVID Virtual Learning," IEEE Access, vol. 9, pp. 91001-91016, 2021, doi: 10.1109/ACCESS.2021.3092260.
Q. Li et al., "Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia.," N. Engl. J. Med., vol. 382, no. 13, pp. 1199-1207, Mar. 2020, doi: 10.1056/NEJMoa2001316.
I. Hafidz, D. Adiputra, B. Montolalu, W. A. Prastyabudi, H. Widyantara, and M. A. Afandi, "Robot Logistik berbasis IoT untuk Memonitoring Pasien dan Pengiriman Logistik Selama Pandemi COVID-19," J. Nas. Tek. Elektro, vol. 9, no. 3, pp. 182-188, 2020.
S. Rhodes, N. Smith, T. Evans, and R. White, "Identifying COVID-19 optimal vaccine dose using mathematical Immunostimulation/Immunodynamic Modelling," Vaccine, 2022, doi: https://doi.org/10.1016/j.vaccine.2022.10.012.
M. Mohsin et al., "Side effects of COVID-19 vaccines and perceptions about COVID-19 and its vaccines in Bangladesh: A Cross-sectional study," Vaccine X, vol. 12, p. 100207, 2022, doi: https://doi.org/10.1016/j.jvacx.2022.100207.
P. P. Zaveri et al., "Rapid Development and Testing of a COVID-19 Vaccine Curriculum for Pediatricians," Acad. Pediatr., 2022, doi: https://doi.org/10.1016/j.acap.2022.09.010.
D. Qutishat, R. Obeidallah, and Y. Qawasmeh, "An Overview of Attendance and Participation in Online Class During the COVID Pandemic: A Case Study," Int. J. Interact. Mob. Technol., vol. 16, no. 04, pp. 103-115, 2022, doi: 10.3991/ijim.v16i04.27103.
V. L. Narasimhan and Z. A. Mbero, "Internet of Things (IoT)," in ICT and Data Sciences, Boca Raton: CRC Press, 2022, pp. 23-37.
K. Sorri, N. Mustafee, and M. Seppänen, "Revisiting IoT definitions: A framework towards comprehensive use," Technol. Forecast. Soc. Change, vol. 179, p. 121623, 2022, doi: https://doi.org/10.1016/j.techfore.2022.121623.
A. K. Putri, A. Prakasa, and M. A. Afandi, "Sistem Pemantau Densitas Debu Gudang Elektronik: Perancangan dan Analisanya," J. Telecommun. Electron. Control Eng., vol. 3, no. 2, pp. 81-86, 2021, doi: 10.20895/jtece.v3i2.367.
H. R. Maulida, F. T. Syifa, and M. A. Affandi, "Pengujian Sistem RSSI pada Perancangan Prototype Pemantauan Lahan Kebun Teh Berbasis LoRa RSSI System Testing toward Prototype of Tea Plantation Monitoring Design based on LoRa," vol. 8275, pp. 117-127, 2022.
A. A. Wulandari, H. Pujiharsono, and M. A. Afandi, "Sistem Monitoring dan Kontrol Pakan Budidaya Ikan Lele menggunakan NodeMCU berbasis Internet of Things ( IoT ) Monitoring System and Control of Catfish Feed in The Fish Farm using NodeMCU based on The Internet of Things ( IoT )," vol. 8275, pp. 108-116, 2022.
E. P. Wiyanto, A. Handojo, R. Lim, and J. S. Surabaya, "Sistem Presensi Perkuliahan pada Universitas Kristen Petra Berbais RFID Dan Arduino," pp. 3-7.
A. T. I. Mazumdar, S. Islam, C. L. Thong, and K. H. Keoy, "NFC-based Mobile Application for Student Attendance in Institution of Higher Learning," in 2022 1st International Conference on AI in Cybersecurity (ICAIC), 2022, pp. 1-5, doi: 10.1109/ICAIC53980.2022.9896975.