Design and Implementation Proximity Based IoT for Smart Attendance System
Article Sidebar
Read Counter : 409
Download : 373
Main Article Content
Abstract
The reporting of course attendance is an essential component of academic administration. This research designs and deploys a smart attendance system by leveraging proximity-based IoT. The smart attendance system is built upon the Android operating system to detect the beacon of the proximity sensor and is integrated into a database installed on a cloud server. The application supports three different features designated for administrators, lecturers, and students, respectively. The developed application accelerates data input for the campus administrator, records the course log efficiently, and concurrently reports the more secure student attendance from manipulation since it applies a single user identity. This study conducts a field test to evaluate the operational efficacy of the system by sampling students who enrolled in the course. The test involves utilizing a range of mobile devices to access the application connected to two courses. In one course, the functionality testing result is 91.67%, while in another, it is 100% successful. The limitation arises as a result of the incapability of the mobile device to perceive the beacon.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Copyright on any article is retained by the author(s).
- Author grant the journal, right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work’s authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
- The article and any associated published material is distributed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
References
Abdulkareem, A. (2018). The Design, Development and Evaluation of A Smart Attendance Tracking System Using Bluetooth Low Energy Beacons A Thesis Submitted To The Graduate School Of Natural And Applied Sciences Of Çankaya University.
Eyro Digital Teknologi. (2016a). Cubeacon Card. https://cubeacon.com/docs/Cubeacon-Card-Datasheet-V_0.3.pdf,
Eyro Digital Teknologi. (2016b). User Guide Cubeacon Tools Mobile Android App.
Hake, A., Samanta, A., Kasambe, P., & Sutar, R. (2022). Automatic Attendance Marker Using Beacon technology. 2022 IEEE Region 10 Symposium, TENSYMP 2022. https://doi.org/10.1109/TENSYMP54529.2022.9864555
Hayati, N., Ramli, K., Suryanegara, M., & Salman, M. (2021). An Internet of Things (IoT) Reference Model for an Infectious Disease Active Digital Surveillance System. International Journal of Advanced Computer Science and Applications, 12(9). doi:10.14569/IJACSA.2021.0120956
Hayati, N., & Suryanegara, M. (2017). The IoT LoRa system design for tracking and monitoring patient with mental disorder. 2017 IEEE International Conference on Communication, Networks and Satellite (Comnetsat), 135–139. doi:10.1109/COMNETSAT.2017.8263587
Menon, S., George, A., Mathew, N., Vivek, V., & John, J. (2017). Smart workplace — Using iBeacon. 2017 International Conference on Networks & Advances in Computational Technologies (NetACT), 396–400. doi:10.1109/NETACT.2017.8076803
Okamoto, T., Sasaki, Y., & Suzuki, S. (2017). Targeted advertising using BLE beacon. 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE), 1–5. doi:10.1109/GCCE.2017.8229404
Nugraha, A. T., Wibowo, R., Suryanegara, M., & Hayati, N. (2018). An IoT-LoRa System for Tracking a Patient with a Mental Disorder: Correlation between Battery Capacity and Speed of Movement. 2018 7th International Conference on Computer and Communication Engineering (ICCCE), 198–201. doi:10.1109/ICCCE.2018.8539316
Jeon, K. E., She, J., Soonsawad, P., & Ng, P. C. (2018). BLE Beacons for Internet of Things Applications: Survey, Challenges, and Opportunities. In IEEE Internet of Things Journal (Vol. 5, Issue 2, pp. 811–828). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/JIOT.2017.2788449
Kim, M., Lee, J., & Paek, J. (2018). Neutralizing BLE Beacon-based electronic attendance system using signal imitation attack. IEEE Access, 6, 77921–77930. https://doi.org/10.1109/ACCESS.2018.2884488
Miao, Q., Xiao, F., Huang, H., Sun, L., & Wang, R. (n.d.). Smart Attendance System Based on Frequency Distribution Algorithm with Passive RFID Tags. http://creativecommons.org/licenses/by/4.0/
Shah, S. N., & Abuzneid, A. (2019). IoT Based Smart Attendance System (SAS) Using RFID. 2019 IEEE Long Island Systems, Applications and Technology Conference (LISAT), 1–6. doi:10.1109/LISAT.2019.8817339
Noguchi, S., Niibori, M., Zhou, E., & Kamada, M. (2015). Student attendance management system with bluetooth low energy beacon and android devices. Proceedings - 2015 18th International Conference on Network-Based Information Systems, NBiS 2015, 710–713. https://doi.org/10.1109/NBiS.2015.109
Rahmawati, P., Hikmaturokhman, A., Ni’amah, K., & Nashiruddin, M. I. (2022). LoRaWAN Network Planning at Frequency 920-923 MHz for Electric Smart Meter: Study Case in Indonesia Industrial Estate. Journal of Communications, 17(3), 222–229. https://doi.org/10.12720/jcm.17.3.222-229
Ramani, G., Pradeepkumar, G., Palanisamy, P. N., Ashika Preethi, S., Sekhar, V., & Kumar, N. S. (2023). Smart Attendance Monitoring System Using IoT. 2023 9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023, 1099–1104. https://doi.org/10.1109/ICACCS57279.2023.10112850
Kumar, B. G. A., Bhagyalakshmi, K. C., Lavanya, K., & Gowranga, K. H. (2016). A Bluetooth low energy based beacon system for smart short range surveillance. 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 1181–1184. doi:10.1109/RTEICT.2016.7808018
Teran, M., Aranda, J., Carrillo, H., Mendez, D., & Parra, C. (2017, October 26). IoT-based system for indoor location using bluetooth low energy. 2017 IEEE Colombian Conference on Communications and Computing, COLCOM 2017 - Proceedings. https://doi.org/10.1109/ColComCon.2017.8088211
Zori, B., Dudjak, M., Bajer, D., Martinovi, G., & Juraj Strossmayer, J. (n.d.). Design and development of a smart attendance management system with Bluetooth low energy beacons.