Peningkatan Efisiensi dan Keamanan parkir kendaraan dengan Integrasi KTM berbasis IoT

Authors

  • Fathur Andre Fadilah Universitas Esa Unggul
  • Binastya Anggara Sekti Universitas Esa Unggul

Keywords:

IoT Technology, RFID, Parking Management, Parking System, Automatic Access

Abstract

The research carried out includes analysis of the manual parking system previously used on campus and evaluation of the implementation of an IoT-based parking system with KTM integration. This research aims to solve problems caused by manual systems such as long queues, inaccurate recording and high security risks. By integrating IoT technology, this system is expected to increase work efficiency and parking safety. The research method used is a qualitative approach where information is collected through in-depth interviews, field observations and document analysis. Interviews were conducted with students, administrative staff and parking attendants. Field observations observe directly how this system is implemented and functions in field conditions. Document analysis is used to complement the information obtained from interviews and observations. The data collected shows that the IoT-based parking system with KTM integration significantly reduces the time needed to search for a parking space and speeds up entry and exit from the parking space. Users, including students, administrative staff, and parking attendants, are very positive about the system. They believe this system will facilitate access and increase the efficiency and safety of campus parking. The research results show that the IoT-based parking system with KTM integration has succeeded in increasing operational efficiency and parking safety at Esa Unggul University. The conclusion of this research is that the implementation of an IoT-based parking system integrated with KTM at Esa Unggul University has had a significant positive impact on parking efficiency and safety. The study also identified opportunities for further development, such as integration with digital payment systems and analysis of parking data to improve capacity planning.

References

D. Canavese, L. Mannella, L. Regano, and C. Basile, “Security at the Edge for Resource-Limited IoT Devices,” Sensors, vol. 24, no. 2, pp. 1–17, 2024, doi: 10.3390/s24020590.

O. S. Dosumu and S. M. Uwayo, “Modelling the adoption of Internet of things (IoT) for sustainable construction in a developing economy,” Built Environ. Proj. Asset Manag., vol. 13, no. 3, pp. 394–411, 2023, doi: 10.1108/BEPAM-08-2022-0123.

S. T. Mekatronika, P. Citra, and R. Pi, “Vol 5, 2023,” vol. 5, pp. 1–18, 2023.

A. Dawod, D. Georgakopoulos, P. P. Jayaraman, and A. Nirmalathas, “A Survey of Techniques for Discovering, Using, and Paying for Third-Party IoT Sensors,” Sensors, vol. 24, no. 8, p. 2539, 2024.

F. Zeng, C. Pang, and H. Tang, “Sensors on Internet of Things Systems for the Sustainable Development of Smart Cities: A Systematic Literature Review,” Sensors, vol. 24, no. 7, 2024, doi: 10.3390/s24072074.

A. Tripathi and M. Kushwaha, “A model for evaluating the impediments to secure and trustworthy IoT environment: a software industry study,” Manag. Environ. Qual. An Int. J., vol. 34, no. 3, pp. 589–604, 2023, doi: 10.1108/MEQ-07-2022-0195.

E. Eslami, N. Razi, M. Lonbani, and J. Rezazadeh, “Unveiling IoT Customer Behaviour: Segmentation and Insights for Enhanced IoT-CRM Strategies: A Real Case Study,” Sensors, vol. 24, no. 4, 2024, doi: 10.3390/s24041050.

Y. Ali, H. U. Khan, and M. Khalid, “Engineering the advances of the artificial neural networks (ANNs) for the security requirements of Internet of Things: a systematic review,” J. Big Data, vol. 10, no. 1, 2023, doi: 10.1186/s40537-023-00805-5.

F. Arat and S. Akleylek, “Modified graph-based algorithm to analyze security threats in IoT,” PeerJ Comput. Sci., vol. 9, pp. 1–29, 2023, doi: 10.7717/PEERJ-CS.1743.

A. F. Gentile, D. Macrì, D. L. Carnì, E. Greco, and F. Lamonaca, “A Performance Analysis of Security Protocols for Distributed Measurement Systems based on Internet of Things with Constrained Hardware and Open Source Infrastructures,” pp. 1–19, 2024.

D. Mohamed and O. Ismael, “Enhancement of an IoT hybrid intrusion detection system based on fog-to-cloud computing,” J. Cloud Comput., vol. 12, no. 1, 2023, doi: 10.1186/s13677-023-00420-y.

Z. Liu, Y. Yuan, B. Zhao, and Y. Wang, “Internet of things security evaluation mechanism based on meta attribute fluctuation,” PLoS One, vol. 18, no. 7 July, pp. 1–15, 2023, doi: 10.1371/journal.pone.0282630.

S. Iqbal, N. F. Alshammari, M. Shouran, and J. Massoud, “Smart and Sustainable Wireless Electric Vehicle Charging Strategy with Renewable Energy and Internet of Things Integration,” Sustain. , vol. 16, no. 6, 2024, doi: 10.3390/su16062487.

S. Asodekar, S. Shinde, N. Dubey, N. Mumbai, N. Mumbai, and I. Introduction, “Parking Management System - ( A GUI Based Interface ),” vol. 8, no. 4, pp. 87–91, 2024.

A. G. Jaafar, S. A. Ismail, A. Habir, K. A. Z. Ariffin, and O. M. Yusop, “A Raise of Security Concern in IoT Devices: Measuring IoT Security Through Penetration Testing Framework,” Int. J. Adv. Comput. Sci. Appl., vol. 15, no. 5, pp. 676–691, 2024, doi: 10.14569/ijacsa.2024.0150568.

Achmad Solechan, Jarot Dian Susatyono, Toni Wijanarko AP., and Febryantahanuji Febryantahanuji, “PELUANG BISNIS PADA PENERAPAN INDUSTRIAL INTERNET OF THING (IIoT),” J. Publ. Ilmu Komput. dan Multimed., vol. 1, no. 3, pp. 259–268, 2022, doi: 10.55606/jupikom.v1i3.784.

H. M. Rai, Atik-Ur-Rehman, A. Pal, S. Mishra, and K. K. Shukla, “Use of Internet of Things in the context of execution of smart city applications: a review,” Discov. Internet Things, vol. 3, no. 1, 2023, doi: 10.1007/s43926-023-00037-2.

M. Saad, S. A. Haidery, A. Bhandari, M. R. Bhutta, D. J. Park, and T. S. Chung, “An Efficient Privacy and Anonymity Setup on Hyperledger Fabric for Blockchain-Enabled Internet of Things (IoT) Devices,” Electron., vol. 13, no. 13, 2024, doi: 10.3390/electronics13132652.

M. A. K. Raiaan, N. M. Fahad, S. Chowdhury, D. Sutradhar, S. S. Mihad, and M. M. Islam, “IoT-Based Object-Detection System to Safeguard Endangered Animals and Bolster Agricultural Farm Security,” Futur. Internet, vol. 15, no. 12, 2023, doi: 10.3390/fi15120372.

N. Monios, N. Peladarinos, V. Cheimaras, P. Papageorgas, and D. D. Piromalis, “A Thorough Review and Comparison of Commercial and Open-Source IoT Platforms for Smart City Applications,” Electron., vol. 13, no. 8, 2024, doi: 10.3390/electronics13081465.

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Published

2024-10-23

How to Cite

Fathur Andre Fadilah, & Binastya Anggara Sekti. (2024). Peningkatan Efisiensi dan Keamanan parkir kendaraan dengan Integrasi KTM berbasis IoT. Prosiding SISFOTEK, 8(1), 173 - 178. Retrieved from http://seminar.iaii.or.id/index.php/SISFOTEK/article/view/478

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Section

Sistem Informasi dan Teknologi