Proceedings of the Adisutjipto Aerospace, Science and Engineering International Conference (AASEIC 2024)

Smart Parking System Based on IoT Integrated with Android Application

Authors
Uke Kurniawan Usman1, *, Hieronimus Mao Putra Koban1, Muhammad Syafiq Abraar Siregar1, Oryza Sativa1, Sri Astuti1
1Faculty of Electrical Engineering, Telkom University, Jl. Telekomunikasi, Terusan Buah Batu, Bandung, 40257, Indonesia
*Corresponding author. Email: ukeusman@telkomuniversity.ac.id
Corresponding Author
Uke Kurniawan Usman
Available Online 31 March 2025.
DOI
10.2991/978-94-6463-668-0_19How to use a DOI?
Keywords
Basement parking; Smart parking system; Internet of Things (IoT); Mobile appliction; Efficient
Abstract

The University Landmark Tower basement parking lot is an important facility for professors and employees. At present, however, parking management presents a challenge as to the efficiency and availability of quickly accessible parking spots. To address the problem, we propose an innovative IoT (Internet of Things) solution. It aims to integrate sensor technology, ESP32 devices, and mobile applications to create sophisticated smart parking systems. In this system, each parking lot will be equipped with real-time parking sensors. The sensor will detect the presence of a vehicle and transmit information about available space to the ESP32 device, which will then transmit that data to the server via the Wi-Fi network.

The server will manage and store the status data of the parking lot, including information about availability, the duration of parking time, and the time it takes to detect and process data. This data is then accessible to the user through mobile applications that provide real-time information about parking Spaces available in the user preferred areas. With more effective and real-time parking management, professors and employees can save time in search of parking. System performance will be analyzed based on parameters such as delay in detection and the response speed of mobile applications.

In the testing process conducted when the prototype was fully implemented, the results showed that the sensor could detect vehicles within a range of 2 to 13 cm with an accuracy rate of 95.04% and classify them into several vehicle categories. Additionally, the throughput obtained after testing was 142 bps, which falls into the medium category. The delay testing yielded a value of 38,665 ms, packet loss testing resulted in 0%, and signal strength measurement was -49 dBm, all of which are categorized as excellent.In addition, the potential for further development such as navigation systems or parking lots expansion will also be evaluated. We hope it will accelerate the digital transformation of Telkom University landmark tower, overcome conventional parking constraints, and create a more efficient and comfortable environment. The system not only provides practical solutions to parking problems but also demonstrates university’s telkom commitment to adopting the latest technology to increase comfort and efficiency in colleges. With successful implementation, the system has the potential to model for other institutions in modern and effective parking management.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Adisutjipto Aerospace, Science and Engineering International Conference (AASEIC 2024)
Series
Advances in Engineering Research
Publication Date
31 March 2025
ISBN
978-94-6463-668-0
ISSN
2352-5401
DOI
10.2991/978-94-6463-668-0_19How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Uke Kurniawan Usman
AU  - Hieronimus Mao Putra Koban
AU  - Muhammad Syafiq Abraar Siregar
AU  - Oryza Sativa
AU  - Sri Astuti
PY  - 2025
DA  - 2025/03/31
TI  - Smart Parking System Based on IoT Integrated with Android Application
BT  - Proceedings of the Adisutjipto Aerospace, Science and Engineering International Conference (AASEIC 2024)
PB  - Atlantis Press
SP  - 158
EP  - 166
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-668-0_19
DO  - 10.2991/978-94-6463-668-0_19
ID  - Usman2025
ER  -