DOI: https://doi.org/10.14710/jtsiskom.7.2.2019.64-70

Sistem Cerdas Penentuan Lokasi Parkir pada Area Kampus Menggunakan Fuzzy Logic Berbasis Internet of Things

Intelligent System for Determining Parking Locations in Campus Areas Using Fuzzy Logic Based on Internet of Things

1Department of Computer Engineering, Universitas Andalas, Indonesia

2Department of Mathematics, Universitas Andalas, Indonesia

Received: 21 Nov 2019; Revised: 23 Apr 2019; Accepted: 29 Apr 2019; Available online: 16 Jul 2019; Published: 30 Apr 2019.
Open Access Copyright (c) 2019 Jurnal Teknologi dan Sistem Komputer
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Citation Format:
Abstract
The increasing use of vehicles at campus locations makes it more difficult to find an empty parking lot. This paper develops a system for determining parking locations on campus areas using cloud-based fuzzy logic and Internet of Things (IoT). NFC is used to confirm the order code of the location that has been generated by the system. At the parking location, a sensor is installed to detect parking availability. The concept of IoT has been applied to build this system. Applications on smartphone devices are used for reservations at desired parking locations via the internet. The results show that the system has been able to detect the location of empty parking lots and make reservations in the Andalas University campus environment. The application of fuzzy logic has succeeded in obtaining parking location sequences based on distance and total capacity to find the best parking location.
Fulltext View|Download Email colleagues
Keywords: smart parking; NFC; smart campus; IoT; fuzzy logic
Funding: Universitas Andalas, Program Penelitan Dosen Pemula Tahun 2018, Nomor 18/UN.16.17/ PP.RDP/LPPM/2018

Article Metrics:

Article Info
Section: Original Research Articles
Language : ID
Related articles
Intelligent Robot for Measuring Consumer Satisfaction at Shopping Center Face recognition system with PCA-GA algorithm for smart home door security using Rasberry Pi Micro climate monitoring system in closed broiler cages based on the internet of things Pandemic dynamics prediction in Java using the Moving Average and the Knowledge Growing System methods More related articles
Most cited articles
Pengembangan Permainan Edukatif Ragam Budaya Nusantara Berbasis Android Prediction of Call Drops in GSM Network using Artificial Neural Network Location Based Service Panduan Pencarian Rumah Sakit dengan Platform Android di Kota Semarang Rancang Bangun Sistem Informasi Kampus Hijau Berbasis Web Pada JSN (Jaringan Sensor Nirkabel) Landfill Gas Monitoring System Based on Internet of Things More cited articles
  1. S. Allwinkle and P. Cruickshank, “Creating Smart-er Cities : An Overview,” Journal of Urban Technology, vol. 18, no. 2, pp. 37–41, 2011
  2. C. Harrison, B. Eckman, R. Hamilton, and P. Hartswick, “Foundations for Smarter Cities,” IBM Journal of Research and Development, vol. 54, no. 4, pp. 1-16, 2010
  3. M. Rehman and M. A. Shah, “A Smart Parking System to Minimize Searching Time, Fuel Consumption and CO2 Emission,” in 23rd International Conference on Automation & Computing, Huddersfield, UK, Sept. 2017, pp. 1-6
  4. D. Ichwana and W. Syahputra, “Sistem Pembayaran Parkir Menggunakan Near Field Communication Berbasis Android dan Teknologi Internet of Things,” TEKNOSI, vol. 03, no. 01, pp. 153-164, 2017
  5. Universitas Andalas, Informasi Salingka Unand. Padang: Unand Publisher, 2010
  6. -, “Sejarah Ringkas Universitas Andalas,” Universitas Andalas. [Online]. Available: http://www.unand.ac.id/id/tentang-unand/selayang-pandang/sejarah
  7. Peraturan Pemerintah Pedoman Teknis Penyelenggaraan Fasilitas Parkir, Dirjen Perhubungan Darat, 272/HK.105/DRJD/96
  8. D. Ichwana, R. Aisuwarya, S. Ardopa, and I. Purnama, “Sistem Cerdas Reservasi dan Pemantauan Parkir pada Lokasi Kampus Berbasis Konsep Internet of Things,” Jurnal Teknologi dan Sistem Komputer, vol. 6, no. 2, p. 57, 2018
  9. A. R. Malaiya, N. Kumar, A. Kansagara, and A. Kadam, “Smart Parking System Based on Cloud Computing using Android and IoT,” International Journal of Innovative Science and Research Technology, vol. 3, no. 3, pp. 233-235, 2018
  10. U. Jadhav, K. Kahandal, Y. Gaikwad, and B. Kadam, “APPARKING : Smart Parking System based on Cloud Computing using Android and IoT,” International Journal of Emerging Technology and Advanced Engineering, vol. 6, no. 9, pp. 51-55, 2016
  11. M. Patil and R. Sakore, “Smart Parking System Based On Reservation,” International Journal of Scientific Engineering and Research, vol. 2, no. 6, pp. 21-26, 2014
  12. P. Dhar and P. Gupta, “Intelligent Parking Cloud Services based on IoT using MQTT Protocol,” in 2016 International Conference on Automatic Control and Dynamic Optimization Techniques (ICADOT), Pune, India, Sept. 2016, pp. 30-34
  13. A. Z. A. Firdaus, A. W. Shinn, M. S. M. Hashim, N. S. Khalid, I. I. Ismail, and M. J. M. Ridzuan, “Design and Simulation of Fuzzy Logic Controlled Car Parking Assist System,” Journal of Telecommunication, Electronic and Computer Engineering, vol. 10, no. 1, pp. 81-87, 2016
  14. A. Golnarkar, A. A. Aleshesik, M. R. Malek, “Solving Best Path Problem On Multimodal Transportation Network with Fuzzy Costs,” Iranian Journal of Fuzzy Systems, vol. 7, no. 3, pp. 1-13, 2010
  15. M. Karthi and P. Harris, “Smart Parking with Reservation in Cloud Based Environment,” in 2016 IEEE International Conference on Cloud Computing in Emerging Markets, Bangalore, India, Oct. 2016, pp. 168-171
  16. T. N. Pham, M. F. Tsai, D. B. Nguyen, C. R. Dow, and D. J. Deng, “A Cloud-Based Smart-Parking System Based on Internet-of-Things Technologies,” IEEE Access, vol. 3, pp. 1581–1591, 2015

Last update:

No citation recorded.

Last update: 2024-11-21 10:23:41

No citation recorded.