Rancang Bangun Sistem Pencarian Posisi Kendaraan di Area Parkir Menggunakan Teknologi Bluetooth
Large parking area and no sign, will make it difficult for vehicle owners to remember and find the location of the parked. Therefore, a guide system becomes one of the important things in a large parking area. The technology that can be utilized in navigation systems is bluetooth technology, which has now called BLE (Bluetooth Low Energy) with a signal reach of 100 meters, data transfer speeds 1 Mbps and low power consumption. The information from a BLE module is the value of RSSI (Received Signal Strength Indicator) which shows the signal strength received. The guide system installed on a smartphone as a receiver and BLE module as a transmitter on the vehicle. The mobile application will convert the RSSI into the distance between smartphone and vehicle, and will be displayed a guide to the vehicle. Based on the trials that have been carried out obtained an average distance error of 0.92 meters, this is due to the ups and downs of the RSSI value received. When the RSSI value received is small, it raises of accuracy. So the distance between BLE and receiver will affect the RSSI value received and affect the position accuracy of the application.
R. Xu, W. Chen, Y. Xu, and S. Ji, “A New Indoor Positioning System Architecture Using GPS Signals,” Sensors, vol. 15, no. 5, pp. 10074–10087, 2015.
M. Zaafir Barahim, M. Razvi Doomun, and N. Joomun, “Low-Cost Bluetooth Mobile Positioning for Location-based Application,” 2007 3rd IEEE/IFIP Int. Conf. Cent. Asia Internet, pp. 1–4, 2007.
M. A. Al-Ammar, S. Alhadhrami, A. Al-Salman, A. Alarifi, H. S. Al-Khalifa, A. Alnafessah, and M. Alsaleh, “Comparative Survey of Indoor Positioning Technologies, Techniques, and Algorithms,” in 2014 International Conference on Cyberworlds (CW), 2014, pp. 245–252.
R. Faragher and R. Harle, “Location fingerprinting with bluetooth low energy beacons,” IEEE J. Sel. Areas Commun., vol. 33, no. 11, pp. 2418–2428, 2015.
A. S. Indrayana, R. Primananda, and K. Amron, “Rancang Bangun Sistem Komunikasi Bluetooth Low Energy ( BLE ) Pada Sistem Pengamatan Tekanan Darah,” vol. 2, no. 8, pp. 2462–2472, 2018.
M. Köhne and J. Sieck, “Location-based Services with iBeacon Technology,” pp. 315–321, 2014.
W. Bronzi, R. Frank, G. Castignani, and T. Engel, “Bluetooth Low Energy for Inter-Vehicular Communications,” pp. 215–221, 2014.
G. Shan, S. Im, and B. Roh, “Optimal AdvInterval for BLE Scanning in Different Number of BLE Devices Environment,” pp. 0–1, 2016.
Y. Wang, X. Yang, Y. Zhao, Y. Liu, and L. Cuthbert, “Bluetooth positioning using RSSI and triangulation methods,” 2013 IEEE 10th Consum. Commun. Netw. Conf. CCNC 2013, pp. 837–842, 2013.
T. I. Chowdhury, M. M. Rahman, S. Parvez, A. K. M. M. Alam, A. Basher, and A. Alam, “A Multi-step Approach for RSSI-Based Distance Estimation Using Smartphones,” pp. 1–5, 2015.
S. G. Ndzukula, T. D. Ramotsoela, B. J. Silva, and G. P. Hancke, “A Bluetooth Low Energy based system for personnel tracking,” pp. 8435–8440, 2017.
Copyright (c) 2020 Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
This work is licensed under a Creative Commons Attribution 4.0 International License.
Hak cipta pada setiap artikel adalah milik penulis.
- Penulis mengakui bahwa Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) sebagai publisher yang mempublikasikan pertama kali dengan lisensi Creative Commons Attribution 4.0 International License.
- Penulis dapat memasukan tulisan secara terpisah, mengatur distribusi non-ekskulif dari naskah yang telah terbit di jurnal ini kedalam versi yang lain (misal: dikirim ke respository institusi penulis, publikasi kedalam buku, dll), dengan mengakui bahwa naskah telah terbit pertama kali pada Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) ;