RFID Tag Location Determination System in the Parking Area Using K-Nearest Neighbor Algorithm

DOI

10.2991/aisr.k.200424.038How to use a DOI?

Keywords

Radio Frequency Identification (RFID), K-NN, RFID tag

Abstract

This research was conducted to determine the position of the target tag placed in a predetermined position in a parking area. The method applied in this location determination system is the K-Nearest Neighbor algorithm method. There are two scenarios in this research, that are where the target tag is placed at two predetermined coordinate positions. This test uses 15 reference tags that are placed around two target tags with predetermined coordinate positions. So, after 10 tests, the prediction coordinates will be obtained in each data collection, which can then be used to find the average error rate of the two scenarios so that the scenario can be obtained which is more effective to be used in this research. From the two scenarios used, it is known that the error value of the first scenario is 7,0474 cm, while the error value of the second scenario is 7,6773 cm. From the results of the errors in the two scenarios of this experiment, it is known that the first scenario is much better used when taking the initial data or searching for the RSSI data, so that the results obtained are even better. In addition to manual calculations, calculations using programs with the Python programming language can also be done in order to produce more accurate predictive coordinates and error values.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ahmad Fali OKLILAS
AU  - Elvatyara Rahmadiany PUTERI
AU  - SAMSURYADI
PY  - 2020
DA  - 2020/05/06
TI  - RFID Tag Location Determination System in the Parking Area Using K-Nearest Neighbor Algorithm
BT  - Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)
PB  - Atlantis Press
SP  - 257
EP  - 262
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.200424.038
DO  - 10.2991/aisr.k.200424.038
ID  - OKLILAS2020
ER  -