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

Samsuryadi, Samsuryadi and Ahmad Fali, Oklilas (2019) RFID Tag Location Determination System in the Parking Area Using K-Nearest Neighbor Algorithm. Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019).

[thumbnail of Artikel] Text (Artikel)
PROSIDING - RFID Tag Location Determination System.pdf - Published Version

Download (268kB)

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.

Item Type: Article
Subjects: Q Science > Q Science (General) > Q1-295 General
Divisions: 09-Faculty of Computer Science > 55101-Informatics (S2)
Depositing User: Dr. Syamsuryadi Sahmin
Date Deposited: 18 Apr 2023 12:57
Last Modified: 18 Apr 2023 12:57
URI: http://repository.unsri.ac.id/id/eprint/97017

Actions (login required)

View Item View Item