SISTEM PENENTUAN LOKASI RFID TAG DI AREA PARKIR DENGAN MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR

RAHMADIANY PUTERI, ELVATYARA and Oklilas, Ahmad Fali (2019) SISTEM PENENTUAN LOKASI RFID TAG DI AREA PARKIR DENGAN MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR. Undergraduate thesis, Sriwijaya University.

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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: Thesis (Undergraduate)
Uncontrolled Keywords: Radio Frequency Identification (RFID), K-NN, RFID Tag
Subjects: Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76.9.E94 Computer system performance. Computer Communication Networks. Computer science. Logic design. Operating systems (Computers).
Divisions: Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User: Elvatyara Rahmadiany Puteri
Date Deposited: 23 Sep 2019 06:14
Last Modified: 23 Sep 2019 06:14
URI: http://repository.unsri.ac.id/id/eprint/8557

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