DETEKSI KEPADATAN LALU LINTAS MENGGUNAKAN RFID (RADIO FREQUENCY IDENTIFICATION) DENGAN METODE SUPPORT VECTOR REGRESSION

FITRIANI, RIKA and Oklilas, Ahmad Fali (2022) DETEKSI KEPADATAN LALU LINTAS MENGGUNAKAN RFID (RADIO FREQUENCY IDENTIFICATION) DENGAN METODE SUPPORT VECTOR REGRESSION. Undergraduate thesis, Sriwijaya University.

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Abstract

Various kinds of positioning technologies have been used in everyday life. Thetechnology in the service usage system is based on tracking the position of objects or humans, namely Google Maps. RFID is often used in positioning systems because the cost is quite cheap, the time is quite long and the power used is very low. Conditions of congestion or traffic cessation, the cause of which is the large number of vehicles that exceed the capacity of the road, which is called traffic density. RFID is capable of providing vehicle position tracking features in traffic. In this study, we propose the Support Vector Regression method to predict the position of the coordinates on the tag and the Kalman filter as preprocessing to reduce signal data fluctuations. Predicted positional accuracy deviation in the first line is 14.09358315% and the average accuracy deviation in the second line is 10.75131272%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Lalu Lintas, RFID, Support Vector Regression, Kalman Filter
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Rika Fitriani
Date Deposited:	09 Jan 2023 06:49
Last Modified:	09 Jan 2023 06:49
URI:	http://repository.unsri.ac.id/id/eprint/85558

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