Plaboratory Asset Localization System through RFID Sensor Using Kalman Filter Algorithm

Siti Aminah, Gungun Maulana, Mohamad Suyud

2022

Abstract

Loss of assets that often occurs in the Manufacturing Automation and Mechatronics Engineering laboratory environment at the Bandung Manufacturing Polytechnic. Where assets that should exist in certain laboratories do not exist when learning activities will be carried out. This proposed research aims to create a laboratory asset tracking system through UHF RFID using the Kalman filter algorithm, track the last location of laboratory assets that have an RFID tag and have been registered in the system, limit the search area for laboratory assets that have an RFID tag and have been registered in the system, improve laboratory asset management system. By utilizing scanning technology using UHF RFID and creating a laboratory asset tracking application. Where in its application the RSSI value output from unstable RFID will be estimated by estimating a value based on known data using the Kalman filter calculation method. From the estimation results, a classification system will be made based on 3 groups of areas that have been determined and the estimation of the unstable RSSI value has been successfully carried out. The test results in detecting the detected object area have an error percentage of 13.3%, but from these results there is a drawback where when there is a transfer of assets during the detection period there will be a delay in adjusting the value to its steadystate for approximately 25-30 seconds.

Paper Citation

in Harvard Style

Aminah S., Maulana G. and Suyud M. (2022). Plaboratory Asset Localization System through RFID Sensor Using Kalman Filter Algorithm. In Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES; ISBN 978-989-758-619-4, SciTePress, pages 31-36. DOI: 10.5220/0011710800003575

in Bibtex Style

@conference{icast-es22,
author={Siti Aminah and Gungun Maulana and Mohamad Suyud},
title={Plaboratory Asset Localization System through RFID Sensor Using Kalman Filter Algorithm},
booktitle={Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES},
year={2022},
pages={31-36},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011710800003575},
isbn={978-989-758-619-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES
TI - Plaboratory Asset Localization System through RFID Sensor Using Kalman Filter Algorithm
SN - 978-989-758-619-4
AU - Aminah S.
AU - Maulana G.
AU - Suyud M.
PY - 2022
SP - 31
EP - 36
DO - 10.5220/0011710800003575
PB - SciTePress