Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)

Implementation K-Nearest Neighbor Algorithm in Searching Location Books in Library Statically Based on RFID

Authors
Ahmad Fali OKLILAS, Fajri Aulia RACHMAT, Purwita SARI
Corresponding Author
Ahmad Fali OKLILAS
Available Online 6 May 2020.
DOI
10.2991/aisr.k.200424.045How to use a DOI?
Keywords
identification, K-Nearest Neighbor (KNN) algorithm, RFID
Abstract

Radio Frequency Identification (RFID) is a technology for determining an object using electromagnetic waves (radio waves) through a device called a tag. This identification is carried out using a reader, tag, and antenna. To maximize the performance of RFID technology in a room with a room scale that is not too large, the K Nearest Neighbor (KNN) algorithm is used to calculate the error value generated from the reader and antenna that measures tags and is applied in an automatic counting program designed using the Python programming language. After testing and experimenting on target tags using each of the 4 reference tags, the test and experiment results do not differ greatly from the actual coordinates of the detected tags for target tag A with a percentage error coordinate value of (x = 6.3%), (y = 3%), and (z = 0.01%). The target Tag A error values of 4 reference tags are (x = 6.3 cm), (y = 1.05 cm), and (z = 0.4cm). Meanwhile, the coordinate error values (xe, ye, ze) for target B Tag with the percentage error coordinate values of (x = 3%), (y = 4%), and (z = 0%). The target Tag B error values of 4 reference tags are (x = 3.3 cm), (y = 2.8cm), and (z = 0 cm).

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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Volume Title
Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)
Series
Advances in Intelligent Systems Research
Publication Date
6 May 2020
ISBN
978-94-6252-963-2
ISSN
1951-6851
DOI
10.2991/aisr.k.200424.045How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Ahmad Fali OKLILAS
AU  - Fajri Aulia RACHMAT
AU  - Purwita SARI
PY  - 2020
DA  - 2020/05/06
TI  - Implementation K-Nearest Neighbor Algorithm in Searching Location Books in Library Statically Based on RFID
BT  - Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)
PB  - Atlantis Press
SP  - 300
EP  - 305
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.200424.045
DO  - 10.2991/aisr.k.200424.045
ID  - OKLILAS2020
ER  -