IMPLEMENTATION of K-NEAREST NEIGHBOR ALGORITHM (KNN) IN SEARCHING FOR LOCATION OF BOOKS IN LIBRARY STATICALLY BASED ON RFID

RACHMAT, FAJRI AULIA and Oklilas, Ahmad Fali (2019) IMPLEMENTATION of K-NEAREST NEIGHBOR ALGORITHM (KNN) IN SEARCHING FOR LOCATION OF BOOKS IN LIBRARY STATICALLY BASED ON RFID. Undergraduate thesis, Sriwijaya University.

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Abstract

Radio Frequency Identification (RFID) is a technology for identifying an object using electromagnetic waves (radio) through a device called a tag. Identification is using reader, tag, and antenna. To get a maximum performance of RFID technology in a room with not so large scale, The K Nearest Neighbor (KNN) algorithm is used to calculate the error value obtained from the reader and antenna that identifies the Tag. The algorithm is applied in an automatic calculation program designed using the Python programming language, using Jetbrains Pycharm software. After doing the test and experiment for the target tags, using each of the 4 reference tags, the test results and experiments do not differ greatly from the actual coordinates of the Tag detected, for the target A tag with the percentage value of the error coordinates of (x = 6.3%), (y = 3%), and (z = 0.01%). Error value The target tag A of 4 reference tags is (x = 6.3 cm), (y = 1.05 cm), and (z = 0.4cm). Meanwhile, the coordinate error value against the axis (xe, ye, ze) for target B tags with a percentage value of coordinate error of (x = 3%), (y = 4%), and (z = 0%). Error value The target tag B of 4 reference tags is (x = 3.3 cm), (y = 2.8cm), and (z = 0 cm).

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Identification, K Nearest Neighbor (KNN) Algorithm, RFID.
Subjects:	T Technology > T Technology (General) > T175-178 Industrial research. Research and development T Technology > T Technology (General) > T57.6-57.97 Operations research. Systems analysis T Technology > T Technology (General) > T60-60.8 Work measurement. Methods engineering Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Users 189 not found.
Date Deposited:	25 Jul 2019 07:55
Last Modified:	19 Aug 2019 03:59
URI:	http://repository.unsri.ac.id/id/eprint/753

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