PENERAPAN METODE LANDMARC DENGAN ALGORITMA K-NN ADAPTIF TERHADAP PROGRAM PENENTU JARAK PADA SISTEM RFID UHF

AHMAD, FITHRI HALIM and Oklilas, Ahmad Fali (2018) PENERAPAN METODE LANDMARC DENGAN ALGORITMA K-NN ADAPTIF TERHADAP PROGRAM PENENTU JARAK PADA SISTEM RFID UHF. Undergraduate thesis, Sriwijaya University.

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Abstract

This research was conducted to find the distance prediction between reader and tag using distance determinant program that called “distance program” which applied LANDMARC method with adaptive k-NN algorithm. This method works by assigining a weighted value to k-NN algorithm between all reference tags and tested tag with k determined by key reference tag. The test was performed on 4 tag tested, with a distance of 1.4 meters, 1.9 meters, 2.8 meters, and 3.35 meters respectively. Data retrieval is done 5 times on each test tag. There are 2 test scenarios that are applied, first is when there is no object around the tag and second is when there are object around the tag. Last test is to calculate the difference of error percentage from test result from both scenarious. The test result showed that the test when there is no object around tags can produce result with largest average error percentage of 2.470%, while another scenarios when there are object around the tags can produce result with largest average error percentage of 7.430%. Last test result showed the average difference of error percentage between two scenarios is 3.125%.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Metode LANDMARC dengan algoritma k-NN adaptif, Metode jarak RFID, Metode LANDMARC, Algoritma k-NN adaptif.
Subjects: T Technology > T Technology (General) > T58.5-58.64 Information technology > T58.5 General works Management information systems Cf. HD30.213 Industrial management Cf. HF5549.5.C6+ Communication in personnel management Cf. TS158.6 Automatic data collection systems (Production control)
Divisions: 09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User: Mr Halim Sobri
Date Deposited: 19 Sep 2019 02:01
Last Modified: 19 Sep 2019 02:01
URI: http://repository.unsri.ac.id/id/eprint/7962

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