ILKOM Jurnal Ilmiah
Vol 10, No 3 (2018)

INDOOR POSITIONING SYSTEM BERDASARKAN FINGERPRINTING RECEIVED SIGNAL STRENGTH (RSS) WIFI DENGAN ALGORITMA K-NEAREST NEIGHBOR (K-NN)

Yudha, Dendi Prana (Unknown)
Hasbi, Billy Ibrahim (Unknown)
Sukarna, Royan Habibi (Unknown)



Article Info

Publish Date
20 Dec 2018

Abstract

Wireless networks other than communication media can be used to find out the existence of an object. Positioning technology that is commonly used is Global Positioning System (GPS). GPS can receive location information accurately in outdoor, this situation is contradictory in indoor environment, GPS signal is interrupted by signal attenuation caused by building materials and types of physical barriers. This study aims as an alternative solution for indoor positioning using RSS (Received Signal Strength) WiFi. Fingerprinting technique is used to collect RSS data on 5 access points in 3 test locations, RSS data collected is 243 data. This study uses Euclidean Distance and K-Nearest Neighbor (K-NN) method. The accuracy of the system is tested using the 10-Fold Cross Validation method based on the results of the test shows that the system is able to determine the location with an accuracy rate of 96.71%.

Copyrights © 2018






Journal Info

Abbrev

ILKOM

Publisher

Subject

Computer Science & IT

Description

ILKOM Jurnal Ilmiah is an Indonesian scientific journal published by the Department of Information Technology, Faculty of Computer Science, Universitas Muslim Indonesia. ILKOM Jurnal Ilmiah covers all aspects of the latest outstanding research and developments in the field of Computer science, ...