ESTIMASI LOKASI OBJEK DALAM GEDUNG BERTINGKAT BERBASIS IEEE 802.11 MENGGUNAKAN METODE NA�VE BAYES

• Main Authors: , sutarti, , Widyawan, ST, M.Sc, Ph.D
• Format: Theses and Dissertations NonPeerReviewed
• Published: [Yogyakarta] : Universitas Gadjah Mada 2012
• Subjects: ETD
• Online Access: https://repository.ugm.ac.id/100569/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=57130
• Institution: Universitas Gadjah Mada

WLAN has become very popular in public and enterprise networking during the last few years. IEEE 802.11 is currently the dominant local wireless networking standard. It is appealling to use an existing WLAN infrastructure for indoor location based WLAN positioning system using RSS from APs that have been available. This research focused on implementation of RSS from APs inside and around the JTETI UGM building without placing additional APs. RSS fingerprint are collected with four different measuring orientation, which is North, East, South and West, with gridsize 1m x 1m and 2m x 2m. RSS fingerprint from first, second and third floor are collected in order to differentiate multifloor. Location estimation of the object is calculated by Naïve Bayes and k-Nearest Neighbor (k-NN) algorithm as comparator. As the results, location estimation is influence by fingerprint grid-size, algoritm and fingerprint measuring orientation. Naïve Bayes method with grid-size 1m x 1m gives highes accuracy. The acuracy given by this method is 3.41 m. This system has capability to differentiate between the floors.