Estimasi Lokasi Objek dalam Gedung Berbasis IEEE 802.11 menggunakan Metode Naïve Bayes
| Main Author: | Widyawan, Widyawan |
|---|---|
| Format: | Article PeerReviewed application/pdf |
| Bahasa: | eng |
| Terbitan: |
, 2012
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/33101/1/Estimasi_Lokasi_Objek_Dalam_Gedung.pdf https://repository.ugm.ac.id/33101/ |
Daftar Isi:
- 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. I t is appealling to use an existing WLAN infrastructure for indoor location based WLAN positioning system using RSS. This research focused on implementation of RSS from APs at third floor JTETI UGM and around the building without placing additional APs. RSS fingerprint are collected with four different measuring orientation, which is North, East, South and West, with grid-area 1m x 1m and 2m x 2m. Location estimation of the object is calculated by Naïve Bayes and k-Nearest Neighbor (k-NN) algorithm as comparator. Naïve Bayes method and grid-area 1m x 1m gives higher accuracy. Different measuring orientation gives different location estimation.