Sistem navigasi dengan perhitungan received signal strength indicator (rssi) zigbee untuk penentu lokasi indoor pada perangkat android

Gani, Adi Arifin Kusuma (2013) Sistem navigasi dengan perhitungan received signal strength indicator (rssi) zigbee untuk penentu lokasi indoor pada perangkat android. Bachelor Thesis thesis, Universitas Multimedia Nusantara.

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Abstract

The needs of navigation system are increased. One of the most popular use is the use of Global Positioning System (GPS) which being used as navigation system in vehicle for locating places. GPS uses satellites as reference to calculate its user’s location. That makes GPS only usable in outdoor environment because satellite can’t reach into building so navigation system for indoor environment has to use other references to calculate the coordinate. One of them is the use of ZigBee as reference for calculating coordinate in indoor environment. Coordinate is calculated using at least 3 distances from blind node toward 3 fixed nodes that installed inside the building and have known location. Distance between blind node and fixed node is gained by converting RSSI value between those both nodes into distance. From those 3 distances, trilateration technique is applied to find x and y coordinate of the blind node. In this research, 6 ZigBee fixed nodes are used in order to get better result. Test proved that this method is able to get calculated coordinate with 96.29% precision in accuracy of < 2.5m. The resulted coordinates are shown in mapping using Android device.

Item Type: Thesis (Bachelor Thesis)
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 004 Computer Science, Data Processing, Hardware
300 Social Sciences > 380 Commerce, communications and transportation > 384 Telecommunications (Handphone, Phone, Wireless Communication, Telegraph)
Divisions: Faculty of Engineering & Informatics > Computer Engineering
Depositing User: mr admin umn
Date Deposited: 02 Aug 2017 07:01
Last Modified: 26 Jan 2023 02:10
URI: https://kc.umn.ac.id/id/eprint/1534

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