DUWI, UTAMI (2019) Penentuan posisi dosen pada sistem indoor localization berbasis rssi menggunakan Protokol zigbee. Undergraduate Thesis thesis, Institut Teknologi Telkom Purwokerto.
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Abstract
The growing need for location information from an object with high accuracy makes the wireless network technology that is used today to develop rapidly. The technology to determining the position that is currently intensively is the Global Positioning System (GPS). Therefore, technology to determining the position in the room began to be developed with the concept of indoor localization. The indoor localization system is a technology that is used to determining the position of objects in a building or closed space by utilizing the WSN (Wireless Sensor Network). The purpose of this study is to determining the position of the lecturer or the unknown node in the lecturer room of the FTT IT Telkom Purwokerto and to know the accuracy of the system being tested. The process of positioning is based on the received signal strength (RSSI) on the unknown node by using the ZigBee module. ZigBee is used because when compared with other technologies, ZigBee has advantages on the distance range, power consumption, and maximum number of nodes. The trilateration method is used to calculate the estimated position of the unknown node at the observation location based on the signal strength received during the test. Testing is done through several scenarios that have been determined. From the test results obtained path loss coefficient value (n) at the observation location is 0.9836, while the level of positioning accuracy of indoor localization system is 1,251 meters. Keywords: Position Estimation, RSSI, Zigbee, Trilateration
Item Type: | Thesis (Undergraduate Thesis) |
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Subjects: | T Technology > T Technology (General) |
Divisions: | Faculty of Telecommunication and Electrical Engineering > Telecommunication Engineering |
Depositing User: | pkl5 |
Date Deposited: | 06 Jan 2021 05:53 |
Last Modified: | 23 Apr 2021 07:10 |
URI: | http://repository.ittelkom-pwt.ac.id/id/eprint/5876 |
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