PENERAPAN SISTEM PENENTUAN POSISI DALAM RUANGAN MENGGUNAKAN METODE FINGERPRINT BERBASIS MIKROKONTROLER ESP32

RASYID, MUHAMMAD FANNY NUR and Ubaya, Huda (2022) PENERAPAN SISTEM PENENTUAN POSISI DALAM RUANGAN MENGGUNAKAN METODE FINGERPRINT BERBASIS MIKROKONTROLER ESP32. Undergraduate thesis, Sriwijaya University.

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Abstract

Recently, wireless communication is growing rapidly, due to its practicality and the many features that have been developed along with current technological developments, especially features that can determine the position of subjects and objects using wireless methods such as Global Positioning System (GPS) and Location Based Services (LBS). This is an attraction because of its ease of use as well as being a feature of the service with the fastest growth. The Global Positioning System (GPS) is less effective when used indoors, because the GPS signal emitted by satellites will be disturbed by buildings that become obstacles and result in reduced object position accuracy. Several wireless technologies such as Bluetooth and Wi-Fi can be used for wireless-based position estimation indoors. Using the ESP32 microcontroller as a receiver and transmitter. Thus, many have adapted the fingerprint technique as a method used to determine the position that can be applied in the room. testing the positioning system using the K-Nearest Neighbor classification to determine the accuracy of the system. In the offline stage, using a database of 2,700 RSSI data at 27 reference points and the identity of each room is 900 RSSI data at 9 reference points. Using the K-Nearest Neighbor classification, all K values have an accuracy of 0.98. At the online stage using the original database and database testing. The testing database consists of 60 RSSI data at 3 test points or testing points. In room 1, using K=1 has an accuracy of 1.00, K=3 has an accuracy of 1.00, and K=5 has an accuracy of 1.00. In room 2 using K=1 has an accuracy of 0.96, K=3 has an accuracy of 63 0.96, K=5 has an accuracy of 0.98. And in room 3 using K=1 has an accuracy of 0.98, K=3 has an accuracy of 0.98, and K=5 has an accuracy of 1.00. From these results it can be concluded that the indoor positioning system using the fingerprint method based on the ESP32 microcontroller is able to estimate the receiver's position quite well even though there are errors in the study.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Indoor Potitioning, Mikrokontroler ESP32
Subjects:	Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA75 Electronic computers. Computer science
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Muhammad Fanny Nur Rasyid
Date Deposited:	29 Sep 2023 02:37
Last Modified:	29 Sep 2023 02:37
URI:	http://repository.unsri.ac.id/id/eprint/128787

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