CD Skripsi

Indoor Localization Menggunakan Metode K-Nearest Neighbor (Knn) Dengan Teknologi Lora Berbasis Internet Of Things (Iot)

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ABSTRACT
The development of navigation technology in the world has been very advanced, everyone will find it easier to find a position and find out objects, before navigation technology or called the Global Positioning System (GPS) everyone could only use the help of a compass, maps and natural properties to find out the position and objects by relying on the cardinal directions. The Global Positioning System (GPS) method cannot be declared as a perfect tool because this tool still has shortcomings when in a building, the level of accuracy and precision of Global Positioning System (GPS) technology will decrease and do not work optimally when the user located right in a building. Therefore we need another positioning system that is more accurate to be used as navigation in the room. The technology is called the Internet Of Things (IoT)-based indoor localization concept that utilizes LoRa devices using the fingerprinting method to measure signal strength and generates a dataset in the form of RSSI which will be tested using the K-Nearest Neighbor method with a python-based application program in predicting clusters which produces information in the form of an accuracy of approx. 100% on 4 clusters and 94,70% on 8 clusters.
Keywords: Indoor Localization, KNN, LoRa SX1276, Internet Of Things, Finggerprint.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1707122660

Penerbit

Pekanbaru : Universitas Riau – Fakultas Teknik – Teknik Informatika., 2023

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1707122660

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

TEKNIK ELEKTRO

Info Detail Spesifik

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Pernyataan Tanggungjawab

DAUS

Versi lain/terkait

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