CD Skripsi

Indoor Localization Pada Internet Of Things (Iot) Berbasis Fingerprinting Lora (Menggunaan Metodedeep Neural Network (Dnn)

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ABSTRACT
LoRa technology has received a lot of attention in recent years. There are many success stories about using LoRa technology for the Internet of Things in various implementations. Several studies have found that the use of LoRa technology has the opportunity to be implemented in indoor-based applications. LoRa technology was found to be more stable and more resistant to environmental changes. The Global Positioning System (GPS) method cannot be declared as a perfect tool because this tool still has drawbacks when in a building or building, the level of accuracy and precision of the Global Positioning System (GPS) will decrease and it will not work optimally when the user located right in a building or building. Object position is one of the information needed by applications in the Internet of Things (IoT), position accuracy in a closed room is largely determined by the position tracking device used. Fingerprinting is a localization technique used for positioning based on measurement data of RSSI LoRa values at several Anchor node points. Positioning is based on the Fingerprinting database as a feature which contains RSS values representing each position in the room. All of these features are used to train models on the Deep Neural Network method which uses fingerprinting data from RSSI LoRa devices on Indoor Localization. Based on the results of model testing and position prediction testing, there is the highest model accuracy with an accuracy of 82% with a total of 250 epochs and 400 neurons, then the model is used as a reference for predicting 53 positions with an average accuracy of 92%.
Keywords: IoT, Indoor Localization, LoRa, RSSI Fingerprinting, DNN

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1707114355

Penerbit

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

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1707114355

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

Lampiran Berkas

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