Bintang Ramadhani, NIM.: 20106020041 (2024) RANCANG BANGUN SISTEM ELEKTROMIOGRAFI (EMG) PORTABEL BERBASIS INTERNET OF THINGS (IOT) BERPROTOKOL MESSAGE QUEUING TELEMETRY TRANSPORT. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.
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Text (RANCANG BANGUN SISTEM ELEKTROMIOGRAFI (EMG) PORTABEL BERBASIS INTERNET OF THINGS (IOT) BERPROTOKOL MESSAGE QUEUING TELEMETRY TRANSPORT)
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Text (RANCANG BANGUN SISTEM ELEKTROMIOGRAFI (EMG) PORTABEL BERBASIS INTERNET OF THINGS (IOT) BERPROTOKOL MESSAGE QUEUING TELEMETRY TRANSPORT)
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Abstract
This research aims to design, build, and test a portable electromyography (EMG) system based on the Internet of Things (IoT) with message queuing telemetry transport protocol. This research is conducted through three stages starting with the design, manufacture and testing of the system. System design is done by making electronic circuit schematics and overall system design using Fritzing, Sketch Up, and AutoCad software. The manufacturing stage is carried out assembling system hardware components consisting of EMG V3 sensor modules, NodeMCU ESP8266, 18650 Batteries, ± 12V CT Modules, and TP4056 Charger Modules, while system software is made using Arduino IDE and IoT MQTT Panel applications. System testing includes testing the suitability of system functionality, testing EMG signal characteristics, and repeatability precision. The system has been successfully designed and made. The design results have been used as a reference for making portable electromyography (EMG) systems based on the Internet of Things (IoT) message queuing telemetry transport protocol. In addition, the system has been successfully tested with a percentage value of 100% for system functionality suitability, 97.62% for repeatability precision value. The EMG signal characteristics generated by the system in each subject have different characteristic values. With the average characteristic value of the system for peak to peak voltage variables when the muscle relaxes by 8.95mV and when the muscle contracts by 10.48 mV, for root mean square voltage when the muscle relaxes by 1.38 mV and when the muscle contracts by 1.94 mV, with a signal frequency of 49.97 Hz when the muscle relaxes and 49.98 Hz when the muscle contracts.
Item Type: | Thesis (Skripsi) |
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Additional Information: | Pembimbing: Anis Yuniati, S.Si., M.Si., Ph.D. |
Uncontrolled Keywords: | Elektromiografi, Modul Sensor EMG V3, IoT MQTT, NodeMCU ESP8266 |
Subjects: | 500 Sains Murni > 530 Fisika |
Divisions: | Fakultas Sains dan Teknologi > Fisika (S1) |
Depositing User: | Muh Khabib, SIP. |
Date Deposited: | 02 Oct 2024 08:56 |
Last Modified: | 02 Oct 2024 08:56 |
URI: | http://digilib.uin-suka.ac.id/id/eprint/67413 |
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