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Utilization of the Internet of Things in traditional musical instrument Talempong learning

Talempong is a traditional musical instrument from the Minangkabau tribe in West Sumatra, Indonesia. The challenges of learning Talempong musical instruments are the lack of availability of Talempong musical instruments, limited trainers or music teachers to train and evaluate, and limited time for...

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Main Authors: Novian Anggis Suwastika, Novian Anggis Suwastika, Masrom, Maslin, Qori Qonita, Qori Qonita, Muhammad Nur Fuadi, Muhammad Nur Fuadi
Format: Conference or Workshop Item
Published: 2022
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/108769/
http://dx.doi.org/10.1063/5.0192095
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spelling my.utm.1087692024-12-09T06:04:53Z http://eprints.utm.my/108769/ Utilization of the Internet of Things in traditional musical instrument Talempong learning Novian Anggis Suwastika, Novian Anggis Suwastika Masrom, Maslin Qori Qonita, Qori Qonita Muhammad Nur Fuadi, Muhammad Nur Fuadi QA75 Electronic computers. Computer science Talempong is a traditional musical instrument from the Minangkabau tribe in West Sumatra, Indonesia. The challenges of learning Talempong musical instruments are the lack of availability of Talempong musical instruments, limited trainers or music teachers to train and evaluate, and limited time for students to learn. The Internet of Things (IoT) has the ability to automate activities, integrate with various sensors, and store data on the internet that can be accessed anytime and anywhere. In this study, we developed an IoT-based Talempong musical instrument learning system. The system was built with an IoT development model consisting of five phases. Hardware components consist of LED lights, vibration sensors, microcontrollers, and wiring, whereas the software component is a website-based application that displays the results of student learning activities and programs for the Talempong training level. The communication protocol used in the system is the MQTT protocol. The system implementation results show that the IoT-based Talempong system follows the functionality and performance designed to solve the problem of learning the Talempong musical instrument. The performance results show that hardware and software components have worked, the delay from the vibration sensor to the microcontroller is always under 1 second, and the system provides 100% feedback on Talempong learning activities at level three. This prototype can be a reference for developing an application based on IoT for music education. 2022 Conference or Workshop Item PeerReviewed Novian Anggis Suwastika, Novian Anggis Suwastika and Masrom, Maslin and Qori Qonita, Qori Qonita and Muhammad Nur Fuadi, Muhammad Nur Fuadi (2022) Utilization of the Internet of Things in traditional musical instrument Talempong learning. In: 2nd International Conference on Technology, Informatics, And Engineering (ICON-TINE 2022), 23 August 2022 – 24 August 2022, Malang, Indonesia. http://dx.doi.org/10.1063/5.0192095
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Novian Anggis Suwastika, Novian Anggis Suwastika
Masrom, Maslin
Qori Qonita, Qori Qonita
Muhammad Nur Fuadi, Muhammad Nur Fuadi
Utilization of the Internet of Things in traditional musical instrument Talempong learning
description Talempong is a traditional musical instrument from the Minangkabau tribe in West Sumatra, Indonesia. The challenges of learning Talempong musical instruments are the lack of availability of Talempong musical instruments, limited trainers or music teachers to train and evaluate, and limited time for students to learn. The Internet of Things (IoT) has the ability to automate activities, integrate with various sensors, and store data on the internet that can be accessed anytime and anywhere. In this study, we developed an IoT-based Talempong musical instrument learning system. The system was built with an IoT development model consisting of five phases. Hardware components consist of LED lights, vibration sensors, microcontrollers, and wiring, whereas the software component is a website-based application that displays the results of student learning activities and programs for the Talempong training level. The communication protocol used in the system is the MQTT protocol. The system implementation results show that the IoT-based Talempong system follows the functionality and performance designed to solve the problem of learning the Talempong musical instrument. The performance results show that hardware and software components have worked, the delay from the vibration sensor to the microcontroller is always under 1 second, and the system provides 100% feedback on Talempong learning activities at level three. This prototype can be a reference for developing an application based on IoT for music education.
format Conference or Workshop Item
author Novian Anggis Suwastika, Novian Anggis Suwastika
Masrom, Maslin
Qori Qonita, Qori Qonita
Muhammad Nur Fuadi, Muhammad Nur Fuadi
author_facet Novian Anggis Suwastika, Novian Anggis Suwastika
Masrom, Maslin
Qori Qonita, Qori Qonita
Muhammad Nur Fuadi, Muhammad Nur Fuadi
author_sort Novian Anggis Suwastika, Novian Anggis Suwastika
title Utilization of the Internet of Things in traditional musical instrument Talempong learning
title_short Utilization of the Internet of Things in traditional musical instrument Talempong learning
title_full Utilization of the Internet of Things in traditional musical instrument Talempong learning
title_fullStr Utilization of the Internet of Things in traditional musical instrument Talempong learning
title_full_unstemmed Utilization of the Internet of Things in traditional musical instrument Talempong learning
title_sort utilization of the internet of things in traditional musical instrument talempong learning
publishDate 2022
url http://eprints.utm.my/108769/
http://dx.doi.org/10.1063/5.0192095
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score 13.223943

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