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

Abstract

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.