Utilizing LoRa for IoT based mini weather station as STEM learning media to support industrial revolution 4.0

Abstract

In a process of learning, learning media play an important role in improving students' understanding. In this study, a learning medium based on Internet of Thing (IoT) was developed. The IoT is one of core development in technology of Industrial Revolution 4.0 era. The learning media developed in this research study utilizing LoRa (Long Range Area) which functions as a remote data sender. The LoRa paired with Arduino connected to sensors and placed in several location within Banda Aceh. LoRa was integrated with Network Thing to store data and could be displayed on the PC. The researchers and students could observe the changes in air quality in relation to the changes in temperature, humidity, and air pressure from the data that have been stored in the Network Thing cloud. The students are motivated in the learning process to find out relationships between air quality and changes to the temperature, humidity, and air pressure. This is preliminary and ongoing research. The early data were collected from interviews with students after the learning process and collecting the results of the observation. Students' interest increases with the integration of Science Technology Engineering and Mathematics (STEM) in the learning process. This was demonstrated by students during the learning process. From this learning process, students are also aware of the importance of reducing air pollution. Around 86% of students understand the concepts of subject learned and around 92% of students were motivated and enjoy during the learning.