Learning Media Development Photovoltaic (PV) Integration Data Communication Scalable Model with Internet of things (IoT)-Assisted Monitoring

Abstract

The aim of this research is to create educational materials for Data Communication by combining photovoltaic (PV) technology with a scalable model and monitoring through the Internet of Things (IoT). The research assessed the feasibility of implementing photovoltaic integration and a scalable model to determine the energy usage level. Additionally, it developed a learning aid product (media trainer) that is valid, practical, and effective for learning, using IoT-assisted monitoring for data communication.
 The focus of this study is on students who are using Network and Data Communication studying in the Department of Electrical and Computer Engineering at Gorontalo State University. The research will utilize media trainers as educational tools for learning purposes. The research methodology employed in this study involves the stages and steps outlined in the ADDIE development model. The validation of the product's quality feasibility has been conducted by a team of expert validators through the use of focus group discussions (FGDs). Using a methodology that involves analyzing data using descriptive statistics. The results indicated that the trainer media was deemed highly valid by a team of expert assessors, with an average total score of 3.82. Additionally, the formative assessment of the trainer media users yielded a score of 3.64, which was interpreted as highly practical. The results effectively demonstrated the difference in learning outcomes before and after using the product.