CARBON EMISSIONS MONITORING AND PREDICTION SYSTEM IN SECONDARY EDUCATION INSTITUTIONS

• Main Author: D'Arc Amara Hanieka, Jeanne
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/84867
• Institution: Institut Teknologi Bandung

Technological advancements have significantly boosted the accessibility, efficiency, and effectiveness of education worldwide. Digital tools, software, and platforms have revolutionized learning by enabling students to access a wide range of updated materials and connect with educators and peers globally. For example, in Indonesia, significant government investments in Information and Communication Technology (ICT) have supported this digital transformation in schools. However, this rapid adoption of technology has often neglected the environmental costs, particularly the increase in electronic waste and energy consumption, which contributes substantially to carbon emissions. Secondary schools, in particular, have become notable sources of carbon emissions due to their heavy use of electronic devices. Previous studies have explored the importance of carbon footprint assessments within the educational sector. These studies emphasize the necessity for tools that enable students and institutions to calculate and mitigate their carbon outputs actively. However, there exists a stark gap in the development of specialized monitoring applications tailored for secondary educational settings, which can systematically manage and reduce their environmental impact. Recognizing this issue, this research focuses on creating a carbon emission monitoring and prediction system tailored for secondary educational institutions. This system aims to embed sustainability into the use of educational technologies, guiding policymakers, educators, and stakeholders towards environmentally responsible decisions. By leveraging the CRISP-DM framework, the research uses operational data and emission expectations to develop predictive models and optimization strategies for purchasing electronics in schools. Early implementation of this system in schools that heavily use electronic devices shows that, while their carbon emissions are significant, although they are still lower than the average household emissions in the United States. The system features an intuitive interface, making it easy for schools to access predictive results and make informed purchasing decisions, thereby fostering more sustainable practices and raising awareness about the importance of reducing carbon footprints among staff and students. Overall, this research successfully delivers a practical system for monitoring and predicting carbon emissions, significantly aiding schools in addressing their environmental impact with data-driven strategies.