Predictive Analytics Model for Optimizing Carbon Emission from Student Activity and Behavior with A Design Thinking Approach: Case Study: Bandung Institute of Technology

Abstract

Global warming is starting to become a major issue to maintain the sustainability of the environment and the earth. This phenomenon is caused by high greenhouse gas emissions, most of which come from human activities. At the university level, there have been many studies related to carbon footprint in universities, but only a few have studied the behavior and activities of the people in it, especially students. Predictive Analytics can be applied as the model to predict the future trends of emission carbon in the university based on the emission carbon data. Design Thinking can be used as an approach to solve such an abstract and complex problem to use the emission data to optimize carbon emissions at the student level. This research is expected to provide insights for universities regarding their level of carbon footprint and provide awareness of this so that several decision-making steps can be taken regarding optimizing carbon emissions at the student level. Bandung Institute of Technology will be the subject of this research. This study is preliminary research which will be implemented in the future work.