Yosef Budiman, Asma Khoirunnisa
Environmental issues are one of the main problems that have become the biggest challenge for mankind, which has a significant impact on the ecosystem and health of the earth in the form of global warming. Various actions are taken to reduce the impact of global warming, one of which is the development of renewable energy. Renewable energy can reduce CO2 gas emissions and local air pollution, such as the use of biofuels. Asia is one of the countries that has the potential as a biofuel producer in the world, especially Indonesia, the People's Republic of China, India, Thailand and Malaysia. Therefore, a study is needed to predict future biofuel production capacity. This paper aims to predict biofuel demand in Asian contingent countries. The predicted data in this paper is visualized using monitoring data visualization based on these approaches using Python algorithms within the scope of Exploratory Data Analysis (EDA). The EDA shows a mathematical equation containing the variables x (year) and y (biofuel production) with an average R-squared (R2) of 0.8264 and an average significance (p-value) of 0.013395. The analysed parameters show that the resulting regression model better fits the observations and contains a 99.98% probability that the results found in this study are the result of the correct relationship between the groups. © Published under licence by IOP Publishing Ltd.
Department of Polymer Science, The Petroleum and Petrochemical College, Chulalongkorn University, Thailand; Department of Mathematical Education, Faculty of Mathematics and Natural Science, Universitas Negeri Yogyakarta, Indonesia
