CATEGORICAL ANALYSIS TO PERCEPTIONS OF GOVERNMENT POLICY IN ELECTRICITY FUEL MANAGEMENT AS ALTERNATIVE TO SUBSTITUTE OIL FUEL USING CHI-SQUARE TEST

• Published in: Barekeng
• Main Authors: Nur Chamidah, Naufal Ramadhan Al Akhwal Siregar, Muhammad Fikry Al Farizi, Bagas Shata Pratama, Atikah Faiza, Muhammad Hilmi Fibryan
• Format: Article
• Language: English
• Published: Universitas Pattimura 2023-09-01
• Subjects: affordable energy; alternative energy sources; categorical analysis; government policy; oil fuel prices
• Online Access: https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7979

The scarcity and increase in world oil prices is a tough dilemma that must be responded to by the Indonesian government. In order to prevent fuel consumption from swelling, the government plans to reduce fuel subsidies. The plan certainly has many positive impacts, including savings on government finances so that they can be diverted to fund other programs that are more effective and on target. These savings are also useful in reducing the budget deficit, controlling the consumption of fuel oil, and saving non-renewable natural resources. It is appropriate for the state to think hard about switching energy to New and Renewable Energy (EBT) so that people's dependence on fossil energy consumption can be shifted. Therefore, this study aims to determine the current public perception of government policies in the management of fossil fuel energy so that they can be considered by the government in making comprehensive policy decisions. The data used in this study is in the form of primary data obtained from respondents with a population of Indonesian people and collected online through a questionnaire. The data analysis method in this study used the independence test with the chi-square test on categorical data. The results of this study indicate that there is a relationship between the level of public perception of the basic policy of managing electric fuel with the last level of education, type of work, and the area of the population.