Konsumsi Energi Listrik Berdasarkan Pertumbuhan Penduduk dan PDRB di Kota Kendari

Abstrak

This study aims to analyses the influence of population growth and Gross Regional Domestic Product (GRDP) on electricity consumption in Kendari City, and to apply a multiple linear regression model as a tool for predicting electricity demand. The study uses a quantitative approach with secondary data obtained from the Central Statistics Agency (BPS) of Kendari City and PT PLN (Persero) UP3 Kendari for the period 2020 to 2024. The analysis was conducted using SPSS software to test the relationship between variables through multiple linear regression, including classical assumption tests, significance tests, and evaluation of the goodness-of-fit model. The results show that both population growth and GRDP have a positive and significant influence on electricity consumption, both partially and simultaneously. The coefficient of determination (R²) of 0.997 indicates that 99.7% of the variation in electricity consumption can be explained by the two independent variables, while the remaining 0.3% is influenced by other factors outside the model. With these criteria, the multiple linear regression model is considered effective for use as an initial prediction tool in planning electricity supply needs at the city level. These findings are expected to provide support for local governments and related agencies in formulating more accurate and sustainable electricity supply policies.

Kata kunci

• Electricity consumption
• grdp
• multiple linear regression
• population growth