Year: 2025 | Month: December | Volume: 12 | Issue: 12 | Pages: 338-345
DOI: https://doi.org/10.52403/ijrr.20251239
Correlation Analysis of the Effectiveness of Electric Energy Production at PT PLN (Persero) based on Panel Data Regression Method
Agista Surya Bawana1, Nurcahya Yulian Ashar2, Humam Rosyadi3, Arya Wicaksana4
1,2,4Department of Mathematics, Faculty of Sciences and Mathematics, Diponegoro University, Semarang, Indonesia.
3Department of Accounting, Politeknik Negeri Semarang, Semarang, Indonesia.
Corresponding Author: Nurcahya Yulian Ashar
ABSTRACT
This study aims to analyze the correlation between the effectiveness of electricity production at PT PLN (Persero) using panel data regression methods. Given the high demand for electricity in line with economic growth and population growth, this state-owned electricity company needs to ensure efficiency in its production. This study uses secondary data from the 2023 PT PLN Statistical Report to evaluate the influence of variables such as load factors, capacity, energy sold per customer group, energy produced, and the number of generating units on company revenue. The methodology used is multiple linear regression with a panel data approach, as well as a series of statistical tests to ensure data validity, such as normality tests, multicollinearity tests, and Durbin-Watson autocorrelation tests. The analysis results show that only one variable, namely energy sold per customer group, has a significant effect on company revenue. Simultaneously, the five variables tested contributed 74.3% to the company's revenue. Based on these findings, it is recommended that PT PLN (Persero) focus more on increasing energy sales per customer group, particularly in the business and industrial sectors. Increased promotion and customer acquisition programs can be effective strategies for increasing revenue and production efficiency, as well as having a positive impact on the company's profit margin.
Keywords: Panel Data Regression, Electric Energy Production, Effectiveness Analysis, Energy Efficiency
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