Optimization of Distribution Network Inspection Using Drones to Improve Maintenance Effectiveness
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Published
Sep 10, 2025
Abstract
The maintenance of Medium Voltage Overhead Distribution Lines (SUTM) requires effective inspection methods to ensure the reliability of power supply. Conventional inspection methods have limitations in comprehensively detecting damage and are less efficient in terms of time, cost, and worker safety. The use of drones as an alternative technology offers a faster, more accurate solution capable of reaching difficult areas, thereby improving the effectiveness of distribution network maintenance. This study aims to optimize the use of drones in inspecting SUTM distribution networks by comparing the effectiveness, time efficiency, and operational costs between conventional methods and drone-based inspections. The results of the study indicate that the average inspection time was reduced from 66.45 minutes (conventional) to 21.20 minutes (drone), resulting in a 68.1% improvement in time efficiency. The average operational cost decreased from Rp 648,220 to Rp 298,380, equivalent to a 54% cost saving. Furthermore, the number of faults detected increased from 2.58 to 6.70, representing a 159.7% enhancement in detection effectiveness. Therefore, the implementation of drones in distribution network inspections is a strategic step to support a more reliable and modern maintenance system.
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References
Bappenas. (2020). Rencana Pembangunan Jangka Menengah Nasional (RPJMN) 2020–2024. Jakarta: Kementerian Perencanaan Pembangunan Nasional/Badan Perencanaan Pembangunan Nasional.
Cooper, D. R., & Schindler, P. S. (2014). Business Research Methods (12th ed.). McGraw-Hill Education.
Creswell, J. W. (2012). Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research (4th ed.). Pearson.
Denzin, N. K. (1989). The Research Act: A Theoretical Introduction to Sociological Methods (3rd ed.). Prentice Hall.
Gungor, V. C., Sahin, D., Kocak, T., et al. (2013). "Smart Grid Technologies: Communication Technologies and Standards." IEEE Transactions on Industrial Informatics, 7(4), 529–539.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis (7th ed.). Pearson.
Kothari, C. R. (2004). Research Methodology: Methods and Techniques (2nd ed.). New Age International.
Li, Y., Zhang, H., & Wang, Z. (2022). "Drone-Based Inspection of Power Distribution Lines: Advances and Challenges." Energies, 15(8), 2957.
Norman, D. A. (2013). The Design of Everyday Things (Revised & Expanded Edition). Basic Books.
Pagnano, A., Maffei, A., & Rauch, E. (2019). "Smart Maintenance: A Literature Review." Procedia Manufacturing, 39, 976–983.
PLN. (2020). Roadmap Transformasi Digital PLN 2020–2024. Jakarta: PT PLN (Persero).
Snedecor, G. W., & Cochran, W. G. (1989). Statistical Methods (8th ed.). Iowa State University Press.