Purpose: This study aims to design a Decision Support System (DSS) to optimize electric energy distribution priorities at PLN Unit Pelaksana Pengatur Distribusi (UP2D) Lampung, specifically to minimize Energy Not Served (ENS) losses.
Methodology: The research employs the Analytic Hierarchy Process (AHP) method. The criteria used include Customer Volume, Customer Type, Power Load, and Outage Frequency, focused on the Bandar Lampung region using Asset Management Optimization (AMO) and ENS Key point data.
Results: The implementation of the AHP algorithm successfully transforms complex technical parameters into objective priority rankings. The system provides a strategic tool for managers to identify high-impact locations, effectively reducing unsold energy and mitigating data-entry fraud risks.
Conclusions: The AHP-based DSS improves the objectivity and accuracy of electricity distribution prioritization by integrating multiple criteria into a structured decision-making process, thereby supporting optimal distribution and reducing Energy Not Served (ENS).
Limitations: The scope is limited to the Bandar Lampung distribution network, specifically evaluating four primary customer categories and focusing on ENS reduction as the main optimization goal.
Contributions: This research contributes a data-driven strategic framework for PLN Management to enhance operational efficiency and minimize corporate financial losses.