Analytical Hierarchy Process Algorithm for Define of Water Meter

Abstract Customers can be certain that the fees they are charged proportional to amount of running water used or spent by clean consumers in some households as a result usage meter. Neglected meters cause losses for both and PDAM companies. The project’s goal was analyze meter using artificial intelligence. While purpose research is discover most prevalent causes degradation, output identify destructive variables. This study’s data came from observations interviews with Regional Water Company (PDAM) Tirtauli Pematangsiantar. Analytical Hierarchy Process (AHP) technique create decision support system. following damage explanations have been discovered based on information acquired through fieldwork: Congestion Meter (KM-1), Escape (KM-2), Deaf (KM-3), Gedek (KM-4), Broken (KM-5). (KM-4) has greatest priority damage, according AHP approach, computed value 0.3211. findings expected increase degradation PDAM, perhaps leading higher customer bills.