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HYDROCLUSTER: ENHANCING CLEAN WATER ACCESSIBILITY IN RIAU PROVINCE THROUGH K-MEANS OPTIMIZATION AND GENETIC ALGORITHMS
Dafwen Suryani , Pelita Indonesia Institute of Business and Technology, Pekanbar, IndonesiaAbstract
This research introduces "HydroCluster," an innovative approach aimed at enhancing clean water accessibility in Riau Province. Leveraging a combination of K-Means Optimization and Genetic Algorithms, HydroCluster identifies and targets specific user groups for clean water initiatives. The study delves into the design, implementation, and impact of HydroCluster, analyzing its effectiveness in optimizing resource allocation and improving the efficiency of clean water distribution. Through a blend of qualitative and quantitative analyses, this research sheds light on the transformative potential of HydroCluster in addressing clean water challenges in Riau Province.
Keywords
clean water accessibility, Genetic Algorithms, water distribution
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