This research focuses on the optimization of Steiner trees by minimizing the number of Steiner points, aiming for efficient network connectivity. Steiner trees play a crucial role in designing cost-effective networks by connecting specified terminal nodes with additional Steiner points. Our study explores algorithms and approaches to approximate Steiner trees and forests while minimizing the required Steiner points. The goal is to enhance network efficiency, reduce resource utilization, and facilitate the design of streamlined communication networks. This abstract provides an overview of the methodology, key findings, and implications of the research in the realm of network optimization.

This study introduces "MindScan Pro," an innovative Psychological Test Assessment Information System implemented at LPK Hiro Karanganyar. Developed to revolutionize the process of psychological assessment, MindScan Pro integrates cutting-edge technology with proven psychological evaluation methodologies. This research explores the design, implementation, and impact of MindScan Pro, examining its effectiveness in enhancing the precision, efficiency, and overall excellence of psychological assessments conducted at LPK Hiro Karanganyar. Through a blend of qualitative and quantitative analyses, the study sheds light on the transformative potential of MindScan Pro in the realm of psychological assessment.

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.