One of the key challenges in implementing good governance within the business travel management system at University XYZ is the absence of relevance benchmarks to determine the relationship between various business travel activities. This gap often leads to redundant program requests, resulting in financial inefficiencies and unmet expected outcomes. This study benchmarks K-Means and DBSCAN to detect redundant requests. Results show that DBSCAN yields better performance in identifying unique requests and supporting budget optimization.