Manual operational data management in pet shops often causes problems, such as inaccurate stock data, difficulty in tracing transaction history, and inefficient services. The goal of this study is to create and build a website-based pet shop management system called Petify. This system was developed to provide an integrated platform for administrators to centrally manage product data, grooming services, scheduling, transactions, and suppliers. The system development method used is the Waterfall model, which includes the stages of requirements analysis, system design, implementation, and testing. In the system design stage, system modeling was carried out using ERD and DFD, as well as user interface (UI/UX) designs tailored to the needs of administrators. The result of this research is a website-based information system that can replace manual recording and simplify store operations. Based on system testing using the Black Box Testing method with the Equivalence Partitioning approach, all functional features of the system were proven to work well and valid according to user needs. The implementation of Petify is expected to improve store management efficiency and service quality for customers.
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