This study designs a web-based household electronic sales system with a Collaborative Filtering recommendation system at Mayora Elektronik Store Blitar to address marketing, transaction logging, and product search limitations. Utilizing a Research and Development (R&D) approach with the Rapid Application Development (RAD) method, the development includes Requirements Planning, User Design, Construction, and Cutover phases. The Collaborative Filtering algorithm based on cosine similarity is implemented to provide product recommendations on detail and shopping cart pages. Functional evaluation via Black Box Testing achieved a 91.67% compliance rate across 36 test scenarios. Furthermore, Beta Testing yielded an 87.83% feasibility score (highly valid category), comprising customer (87.25%), admin (90.00%), and IT expert (91.11%) evaluations. These findings demonstrate that the system is feasible for implementation as a digitalization solution for household electronic MSMEs.
Copyrights © 2026