Developing Winning Tender Recommendation System: Fuzzy Moora Approach

A Decision-Making in determining the project tender winner becomes a significant challenge procurement stage, thus it is very vulnerable to administrative errors, corruption, and nepotism. Therefore, recommendation system new problem solving order increase information transparency, company’s opportunity win, fraud minimization, community complaint on tender. The developed using analysis of Fuzzy MOORA calculate consideration six criteria, including administration, qualifications, technical experience, proposed price, number projects, size based winning budget. Herein, 20 companies were acted as alternatives applying testing system. As result, Blackbox User Acceptance Test (UAT) this application from ten staffs Working Selection Group (POKJA) at Bureau Procurement Goods Services (PBJ) Riau Province found that entire modules functions run well. Meanwhile, UAT scores 87.6% states can assist POKJA’s objectively selecting winner. In addition, sensitivity test analyzes possible increasing weighting viz., C3 (technical experience) C4 (price) improve quality rankings up 79.16%. Thus, result enhanced efficacy approach providing better analysis.