E-commerce platforms require accurate data management, but often face the challenge of data redundancy that threatens system integrity. This study aims to design an optimal database for the Rie.charge e-commerce case study. The research method used is the Database Life Cycle (DBLC) approach, with a focus on logical design. This process systematically applies normalization techniques to transform data from Unnormalized Form (UNF), through First Normal Form (1NF) and Second Normal Form (2NF) , to Third Normal Form (3NF). The results show that the 3NF design was successfully achieved, as evidenced by the redundancy rate analysis, which shows a significant and effective reduction in data redundancy. This optimal design has been proven to successfully eliminate data anomalies (insertion, update, deletion) and ultimately ensure data integrity.
Copyrights © 2025