T The cipinang rice market (pibc) and traditional markets in dki jakarta play a vital role in determining rice prices and distribution. however, access to integrated, easily understood, and directly comparable price data between both markets remains limited. this study aims to develop an interactive dashboard using power bi to visualize rice price comparisons between pibc and traditional markets. the method used is a quantitative approach through the extract, transform, load (etl) process on secondary data from two sources, followed by data modeling using a star schema and daily and monthly visualizations. the results show that the developed dashboard successfully presents rice price trends in an informative and interactive way, allowing users to filter by rice type, date, and market. a simple linear regression analysis was also conducted to evaluate the relationship between prices in pibc and traditional markets. the findings indicate a weak but positive correlation, with a relatively low coefficient of determination (r²). in conclusion, the developed dashboard integrates data from two sources into a single, accessible, and user-friendly visual platform, which can support stakeholders in monitoring rice price dynamics and assist in making data-driven decisions to maintain price stability and food security in dki jakarta.