Political regimes and social status are always shifting in a region. It is one of the principal reasons why its analysis is needed to decipher for military or humanitarian missions for the region. More data from heterogeneous sources and locations may improve the mission decision-making, by which more accurate and less variant prediction of social unrest threat in a local area would be possible. This paper discusses a decision assistance system with a machine reasoning algorithm built on the information entropy minimum principle, and its implementation on a web server to accommodate data upload from collaborators. The developed web server has the capacity to add and update a database, and the updated database is supplied to the decision assistance algorithm for decision rule generation regarding social unrest threat or regime change prediction. The web-server-based decision assistance system has been evaluated using publicly available polity data on regime change.