Unexpected events like disaster or accident often cause the emergency condition. For a disaster, mitigation is not only necessary, but also an emergency response plan for safety handling life of the victims are very important. Proper medical treatment by a professional will save many lives. Such event can occur at any or many locations and any time can occur in the same time that require some medical teams with qualified doctors or particular specialization and nurses for handling a number of victims. On the other hand, medical staff has a high mobility in performing his professional duties. Due to the limited number of medical staff with certain qualifications as required in an emergency and demands should arrive quickly, we need a reliable system in order to coordinating the assignment so for an emergency event can be handled properly. Those who have an authority can do coordination and scheduling. Scheduling optimization model has some special characteristics. Among the existence of a number of emergency events at several locations at the same time, the limited number of medical staff, special skills need for handling emergencies, and the presence of medical personnel who are mobile can be done by modeling one assignment optimizationl, namely Integer Linear Programming (ILP) model. As for fast communication for coordination between the management authority with a number of doctors, a mobile application can be applied. In this research, Bipartite Graph (BG) model, Ford-Fulkerson Algorithm (FFA) and ILP model as the main part of the decision making structure are implemented into a program. The first model (BG) present concordance between physicians with their expertise's. The second model (FFA) helps the authority to determine medical staffwho meet the condition. The third, ILP model will help the authority to determine the best combination of medical staff assignment. Input, process, output, and feedback from the implementation are representing decision-making system for the medical staff assignment in to the emergency situation. So the medical team can quickly find out the assignment's schedule through mobile applications.