Disaster impacts on human life not only in economic sector but also social, culture, and environment. In order to minimize the disaster risk, it is expected all elements who exposed to the forthcoming disaster make a good disaster preparedness then they will be resilience toward the disaster. Since individual as one of disaster stakeholder who will face a disaster directly, it is expected that they will participate actively in disaster reduction efforts. This study is aimed to design key performance indicators for measuring the disaster preparedness level of an individual. Using the Delphi method, it is obtained 14 indicators of three critical factors identified. The preparedness level of an individual against a disaster is plotted in 2-dimension matrix (awareness & attitude versus actions taken). The indicators are designed for assessing disaster preparedness of people who live in a tsunami disaster prone area. The indicators can be used by the government to assess the preparedness level of their citizens. Moreover, the indicators will be helpful for government in developing disaster preparedness program to improve people resilience against disaster.

During an emergency situation, there is often confusion in information that can complicate disaster management efforts. For this reason, it is necessary to design an information system that can support emergency response operations. The purpose of designing this information system is to design a disaster management information system to strengthen emergency response operations quickly, precisely, and dynamically, and can be a decision supporter to facilitate emergency response operations. The system was developed using the waterfall method using the Object-Oriented Programming (OOP) approach. The design of information systems uses the PHP programming language and uses MySQL as a database. Then the system that has been designed is verified and validated using the Black Box method. The results of the information system design can provide dynamically needed information so that it can assist in scheduling and allocating volunteers, verifying data from donors, making TRC reports, collecting data and refugee needs, and estimating the distance between posts and evacuation sites

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