Developing Reusable COVID-19 Disaster Management Plans Using Agent-Based Analysis

Since late 2019, the COVID-19 biological disaster has informed us once again that, essentially, learning from best practices past experiences is envisaged as top strategy to develop management (DM) resilience. Particularly in Indonesia, however, DM activities are challenging, since we have not experienced such a disaster, implying that related knowledge available. The existing written down during generally structured typical government document, which easy comprehend by stakeholders. This paper therefore sets out an Indonesia Disaster Management Plan (DISPLAN) template, employing Agent-Based Knowledge Analysis Framework. framework allows complexities be parsed before depositing them into unified repository, facilitating sharing, reusing, and better decision-making system. It also can instantiate any DISPLAN for lower administration levels, provincial regency, harmonise holistic activities. With Design Science Research (DSR) guiding these processes, plan developed, successfully evaluate it with real case study of Manokwari Regency. To ensure its effectivity usability, conduct post-evaluation two authorities who highly involved task force at regency level. results this promising.