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