Abstract

Disaster management is considered global jeopardies toward humankind toward their sustainable development goals. Technology driven for this disaster management plays vital role in responding and recovering disaster management within mitigated risk. The technology refers to Artificial Intelligence Technology for disaster preparedness, response and recovery. Indonesia and Japan Disaster Management is chosen as comparative analysis due to its similarities and differences between two countries that are prone to disaster. In this paper, the Artificial Intelligence’s technology and method refer but not limited to method of Expert Systems (ES), Artificial Neural Network (ANN), Fuzzy Logic (FL), Support Vector Machine (SVM), and Adaptive Neuro-Fuzzy Interface System (ANFIS). The objective of this paper is to generate comparative analysis between Indonesia and Japan Disaster Management. Eventually, this paper is intended to intertwine Artificial Intelligence with Disaster Management. The approaches to intertwine both aspects are conducted within Trilogy of Civil Engineering, Industrial Engineering and Business Engineering. As research methodology, this paper elaborates both theoretical and empirical perspectives, that commence with global perspective and eventually it shortlists into the comparative analysis between Indonesia and Japan Disaster Management. Within the Engineering Trilogy, to begin with, Civil Engineering toward disaster management considers wide spectrum of theoretical and empirical perspectives to augment disaster resilience. Furthermore, Industrial Engineering and to some extent the Industrial and System Engineering, synergize the disaster management within its supply chain and digital transformation’s information system as competitive advantage. Eventually, the Business Engineering wraps up both Civil Engineering and Industrial Engineering into integrated Business Strategies, through the Technology Driven including Artificial Intelligence.

Keywords

Disaster Management, Artificial Intelligence, Indonesia, Japan, Business Engineering Strategies