| dc.description.abstract | No one can predict disasters accurately, but it can minimize the potential for their occurrence through careful planning. At this opportunity, the author's main point is to apply operational management in a disaster centered in the capital city of Indonesia (Jakarta), divided into seven scattered locations, requiring accurate disaster management in only one week. Therefore, this study emphasizes disaster mitigation on a national scale based on prediction and planning with high data accuracy. The center-of-gravity method is applied to get various relevant data with optimal points so that they are easy to reach in one area by including demographic aspects at coordinate points such as districts. Seven disaster-prone areas classified as 'severe' spread across Central Java, North Sumatra, West Nusa Tenggara, Central Kalimantan, Maluku, Papua, and South Sulawesi. The areas in question are Pekalongan (-6.965400313, 109.6069198), Sarulla (1.913274421, 99.19588061), Jereweh (-8.8571919, 116.9659885), Muara Teweh (-1.132188612, 114.1819521), the Obi Islands (-1.526250821, 127.9035781), Sawai (-1.769803368, 137.548692), and Palopo (-3.131001243, 120.5336565). The practical implications illustrate that strategic efforts are continuously being pushed by BNPB, the Republic of Indonesia, which plays a very important role in the rapid response to help victims of natural disasters. Important theoretical contributions in research to implement disaster mitigation programs in Indonesia structured, based on local potential, institutionalized, and sustainable. Ideally, the implications will continue to be pursued through the design of modeling on data at a smaller scope, such as the Regency and City areas. | en_US |
