Muhammad Yahya, Jumadi Mabe Parenreng, Suhartono, M. Syahid Nur Wahid, Andika Saputra, Abdul Wahid
According to the ESCAP report, nearly half of the world's natural disasters occur in the Asia Pacific region, with Indonesia ranking first in terms of the number of victims. In terms of disasters, Indonesia lags in terms of early warning, response, and recovery. In terms of post-disaster management, the issue is the distribution of aid to disaster victims, including uneven logistics distribution, slow distribution, and poor coordination among related agencies. This paper proposes a solution in the form of a disaster logistics management system with data management features for disaster victims' needs, a donation collection system, and distribution management and monitoring of volunteers who will go to disaster sites. This system's decision-making model is based on a smart system that uses sorting data to determine the priority level of the type of assistance needed at the disaster site and the K-Nearest Neighbor (KNN) algorithm to determine the priority of the distribution of aid locations. As a result, command center officers will be able to better coordinate with field teams in making decisions about priority actions that must be taken. Furthermore, this system serves as a public accountability medium for distributing disaster logistics to the government and related officials. © 2021 IEEE.
Automotive Engineering Education, Department Universitas Negeri Makassar, Makassar, Indonesia; ICT Centre, Department Universitas Negeri Makassar, Makassar, Indonesia; STKIP YPUP Makassar, Mathematics Education Department, Makassar, Indonesia; Informatics And Computer Engineering, Department Universitas Negeri Makassar, Makassar, Indonesia
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