Optimizing search and rescue personnel allocation in disaster emergency response using fuzzy logic

Mohammed Ali Berawi, Pekka Leviakangas, Fadhi Muhammad, Mustika Sari, Gunawan, Yandi Andri Yatmo, Muhammad Suryanegara

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


Several models have been developed to facilitate decision-making in disaster management, especially in relation to emergency resource allocations. These models are required in order for search and rescue personnel to operate efficiently. However, in Indonesia, in general, technology has not been used to help make decisions during the response phase; rather, these decisions are still made subjectively. This paper presents a decision-making model that helps search and rescue teams determine the number of personnel to deploy. Therefore, it streamlines the allocation of personnel in a search area, and it determines the number of personnel that are needed based on the area, population density, equipment, and the number of high buildings. Then, those variables are processed using a fuzzy expert system and a decision tree. The data and knowledge acquired as a reference were obtained from disaster management experts as well as experienced practitioners in the field of Search and Rescue.

Original languageEnglish
Pages (from-to)1416-1426
Number of pages11
JournalInternational Journal of Technology
Issue number7
Publication statusPublished - 1 Jan 2019


  • Decision tree
  • Disaster management
  • Fuzzy expert system
  • Search and rescue


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