BIG DATA TO IMPROVE HUMANITARIAN RELIEF CHAIN IN DISASTER MANAGEMENT

• Main Author: Fuad Hibaturrahman, Ryan
• Format: Theses
• Language: Indonesia
• Subjects: Manajemen umum
• Online Access: https://digilib.itb.ac.id/gdl/view/74440
• Institution: Institut Teknologi Bandung

In recent years, the application of Big Data has attracted a great deal of academic and professional interest. Big Data has the potential to boost numerous industries, including production, service, and catastrophe management. This research was done to determine the challenges and how Big Data contributes to the advancement of disaster management-related studies. This study aims to determine how Big Data improves the humanitarian response chain in disaster management. For this study, 31 articles that met the inclusion and exclusion criteria were examined and analyzed using a systematic literature review methodology utilizing journal articles including data from the Web of Science. Several components of the Humanitarian Relief Chain are assisted using Big Data, according to the findings of this study. The conclusion of the study is that implementing Big Data has 8 Challenges: environment, lack of data expert, coordination and collaboration, data collection and quailty, management, data security, IT technologoy, and political and administration issue. Big Data also contributes to the improvement of the humanitarian aid chain by strengthening four categories: performanceoptimization, coordination-collaboration, information visibility, and planningdecision-making. In disaster management, there are four phases: Mitigation, which reduces risk by reducing the likelihood of occurrence, Preparedness, which is prepared in the event of a disaster, Response, which is what to do when a disaster occurs, and Recovery, which is what must be done to restore the situation or conditions after a disaster. According to the findings of the authors' analysis, Big Data has been implemented in the Preparedness Phase the most in recent research.