Designing Inventory Information System for Humanitarian Logistics in the Merapi Disaster Management in Sleman, Yogyakarta.

التفاصيل البيبلوغرافية
العنوان: Designing Inventory Information System for Humanitarian Logistics in the Merapi Disaster Management in Sleman, Yogyakarta.
المؤلفون: Handayani, Naniek Utami, Basyir, Ghifari, puspitasari, Diana, Widharto, Yusuf
المصدر: IEOM North American Conference Proceedings; Oct2020, Vol. 2, p2912-2920, 9p
مصطلحات موضوعية: INVENTORY control, LOGISTICS, EMERGENCY management, INFORMATION storage & retrieval systems
مصطلحات جغرافية: YOGYAKARTA (Indonesia)
مستخلص: Disasters are events that can threaten and disrupt people's lives and livelihoods. Indonesia is a very high geological disaster threat, so it is vulnerable to tectonic earthquakes and volcanic eruptions. Mount Merapi is one of the most active volcanoes in Indonesia, located in Sleman Regency, Yogyakarta Province. Management of disaster emergency response needs to be supported by the availability of humanitarian logistics. However, some problems often occur in the handling of humanitarian logistics. It is the mismatch of the number and type of disaster relief goods, the time of distribution of humanitarian logistics, the distance between the logistics warehouse and the location of the barracks, and the management of relief goods from donors. During the emergency response period, the distribution and management of relief items from donors need to be done quickly and on time, type, and amount. For this reason, there needs to be an accountable and transparent humanitarian logistics management system supported by an information system that facilitates the management of the relief items. This research aims to develop a web-based humanitarian logistics management information system that connects donors, BPBD as a logistics center warehouse manager, and evacuation posts. The database in this information system is designed using MySQL, and the information system design uses the PHP programming language. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index