Abstract
In the aftermath of disasters, resources play a crucial role in aiding affected communities who have likely suffered substantial losses. The assistance provided can be immensely beneficial, particularly for those in dire need. Post-disaster resources are limited and require careful distribution to maximize their impact. However, organizations involved in relief efforts may face difficulties in distributing resources efficiently. Numerous organizations operate independently without coordinating with each other, leading to duplication of efforts such as resource oversupply in some areas and inadequate support in others. Moreover, current distribution methods where resources are distributed randomly do not consider factors indicating recipient's level of needs. This may lead to resources potentially reaching those who do not require assistance and overlook those who do. The mobile application developed for this project utilizes an intelligent algorithm called Genetic Algorithm to allocate resources based on factors including income, number of dependents, senior citizen status and disabilities, prioritizing distribution to those most in need. The application also enables an organization to access information on current and past relief operations of other organizations, fostering coordination and strategic planning of resource distribution. In addition to enhancing the efficiency of resource distribution through priority-based allocation and strategic planning among organizations, the system was developed with the objective to streamline the process of providing and receiving resources, benefitting both organizations and affected populations. This system offers advantages that are of great importance in improving the landscape of post-disaster relief operations.
Metadata
| Item Type: | Book Section |
|---|---|
| Creators: | Creators Email / ID Num. Mohd Yusof, Manisha Nadiha UNSPECIFIED Mohd Kassim, Azleena UNSPECIFIED |
| Subjects: | Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Mobile computing Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Computer software > Application software |
| Divisions: | Universiti Teknologi MARA, Johor > Pasir Gudang Campus > College of Computing, Informatics and Mathematics |
| Volume: | 2 |
| Page Range: | pp. 203-207 |
| Keywords: | Resource allocation, Post-disaster, Genetic algorithm, Mobile application |
| Date: | 2024 |
| URI: | https://ir.uitm.edu.my/id/eprint/135121 |
