#TITLE_ALTERNATIVE#

• Main Author: FATTA ZARKASYI ADHA, EROS
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/21981
• Institution: Institut Teknologi Bandung

Indonesia occupies a very active tectonic zone because three large plates of the world and nine other small plates meet each other in the region of Indoensia. Interaction between these plates places the territory of Indonesia as very vulnerable area to earthquake disaster. The quake has claimed thousands of lives and caused thousands more to evacuate. Earthquake victims who are required to evacuate need relief goods in order to survive. To determine the type and amount of relief goods needed, Oktarina (2016) conducted a study to develop a prediction model of emergency relief supplies for earthquake disaster. However, the application of the model still uses manual calculations so it takes a long time, prone to miscalculation, and inflexible to changes. Therefore, this study focuses on designing a decision support system (DSS) that is able to help solving the problem. <br /> <br /> <br /> The design process of the DSS starts with assessing the object of research, making decision-making procedures, and identifying the functional and non-functional needs of the DSS design. Next, the study conduct the design process of the conceptual system, including model management subsystem, data management subsystem, and user-interface subsystem. DSS uses a reference model in the form of a model developed by Oktarina (2016), while data management is done with a driven model approach. The user-interface subsystem is designed by first describing the concept of DSS usage through flowchart and designing operational system using Visual Basic Express and Microsoft Access. <br /> <br /> <br /> The trial against DSS was done using the data from Padang City earthquake in 2009 obtained from research done by Oktarina (2016). Based on the experiment, it can be concluded that the calculation algorithm on DSS is able to run correctly. In addition, the test results also show that the operational design and devices of DSS are in line with functional requirements and non-functional requirements. Based on the analysis, SPK implementation does not require specific hardware and software, so the system is easy to implement. In addition, the implementation of the DSS will have a positive impact, which is short calculation time, minimization of calculation errors, minimization of costs, and improvement of the performance and variation of alternative decision generated.