Open AccessRequirements analysis for the disaster logistics inventory information system to improve the effectiveness and efficiency of handling emergency response periods
Author(s) -
Naniek Utami Handayani,
Diana Puspita Sari,
Yusuf Widharto,
G Basyir
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/703/1/012047
Subject(s) - computer science , information system , process (computing) , process management , functional requirement , quality (philosophy) , risk analysis (engineering) , requirements analysis , product (mathematics) , operations research , business , engineering , software engineering , philosophy , geometry , mathematics , epistemology , electrical engineering , operating system , software , programming language
The exact specifications of system requirements are very important factors in the system development process. Any deficiency at this stage will affect the quality of the output of the information system developed. Therefore, system analysts must focus on how requirements are defined and modeled. Building a new information system is a complex process that consists of many steps that must be done before the final product is prepared for the customer. It is important to meet the needs and expectations of customers to maintain project sustainability in the future. There are several approaches to develop new information systems in which different strategies, methodology, modeling techniques or life cycles can be used. This study aims to analyze the need for the development of a website-based disaster logistics inventory information system. This research produces an analysis of information system requirements both from functional and non functional aspects. Based on functional analysis obtained the minimum specifications that must be owned by information systems, while the non-functional analysis obtained the minimum data needs to run a website-based disaster logistics inventory information system.