7th North American International Conference on Industrial Engineering and Operations Management

Design of a Food Sharing App Using Kansei Engineering and Fuzzy Linguistic Methods

Perdana Suteja Putra & Amalia Suzianti
Publisher: IEOM Society International
0 Paper Citations
1 Views
1 Downloads
Track: Sustainability
Abstract

COVID19 has a negative impact on Indonesia's economic stability; therefore, people must assist and share with one another, particularly in the area of food procurement. Despite its high hunger rate, Indonesia ranks 12th in the world in terms of food waste production. A user-friendly food sharing application is required to overcome this phenomenon. As a result, Kansei Engineering is used in this study to design applications that capture users' emotional needs, as well as a fuzzy approach to explain user feature requirements in applications. In addition, the prototype was tested for performance and usability with a System Usability Scale (SUS) questionnaire to determine the best design for the user. Thus, the purpose of this research is to discover how to design a food sharing application using kansei engineering and how the features required are based on a fuzzy approach. According to the findings of this study, the application will be designed with the following feelings in mind: beautiful, calm, clear, fun, futuristic, impressive, light, neat, refreshing, simple, sophisticated, and unique. Meanwhile, the application features are based on fuzzy logic on five main features: communication system, reward system, payment system, food description system, and retrieval system. Usability and performance tests revealed that the application with the "cool concept" was the recommended design, with higher efficiency and satisfaction scores than the other design concepts.

Published in: 7th North American International Conference on Industrial Engineering and Operations Management, Orlando, USA

Publisher: IEOM Society International
Date of Conference: June 11-14, 2022

ISBN: 978-1-7923-9158-3
ISSN/E-ISSN: 2169-8767