INTERACTION DESIGN OF SOCIAL NETWORK ANALYSIS ANTI HOAX CHATBOT

• Main Author: Daniel, Ryan
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/69193
• Institution: Institut Teknologi Bandung

The increasing use of social media has led to an increase in the spread of hoaxes in Indonesia. The number of hoax spreads in Indonesia is very high even though there are already several anti- hoax applications that are provided for Indonesians for free. The applications that are supposed to reduce the spread of hoaxes weren’t used because they have several problems such as users don’t want to use the application because they think that the applications are troublesome for them and the users feel the applications would be difficult for them and force them to learn a lot. Therefore, this final project aims to create an interaction design that can overcome these users problems to increase users interest in using the anti-hoax application. So, in the end, the number of hoaxes in Indonesia can be reduced. User needs and preferences for the anti-hoax application interaction design are determined through research using questionnaire and interview methods. The platform that is chosen as the solution is a chatbot on the Whatsapp application. The method that is used to design the anti-hoax chatbot’s interaction design is user-centered design, so the focus is on the user needs and problems. The output of this final project is a high-fidelity prototype that meets the usability goals which are effective to use and easy to learn and the user experience goals which is helpful. The achievement of the usability goals and user experience goals was measured quantitatively with metrics completion rate, Single Ease Question (SEQ), System Usability Scale (SUS), Chatbot Usability Questionnaire (CUQ), and Intrinsic Motivation Inventory (IMI) with subscale value/usefulness. The result of the usability testing shows that the interaction design already has a good design and meets the usability goals and user experience goals that has been determined with a completion rate of 100%, SEQ 6.7 out of 7, SUS 87.7 out of 100, CUQ 89 out of 100, and IMI 6 ,4 out of 7. So, it can be concluded that the SNA ITB Anti Hoax Chatbot’s interaction design can solve user problems and meet the user needs.