An Evaluation of Online Media in The Covid Coverage Based on Smart Visual Design
Vivi Varlina, Yasraf Amir Piliang, Ruly Darmawan, Tri Sulistyaningtyas

Faculty of Arts and Design (FSRD), ITB

Abstract

In the last two decades, the scope of the Internet of things (IoT) has developed into a popular topic of research. One of the rapidly growing entities in this era is the dissemination of information through online media. Interestingly, most disciplines discuss technological devices and how systems work digitally. Not many explore IoT and online media in the subject of design. This study discusses that online media is no longer just presenting information, but it is very necessary to elaborate the IoT paradigm with smart visual design. The research focuses on an online media portal that specifically reports information about Covid. The purpose of this research is to explore how an online media can configure information of COVID through design elements. The research method used is semantic differential, which examines various psychological aspects that owned by audience when they see visual image about Covid, which is represented in signs. This article in a semantic perspective provides a synthesis that a number of information that collaborates in the IoT paradigm represent various meanings, are integrated, and form a particular algorithm. Specifically in design analysis, the IoT paradigm and visual elements will lead to its own discursive construction and have unique affordability. This model forms new knowledge that is useful for decision making or strategic policy formulation.

Keywords: Internet of Things- Smart Visual Design- Semantic Differential- Visual Image - Covid

Topic: Theory and Design