Dashboard Cuaca Emotif: Menyajikan Data Meteorologi melalui Emotikon Ekspresif

Abstract

Rapid weather changes are often difficult for general users to understand when the information is presented only in numerical and textual form. This study designs and develops the Emotive Weather Dashboard, a web-based system that visualizes meteorological data using expressive emoticons. The emoticons represent weather conditions—such as rain, clear skies, or wind—in a format that is more intuitive and easier to recognize. The research employs a system development method that includes collecting weather data through an API, interface design, system flow modeling, prototype development, and display testing across multiple devices. The results show that emoticons help users interpret weather conditions more quickly without reading technical details. In addition, the dashboard offers features such as login, homepage, and data panels that present temperature, humidity, wind speed, and sky conditions visually. These findings indicate that emotive visual approaches can enhance users’ understanding of weather information, especially for non-technical audiences. The study recommends implementing more adaptive emoticons and integrating predictive analysis in future development.