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All Journal JITTER (Jurnal Ilmiah Teknologi Informasi Terapan)
Isnanda Agafrilla
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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PERANCANGAN ULANG ANTARMUKA DAN PENGALAMAN PENGGUNA PADA VISUALISASI DATA WEBSITE UNITREND Isnanda Agafrilla; Margareta Hardiyanti
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 11 No. 1 (2024)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol11.iss1.2024.2369

Abstract

The advancement of industry and technology has created opportunities for businesses to turn data into valuable assets that drive growth. Data visualization serves as an effective solution to transform complex data into easily understandable information, thereby accelerating business processes and improving decision-making. The Institute for Policy Development (Poldev) at UGM developed UniTrend, a website that provides real-time public sector data to address the limitations of data access from the government. However, UniTrend's data presentation has yet to consider user-friendliness in reading graphs. This final project aims to address this issue by improving the quality of data visualization in terms of effectiveness and user experience. The resulting design is based on the principles of data-ink ratio and Gestalt principles. A total of nine visualizations from three different designs were tested through low-level tasks and the meCUE questionnaire. The test results showed that data-ink ratio design excelled in three aspects: usefulness by 75%, usability by 67%, overall evaluation by 63%, accuracy by 63%, and preference by 56%. Based on these results, data-ink ratio design demonstrated better overall performance compared to Gestalt principles design. Overall, the application of data-ink ratio and Gestalt principles successfully improved the effectiveness and user satisfaction in accessing information on UniTrend's website data visualizations
Co-Authors Margareta Hardiyanti