The Effect Of Design Type, Color Composition, And Time Interval On The Usability Of Streamgraph And Line Chart Visualization (Case Study: Covid-19 Data).

Daniswari, Thiffa Azhara (2022) The Effect Of Design Type, Color Composition, And Time Interval On The Usability Of Streamgraph And Line Chart Visualization (Case Study: Covid-19 Data). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

For the past 2 years, an outbreak called COVID-19 took the globe off surprise. The spread of COVID-19 is growing rapidly, the number of the confirmed case, and death case increased every single day as well as the number of the data growth. According to Olshanikkova et al., (2015), dealing with data is more effective in presenting analysis results through visualization. Data visualization is also used to prevent the spread of COVID-19 by raising the society awareness. However, choosing the right type of visualization might be difficult, but it all starts with two simple questions: what the desired message is and who is the target audience (Sinar, 2018). Therefore, perceivable data visualization is necessary to minimize the information distortion for the society. This study is done to determine the usability of streamgraph and line chart using the different color composition, and time interval in the same criteria of COVID-19 data. The experiment conducted using eye-tracker and System Usability Scale (SUS) questionnaire to obtain objective and subjective output. Response time, numbers of error, time to first fixation, and number of fixations are used as the quantitative parameters. There are two scenarios involving time pressure to know which visualization is easiest one to be accepted by human cognitive aspects. The study shows that visualization type, time interval, and color composition give significant impact to the response time, fixation count, and time to first fixation. The lower the response time, fixation count, and time to first fixation, the better the usability. According to the results, line chart 7-rolling days with contrast color has the best usability among the others visualization combinations with the SUS score 63.41 in a “Good” adjective range, and in “Marginal Low” acceptability range.

Item Type:	Thesis (Other)
Additional Information:	RSI 658.834 2 Dan e-1 2022
Uncontrolled Keywords:	Data Visualization, COVID-19, Usability, Eye-Tracker, System Usability Scale.
Subjects:	H Social Sciences > HB Economic Theory > HB801 Consumer behavior.
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User:	Mr. Marsudiyana -
Date Deposited:	12 May 2026 08:43
Last Modified:	12 May 2026 08:43
URI:	http://repository.its.ac.id/id/eprint/133174

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