The purpose of this research is to determine the level of readability of the respondent, based on the respond time, score of the right answer, and preference of respondents in reading text with a combination of factors and level factor research. Factors and levels factors that have been researched are font type (Times New Roman, Georgia, Arial, and Verdana), font size (9 and 11 pt), spacing (1 and 1.5) and background color contrast (CBG1 and CBG2 with code #080083 on #EDEFF7 and #828282 on #ffffff). Each factor creates 32 combinations of the font characteristics.
Data collection was conducted on 55 respondents using the research instrument in the form of sheet pre-tests, software for readability testing, and
sheets of evaluation preference. The experimental results for respond time are evaluated by using four-factors ANOVA in Minitab 14 to determine the factors and interactions among the influencing factors. Then, the data of the respond time, objective score, and preference scores are ranked in order to determine which combination of font characteristics are the best in each measure points of readability level.
Based on the readability respond time data processing with ANOVA is known P-Value of each factors that the font type factor (P-Value = 0.000), font size factor (P-Value = 0.046), spacing factor (P-Value = 0.478), and background color contrast factor (P -Value = 0.003). ANOVA test results showed that only spacing factor which does not give significant influence on readability of a person
against font characteristics that have been researched. The best combination for the fastest respond time and highest score is an objective test are Arial- 9 pt–1.5 space –CBG2 and Times New Roman- 11 pt -1 space -CBG 2. Based on the
preferences of respondents, the best combination is Verdana- 11 pt- 1.5 spaces- CBG 1 (# 080 083 on # EDEFF7). Based on P-Value from ANOVA, the result of this research shows us that the font characteristics affect the readability of a person. Moreover, the combination of font characteristics gives different effect to male and female respondents. The combination of font characteristics is also giving different effect to the group of respondent with a high, good, fair, and low
score of the pre-test. |