38 research outputs found

    Studi Pengaruh Empat Faktor Tipografi terhadap Waktu Pencarian Kata pada Layar Komputer

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    This study aims to investigate the effect of font type, font size, line spacing and text background colour on visual search of “a predetermined word”. The study used a multifactorial experiment with four factors and 48 combinations. A number of 20 female undergraduate students participated in this study and their response time for each treatment combination was recorded. Anova test results showed that there were significant effect of font type (F=2.72, p=0.042) and font size (F=8.14, p=0.004) to the response time of subject. Further analysis using ANOM chart showed that verdana for font type and 12 pt for font size provide the fastest response time. Results of this study could be used by web designers for the production of web pages so that it will optimize interaction with the users

    Studi Pengaruh Empat Faktor Tipografi terhadap Waktu Pencarian Kata pada Layar Komputer

    Get PDF
    This study aims to investigate the effect of font type, font size, line spacing and text background colour on visual search of “a predetermined word”. The study used a multifactorial experiment with four factors and 48 combinations. A number of 20 female undergraduate students participated in this study and their response time for each treatment combination was recorded. Anova test results showed that there were significant effect of font type (F=2.72, p=0.042) and font size (F=8.14, p=0.004) to the response time of subject. Further analysis using ANOM chart showed that verdana for font type and 12 pt for font size provide the fastest response time. Results of this study could be used by web designers for the production of web pages so that it will optimize interaction with the users

    Mobile Application Development to Measure Smartphone Screen Readability

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    This study aimed to develop an application which can be used to measure the response time needed by subjects to find a set of predetermined “words” in order to determine the level of readability of smartphone screen. The development steps began with concept development, interface design and software testing and verification. The results of this study is a software which can be used for typography experiment in which the subject is asked to find a predetermined word. The software could be used for the experiment of 4 typography factors i.e font style (FS), font size (FZ), contrast (CT), and screen rotation (SR). This software could be used for the 5x3x2x2 factorial experiment with 60 combinations. The response time of subject for each treatment combination has been computed and saved in the smartphone. Finally, the response time could be used to determine the best combination of factor and level factor for readability of smartphone screen

    Mobile Application Development to Measure Smartphone Screen Readability

    Get PDF
    This study aimed to develop an application which can be used to measure the response time needed by subjects to find a set of predetermined “words” in order to determine the level of readability of smartphone screen. The development steps began with concept development, interface design and software testing and verification. The results of this study is a software which can be used for typography experiment in which the subject is asked to find a predetermined word. The software could be used for the experiment of 4 typography factors i.e font style (FS), font size (FZ), contrast (CT), and screen rotation (SR). This software could be used for the 5x3x2x2 factorial experiment with 60 combinations. The response time of subject for each treatment combination has been computed and saved in the smartphone. Finally, the response time could be used to determine the best combination of factor and level factor for readability of smartphone screen

    Mobile Application Development to Measure Smartphone Screen Readability

    Get PDF
    This study aimed to develop an application which can be used to measure the response time needed by subjects to find a set of predetermined “words” in order to determine the level of readability of smartphone screen. The development steps began with concept development, interface design and software testing and verification. The results of this study is a software which can be used for typography experiment in which the subject is asked to find a predetermined word. The software could be used for the experiment of 4 typography factors i.e font style (FS), font size (FZ), contrast (CT), and screen rotation (SR). This software could be used for the 5x3x2x2 factorial experiment with 60 combinations. The response time of subject for each treatment combination has been computed and saved in the smartphone. Finally, the response time could be used to determine the best combination of factor and level factor for readability of smartphone screen

    Studi Pengaruh Empat Faktor Tipografi terhadap Waktu Pencarian Kata pada Layar Komputer

    Get PDF
    This study aims to investigate the effect of font type, font size, line spacing and text background colour on visual search of “a predetermined word”. The study used a multifactorial experiment with four factors and 48 combinations. A number of 20 female undergraduate students participated in this study and their response time for each treatment combination was recorded. Anova test results showed that there were significant effect of font type (F=2.72, p=0.042) and font size (F=8.14, p=0.004) to the response time of subject. Further analysis using ANOM chart showed that verdana for font type and 12 pt for font size provide the fastest response time. Results of this study could be used by web designers for the production of web pages so that it will optimize interaction with the users

    An Efficient Web Usage Mining Approach Using Chaos Optimization and Particle Swarm Optimization Algorithm Based on Optimal Feedback Model

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    The dynamic nature of information resources as well as the continuous changes in the information demands of the users has made it very difficult to provide effective methods for data mining and document ranking. This paper proposes an efficient particle swarm chaos optimization mining algorithm based on chaos optimization and particle swarm optimization by using feedback model of user to provide a listing of best-matching webpages for user. The proposed algorithm starts with an initial population of many particles moving around in a D-dimensional search space where each particle vector corresponds to a potential solution of the underlying problem, which is formed by subsets of webpages. Experimental results show that our approach significantly outperforms other algorithms in the aspects of response time, execution time, precision, and recall
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