Quantifying quality of WEB site based on usability

Sastry, J. K. R.; Sreenidhi, N; Sasidhar, K

doi:10.14419/ijet.v7i2.7.10606

“…Sastry JKR et al [30] assert that various factors determine a product's quality, including content, structure, navigation, multimedia, and usability. To provide new viewpoints for website evaluation, website quality is discussed from several angles [31][32][33][34][35][36][37][38][39][40][41][42][43][44]. However, none of the research has addressed how to gauge the websites' content's quality comprehensiveness.…”

Section: Related Workmentioning

confidence: 99%

Building an Expert System through Machine Learning for Predicting the Quality of a Website Based on Its Completion

Biyyapu,

Jammalamadaka,

Jammalamadaka

et al. 2023

Computers

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The main channel for disseminating information is now the Internet. Users have different expectations for the calibre of websites regarding the posted and presented content. The website’s quality is influenced by up to 120 factors, each represented by two to fifteen attributes. A major challenge is quantifying the features and evaluating the quality of a website based on the feature counts. One of the aspects that determines a website’s quality is its completeness, which focuses on the existence of all the objects and their connections with one another. It is not easy to build an expert model based on feature counts to evaluate website quality, so this paper has focused on that challenge. Both a methodology for calculating a website’s quality and a parser-based approach for measuring feature counts are offered. We provide a multi-layer perceptron model that is an expert model for forecasting website quality from the “completeness” perspective. The accuracy of the predictions is 98%, whilst the accuracy of the nearest model is 87%.

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“…[30] The size of web quality can be measured using: Accessibility, Currency, Accuracy and Credibility, can also be measured using information quality: Relevancy, Sufficiency, Understandability, Customer service efficiency: Careful, Continuous, Ease of navigation, Content layout, Ease of use. [8], [31], [32].…”

Section: Literature Reviewmentioning

confidence: 99%

The Orientation of Entrepreneurship : Determinant And Impact For Young Entrepreneurship Performance with Web

Nugraheni¹,

Elida²,

Misdiyono³

2021

Proceedings of the 3rd Beehive International Social Innovation Conference, BISIC 2020, 3-4 October 2020, Bengkulu, Indonesia

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This study investigates the relationship of personal characteristics for online entrepreneur, internal environment and external environment to the orientation online entrepreneur and business performance. This study also analyzed the role of web quality on the relationship of business orientation and entrepreneurial performance. Data used are primary data, collected through questionnaires to online entrepreneurship students at 4 Universities in Jakarta, Bogor, Depok, Tangerang and Bekasi. The sample size taken is 273 online entrepreneurship students. Data processed descriptively, and using SEM (Structural Equation Modeling) AMOS 23 Program. The results indicate that the characteristics of personal, internal environment and external environment have a positive effect on the orientation of the online entrepreneur. Furthermore, the online student orientation has a positive effect on the performance with the quality of the web as a moderating variable.

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“…Website quality theory (WebQual) is one method of measuring website quality developed by Barnes and Vidgen [30]. The size of web quality can be measured using: Accessibility, Currency, Accuracy and Credibility, can also be measured using information quality: Relevancy, Sufficiency, Understandability, Customer service efficiency: Careful, Continuous, Ease of navigation, Content layout, Ease of use [8], [31], [32].…”

Section: Entrepreneur Characteristic Performance and Web Qualitymentioning

confidence: 99%

The Orientation of Entrepreneurship: Determinant and Impact for Young Entrepreneurship Performance with Web

Nugraheni¹,

Elida²,

Misdiyono³

2021

Proceedings of the 3rd Beehive International Social Innovation Conference, BISIC 2020, 3-4 October 2020, Bengkulu, Indonesia

0

View full text Add to dashboard Cite

This study investigates the relationship of personal characteristics for online entrepreneur, internal environment and external environment to the orientation online entrepreneur and business performance. This study also analyzed the role of web quality on the relationship of business orientation and entrepreneurial performance. Data used are primary data, collected through questionnaires to online entrepreneurship students at 4 Universities in Jakarta, Bogor, Depok, Tangerang and Bekasi. The sample size taken is 273 online entrepreneurship students. Data processed descriptively, and using SEM (Structural Equation Modeling) AMOS 23 Program. The results indicate that the characteristics of personal, internal environment and external environment have a positive effect on the orientation of the online entrepreneur. Furthermore, the online student orientation has a positive effect on the performance with the quality of the web as a moderating variable.

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Quantifying quality of WEB site based on usability

Cited by 7 publications

References 3 publications

Building an Expert System through Machine Learning for Predicting the Quality of a Website Based on Its Completion

Building an Expert System through Machine Learning for Predicting the Quality of a Website Based on Its Completion

The Orientation of Entrepreneurship : Determinant And Impact For Young Entrepreneurship Performance with Web

The Orientation of Entrepreneurship: Determinant and Impact for Young Entrepreneurship Performance with Web

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