How to cite this paper
Afif, M. (2023). Exploring the quality of the higher educational institution website using data mining techniques.Decision Science Letters , 12(2), 279-290.
Refrences
Abu Saa, A., Al-Emran, M., & Shaalan , K. (2019). Factors affecting students’ performance in higher education: a systematic review of predictive data mining techniques. Technology, Knowledge and Learning, pp. 567-598.
Ahmad, A., & Khan, M. N. (2017). Developing a website service quality scale: A confirmatory factor analytic approach. Journal of internet Commerce, 16(1), 104-126.
Al-Hagery, M. A., Alzaid, M. A., Alharbi , T. S., & Alhanaya, M. A. (2020). Data mining methods for detecting the most significant factors affecting students’ performance. International Journal of Information Technology and Computer Science, 1--13.
Al-Omar, K. (2018). Evaluating the Usability and Learnability of the" Blackboard" LMS Using SUS and Data Mining. In 2018 Second International Conference on Computing Methodologies and Communication (ICCMC) (pp. 386--390). IEEE.
Andalib, Z., & Danaee, H. (2013). A study on measuring the quality of university website. Management Science Letters, 3(7), 1955-1960.
Barnes , S., & Vidgen, R. (2000). WebQual: an exploration of website quality. ECIS 2000 proceedings, (p. 7).
Barnes, S. J., & Vidgen, R. T. (2002). An integrative approach to the assessment of e-commerce quality. Journal of Electronic Commerce Research, 3(3), 114-127.
Barraood, S. O. (2016). Quality Evaluation Model Of Yemeni Universities Websites From Students Perspectives (Master Thesis). University Utara Malaysia.
Boza, B. C., Schiaffino, S., Teyseyre, A., & Godoy, D. (2014). An Approach for Knowledge Discovery in a Web Usability Context. In Proceedings of the 13th Brazilian Symposium on Human Factors in Computing Systems.
Budiman, E., Puspitasari, N., Taruk, M., & Maria, E. (2020). Webqual 4.0 and ISO/IEC 9126 Method for website quality evaluation of higher education. The 2nd International Conference on Applied Science and Technology (iCAST) .
Chiew, T. K., & Salim, S. S. (2003). Webuse: Website usability evaluation tool. Malaysian Journal of Computer Science, 47-57.
El-Halees, A. M. (2014). Software Usability Evaluation Using Opinion. Journal of software, 9(2).
Frisdiantara, C., Qamar, K., Ardian, Y., & Rahman , E. F. (2020). The effect of website quality using webqual 4.0 method on student's decision in registering at university of Kanjuruhan malang. In Proceedings of the International Conference on Industrial Engineering and Operations Management. Dubai. Dubai.
Gupta, M. K., & Chandra, P. (2020). A comprehensive survey of data mining. International Journal of Information Technology, 4(12), 243-1257.
Han, J., Pei, J., & Kamber, M. (2022). Data mining: concepts and techniques. Morgan Kaufmann.
Ismail , A., & Kuppusamy, K. (2018). Accessibility of Indian universities’ homepages: An exploratory study. Journal of King Saud University-Computer and Information Sciences, 268-278.
Kantardzic, M. (2011). Data mining: concepts, models, methods, and algorithms. John Wiley & Sons.
Karani, A., Thanki, H., & Achuthan, S. (2021). Impact of University website Usability on Satisfaction a Structural Equational Modeling approach. Management and Labour Studies, 46(2), 119-138.
LIN, B., Cassee, N., Serebrenik, A., Bavota, G., Novielli, N., & Lanza, M. (2022). Opinion mining for software development: a systematic literature review. ACM Transactions on Software Engineering and Methodology (TOSEM), 31(3), 1-41.
Peker, S., Kucukozer-Cavdar, S., & Cagiltay , K. (2016). Exploring the relationship between web presence and web usability for universities: a case study from Turkey. Program electronic library and information systems, 157--174.
Rante, R. R., Fauzan, M., & Hermawan, H. (2020). Website Quality Measurement of Higher Education Services Institution Region IV Using Webqual 4.0 Method. International Journal of Advances in Data and Information Systems, 1(2), 89-102. doi:https://doi.org/10.25008/ijadis.v1i2.185
Rashida, M., Islam, K., Kayes, A., Hammoudeh, M., Arefin, M. S., & Habib, M. A. (2021). Towards developing a framework to analyze the qualities of the university websites. Computers, 1-16.
Sagar, K., & Saha, A. (2016). Enhancing Usability Inspection Through Data-Mining Techniques An Automated Approach for Detecting Usability Problem Patterns of Academic Websites. In International Conference on Intelligent Human Computer Interaction, IHCI 2016. Lecture Notes in Computer Science. 10127, pp. 229-247. Springer, Cham. doi:https://doi.org/10.1007/978-3-319-52503-7_19
Sagar, K., & Saha, A. (2017). Qualitative usability feature selection with ranking a novel approach for ranking the identified usability problematic attributes for academic websites using data-mining techniques. Human-centric Computing and Information Sciences, 1-24.
Semerádová, T., & Weinlich, P. (2020). Website quality and shopping behavior: Quantitative and qualitative evidence. Springer.
Sutanto, N. H., Kusrini, K., & Nasiri, A. (2021). UNIVERSITY SERVICE WEBSITE QUALITY MEASUREMENT WITH WEBQUAL 4, 0 (CASE STUDY: FACULTY OF BUSINESS AND ECONOMICS ISLAMIC UNIVERSITY OF INDONESIA. Jurnal Riset Informatika, 3(3), 225-232. doi:https://doi.org/10.34288/jri.v3i3.231
Yağcı, M. (2022). Educational data mining: prediction of students' academic performance using machine learning algorithms. Smart Learning Environments, pp. 1-19.
Ahmad, A., & Khan, M. N. (2017). Developing a website service quality scale: A confirmatory factor analytic approach. Journal of internet Commerce, 16(1), 104-126.
Al-Hagery, M. A., Alzaid, M. A., Alharbi , T. S., & Alhanaya, M. A. (2020). Data mining methods for detecting the most significant factors affecting students’ performance. International Journal of Information Technology and Computer Science, 1--13.
Al-Omar, K. (2018). Evaluating the Usability and Learnability of the" Blackboard" LMS Using SUS and Data Mining. In 2018 Second International Conference on Computing Methodologies and Communication (ICCMC) (pp. 386--390). IEEE.
Andalib, Z., & Danaee, H. (2013). A study on measuring the quality of university website. Management Science Letters, 3(7), 1955-1960.
Barnes , S., & Vidgen, R. (2000). WebQual: an exploration of website quality. ECIS 2000 proceedings, (p. 7).
Barnes, S. J., & Vidgen, R. T. (2002). An integrative approach to the assessment of e-commerce quality. Journal of Electronic Commerce Research, 3(3), 114-127.
Barraood, S. O. (2016). Quality Evaluation Model Of Yemeni Universities Websites From Students Perspectives (Master Thesis). University Utara Malaysia.
Boza, B. C., Schiaffino, S., Teyseyre, A., & Godoy, D. (2014). An Approach for Knowledge Discovery in a Web Usability Context. In Proceedings of the 13th Brazilian Symposium on Human Factors in Computing Systems.
Budiman, E., Puspitasari, N., Taruk, M., & Maria, E. (2020). Webqual 4.0 and ISO/IEC 9126 Method for website quality evaluation of higher education. The 2nd International Conference on Applied Science and Technology (iCAST) .
Chiew, T. K., & Salim, S. S. (2003). Webuse: Website usability evaluation tool. Malaysian Journal of Computer Science, 47-57.
El-Halees, A. M. (2014). Software Usability Evaluation Using Opinion. Journal of software, 9(2).
Frisdiantara, C., Qamar, K., Ardian, Y., & Rahman , E. F. (2020). The effect of website quality using webqual 4.0 method on student's decision in registering at university of Kanjuruhan malang. In Proceedings of the International Conference on Industrial Engineering and Operations Management. Dubai. Dubai.
Gupta, M. K., & Chandra, P. (2020). A comprehensive survey of data mining. International Journal of Information Technology, 4(12), 243-1257.
Han, J., Pei, J., & Kamber, M. (2022). Data mining: concepts and techniques. Morgan Kaufmann.
Ismail , A., & Kuppusamy, K. (2018). Accessibility of Indian universities’ homepages: An exploratory study. Journal of King Saud University-Computer and Information Sciences, 268-278.
Kantardzic, M. (2011). Data mining: concepts, models, methods, and algorithms. John Wiley & Sons.
Karani, A., Thanki, H., & Achuthan, S. (2021). Impact of University website Usability on Satisfaction a Structural Equational Modeling approach. Management and Labour Studies, 46(2), 119-138.
LIN, B., Cassee, N., Serebrenik, A., Bavota, G., Novielli, N., & Lanza, M. (2022). Opinion mining for software development: a systematic literature review. ACM Transactions on Software Engineering and Methodology (TOSEM), 31(3), 1-41.
Peker, S., Kucukozer-Cavdar, S., & Cagiltay , K. (2016). Exploring the relationship between web presence and web usability for universities: a case study from Turkey. Program electronic library and information systems, 157--174.
Rante, R. R., Fauzan, M., & Hermawan, H. (2020). Website Quality Measurement of Higher Education Services Institution Region IV Using Webqual 4.0 Method. International Journal of Advances in Data and Information Systems, 1(2), 89-102. doi:https://doi.org/10.25008/ijadis.v1i2.185
Rashida, M., Islam, K., Kayes, A., Hammoudeh, M., Arefin, M. S., & Habib, M. A. (2021). Towards developing a framework to analyze the qualities of the university websites. Computers, 1-16.
Sagar, K., & Saha, A. (2016). Enhancing Usability Inspection Through Data-Mining Techniques An Automated Approach for Detecting Usability Problem Patterns of Academic Websites. In International Conference on Intelligent Human Computer Interaction, IHCI 2016. Lecture Notes in Computer Science. 10127, pp. 229-247. Springer, Cham. doi:https://doi.org/10.1007/978-3-319-52503-7_19
Sagar, K., & Saha, A. (2017). Qualitative usability feature selection with ranking a novel approach for ranking the identified usability problematic attributes for academic websites using data-mining techniques. Human-centric Computing and Information Sciences, 1-24.
Semerádová, T., & Weinlich, P. (2020). Website quality and shopping behavior: Quantitative and qualitative evidence. Springer.
Sutanto, N. H., Kusrini, K., & Nasiri, A. (2021). UNIVERSITY SERVICE WEBSITE QUALITY MEASUREMENT WITH WEBQUAL 4, 0 (CASE STUDY: FACULTY OF BUSINESS AND ECONOMICS ISLAMIC UNIVERSITY OF INDONESIA. Jurnal Riset Informatika, 3(3), 225-232. doi:https://doi.org/10.34288/jri.v3i3.231
Yağcı, M. (2022). Educational data mining: prediction of students' academic performance using machine learning algorithms. Smart Learning Environments, pp. 1-19.