Website is a necessity for organizations to enable users worldwide to access their information and gain a competitive edge over others. The diversity of websites makes assessing website quality a difficult task. The aim of this paper is to identify the issues faced in the quality evaluation of university websites, the models and the factors used for evaluating university website quality. Systematic literature review was used to identify and synthesize related scholarly research papers. Findings show that there is a lack of study on university website quality compared to business websites; website designers did not have the appropriate knowledge on the interface design; and the website quality evaluation is complex since there is no specific evaluation model. Webqual 4.0 model was used to evaluate the quality of universities' websites. From 24 studies, initially 79 quality factors were extracted. After performing comparison, filtration and memoing, six quality factors were identified: information quality, specific content, usability, web appearance, service interaction quality, and functionality. This study makes a useful contribution in developing university website quality model by extending the Webqual 4.0 model.
The increased trend to use websites for various purposes has also increase in different domains such
as education, health, government and business. Organizations seeking to obtain benefits from their
websites need to create and maintain websites that are successful in supporting the interaction and
communication of the organization with their users. The main goal of this paper is to design the website
evaluation framework for academic websites. For this purpose the study of academic websites, website
quality models and their quality factors. A new quality evaluation framework consisting of five high level
quality factors namely: Usability, Content, Presentation, Functionality and Reliability
EVALUATING THE INTERNAL AND EXTERNAL USABILITY ATTRIBUTES OF E-LEARNING WEBSI...acijjournal
ABSTRACT
Web usability is important for users who depend on the websites they use, such as online distance education students. Accordingly, universities and educational websites need to determine the types of usability problems that occur on their websites. However, far too little attention has been paid to providing mdetailed information regarding the types of specific usability problems that occur on e-learning websites in general and on those in the Kingdom of Saudi Arabia (KSA) in particular. The aim of this paper was to study and analyse the internal and external usability attributes of university websites that offer distance education courses in Saudi Arabia. Twelve universities in Saudi Arabia were considered—11 governmentaffiliateduniversities and one private university. The analysis of the data indicates the level of usability of distance education websites. Results reveal that in Saudi Arabia, distance education websites are reliable but violate basic usability guidelines. Furthermore, Saudi e-learning websites need to focus on the utility of
their home page search engines, provide more advanced search functionality, and provide sitemaps linked to every page on the websites.
In recent times, higher education institutions have been paying close attention to student opinions about the
experience of learning and teaching through internal surveys. The online feedback system is a web-based application
that provides students' feedback to college’s base online. This online system is a good place to find the kind of feedback
you need and it is efficient to get feedback analysis. Students provide feedback online through the use of a standard
designed form. In the proposed system, security is included, the result of which is visible only to accredited users. Online
feedback is an indispensable feature of evaluating effective and efficient teaching and learning methods. Report is made
in the proposed system for creating and the semantic web seeks to recreate the existing web concept that will enable us.
Advanced automation of web content, so that data can be distributed and processed by humans and software.
Evaluating Perceived Quality of B-School WebsitesIOSR Journals
Websites are a window for the world for looking in most of the Information and a gateway for many activities. Websites are not only a necessity but also mandatory for B-Schools. A B-School Website serves as portal to all stakeholders in addition to being an information placeholder. The Websites serves from being an administrative tool to a Learning Management system. The utility and the effectiveness of website depend on the quality of the service it provides to the surfer. A study was undertaken to survey the various features of a B-School Website that could serve as a Quality Function Deployment (QFD) touchstones. In addition, the influence of perceived quality on the user satisfaction was also studied. A focus group of B-School Students evaluated the Websites and scored a checklist cum questionnaire. The results highlight the most frequently found features and the least found features of a B-School Website. The factors that are important for creating a quality website are also found. This study will help the B-school administrators and the Website designers to create a quality and satisfying Websites.
University Website Quality Ranking using Logarithmic Fuzzy Preference Program...IJECEIAES
The current tight competition in developing University websites forces developers to create better products that meet users needs and convinient. There are at least two factors representing university websites; accessibility and usability. We test three criteria of accessibility and usability that are called stickiness, backlink, and web page loading time. Usability and accessibility are closely related to subjective user judgments. Human judgment cannot be valid. Thus the use of fuzzy numbers are expected to provide solutions in calculating the results. In this research, the question of usability is a multi criteria decision-making problem that is caused by its complex structure. We use the Logarithmic Fuzzy Preference Programming (LFPP) method, which is a refinement of the Fuzzy Analytical Hierarchy Process method, to solve this problem. This research aims to re- assess the rank of five Indonesian university websites. Based on LFPP method, we obtain that the equation of model gets high consistency of the set priority matching to fuzzy pairwise comparison matrix of three selection criteria. The calculation results show that stickiness is the most significant factor that affects the quality of the websites.
A Fuzzy Expert System for Assessing the InternetStores Based on Web Site Attr...IDES Editor
Purpose of this research is determining the success
of online shopping stores by an intelligent system. Here a
Fuzzy Expert System has been designed with the consideration
of website attributes as input variables. The web site success
level is determined in this system as output.
The rules of systems have been extracted from some ecommerce
experts and the systems have been developed with
the use of FIS tool of MATLAB software. The final result
contains an anticipating model for evaluating level of web
site success of shopping centers based on website factors
situation. The presented steps have been run in four online
bookstores as the empirical study.
The increased trend to use websites for various purposes has also increase in different domains such
as education, health, government and business. Organizations seeking to obtain benefits from their
websites need to create and maintain websites that are successful in supporting the interaction and
communication of the organization with their users. The main goal of this paper is to design the website
evaluation framework for academic websites. For this purpose the study of academic websites, website
quality models and their quality factors. A new quality evaluation framework consisting of five high level
quality factors namely: Usability, Content, Presentation, Functionality and Reliability
EVALUATING THE INTERNAL AND EXTERNAL USABILITY ATTRIBUTES OF E-LEARNING WEBSI...acijjournal
ABSTRACT
Web usability is important for users who depend on the websites they use, such as online distance education students. Accordingly, universities and educational websites need to determine the types of usability problems that occur on their websites. However, far too little attention has been paid to providing mdetailed information regarding the types of specific usability problems that occur on e-learning websites in general and on those in the Kingdom of Saudi Arabia (KSA) in particular. The aim of this paper was to study and analyse the internal and external usability attributes of university websites that offer distance education courses in Saudi Arabia. Twelve universities in Saudi Arabia were considered—11 governmentaffiliateduniversities and one private university. The analysis of the data indicates the level of usability of distance education websites. Results reveal that in Saudi Arabia, distance education websites are reliable but violate basic usability guidelines. Furthermore, Saudi e-learning websites need to focus on the utility of
their home page search engines, provide more advanced search functionality, and provide sitemaps linked to every page on the websites.
In recent times, higher education institutions have been paying close attention to student opinions about the
experience of learning and teaching through internal surveys. The online feedback system is a web-based application
that provides students' feedback to college’s base online. This online system is a good place to find the kind of feedback
you need and it is efficient to get feedback analysis. Students provide feedback online through the use of a standard
designed form. In the proposed system, security is included, the result of which is visible only to accredited users. Online
feedback is an indispensable feature of evaluating effective and efficient teaching and learning methods. Report is made
in the proposed system for creating and the semantic web seeks to recreate the existing web concept that will enable us.
Advanced automation of web content, so that data can be distributed and processed by humans and software.
Evaluating Perceived Quality of B-School WebsitesIOSR Journals
Websites are a window for the world for looking in most of the Information and a gateway for many activities. Websites are not only a necessity but also mandatory for B-Schools. A B-School Website serves as portal to all stakeholders in addition to being an information placeholder. The Websites serves from being an administrative tool to a Learning Management system. The utility and the effectiveness of website depend on the quality of the service it provides to the surfer. A study was undertaken to survey the various features of a B-School Website that could serve as a Quality Function Deployment (QFD) touchstones. In addition, the influence of perceived quality on the user satisfaction was also studied. A focus group of B-School Students evaluated the Websites and scored a checklist cum questionnaire. The results highlight the most frequently found features and the least found features of a B-School Website. The factors that are important for creating a quality website are also found. This study will help the B-school administrators and the Website designers to create a quality and satisfying Websites.
University Website Quality Ranking using Logarithmic Fuzzy Preference Program...IJECEIAES
The current tight competition in developing University websites forces developers to create better products that meet users needs and convinient. There are at least two factors representing university websites; accessibility and usability. We test three criteria of accessibility and usability that are called stickiness, backlink, and web page loading time. Usability and accessibility are closely related to subjective user judgments. Human judgment cannot be valid. Thus the use of fuzzy numbers are expected to provide solutions in calculating the results. In this research, the question of usability is a multi criteria decision-making problem that is caused by its complex structure. We use the Logarithmic Fuzzy Preference Programming (LFPP) method, which is a refinement of the Fuzzy Analytical Hierarchy Process method, to solve this problem. This research aims to re- assess the rank of five Indonesian university websites. Based on LFPP method, we obtain that the equation of model gets high consistency of the set priority matching to fuzzy pairwise comparison matrix of three selection criteria. The calculation results show that stickiness is the most significant factor that affects the quality of the websites.
A Fuzzy Expert System for Assessing the InternetStores Based on Web Site Attr...IDES Editor
Purpose of this research is determining the success
of online shopping stores by an intelligent system. Here a
Fuzzy Expert System has been designed with the consideration
of website attributes as input variables. The web site success
level is determined in this system as output.
The rules of systems have been extracted from some ecommerce
experts and the systems have been developed with
the use of FIS tool of MATLAB software. The final result
contains an anticipating model for evaluating level of web
site success of shopping centers based on website factors
situation. The presented steps have been run in four online
bookstores as the empirical study.
Study of Performance Appraisal System for Faculty Members in Selected Managem...ijtsrd
"Performance Appraisal provides a periodic review and evaluation of an individual’s job performance. Although the appraisal forms may only be completed once a year, the job of performance appraisal is continuous – sometimes daily and requires effective communication on both the part of the supervisor and the Respondent. The supervisor is ultimately responsible to make sure these conversations actually take place and are documented. It is essential that the supervisor hold all performance discussions and documentation in complete confidence. Every organization is having an objective towards optimum performance and the Respondent is the key in achieving it. It is necessary that the Respondents performance should reach optimality for the success of the organization. Many organizations are having performance appraisal systems to evaluate the effectiveness and efficiency of their Respondent using linguistic labels to their performance. In a production unit, Respondent performance is proportional to the quality and quantity of production, where as in case of educational institute there is no such direct tool available to evaluate the productivity of its faculty members. In judging efficiency of faculty members, often the institute deals with vague or imprecise data resulting to an inconsistence performance evaluation. This study has been particularly taken by the researcher to understand the present scenario of the institute performance appraisal system in these colleges. Researcher wants to find out the weather appraisal is really helping Respondents for the better future or not. Mr. Santosh V. Hasure | Mr. Viraj V. Jadhav ""Study of Performance Appraisal System for Faculty Members in Selected Management Institutes Affiliated to Shivaji University Kolhapur"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Fostering Innovation, Integration and Inclusion Through Interdisciplinary Practices in Management , March 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23069.pdf
Paper URL: https://www.ijtsrd.com/management/hrm-and-retail-business/23069/study-of-performance-appraisal-system-for-faculty-members-in-selected-management-institutes-affiliated-to-shivaji-university-kolhapur/mr-santosh-v-hasure"
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
The Management of Information Systems and Its Impact on the Quality of Servic...Eswar Publications
This study aimed to identify the impact of management information systems (MIS) techniques on the quality of services provided at the University of Tabuk from the perspective of students. To achieve the goals of the study, one question were developed and distributed on a random sample of 244 students at the University of Tabuk in the Kingdom of Saudi Arabia. The Statistical Package of Social Sciences (SPSS, V.16) was used to analyze the data of the question.
In the pursuit of achieving Oman Vision 2040, the Ministry of Labour is working tirelessly to invest optimally in the development of human capital in order to optimize the government performance. Therefore, the Ministry was assigned to develop a system for individual performance appraisal (one of the enablers of Oman Vision 2040) to serve as a model for governance performance. This is a new performance appraisal system in which the employees’ Objectives are identified relying on various sources including the annual Objectives of the government entity on which the Objectives are evaluated.
Software quality model based on development team characteristicsIJECEIAES
Many factors have a significant impact on producing high-quality software products. Development team members are among the most important factors. Paying attention to the quality from this perspective will be a good innovation in the software development industry. Given that team members play a very important role in software products, this study tries to focus specifically on team characteristics in software product quality and provide a qualitative model based on this. The required data were collected through observations and interviews with project managers and development team members in several companies under study. Then, data were analyzed through hierarchical analysis. According to the results, the use of this model led to the improvement of the software development process so that the team members were satisfied with it. Also, time management was improved, and the customer expressed his satisfaction with the use of this model. Finally, data analysis showed that this model may lead to faster product delivery.
Measuring the quality of e-commerce websites using analytical hierarchy processTELKOMNIKA JOURNAL
Improving website quality for e-commerce website is indispensable since it affects customer satisfaction. There are several aspects of website quality that should be considered. Unfortunately, what criteria that should be prioritized is still under research. This research aims to identify the priority of website quality criteria and incorporate these criteria to measure the quality of ten e-commerce websites in Indonesia using Analytical Hierarchical Process (AHP). This study interviews two experts to assign priority for each criterion. In the end, this study has found that availability is the uttermost aspect to consider. Furthermore, this study also found that OLX.com is the best Customer-to-Customer (C2C) e-commerce in Indonesia in terms of website quality. This research is useful for any e-commerce technical developer to improve his/her website in twofold: 1) criteria priority to improve the quality of C2C e-commerce websites and 2) website quality ranking of C2C e-commerce.
THE IMPLEMENTATION OF MODEL SERVICE ORIENTED ARCHITECTURE TO ANALYZE STUDENT ...AM Publications
The application of Service Oriented Architecture (SOA) model may integrate one information system to others. Also, SOA can handle the complexity of hardware platforms, software, and other services development in the college. There are many services systems exist in the university, for instance student satisfaction system by questionnaire. Student satisfaction is very important to be used as an evaluation of the college. Student satisfaction was analyzed using Importance Performance Analysis (IPA) by using quadrants for each competency. This study discusses the application of SOA and IPA model to analyze student satisfaction towards the course. Student satisfaction data was taken using questionnaires sent to the student satisfaction information system for 70 respondents for each course. It is found that sending the data using SOA and JavaScript Object Notation (JSON) is very efficient with the average value of page generation time for 1,5414 seconds. In addition, the analysis of student satisfaction towards each course is ranged from 3,72 to 4,09 with a satisfaction scale of 1 - 5. Therefore, the level of student satisfaction at the course is categorized in the satisfactory scale.
ACC 574 – Student Notes
(Prerequisite: ACC 562)
COURSE DESCRIPTION
This course focuses on the assurances given to financial statements and other documents by the independent auditor in the context of auditing organizations and their business strategies. It compares the traditional independent auditing procedures to those found in the emerging new audit process and risk models.
INSTRUCTIONAL MATERIALS
Required Resources
Hall, J. (2011). Information Technology Auditing (3rd ed.). Mason, OH: South-Western Cengage Learning.
Prentice, Robert, & Bredeson, Dean (2011). Student Guide to the Sarbanes-Oxley Act: What Business
Needs to Know Now That it is Implemented. Mason, OH: South-Western Cengage Learning. (Note: This is located in Week 1 of the course shell)
Supplemental Resources
Audit and Attest Standards, Including Clarified Standards (2012). Retrieved from: http://www.aicpa.org/Research/Standards/AuditAttest/Pages/audit%20and%20attest%20standards.aspx
Fan, Q., & Zhang, X. J. (2012). Accounting Conservatism, Aggregation, and Information Quality.
Contemporary Accounting Research, 29, 38-56.
McNeal, A. (2010). What’s your fraud IQ? Journal of Accountancy, 209(5), 50-52.
COURSE LEARNING OUTCOMES
1. Assess the impact of the Sarbanes-Oxley Act and other regulatory requirements on the ability of public accounting firms and professionals’ ability to provide advisory services.
2. Evaluate the conceptual framework model that links general controls, application controls, and financial data integrity, and the sufficiency related to establish internal controls.
3. Assess how security and controls processes related to networks, operating systems, and data management are designed and implemented to create sufficient controls over organizational assets.
4. Evaluate the factors that impact the risks, controls, and tests of controls related to information technology governance, including those related to outsourcing.
5. Explore various computer-assisted audit tools and techniques for auditing operating and database systems for establishing a control environment in various business environments.
6. Evaluate the key activities requirements that constitute the system development life cycle (SDLC).
7. Examine the objectives related to the effective implementation of transaction processing and financial reporting systems.
8. Analyze various fraud schemes, determine the implications for the audit, and identify fraud detection techniques.
9. Assess the risks and benefits of implementing operating systems, communication networks, Electronic Data Interchange, and PC-based accounting systems.
10. Evaluate auditing procedures and techniques to audit the revenue and expense cycles to meet various business requirements.
11. Examine Enterprise Resource Planning Systems and the auditing issues related to implementation and control.
12. Analyze issues related to automated procedures, internal control, and audit tests.
13. Use technology and information resources.
Topic Discovery of Online Course Reviews Using LDA with Leveraging Reviews He...IJECEIAES
Despite the popularity of the Massive Open Online Courses, small-scale research has been done to understand the factors that influence the teaching-learning process through the massive online platform. Using topic modeling approach, our results show terms with prior knowledge to understand e.g.: Chuck as the instructor name. So, we proposed the topic modeling approach on helpful subjective reviews. The results show five influential factors: “learn easy excellent class program”, “python learn class easy lot”, “Program learn easy python time game”, and “learn class python time game”. Also, research results showed that the proposed method improved the perplexity score on the LDA model.
Development of depth map from stereo images using sum of absolute differences...nooriasukmaningtyas
This article proposes a framework for the depth map reconstruction using stereo images. Fundamentally, this map provides an important information which commonly used in essential applications such as autonomous vehicle navigation, drone’s navigation and 3D surface reconstruction. To develop an accurate depth map, the framework must be robust against the challenging regions of low texture, plain color and repetitive pattern on the input stereo image. The development of this map requires several stages which starts with matching cost calculation, cost aggregation, optimization and refinement stage. Hence, this work develops a framework with sum of absolute difference (SAD) and the combination of two edge preserving filters to increase the robustness against the challenging regions. The SAD convolves using block matching technique to increase the efficiency of matching process on the low texture and plain color regions. Moreover, two edge preserving filters will increase the accuracy on the repetitive pattern region. The results show that the proposed method is accurate and capable to work with the challenging regions. The results are provided by the Middlebury standard dataset. The framework is also efficiently and can be applied on the 3D surface reconstruction. Moreover, this work is greatly competitive with previously available methods.
Model predictive controller for a retrofitted heat exchanger temperature cont...nooriasukmaningtyas
This paper aims to demonstrate the practical aspects of process control theory for undergraduate students at the Department of Chemical Engineering at the University of Bahrain. Both, the ubiquitous proportional integral derivative (PID) as well as model predictive control (MPC) and their auxiliaries were designed and implemented in a real-time framework. The latter was realized through retrofitting an existing plate-and-frame heat exchanger unit that has been operated using an analog PID temperature controller. The upgraded control system consists of a personal computer (PC), low-cost signal conditioning circuit, national instruments USB 6008 data acquisition card, and LabVIEW software. LabVIEW control design and simulation modules were used to design and implement the PID and MPC controllers. The performance of the designed controllers was evaluated while controlling the outlet temperature of the retrofitted plate-and-frame heat exchanger. The distinguished feature of the MPC controller in handling input and output constraints was perceived in real-time. From a pedagogical point of view, realizing the theory of process control through practical implementation was substantial in enhancing the student’s learning and the instructor’s teaching experience.
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Study of Performance Appraisal System for Faculty Members in Selected Managem...ijtsrd
"Performance Appraisal provides a periodic review and evaluation of an individual’s job performance. Although the appraisal forms may only be completed once a year, the job of performance appraisal is continuous – sometimes daily and requires effective communication on both the part of the supervisor and the Respondent. The supervisor is ultimately responsible to make sure these conversations actually take place and are documented. It is essential that the supervisor hold all performance discussions and documentation in complete confidence. Every organization is having an objective towards optimum performance and the Respondent is the key in achieving it. It is necessary that the Respondents performance should reach optimality for the success of the organization. Many organizations are having performance appraisal systems to evaluate the effectiveness and efficiency of their Respondent using linguistic labels to their performance. In a production unit, Respondent performance is proportional to the quality and quantity of production, where as in case of educational institute there is no such direct tool available to evaluate the productivity of its faculty members. In judging efficiency of faculty members, often the institute deals with vague or imprecise data resulting to an inconsistence performance evaluation. This study has been particularly taken by the researcher to understand the present scenario of the institute performance appraisal system in these colleges. Researcher wants to find out the weather appraisal is really helping Respondents for the better future or not. Mr. Santosh V. Hasure | Mr. Viraj V. Jadhav ""Study of Performance Appraisal System for Faculty Members in Selected Management Institutes Affiliated to Shivaji University Kolhapur"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Fostering Innovation, Integration and Inclusion Through Interdisciplinary Practices in Management , March 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23069.pdf
Paper URL: https://www.ijtsrd.com/management/hrm-and-retail-business/23069/study-of-performance-appraisal-system-for-faculty-members-in-selected-management-institutes-affiliated-to-shivaji-university-kolhapur/mr-santosh-v-hasure"
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
The Management of Information Systems and Its Impact on the Quality of Servic...Eswar Publications
This study aimed to identify the impact of management information systems (MIS) techniques on the quality of services provided at the University of Tabuk from the perspective of students. To achieve the goals of the study, one question were developed and distributed on a random sample of 244 students at the University of Tabuk in the Kingdom of Saudi Arabia. The Statistical Package of Social Sciences (SPSS, V.16) was used to analyze the data of the question.
In the pursuit of achieving Oman Vision 2040, the Ministry of Labour is working tirelessly to invest optimally in the development of human capital in order to optimize the government performance. Therefore, the Ministry was assigned to develop a system for individual performance appraisal (one of the enablers of Oman Vision 2040) to serve as a model for governance performance. This is a new performance appraisal system in which the employees’ Objectives are identified relying on various sources including the annual Objectives of the government entity on which the Objectives are evaluated.
Software quality model based on development team characteristicsIJECEIAES
Many factors have a significant impact on producing high-quality software products. Development team members are among the most important factors. Paying attention to the quality from this perspective will be a good innovation in the software development industry. Given that team members play a very important role in software products, this study tries to focus specifically on team characteristics in software product quality and provide a qualitative model based on this. The required data were collected through observations and interviews with project managers and development team members in several companies under study. Then, data were analyzed through hierarchical analysis. According to the results, the use of this model led to the improvement of the software development process so that the team members were satisfied with it. Also, time management was improved, and the customer expressed his satisfaction with the use of this model. Finally, data analysis showed that this model may lead to faster product delivery.
Measuring the quality of e-commerce websites using analytical hierarchy processTELKOMNIKA JOURNAL
Improving website quality for e-commerce website is indispensable since it affects customer satisfaction. There are several aspects of website quality that should be considered. Unfortunately, what criteria that should be prioritized is still under research. This research aims to identify the priority of website quality criteria and incorporate these criteria to measure the quality of ten e-commerce websites in Indonesia using Analytical Hierarchical Process (AHP). This study interviews two experts to assign priority for each criterion. In the end, this study has found that availability is the uttermost aspect to consider. Furthermore, this study also found that OLX.com is the best Customer-to-Customer (C2C) e-commerce in Indonesia in terms of website quality. This research is useful for any e-commerce technical developer to improve his/her website in twofold: 1) criteria priority to improve the quality of C2C e-commerce websites and 2) website quality ranking of C2C e-commerce.
THE IMPLEMENTATION OF MODEL SERVICE ORIENTED ARCHITECTURE TO ANALYZE STUDENT ...AM Publications
The application of Service Oriented Architecture (SOA) model may integrate one information system to others. Also, SOA can handle the complexity of hardware platforms, software, and other services development in the college. There are many services systems exist in the university, for instance student satisfaction system by questionnaire. Student satisfaction is very important to be used as an evaluation of the college. Student satisfaction was analyzed using Importance Performance Analysis (IPA) by using quadrants for each competency. This study discusses the application of SOA and IPA model to analyze student satisfaction towards the course. Student satisfaction data was taken using questionnaires sent to the student satisfaction information system for 70 respondents for each course. It is found that sending the data using SOA and JavaScript Object Notation (JSON) is very efficient with the average value of page generation time for 1,5414 seconds. In addition, the analysis of student satisfaction towards each course is ranged from 3,72 to 4,09 with a satisfaction scale of 1 - 5. Therefore, the level of student satisfaction at the course is categorized in the satisfactory scale.
ACC 574 – Student Notes
(Prerequisite: ACC 562)
COURSE DESCRIPTION
This course focuses on the assurances given to financial statements and other documents by the independent auditor in the context of auditing organizations and their business strategies. It compares the traditional independent auditing procedures to those found in the emerging new audit process and risk models.
INSTRUCTIONAL MATERIALS
Required Resources
Hall, J. (2011). Information Technology Auditing (3rd ed.). Mason, OH: South-Western Cengage Learning.
Prentice, Robert, & Bredeson, Dean (2011). Student Guide to the Sarbanes-Oxley Act: What Business
Needs to Know Now That it is Implemented. Mason, OH: South-Western Cengage Learning. (Note: This is located in Week 1 of the course shell)
Supplemental Resources
Audit and Attest Standards, Including Clarified Standards (2012). Retrieved from: http://www.aicpa.org/Research/Standards/AuditAttest/Pages/audit%20and%20attest%20standards.aspx
Fan, Q., & Zhang, X. J. (2012). Accounting Conservatism, Aggregation, and Information Quality.
Contemporary Accounting Research, 29, 38-56.
McNeal, A. (2010). What’s your fraud IQ? Journal of Accountancy, 209(5), 50-52.
COURSE LEARNING OUTCOMES
1. Assess the impact of the Sarbanes-Oxley Act and other regulatory requirements on the ability of public accounting firms and professionals’ ability to provide advisory services.
2. Evaluate the conceptual framework model that links general controls, application controls, and financial data integrity, and the sufficiency related to establish internal controls.
3. Assess how security and controls processes related to networks, operating systems, and data management are designed and implemented to create sufficient controls over organizational assets.
4. Evaluate the factors that impact the risks, controls, and tests of controls related to information technology governance, including those related to outsourcing.
5. Explore various computer-assisted audit tools and techniques for auditing operating and database systems for establishing a control environment in various business environments.
6. Evaluate the key activities requirements that constitute the system development life cycle (SDLC).
7. Examine the objectives related to the effective implementation of transaction processing and financial reporting systems.
8. Analyze various fraud schemes, determine the implications for the audit, and identify fraud detection techniques.
9. Assess the risks and benefits of implementing operating systems, communication networks, Electronic Data Interchange, and PC-based accounting systems.
10. Evaluate auditing procedures and techniques to audit the revenue and expense cycles to meet various business requirements.
11. Examine Enterprise Resource Planning Systems and the auditing issues related to implementation and control.
12. Analyze issues related to automated procedures, internal control, and audit tests.
13. Use technology and information resources.
Topic Discovery of Online Course Reviews Using LDA with Leveraging Reviews He...IJECEIAES
Despite the popularity of the Massive Open Online Courses, small-scale research has been done to understand the factors that influence the teaching-learning process through the massive online platform. Using topic modeling approach, our results show terms with prior knowledge to understand e.g.: Chuck as the instructor name. So, we proposed the topic modeling approach on helpful subjective reviews. The results show five influential factors: “learn easy excellent class program”, “python learn class easy lot”, “Program learn easy python time game”, and “learn class python time game”. Also, research results showed that the proposed method improved the perplexity score on the LDA model.
Development of depth map from stereo images using sum of absolute differences...nooriasukmaningtyas
This article proposes a framework for the depth map reconstruction using stereo images. Fundamentally, this map provides an important information which commonly used in essential applications such as autonomous vehicle navigation, drone’s navigation and 3D surface reconstruction. To develop an accurate depth map, the framework must be robust against the challenging regions of low texture, plain color and repetitive pattern on the input stereo image. The development of this map requires several stages which starts with matching cost calculation, cost aggregation, optimization and refinement stage. Hence, this work develops a framework with sum of absolute difference (SAD) and the combination of two edge preserving filters to increase the robustness against the challenging regions. The SAD convolves using block matching technique to increase the efficiency of matching process on the low texture and plain color regions. Moreover, two edge preserving filters will increase the accuracy on the repetitive pattern region. The results show that the proposed method is accurate and capable to work with the challenging regions. The results are provided by the Middlebury standard dataset. The framework is also efficiently and can be applied on the 3D surface reconstruction. Moreover, this work is greatly competitive with previously available methods.
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Improving the design of super-lift Luo converter using hybrid switching capac...nooriasukmaningtyas
In this article, an improvement to the positive output super-lift Luo converter (POSLC) has been proposed to get high gain at a low duty cycle. Also, reduce the stress on the switch and diodes, reduce the current through the inductors to reduce loss, and increase efficiency. Using a hybrid switch unit composed of four inductors and two capacitors it is replaced by the main inductor in the elementary circuit. It’s charged in parallel with the same input voltage and discharged in series. The output voltage is increased according to the number of components. The gain equation is modeled. The boundary condition between continuous conduction mode (CCM) and discontinuous conduction mode (DCM) has been derived. Passive components are designed to get high output voltage (8 times at D=0.5) and low ripple about (0.004). The circuit is simulated and analyzed using MATLAB/Simulink. Maximum power point tracker (MPPT) controls the converter to provide the most interest from solar energy.
Third harmonic current minimization using third harmonic blocking transformernooriasukmaningtyas
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Power quality improvement of distribution systems asymmetry caused by power d...nooriasukmaningtyas
With an increase of non-linear load in today’s electrical power systems, the rate of power quality drops and the voltage source and frequency deteriorate if not properly compensated with an appropriate device. Filters are most common techniques that employed to overcome this problem and improving power quality. In this paper an improved optimization technique of filter applies to the power system is based on a particle swarm optimization with using artificial neural network technique applied to the unified power flow quality conditioner (PSO-ANN UPQC). Design particle swarm optimization and artificial neural network together result in a very high performance of flexible AC transmission lines (FACTs) controller and it implements to the system to compensate all types of power quality disturbances. This technique is very powerful for minimization of total harmonic distortion of source voltages and currents as a limit permitted by IEEE-519. The work creates a power system model in MATLAB/Simulink program to investigate our proposed optimization technique for improving control circuit of filters. The work also has measured all power quality disturbances of the electrical arc furnace of steel factory and suggests this technique of filter to improve the power quality.
Studies enhancement of transient stability by single machine infinite bus sys...nooriasukmaningtyas
Maintaining network synchronization is important to customer service. Low fluctuations cause voltage instability, non-synchronization in the power system or the problems in the electrical system disturbances, harmonics current and voltages inflation and contraction voltage. Proper tunning of the parameters of stabilizer is prime for validation of stabilizer. To overcome instability issues and get reinforcement found a lot of the techniques are developed to overcome instability problems and improve performance of power system. Genetic algorithm was applied to optimize parameters and suppress oscillation. The simulation of the robust composite capacitance system of an infinite single-machine bus was studied using MATLAB was used for optimization purpose. The critical time is an indication of the maximum possible time during which the error can pass in the system to obtain stability through the simulation. The effectiveness improvement has been shown in the system
Renewable energy based dynamic tariff system for domestic load managementnooriasukmaningtyas
To deal with the present power-scenario, this paper proposes a model of an advanced energy management system, which tries to achieve peak clipping, peak to average ratio reduction and cost reduction based on effective utilization of distributed generations. This helps to manage conventional loads based on flexible tariff system. The main contribution of this work is the development of three-part dynamic tariff system on the basis of time of utilizing power, available renewable energy sources (RES) and consumers’ load profile. This incorporates consumers’ choice to suitably select for either consuming power from conventional energy sources and/or renewable energy sources during peak or off-peak hours. To validate the efficiency of the proposed model we have comparatively evaluated the model performance with existing optimization techniques using genetic algorithm and particle swarm optimization. A new optimization technique, hybrid greedy particle swarm optimization has been proposed which is based on the two aforementioned techniques. It is found that the proposed model is superior with the improved tariff scheme when subjected to load management and consumers’ financial benefit. This work leads to maintain a healthy relationship between the utility sectors and the consumers, thereby making the existing grid more reliable, robust, flexible yet cost effective.
Energy harvesting maximization by integration of distributed generation based...nooriasukmaningtyas
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Intelligent fault diagnosis for power distribution systemcomparative studiesnooriasukmaningtyas
Short circuit is one of the most popular types of permanent fault in power distribution system. Thus, fast and accuracy diagnosis of short circuit failure is very important so that the power system works more effectively. In this paper, a newly enhanced support vector machine (SVM) classifier has been investigated to identify ten short-circuit fault types, including single line-toground faults (XG, YG, ZG), line-to-line faults (XY, XZ, YZ), double lineto-ground faults (XYG, XZG, YZG) and three-line faults (XYZ). The performance of this enhanced SVM model has been improved by using three different versions of particle swarm optimization (PSO), namely: classical PSO (C-PSO), time varying acceleration coefficients PSO (T-PSO) and constriction factor PSO (K-PSO). Further, utilizing pseudo-random binary sequence (PRBS)-based time domain reflectometry (TDR) method allows to obtain a reliable dataset for SVM classifier. The experimental results performed on a two-branch distribution line show the most optimal variant of PSO for short fault diagnosis.
A deep learning approach based on stochastic gradient descent and least absol...nooriasukmaningtyas
More than eighty-five to ninety percentage of the diabetic patients are affected with diabetic retinopathy (DR) which is an eye disorder that leads to blindness. The computational techniques can support to detect the DR by using the retinal images. However, it is hard to measure the DR with the raw retinal image. This paper proposes an effective method for identification of DR from the retinal images. In this research work, initially the Weiner filter is used for preprocessing the raw retinal image. Then the preprocessed image is segmented using fuzzy c-mean technique. Then from the segmented image, the features are extracted using grey level co-occurrence matrix (GLCM). After extracting the fundus image, the feature selection is performed stochastic gradient descent, and least absolute shrinkage and selection operator (LASSO) for accurate identification during the classification process. Then the inception v3-convolutional neural network (IV3-CNN) model is used in the classification process to classify the image as DR image or non-DR image. By applying the proposed method, the classification performance of IV3-CNN model in identifying DR is studied. Using the proposed method, the DR is identified with the accuracy of about 95%, and the processed retinal image is identified as mild DR.
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Systematic literature review on university website quality
1. Indonesian Journal of Electrical Engineering and Computer Science
Vol. 25, No. 1, January 2022, pp. 511~520
ISSN: 2502-4752, DOI: 10.11591/ijeecs.v25.i1.pp511-520 511
Journal homepage: http://ijeecs.iaescore.com
Systematic literature review on university website quality
Ala’ Hasan Saleh, Rasimah Che Mohd Yusoff, Nur Azaliah Abu Bakar, Roslina Ibrahim
Advanced Informatics Department, University Technology Malaysia, Kuala Lumpur, Malaysia
Article Info ABSTRACT
Article history:
Received Jun 20, 2021
Revised Nov 15, 2021
Accepted Nov 30, 2021
Website is a necessity for organizations to enable users worldwide to access
their information and gain a competitive edge over others. The diversity of
websites makes assessing website quality a difficult task. The aim of this
paper is to identify the issues faced in the quality evaluation of university
websites, the models and the factors used for evaluating university website
quality. Systematic literature review was used to identify and synthesize
related scholarly research papers. Findings show that there is a lack of study
on university website quality compared to business websites; website
designers did not have the appropriate knowledge on the interface design;
and the website quality evaluation is complex since there is no specific
evaluation model. Webqual 4.0 model was used to evaluate the quality of
universities' websites. From 24 studies, initially 79 quality factors were
extracted. After performing comparison, filtration and memoing, six quality
factors were identified: information quality, specific content, usability, web
appearance, service interaction quality, and functionality. This study makes a
useful contribution in developing university website quality model by
extending the Webqual 4.0 model.
Keywords:
Evaluation
Quality
Systematic literature review
University
Website
This is an open access article under the CC BY-SA license.
Corresponding Author:
Ala’ Hasan Saleh
Advanced Informatics Department, University Technology Malaysia
Kuala Lumpur, Malaysia
Email: alaa84saleh@gmail.com
1. INTRODUCTION
Website is the essential interaction tool between the organization and its users in today's digital era.
Having a website allows organizations to attract users worldwide to access their information and gain a
competitive edge over others [1]-[3]. Institutions that have a better level of website quality will pick up
higher levels of client fulfillment leading to feasible competitive advantage [4]. Websites have become more
pervasive now than in the past regardless of the sector (commerce, government administrations, educations,
entertainment, health care, culture, industry, financial services, and many others) [5]-[7].
Universities put enormous effort into creating a valuable website to facilitate stakeholders to access
information swiftly without coming to the institutions [8]-[13]. The quality of the university's website reflects
the quality of universities activities [14]. Among the information available on universities’ websites include
academic programs, facilities, infrastructure, activities, achievements, fields of experts, and so forth. Students
have higher expectations with regards to website quality, starting from efficiency until the content [15].
Hence, quality websites can attract more users and increase their satisfaction.
Generally, the term quality encompasses the capability of a service or product in terms of meeting
the needs and expectations of the consumer [16]. Quality is described by International Organization for
Standardization 9000 (ISO) as "the degree to which a set of inherent characteristics of an object fulfills
requirements" (ISO, 2015). Quality also implies liberation from defects which means a release from errors that
call for redoing the work related to field failures, customer claims, customer dissatisfaction and others [15], [17].
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Indonesian J Elec Eng & Comp Sci, Vol. 25, No. 1, January 2022: 511-520
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Website quality is dependent on: to what extent it could meet the user's needs [18]. Additionally, it describes
users assessment of website performing within delivering information based on its usage capability [19].
The term website quality differs from the traditional concept of quality because website quality
should be perceived as a multidimensional factor that considers the users' and designers' aspects [20]. Despite
experiencing a lot of weaknesses and problems in some universities websites, most universities are working
hard to satisfy the international standard of website quality [21]. Evaluating the quality of a website is very
important since the presence of university websites reflects the existence of a university [22]. So, it is
imperative to study further on university website quality. Section 1 provides an introduction of the project.
Section 2 outlines the research method. Section 3 discusses the results and finally, section 4 reports the
conclusion and future works.
2. RESEARCH METHOD
Systematic literature reviews (SLR) is a common tool to synthesize the prevailing body of literature
in a specific field [23], [24]. For this study, the SLR method was utilized to identify and synthesize related
scholarly research papers [25]. SLR is defined as a method for identifying, evaluating, and synthesising the
existing body of completed and recorded work created by researchers, scholars, and practitioners that is
systematic, explicit, and reproducible. Contrary to the use of unstructured methods such as simple literature
reviews that have a potential to be biased, SLR results are more reliable and tend to be unbiased [26], [27]. SLR
comprises of three phases: review planning, review conduction, and result reporting [25] as shown in Figure 1.
Figure 1. The systematic literature review (SLR) method [15]
2.1. Review planning
The most important activities during the review planning phase are definition of the research
questions for this SLR and creation of the review protocol. However, all other activities should not be
neglected and should be taken seriously. The results of this phase should include a clearly defined review
protocol containing the purpose and the procedures of the review.
2.1.1. Research questions
The first step in the SLR is to determine its focus by clearly frame the questions the review seeks to
answer. The questions were made by following PICO table. PICO stands for population, intervention,
comparison, and outcomes [17] The formula of each item in PICO are illustrated I n Table 1.
Table 1. PICO summary
PICO Formula
Population University websites
Intervention University website quality, evaluation factors, base model
Comparison N/A
Result The factors and indicators to measure the quality of university website, based model, evaluation problems
3. Indonesian J Elec Eng & Comp Sci ISSN: 2502-4752
Systematic literature review on university website quality (Ala’ Hasan Saleh)
513
This SLR seeks to identify answers to the following research questions:
RQ1: What are the problems for evaluating the quality of universities' websites?
RQ2: What are the models used to evaluate the quality of universities' websites?
RQ3: What are the factors and indicators being used to evaluate the quality of academic websites?
2.1.2. Identifying the keyterms
Based on the research questions mentioned above, the key phrase was "universities website quality
evaluation." Then, the synonyms of the keyword ‘evaluation’ were identified which are ‘assessment’ and
‘measurement’. The search string was formulated based on the main terms and their synonyms, and Boolean
as shown: evaluation or assessment or measurement) and website and quality and (University or academic or
education). The search keywords are used to find relevant studies in the paper’s title, keywords and abstract.
2.1.3. Identifying the sources
Five databases were selected for this SLR which include Institute of Electrical and Electronics
Engineers (IEEE), Springer Link, Science Direct, Emerald, and Scopus. These databases were selected as
they dispense the most important and the highest impact full-text journals and conference proceedings,
related to university website quality. This SLR focuses on searching for scientific databases instead of
specific books or technical reports, as it assumes that the major research results in books and reports are also
usually described or referenced in scientific papers.
2.1.4. Identifying the inclusion/ exclusion criteria
To make certain that only relevant literature is accepted into the SLR, the inclusion and exclusion
criteria is used. For the exclusion criteria: papers not in the English language; only the abstract but the full
text is not available; does not have factors or characteristics. While for the inclusion criteria: full-text papers;
review papers, and white papers published from 2010 to the year 2020 [28].
2.1.5. Identifying the data extraction strategy
Data extraction is the process of capturing key characteristics of studies in structured and
standardized form based on information in journal articles. The objective of this step is to design data
extraction forms to accurately record the research’s information that are obtained from the selected papers.
After implementing the inclusion/ exclusion criteria as illustrated in the previous step, information such as
citation, the context of the study, base model, and the quality factors are extracted from the selected papers in
order to answer the research questions.
2.2. Review Conducting
2.2.1. Identification of research
The search process was separated into two stages which include primary and secondary search. In
primary search, the papers were identified in the selected databases using the search string. In the secondary
search, the selected primary studies' references were reviewed to determine any additional related studies.
This process aims to ensure that the primary search phase has not missed any relevant literature. Table 2
illustrates the results of the primary studies search. After passing the primary study search through five
databases, 519 papers were selected. In the secondary stage, a backward search was conducted for the
selected papers of the primary studies.
Table 2. Primary search results
Databases Number of papers Databases Number of papers
Emerald 12 Springer 258
IEEE 24 Scopus 151
Science Direct 74 Total 519
2.2.2. Selection of the studies
This step narrows down the number of documents found in the previous searching phase. To begin
with, eligibility criteria was applied to determine which of the studies identified in searches are pertinent
based on the paper title while all irrelevant papers were discarded. The discardment was conducted by
applying filters related to the university's website quality. Furthermore, the abstract of the filtered paper was
assessed followed by the introduction and the conclusion/discussion of the filtered papers. This step consisted
of a more thorough selection of the documents.
After administering the first level of eligibility criteria, 13 primary studies associated with university
website quality were retrieved. Using these 13 studies, a secondary search was carried out, which involved
4. ISSN: 2502-4752
Indonesian J Elec Eng & Comp Sci, Vol. 25, No. 1, January 2022: 511-520
514
reviewing the references in the selected primary studies to identify relevant supplemental studies. From this
secondary search phase, 17 studies were collected from the references of primary search. The final number of
selected studies was 30 studies. 30 studies went through the second level of inclusion/exclusion criteria
where 28 studies were included and two studies were excluded due to duplication.
2.2.3. Study quality assessment
This step involves assessing the quality of the selected studies in order to support the extraction of
the information for synthesis and result from analysis. A quality assessment checklist was adapted from [25].
Table 3 presents the checklist that was employed for assessing the paper quality. For the quality assessment,
the following scale was used: Yes=1, Partially 0.5, and No=0 [29], it was concluded that the higher the study
score, the greater the quality of the study which is concurrent with its ability to address the research question
in a better way.
Table 3. Study quality assessment checklist [13]
No. Question Answer
QA1 Are the aims clearly stated? Yes/No/Partially
QA2 Are the methods used in each paper clearly described? Yes/No/Partially
QA3 Do the objectives lead to conclusions? Yes/No/Partially
QA4 Is the knowledge or understanding been extended by the research? Yes/No/Partially
QA5 Is the diversity of perspective and context been explored? Yes/No/Partially
QA6 Are the links between data, interpretation, and conclusions are clear? Yes/No/Partially
QA7 Does the detail/ depth/ complexity of the data is conveyed? Yes/No/Partially
In the next step, the total scores for each article were calculated and the percentage was determined
by dividing the total score by seven. A paper with the total score greater than five or 70% will be selected for
the final study. From the previous 28 papers, four papers were rejected where three papers scored 4.0 or 57%
and one scored 3.5 or 50%. So, there are 24 final studies selected from this SLR process. The result of quality
assessment for the final selected studies is illustrated in Table 4. Figure 2 shows the overall process of this
SLR process and the results for each steps.
Table 4. Result of quality assessment for final studies
Citations QA1 QA2 QA3 QA4 Q5 QA6 QA7 Total %
[8] 1 1 1 1 1 0.5 1 6.5 93
[11] 1 1 1 1 1 1 1 7 100
[30] 1 1 1 1 1 0.5 0.5 6 86
[31] 1 1 1 1 1 1 1 7 100
[32] 1 1 1 1 1 1 1 7 100
[33] 1 1 1 1 1 1 0.5 6.5 93
[34] 1 1 1 1 1 1 1 7 100
[35] 0.5 1 0.5 1 1 0.5 0.5 5 71
[36] 1 1 1 1 1 1 1 7 100
[37] 1 1 1 1 0 0.5 0.5 5 71
[38] 1 0.5 1 1 1 0.5 0.5 5.5 79
[39] 1 0.5 1 0.5 1 0.5 1 5.5 79
[40] 1 1 1 0.5 1 0.5 1 6 86
[41] 1 1 1 1 1 1 1 7 100
[42] 1 0.5 1 1 1 0.5 0.5 5.5 79
[43] 1 1 1 1 1 1 1 7 100
[44] 1 1 1 0.5 1 0.5 1 6 86
[45] 1 1 1 0.5 1 0.5 1 6 86
[46] 1 1 1 1 1 1 1 7 100
[47] 1 1 1 1 1 1 1 7 100
[48] 1 1 1 1 1 1 1 7 100
[49] 1 0.5 1 1 1 0.5 0.5 5.5 79
[50] 1 1 1 1 0.5 1 0.5 6 86
[51] 1 1 1 1 1 1 0.5 6.5 93
2.2.4. Data extraction and monitoring progress
24 studies were selected and systematically reviewed. The extracted information such as citation,
the context of the study, the base model, and the quality factors have been used in the final study and
synthesized to answer the research questions. The main content from the extracted information represented in
the Table 5.
5. Indonesian J Elec Eng & Comp Sci ISSN: 2502-4752
Systematic literature review on university website quality (Ala’ Hasan Saleh)
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Figure 2. Overall SLR process
Table 5. Fields of studies and institutions for final papers
ID Citation Field of Study Institutions
R1 [8] University website Telkom University, Indonesia
R2 [11] University website University of Kanjuruhan Malang, Indonesia
R3 [30] Academic libraries Nigerian academic libraries
R4 [31] University website Nigerian University
R5 [32] University website Iranian state university
R6 [33] Course website National Taiwan Ocean University
R7 [34] University website Tanzanian Public University
R8 [35] College library website Institute of Science and Technology, China
R9 [36] University website Delft University of Technology, Netherlands
R10 [37] University website Institut Teknologi Sepuluh Nopember Surabaya, Indonesia
R11 [38] University website X University, USA
R12 [39] University website University of Bari's, Italy
R13 [40] University website 118 Portuga universities
R14 [41] University website Malaysian Universiti
R15 [42] University libraries Maharaja Sayajirao University
R16 [43] University website Kenyan University
R17 [44] Research institute X Agency
R18 [45] University website Jember University, Indonesia
R19 [46] Higher education services LL-Dikti IV
R20 [47] University website Eastern Samar State University, Philippine
R21 [48] University website Universities in Indonesia
R22 [49] University website Universitas Sumatera Utara, Indonesia
R23 [50] University website Three Jordanian universities
R24 [51] Language center websites Mulawarman University
2.2.5. Data synthesis
The quality factors were identified from the 24 relevant research based on user perspectives. Data
coding technique was used to label and organize the factors into themes. From 24 studies, 79 quality factors
were extracted. Based on the similarities and differences of data codes, a constant comparison was
performed. To identify the similarities, filtration was done based on explicit and implicit duplication. Explicit
duplication is the clear duplication using the same code. For example, code for ‘Usability’ that appeared in
many papers will be included once. Implicit duplication is the difference code that has the same meaning. For
example, ‘information quality’ and ‘content quality’ have the same meaning. After removing duplications
and applying memoing technique, six quality factors were generated as in Table 6.
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Table 6. The list of universities websites quality factors
No. Quality factors Study ID
1 Information quality R10, R22, R8, R3, R9, R4, R5, R11, R13, R20, R1, R14, R19, R15, R16
2 Specific content R10, R8, R9
3 Usability R10, R22, R8, R3, R9, R4, R5, R11, R6, R12, R13, R1, R14, R19, R15, R7, R16
4 Web appearance R10, R22, R3, R9, R20, R1, R14, R19
5 Service interaction quality R3, R4, R5, R11, R6, R12, R13, R1, R15, R16
6 Functionality R8, R4, R6, R12, R20, R1, R14, R7
3. RESULTS AND DISCUSSION
In this section, we talk about how this work can be helpful for research communities. This work also
leads to some possible future work areas. This research was conducted to answer three main research questions:
3.1. To investigate the issues of evaluating the quality of universities' websites
Table 7 presents the issues of evaluating universities’ websites quality. The findings indicate that
there is still a lack of study on university websites quality compared to business websites [33], [34]. From the
developers aspects, some of the designers did not have the appropriate knowledge of usability engineering
and user interface design which affect the quality of the websites. The most common issue is related to
website evaluation aspects since website quality evaluation is complex and multidimensional and there is no
specific evaluation model for university websites. The evaluation of universities' websites differs from other
websites, in terms of structure and content. Besides, the factor of priorities and weights depend on the
website type [11], [12], [52]-[54]. For example, user interface and atractiveness are essential factors to attract
more consumers to an e-commerce website [55]. Conversely, information quality is more important for
educational website [10], [56]. Moreover, there is often an overlapping among factors and sub-factors [57]
which generally happens for the models inspired by software quality standards [5], [57]. For example,
‘efficiency’ is the main factor in ISO 9126 model, but it is a subfactor in the WebQual 4.0 model.
Additionally, several website quality evaluation models are not scalable in terms of indicators [5], [58].
The
possibility to focus only on some quality factors or sub-factor while ignoring the others, is generally not kept
into consideration [1], [59]. It is challenging to evaluate the quality of university website as various types of
different indicators affect the website's design [60].
Table 7. The issues of evaluating universities websites quality
Main Issues Issues Paper ID
Researchers interest - Most of the research on website quality mainly focused on business websites
but lacks on university websites.
R5, R6
- Most of the research focused on the quality from developer and designer
perspective with little work on user perspectives.
R1
Problems from
website developers
aspects
- Many university website designers did not have the appropriate knowledge of
usability engineering and user interface design. They caused unnecessary traffic
on the internet and also inconsistent in terms of colors, structure, and fonts.
R2, R15
- Many university websites have problems in terms of accessibility, functionality,
security, web appearance, and the quality of the content.
R2, R3, R18, R21,
R22
Problems from
website evaluation
aspects
- Website quality evaluation is complex and multidimensional. R1, R2, R3, R4, R14
- There is no specific evaluation model for university websites that takes into
account the needs of different user groups.
R6
- The standard of evaluation website quality is still limited. R10, R15
- General models have often been applied to assess the quality of academic
websites, but they do not consider the requirements of specific stakeholders of
the website.
R6, R15
- Limited academic research on the overall website quality and most of them
concentrate on a specific topic on quality such as usability.
R1, R3, R10, R15,
R21
3.2. To identify the base model or aspect for evaluating the quality of universities' websites
Table 8 and Figure 3 illustrate the distribution of models or aspects of criteria used to evaluate the
university website quality. There are 11 evaluation models were extracted from this SLR. The most frequent
model used to measure the quality was WebQual 4.0 (46%), followed by ISO/IEC 9126 (13%).
3.3. To investigate factors and indicators to evaluate the quality of universities' websites
79 quality factors from 24 studies have been extracted in this SLR. After removing duplications and
applying memoing technique, six quality factors were identified: Information quality, specific content,
usability, web appearance, service interaction quality, and functionality. Besides the factors, this study also
identified the indicators for each factors as listed in Table 9.
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Table 8. Base model for website quality evaluation
Base Model Study ID Base Model Study ID
Aladwani's and Palvia's instrument R1, R5 QinUEM R14
7Loci meta-model R15 Usability Heuristic guidelines R2
CAWI questionnaire R13 WebQEM R9
Functionalities features R3 Zhang Mei model R11
ISO/IEC 9126 R6, R10, R17 WebQual 4.0 R4, R7, R8, R16, R18, R19,
R20, R21, R22, R23, R24
Performance criterias R12
Figure 3. Base model for website quality evaluation
Table 9. List of factors and their indicators
Factor Indicators Factor Indicators
Information
Quality
1. Usefulness
2. Completeness
3. Clarity
4. Currency
5. Information accuracy
6. Information believable
7. Information relevant
8. Information detail
9. Information uniqueness
10. Information broadness
11. Information originality
12. Variety information
Specific Content 1. Research interest & achievement
2. Student portal
3. Course description
4. Timetable
5. Contact information
6. General information
7. Brochure
8. Admissions
9. Academic policies
10. Research information
11. Frequently used forms
Usability 1. Easy to learn to operate
2. Miscellaneous features
3. Easy to navigate
4. Easy to use
5. Competent
6. Creates a positive experience
7. Use of special plug-ins
8. Anonymity
9. Browser sniffing
10. Interactivity
11. Multi-language
12. Page Speed
13. Links visibility
14. Alternative paths
15. User-Friendliness
Web Appearance 1. Attractiveness
2. Changing look
3. Proper use of fonts
4. Proper use of colors
5. Appropriate use of images
6. Proper use of multimedia
7. Style consistency
8. Proper choice of page length
9. Good labeling
10. Text-only option
11. Proper use of language
12. Good labeling
13. Text-only option
14. Enjoyment
15. Noticeable logo
16. Logical structure
Service Interaction
Quality
1. Good reputation
2. Secure transaction
3. Secure information
4. Personalization
5. Sense of community
6. Responsiveness
7. Trust
8. Recoverability
9. Availability
10. Non-deficiency
11. Additional services
Functionality 1. Searching and retrieving
2. Suitability
3. Student-oriented domain features
4. Effective
5. Accessibility
6. Portable device compatibility
7. Visibility features
8. Bookmark facility
9. Stability
10. Changeability
11. Interoperability
12. Flexibility
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4. CONCLUSION
This paper employed SLR to search for papers related to university website quality by addressing
the following research questions: RQ1: What are the problems in evaluating the quality of universities'
websites? RQ2: What is the base model used to evaluate the quality of universities' websites? RQ3: What are
the factors and indicators being used to evaluate the quality of university websites? Regarding the issues for
university website quality evaluation, a variety of evaluation criteria have been used. 24 final papers were
considered eligible after the inclusion/exclusion process and quality assessment. Majority issues of university
websites quality were related with website evaluation aspects since website quality evaluation is complex and
multidimensional. Majority studies used the Webqual 4.0 as the base model to evaluate the universities
website where information quality, usability, and service interaction quality are the factors for Webqual 4.0
model. From the final articles, 79 factors were identified to evaluate the university website quality. After
removing duplications and applying memoing technique, six quality factors were identified which are
information quality, specific content, usability, web appearance, service interaction quality, and functionality.
These identified website quality factors extend the factors used for Webqual 4.0 by adding specific content,
web appearance, and functionality as the important factors to measure university website quality. With regard
to future work, the researcher is interested to validate the factors and indicators identified from this SLR with
experts in order to develop the university website quality model.
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BIOGRAPHIES OF AUTHORS
Ala’ Hasan Saleh is a PhD candidate at Razak Faculty of Technology and
Informatics, Universiti Teknologi Malaysia Kuala Lumpur, Malaysia. Her expertise in web quality,
information quality. She can be contacted at email: alaa84saleh@gmail.com.
Dr. Rasimah Che Mohd Yusoff currently is a senior lecturer at Razak Faculty of
Technology and Informatics, Universiti Teknologi Malaysia Kuala Lumpur, Malaysia. She
received her PhD in Visual Informatics in 2014. Her main research areas are multimedia, mixed
reality, technology acceptance, user experience (UX) and web quality. She can be contacted at
email: rasimah.kl@utm.my.
Dr. Nur Azaliah Abu Bakar is senior lecturer at Razak Faculty of Technology and
Informatics, Universiti Teknologi Malaysia. She graduated with a Bachelor (Information
Technology) (Hons) in Information Systems Engineering from Multimedia University (MMU)
Malaysia (2000), Masters in Information Technology from Universiti Teknologi Mara (UiTM) in
2004 and Doctor of Philosophy Information Technology (Enterprise Architecture) by Universiti
Teknologi Malaysia (2017). She has 20 years’ experience in ICT and has served in the Malaysian
Public Sector as well as several multinational companies. Her the topics of expertise and research
interests include, but are not limited to Informatics, Enterprise Architecture, Digital Government,
Digital Transformation and ICT Strategic Planning. She can be contacted at email:
azaliah@utm.my.
Dr. Roslina Ibrahim currently is a senior lecturer at Razak Faculty of Technology
and Informatics, Universiti Teknologi Malaysia Kuala Lumpur, Malaysia. She received her PhD in
Information Systems in 2014. Her main research areas are educational games, adoption/acceptance
of information systems Advanced Quantitative Analysis using Structural Equation Modelling
(AMOS), usability evaluation and user experience (UX). She can be contacted at email:
iroslina.kl@utm.my.