Usability evaluation of university website: a case study

Sukmasetya, Pristi; Setiawan, Agus; Arumi, Endah Ratna

doi:10.1088/1742-6596/1517/1/012071

Cited by 19 publications

(17 citation statements)

References 3 publications

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“…The mobile money subscribers were satisfied with the features and functionalities of the G-MoMo applications, the information, and the display quality. This attribute was reported in other studies conducted by Byun et al (2020) The new mobile money subscribers found it easy to use the native G-MoMo applications because of the simplicity of the interfaces, features, and functionalities, which helped achieve total satisfaction (Byun et al, 2020;Merks et al, 2020;Lersilp et al, 2020;Sukmasetya et al, 2020;Al-Gayar et al, 2021;Kairy et al, 2021).…”

Section: Heuristic Evaluation and Usability Testing (I) Several Usabi...supporting

confidence: 53%

“…Abidin et al (2019) recommended that applications must have help and documentation features explained in simple language and easily accessible. It was reported that the usability testing result showed that the native G-MoMo applications were highly efficient because mobile money subscribers could take less time to complete the given tasks accurately (Lynn et al, 2020;Byun et al, 2020;Hussain et al, 2020;Zakaria et al, 2020;Sukmasetya et al, 2020;Tyas & Khairunisa, 2020;Emanuela et al, 2020;Mubeen et al, 2020;A'bas et al, 2021;Putri et al, 2021).…”

Section: Heuristic Evaluation and Usability Testing (I) Several Usabi...mentioning

confidence: 99%

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Development of a secure multi-factor authentication algorithm for mobile money applications

Guma¹

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With the evolution of industry 4.0, financial technologies have become paramount and mobile money as one of the financial technologies has immensely contributed to improving financial inclusion among the unbanked population. Several mobile money schemes were developed but, they suffered severe authentication security challenges since they implemented two-factor authentication. This study focused on developing a secure multi-factor authentication (MFA) algorithm for mobile money applications. It uses personal identification numbers, one-time passwords, biometric fingerprints, and quick response codes to authenticate and authorize mobile money subscribers. Secure hash algorithm-256, Rivest-Shamir-Adleman encryption, and Fernet encryption were used to secure the authentication factors, confidential financial information and data before transmission to the remote databases. A literature review, survey, evolutionary prototyping model, and heuristic evaluation and usability testing methods were used to identify authentication issues, develop prototypes of native genuine mobile money (G-MoMo) applications, and identify usability issues with the interface designs and ascertain their usability, respectively. The results of the review grouped the threat models into attacks against privacy, authentication, confidentiality, integrity, and availability. The survey identified authentication attacks, identity theft, phishing attacks, and PIN sharing as the key mobile money systems’ security issues. The researcher designed a secure MFA algorithm for mobile money applications and developed three native G-MoMo applications to implement the designed algorithm to prove the feasibility of the algorithm and that it provided robust security. The algorithm was resilient to non-repudiation, ensured strong authentication security, data confidentiality, integrity, privacy, and user anonymity, was highly effective against several attacks but had high communication overhead and computational costs. Nevertheless, the heuristic evaluation results showed that the G-MoMo applications’ interface designs lacked forward navigation buttons, uniformity in the applications’ menu titles, search fields, actions needed for recovery, and help and documentation. Similarly, the usability testing revealed that they were easy to learn, effective, efficient, memorable, with few errors, subscriber satisfaction, easy to use, aesthetic, easy to integrate, and understandable. Implementing a secure mobile money authentication and authorisation by combining multiple factors which are securely stored helps mobile money subscribers and other stakeholders to have trust in the developed native G-MoMo applications.

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Section: Heuristic Evaluation and Usability Testing (I) Several Usabi...supporting

confidence: 53%

Section: Heuristic Evaluation and Usability Testing (I) Several Usabi...mentioning

confidence: 99%

Development of a secure multi-factor authentication algorithm for mobile money applications

Guma¹

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“…The users also agreed that they would remember navigating between G-MoMo applications pages the next time they use it. This is supported by (Alturki et al, 2020;Putri et al, 2021;Sukmasetya et al, 2020;Zakaria et al, 2020), who reported that the users easily remember the steps followed while using the applications. The participants reported having encountered fewer errors while using the G-MoMo applications.…”

Section: Discussionmentioning

confidence: 70%

Heuristic Evaluation and Usability Testing of G-MoMo Applications

Ali

2022

J INFORM SYSTEMS ENG

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Financial technology (FinTech) has swiftly revolutionized mobile money as one of the ways of accessing financial services in developing countries. Numerous mobile money applications were developed to access mobile money services but are hindered by severe authentication security challenges, thus, forcing the researchers to design a secure multi-factor authentication (MFA) algorithm for mobile money applications. Three prototypes of native mobile money applications (G-MoMo applications) were developed to confirm that the algorithm provides high security and is feasible. This study, therefore, aimed to evaluate the usability of the G-MoMo applications using heuristic evaluation and usability testing to identify potential usability issues and provide recommendations for improvement. Heuristic evaluation and usability testing methods were used to evaluate the G-MoMo applications. The heuristic evaluation was carried out by five experts that used the 10 principles proposed by Jakob Nielsen with a five-point severity rating scale to identify the usability problems. While the usability testing was conducted with forty participants selected using a purposive sampling method to validate the usability of the G-MoMo applications by performing tasks and filling out the post-test questionnaire. Data collected were analyzed in RStudio software. Sixty-three usability issues were identified during heuristic evaluation, where 33 were minor and 30 were major. The most violated heuristic items were "help and documentation", and "user control and freedom", while the least violated heuristic items were "aesthetic and minimalist design" and "visibility of system status". The usability testing findings revealed that the G-MoMo applications' performance proved good in learnability, effectiveness, efficiency, memorability, and errors. It also provided user satisfaction, ease of use, aesthetics, usefulness, integration, and understandability. Therefore, it was highly recommended that the developers of G-MoMo applications fix the identified usability problems to make the applications more reliable and increase overall user satisfaction.

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“…Usability is a way that can be done to measure the usability level of the application [30]. The use of the Five Human Factors in the context of testing to investigate how content created in virtual reality can be delivered functionally [31]. In applications for educational purposes such as safety training, usability approaches such as the Five Human Factors are also useful to see the effectiveness of implementing a technology [29], [32] Five Human Factors consists of five main components [33].…”

Section: Literature Reviewmentioning

confidence: 99%

The Metaverse to Enhance Safety Campaign toward Shipping Industry (Case Study: The Development and Implementation of Metaverse in Government-Owned Corporation)

Fajar¹,

David²,

Sihombing³

et al. 2022

IJETAE

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The Metaverse concept that uses Virtual Reality technology is a highly developed technology. We present an application from the metaverse concept using the Oculus Rift for a safety campaign with a safety training approach. This paper describes comprehensively the concept, design, development, and evaluation of the implementation of the metaverse towards the Government-Owned Corporation. The results of the evaluation involving 60 respondents prove that safety training has gotten very good results. The test also proves that the gender of the user does not affect the use of virtual reality in terms of functionality or usability (p > 0.05). Further results also prove that the application of metaverse can be applied to various age groups. This can be seen from the absence of significant differences in how well users handle the errors while operating virtual reality in the age range of 35 to 45 years (p = 0.04).

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Usability evaluation of university website: a case study

Cited by 19 publications

References 3 publications

Development of a secure multi-factor authentication algorithm for mobile money applications

Development of a secure multi-factor authentication algorithm for mobile money applications

Heuristic Evaluation and Usability Testing of G-MoMo Applications

The Metaverse to Enhance Safety Campaign toward Shipping Industry (Case Study: The Development and Implementation of Metaverse in Government-Owned Corporation)

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