Mühendislik Fakültesi / Faculty of Engineering
Permanent URI for this collectionhttps://hdl.handle.net/11727/1401
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Item Task and user-based Entropy-Rank Sum-TPOP integration proposal for usability evaluation of web applications(2022) Yorulmaz, Muhammet; Bas, Gilin Feryal CanThe present study aims to determine the importance weights of the subjective and objective usability cri-teria based on task and user by considering these criteria simultaneously in the usability analysis of web applications. In this context, by proposing a Multi-criteria Decision Making approach including Entropy -Rank Sum (RS) - Technique of Precise Order Preference (TPOP) integration, the Multi-Dimensional Usability Analysis (MDUA) approach was advanced. The proposed analysis approach was applied on MOODLE software selected as a sample web application. The objective criteria in the sample application were measured using the Morae V3 program as a result of users performing their predefined tasks, and the subjective criteria were evaluated by determining the importance orders of the criteria for each user that affect the users' satisfaction. Subsequently, objective criteria weights were calculated by the Entropy method on task basis, and subjective criteria weights were computed by the RS method on user basis. In the last stage, the weights of the objective criteria and the weights of the subjective criteria that change according to the user are combined separately using the TPOP method. Thus, the most important subjec-tive and objective criteria for improving the usability of MOODLE LMS were determined. (c) 2022 The Authors. Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Item Evaluation of performance levels of students for moodle learning management system in terms of usability Criteria with PSI-Entropy-Marcos integration(2022) Yorulmaz, Muhammet; Can, Gulin FeryalThe study, it is aimed to determine and compare the end-user performances within the scope of achieving the determined objectives while using the Moodle Learning Management System (LMS). Accordingly, considering multiple usability criteria, 18 users were prioritized in terms of their performances in using Moodie LMS. In this direction, Preference Selection Index (PSI) and Entropy integration was used to determine the importance weights of usability criteria, and the Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) method was used to prioritize the end-users. A new hybrid weighting method has been proposed by integrating the PSI method with the Entropy method, taking into account both the uncertainty in the performance values of the end-users according to the criteria and the preference change values of the criteria. This proposed method is applied for a three-dimensional initial decision matrix Thus, the traditional two-dimensional initial decision matrix which consists of the alternatives and the values that the alternatives take according to the criteria, has been developed and made more flexible. The objective criteria taken into account in the analysis were measured by the Morae V3 program, with the tasks defined as predetermined goals being performed by the users on the Moodie LMS. In addition, the criteria weights obtained from the proposed PSI-Entropy integration were used in the MARCOS method to rank the end-users according to their performance levels.