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dc.contributor.authorRamadiani, Ramadiani
dc.contributor.authorAzainil, Azainil
dc.contributor.authorHaryaka, Usfandi
dc.contributor.authorAgus, Fahrul
dc.contributor.authorKridalaksana, Awang Harsa
dc.date.accessioned2020-01-08T17:16:43Z
dc.date.available2020-01-08T17:16:43Z
dc.date.issued2017-10-13
dc.identifier.citationRamadiani et al. / Procedia Computer Science 116 (2017) 373–3800, 2017en_US
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S1877050917321208
dc.identifier.urihttp://repository.unmul.ac.id/handle/123456789/3529
dc.description.abstractLevel of smartphone usage can be used as an indicator of technological progress of a region. This study aims to explore and make user satisfaction model for e-learning using smartphone applications in Mulawarman University. The purpose of the research is to make user satisfaction model for e-learning using smartphone, and to produce and to recommend e-learning content for research and e-learning. The components that would be evaluated in this research are focused on the following matters: User satisfaction for e-Learning using Smartphone; Service quality, Information quality, User participation, and Benefit. Where service quality consists of demeanor, responsiveness, competence and tangible. Information quality consist of completeness, relevancy, accuracy, and currency. User participation consist of training provider, user understanding and participation. Benefit consist of easier to the job and increase productivity. The research method used Path Diagram, Structural Equation Model, Lisrel and Manova Analysis. Total of respondent are 178 students which are consist of 83 females and 95 males. The statistical value in the model of e-learning user satisfaction has a highly significant correlation values and strong construction between variables, which is evidenced by the size of the construct reliability values above 0.70 and the value of its variance extracted 0.50 The model can be considered in developing an e-learning application in the future.en_US
dc.language.isoenen_US
dc.publisherProcedia Computer Science Volume 116, 2017, Pages 373-380en_US
dc.relation.ispartofserieshttps://doi.org/10.1016/j.procs.2017.10.070;
dc.subjecte-Learning, User Satisfaction, SEM, Smartphoneen_US
dc.titleUser satisfaction model for e-learning using smartphoneen_US
dc.typeArticleen_US


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