Please use this identifier to cite or link to this item: https://repository.unej.ac.id/xmlui/handle/123456789/121669
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dc.contributor.authorNURRUDDIN, Muhammad Afif-
dc.date.accessioned2024-06-20T03:03:16Z-
dc.date.available2024-06-20T03:03:16Z-
dc.date.issued2023-12-28-
dc.identifier.nim192410102039en_US
dc.identifier.urihttps://repository.unej.ac.id/xmlui/handle/123456789/121669-
dc.description.abstractThis study focuses on evaluating the usability of the WhatsApp application for individuals with visual impairments using a quasi-ethnography approach. The evaluation employs the System Usability Scale (SUS) and Semi-Structured Interview methods. The case study is conducted at the Special Education Public School (SLB Negeri) in Branjangan, Jember. Through the combination of quasi-ethnography, SUS, and Semi-Structured Interview methods, the study aims to provide insights into the usability challenges faced by visually impaired users of WhatsApp. The research obtained a final SUS score of 94.375, reflecting a high level of usability. The identified challenges include changes in layout and issues related to blocked numbers. Participant expectations revolve around enhancing ease of use and introducing more channels for varied information. The combination of SUS and Semi-Structured Interview methods proves to be an effective approach in gaining in-depth information about the experiences of visually impaired users.en_US
dc.language.isootheren_US
dc.publisherFakultas Ilmu Komputeren_US
dc.subjectUsability Evaluation Methodsen_US
dc.subjectBlind Usersen_US
dc.subjectQuasi-Ethnographyen_US
dc.titleEvaluasi Usability Pada Aplikasi Whatsapp Berbasis Quasi-Ethnography Menggunakan Metode System Usability Scale Dan Semi-Structured Interview (Studi Kasus: Penyandang Tunanetra Slb Negeri Branjangan Jember)en_US
dc.typeSkripsien_US
dc.identifier.prodiTeknologi Informasien_US
dc.identifier.pembimbing1Fahrobby Adnan S.Kom., M.MSIen_US
dc.identifier.pembimbing2Yudha Alif Auliya S.Kom, M.Komen_US
dc.identifier.validatorrevaen_US
dc.identifier.finalization0a67b73d_2024_06_tanggal 20en_US
Appears in Collections:UT-Faculty of Computer Science

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