ANALISA USER EXPERIENCE PADA WEBSITE KELUARGA MAHASISWA NAHDLATUL ULAMA NASIONAL MENGGUNAKAN METODE USER EXPERIENCE QUESTIONNAIRE(UEQ)

HANDAYANI, ENDAH KARMILA and Suarli, Pacu Putra (2022) ANALISA USER EXPERIENCE PADA WEBSITE KELUARGA MAHASISWA NAHDLATUL ULAMA NASIONAL MENGGUNAKAN METODE USER EXPERIENCE QUESTIONNAIRE(UEQ). Undergraduate thesis, Sriwijaya University.

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Abstract

As a socio-religious organization where one of its goals is to preach through print and electronic media, the National KMNU also utilizes information technology by creating a website to support this. However, the website has never been analyzed for user experience, and it is not known how difficult the users experience when accessing the website. This study focuses on analyzing user experience using the User Experience Questionnaire (UEQ) method. Data obtained from interviews and the distribution of the UEQ questionnaire to visitors to the National KMNU website. UEQ data analysis was performed using UEQ Data Analysis Tools version 10 by comparing the value of each aspect with the available product data set. This study involved 4 groups of samples with different amounts. The results of the analysis show that there are 4 scales that are included in the Above average category, namely the clarity scale with an average value of 1 62, the efficiency scale with a value of 1.45, the accuracy scale with a value of 1.25, and the novelty scale with a value of 1.07 and 2 scales get the Good category, namely the attractiveness scale with a value of 1 57 and stimulation with a value of 1.52 The results of the analysis show that improvement priorities can be focused on aspects with the Above average category (above average) so as to improve the performance of the National KMNU website. Keywords: User Experience Questionnaire, UEQ. User Experience Analysis, National KMNU Website

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Keywords: User Experience Questionnaire, UEQ. User Experience Analysis, National KMNU Website
Subjects:	Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA75.5.A142 Computer science. Information society. Information technology.
Divisions:	09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User:	Users 25000 not found.
Date Deposited:	30 Sep 2022 03:25
Last Modified:	30 Sep 2022 03:25
URI:	http://repository.unsri.ac.id/id/eprint/80211

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