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Journal : Jurnal Sistem Informasi

Evaluating User Experience of a Mobile Health Application ‘Halodoc’ using User Experience Questionnaire and Usability Testing Mochammad Aldi Kushendriawan; Harry Budi Santoso; Panca O. Hadi Putra; Martin Schrepp
Jurnal Sistem Informasi Vol. 17 No. 1 (2021): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (705.13 KB) | DOI: 10.21609/jsi.v17i1.1063

Abstract

This paper aims to evaluate the user experience of a mobile health application called Halodoc to keep the user using the application and keep from losing a potential source of revenue for Halodoc. Halodoc is one of the companies that use the internet to provide health services for its users. Halodoc has services such as features for consultation with doctors, online medicine purchases, and hospital appointments. Halodoc’s vision is to simplifying healthcare, but there are still many complaints and negative reviews about Halodoc on Google play store and Apple store about the usability. This paper uses a mixed-method approach using User Experience Questionnaire (UEQ) and Usability Testing. The results of the analysis were used as a reference for making the improvement designs. The results of the UEQ evaluation showed accordingly to the UEQ benchmark already a good level of UX. However, the usability test uncovered some concrete areas for improvement.
User Perception Analysis of Online Learning Platform “Zenius” During the Coronavirus Pandemic Using Text Mining Techniques Arminditya Fajri Akbar; Harry Budi Santoso; Panca O. Hadi Putra; Satrio Bhaskoro Yudhoatmojo
Jurnal Sistem Informasi Vol. 17 No. 2 (2021): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (567.356 KB) | DOI: 10.21609/jsi.v17i2.1065

Abstract

Availability of access to online learning platforms is expected to support online learning activities amid the COVID-19 pandemic. There are several issues experienced by students in online learning activities. These issues are related to Internet access, learning content, and learning evaluation. Online learning platforms are indispensable to be able to provide good learning resources that are easily accessible to students. This study aims to explore data reviews on Google Play Store to perceive the priority of service improvements that need to be carried out by online learning platform providers. Topic modeling and sentiment analysis are applied to extract useful information based on user sentiment towards the topics discussed in the application review. The result of topic analysis shows that topic trends in user reviews are about Live Class, Tryout, Subject Matter, User Account, Tutorial Video, and Free Learning Access. Meanwhile, the result of NRS assessment identified aspects that need to be a priority for improving online learning platform services. These aspects are in the Tryout and User Account sections. On the other hand, the aspect of Free Learning Access received the highest NRS. Users are helped by having free access to all learning content during learning from home activities.