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Martin Schrepp
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Computer Science & IT

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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.
An Indonesian Adaptation of the Bot Usability Scale Full Version (BUS-42) Harry Budi Santoso; Budiarti; Martin Schrepp; Mira Suryani; Rizal Fathoni Aji; Baginda Anggun Nan Cenka; Erza Janitradevi Nadine; Dony Abdul Chalid
Jurnal Sistem Informasi Vol. 22 No. 1 (2026): Vol. 22 No. 1 (2026): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Bot Usability Scale (BUS-42) is a tool specifically designed to evaluate chatbot usability, yet it has not been extensively applied in Indonesian contexts. This study aimed to adapt the BUS for Indonesian users, following Beaton’s cross-cultural adaptation framework to ensure cultural and linguistic relevance. The Indonesian adaptation was tested with 103 participants from the Faculty of Computer Science at one of large public universities in Indonesia, resulting in a high Cronbach’s Alpha of 0.922, confirming strong internal consistency. The adapted BUS-42 covers various usability attributes, including ease of use, accessibility, and response speed, making it suitable for assessing chatbot usability in academic settings. Findings suggest that the Indonesian-adapted BUS-42 is a reliable and comprehensive tool, applicable to different domains beyond education, such as e-commerce and government services. Future research should focus on extending BUS-42 testing to diverse chatbot applications and performing validity and sensitivity analyses to optimize its utility across various Indonesian user contexts.
Co-Authors Baginda Anggun Nan Cenka Budiarti Dony Abdul Chalid Erza Janitradevi Nadine Harry Budi Santoso Mira Suryani Mochammad Aldi Kushendriawan Panca O. Hadi Putra Rizal Fathoni Aji