Integrating Heuristic Evaluation and Think-Aloud Protocols By Applying Nielsen’s Metrics on Indonesian e-Pangan Application


  • Rahma Fitria Universitas Malikussaleh
  • Cut Meurah Nurul ‘Akla Universitas Malikussaleh
  • Rini Meiyanti Universitas Malikussaleh
  • Nova Kartika Universitas Malikussaleh
  • Rifqa Universitas Malikussaleh



Usability Testing, Heuristic Evaluation, Think-aloud Protocols, Nielsen Metric, Mobile Evaluation


Usability testing has emerged as one of the most important aspects of software testing to provide high-quality software to users. The purpose of this study is to evaluate the usability of an Indonesian mobile government application known as e-pangan. Because of the growing number of mobile phone users, the government has deployed mobile applications to make it easier for people to obtain information. Unfortunately, mobile government is not user-friendly and still has a lot of issues, as evidenced by user reviews in the Google Play store. The study employed a hybrid usability methodology that included heuristic evaluation and think-aloud protocols. The mobile government application Panel Harga Pangan will be tested to represent the study of this testing. Furthermore, the heuristic evaluation is performed by a usability expert, while the think-aloud protocols are performed by ten users. Nielsen's metrics are applied to measure the learnability, efficiency, memorability, error rate, and satisfaction of the application. The results of the research show that the application has an average score of 66%, indicating that while some users might discover it challenging others might discover it to be straightforward. This research is expected to be beneficial for usability practitioners or developers to develop a user-friendly e-government application.


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How to Cite

Fitria, R., Cut Meurah Nurul ‘Akla, Meiyanti, R., Kartika, N., & Rifqa. (2024). Integrating Heuristic Evaluation and Think-Aloud Protocols By Applying Nielsen’s Metrics on Indonesian e-Pangan Application. Journal of Artificial Intelligence and Engineering Applications (JAIEA), 3(3), 712–718.