This study aims to evaluate the usability level of the Strava fitness application using the Post-Study System Usability Questionnaire (PSSUQ) and the Retrospective Think Aloud (RTA) method. A total of 128 respondents completed the PSSUQ questionnaire, while five respondents participated in RTA sessions to provide qualitative insights into their user experience. The analysis shows that Strava ha…
The rapid development of digital banking services has necessitated a deeper understanding of user perceptions and satisfaction levels. This study analyzes sentiment from user reviews of the Wondr by BNI app using a Knowledge Discovery approach and machine learning methods. Three classification algorithms were compared: Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Naive Bayes, eva…
The increasing use of digital banking applications has led to the need for a deeper understanding of user perceptions, especially through aspect-based sentiment analysis. This study aims to classify the sentiment of SeaBank app users by focusing on four main aspects: learnability, efficiency, technical issues or errors, and satisfaction. Review data totaling 1,971 comments were collected from t…
Automated monitoring of Personal Protective Equipment (PPE) is crucial for enhancing safety in high-risk environments like construction sites, yet selecting the optimal detection model requires careful evaluation of accuracy versus efficiency trade-offs. This study presents a comparative performance analysis across distinct object detection paradigms represented by YOLO (YOLOv8, YOLOv11n), Fast…
Bibit is a widely used digital investment application among Generation Z, offering mutual funds, stocks, and bonds through features such as Robo Advisor and Bibit Plus. As digital investment adoption grows, understanding the factors that influence Gen Z’s acceptance of Bibit becomes increasingly important. This study applies the Extending UTAUT2 model, which includes Performance Expectancy, E…