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Journal : Journal of Information Systems and Informatics

Enhancing Real-time Herbal Plant Detection in Agricultural Environments with YOLOv8 Siahaan, Ranty Deviana; Pardede, Herimanto; Simbolon, Iustisia Natalia; Simbolon, Ivanston; Gultom, Dian Jorgy
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.889

Abstract

The detection of herbal plants plays a crucial role in the utilization of traditional medicine, particularly in the Toba region of Indonesia. This study aims to develop an Android application capable of real-time detection of herbal plants using the YOLOv8 algorithm. The five types of herbal plants targeted in this study are tempuyung, rimbang, papaya leaves, turmeric leaves, and aloe vera. The research methodology includes the collection of a dataset of herbal plant images, which were then labeled using the Roboflow platform. The YOLOv8 model was trained with this dataset to detect herbal plant objects. After training, the model was exported to TensorFlow Lite and integrated into an Android application. Testing was conducted to evaluate the accuracy and real-time detection performance of the application. The results show that the YOLOv8 model achieved a mean Average Precision (mAP) of 92.4%, with optimal real-time detection capabilities on Android devices. The developed application can quickly and accurately detect and identify herbal plants, providing a practical solution for users to recognize herbal plants. This study indicates that the YOLOv8 algorithm is effective for herbal plant recognition applications in a mobile context, opening up opportunities for further development in the integration of AI technology into everyday applications.
Enhancing Mobile Library App User Experience Using HCD and Usability Metrics Siahaan, Ranty Deviana; Sitopu, Tesalonika Aprisda; Marbun, Tabitha Aquila; Bukit, Gerry Benyamin
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1236

Abstract

This study analyzes the improvement of usability metrics and the correlation between usability variables and user experience in the development of a mobile-based digital library application. Using the Human-Centered Design (HCD) approach, the study employed Concurrent Think Aloud (CTA) and Post-Study System Usability Questionnaire (PSSUQ) for usability evaluation. The focus was on four main usability metrics: effectiveness, efficiency, satisfaction, and learnability. The study involved 100 respondents from IT Del students. The results showed significant improvements in all usability metrics: effectiveness increased from 88% to 100%, efficiency rose from 0.087 to 0.148 goals/second, satisfaction improved from 82.05% to 87.05%, and learnability improved with the number of failed tasks reducing from four to zero. Multiple linear regression analysis revealed a strong positive correlation between usability metrics and user experience, with an R² value of 0.665, meaning 66.5% of the variation in user experience can be explained by the usability metrics. All usability metrics positively contributed to improving user experience. These findings confirm that applying HCD and systematic usability evaluation can significantly enhance the quality of digital applications, particularly for mobile-based libraries, and offer valuable insights for the design of digital library apps in higher education contexts.