Browse Items (33 total)
- Collection: Vol 9 No 5 (2025)
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Application of YOLOv8 Algorithm for Coral Reef Disease Detection as an Effort to Prevent Marine Habitat Damage in Batam
Research in 2019 in Batam City showed that out of 19 coral reef fisheries support facilities, 16 were declared not good. Coral reef damage increased from 36.28% to 39.44%. This is due to the threat of coral reef damage due to international shipping…
Eye Disease Detection and Classification Optimization Using EfficientNet-B5 with Emphasis on Data Augmentation and Fine-Tuning
ye diseases significant global health challenges, underscoring the need for efficient and accurate diagnostic. This study employed the EfficientNet-B5 model to enhance the detection and classification of eye diseases by …
Comparing Data Preprocessing Strategy on T5 Architecture to Classify ICD-10 Diagnosis
Manual ICD-10 coding in healthcare systems remains time-consuming, error-prone, and inefficient, particularly in resource-constrained settings. This study investigates the effect of various preprocessing strategies on the performance of the…
Early Stroke Disease Prediction Based on Lifestyle Factors Applied with Machine Learning
Stroke prediction has many supporting features and variables. Some forecasts focus more on health or elements that are already present. Predicting stroke risk by identifying habitual factors provides more advantages for …
Hyperparameter Tuning with Optuna to optimize the YOLOv11n Model for Weed Detection
Accurate weed detection is essential for maintaining the cleanliness and aesthetic appeal of residential yards. This study aimed to optimize YOLOv11n, a lightweight object detection model, to achieve high precision in weed identification under…
Sentiment Classification on Indodax Using Term Frequency, FastText, and Neural Attention Models
The rapid growth of mobile-based investment platforms such as Indodax has triggered a surge in user-generated reviews that reflect public perception and sentiment. This study aimed to develop and evaluate sentiment classification models…
From Serial to Parallel: Enhancing Needleman-Wunsch Performance through GPU-Based Computing
The increasing demand for faster bioinformatics analysis calls for more efficient approaches for sequence alignment. In this study, we demonstrate that a GPU-based implementation of the Needleman-Wunsch algorithm can achieve up to 14.8× speedup…
Improving Classification Performance on Imbalanced Stroke Datasets Using Oversampling Techniques
Stroke is the second leading cause of death globally and significantly contributes to long-term disability. While machine learning techniques have been increasingly used for early stroke detection, their performance is often limited…
Optimization of Accuracy Improvement through Modified ShuffleNet Architecture in Rice Classification
Accurate rice classification is essential to determine the quality and market value of rice. Traditional methods of rice classification are often time-consuming and error-prone, so a more efficient and accurate solution is needed.…
Optimization Techniques and Programming for Developing Cost-Effective and Balanced Diet Schedules for Preschoolers
Proper nutrition is important for the growth, motor and cognitive development of young children since the foods consumed determine how well-rounded a child's diet is. However, preschool menu planning is complex because it requires …