Vol 9 No 3 (2025)
Dublin Core
Title
Vol 9 No 3 (2025)
Collection Items
Classification of Red Foxes: Logistic Regression and SVM with VGG-16, VGG-19, and Inception V3
Deep learning models demonstrate a high degree of accuracy in image classification. The task of distinguishing between various sources of red fox images—such as authentic photographs, game-captured images, hand-drawn illustrations,…
Comparative Evaluation of Preprocessing Methods for MobileNetV1 and V2 in Waste Classification
Waste management remains a critical challenge for many countries, including Indonesia, which ranks as the world's second-largest contributor of waste. As tens of millions of tons are produced each year and the management system remains ineffective,…
University Students Stress Detection During Final Report Subject by Using NASA TLX Method and Logistic Regression
Stress is a psychological response that occurs when someone faces pressure or demands that exceed their ability to adapt. In the context of a final-year student, stress is often a significant problem due to academic pressure, such as…
Expertise Retrieval Using Adjusted TF-IDF and Keyword Mapping to ACM Classification Terms
In an era of collaboration, knowing someone's expertise is becoming increasingly necessary. Recognizing individuals' proficiency can be challenging because it requires considerable manual time. This study explores the expertise …
Developmentof aDocument-Based Gait System With Interactive Visualisation forClinical Analysis
Gait analysis is a crucial aspect of biomechanics and medical rehabilitation, used to detect movement disorders, assess therapy effectiveness, and understand human walking patterns. In Indonesia, gait research remains limited, with most data sourced…
XGBoost Algorithm for Cervical Cancer Risk Prediction: Multi-dimensional Feature Analysis
Cervical cancer continues to pose a significant global health challenge, with early detection remaining the cornerstone for effective intervention. This study is situated at the intersection of clinical oncology and computational…
Improving Frame-based Engagement Classification in E-Learning Using EfficientNet and Normalized Loss Weighting
Engagement can be defined as how individuals are involved in and interact with a task that requires attention and emotional conditions. Engagement is an affective state positively correlated with learning processes. Engagement along with…
Forecasting Stock Returns Using Long Short-Term Memory (LSTM) Model Based on Inflation Data and Historical Stock Price Movements
The stock market is crucial for economic growth and development, offering profit opportunities that attract investors worldwide. However, its inherent volatility necessitates the inclusion of macroeconomic indicators like inflation,…
The Impact of Cancer on Poverty: An Analytical Study Using Big Data and OLS Regression
Cancer is one of the leading causes of death worldwide and has a significant impact on the economic condition of families, especially in developing countries. High medical costs and loss of work productivity often push families of patients with…
Obesity Status Prediction Through Artificial Intelligence and Balanced Label Distribution Using SMOTE
Obesity, a global health challenge influenced by genetic and environmental factors, is characterized by excessive body fat that increases the risk of various diseases. With over two billion individuals affected worldwide, addressing this issue is…