Browse Items (28 total)
- Collection: Vol 9 No 3 (2025)
Sort by:
UDAWA Gadadar: Agent-based Cyber-physical System for Universal Small-scale Horticulture Greenhouse Management System
Digitalization inagriculture is becoming increasingly important for improving efficiency and sustainability, but small-scale farmers often face difficulties in adopting digital technologies because of various constraints. This study proposes an…
The Effect of Hyperparameters on Faster R-CNN inFace Recognition Systems
Facial recognition remains a significant challenge in the advancement of computer vision technologies. This research seeks todevelop a facial recognition system utilizing the Faster R-CNN architecture, with performance enhancement achieved through…
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…
Automatic Classification of MultilanguageScientific Papersto the Sustainable Development Goals Using Transfer Learning
The classification of scientific papers according to their relevance to Sustainable Development Goals (SDGs) is a critical task in identifying the research development status of goals. However, with the growing volume of scientific literature…
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 …
Performance Comparison of Monolithicand MicroservicesArchitecturesinHandlingHigh-Volume Transactions
Monolithic and microservices are two distinct approaches for designing and developing applications. However, these architectures exhibit contrasting characteristics. In monolithic architecture, all components of an application form a…
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,…
Optimizing Sensitivity in Machine Learning Models for Pediatric Post-operative Kyphosis Prediction
Post-operative kyphosis represents a significant complication following pediatric spinal corrective surgery, necessitating sophisticated prediction methods to identify high-risk patients. This study developed and evaluated machine learning…
A New Framework for Dynamic Educational Marketing Segmentation in Student Recruitment: Optimizing Fuzzy C-Means with Metaheuristic Techniques
An effective educational marketing strategy requires accurate school segmentation to enhance new student recruitment. Traditional segmentation methods such as K-means are often used, but they have limitations in capturing …
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…