Browse Items (10 total)
- Collection: VOL. 18 NO. 2 (2025)
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Comparative Evaluation of Database Systems for High-Volume Seismic Prediction Data Management in Real-Time Applications
The Earthquake Early Warning System (EEWS) plays a pivotal role in mitigating structural damage and minimizing casualties by issuing alerts prior to the arrival of destructive seismic waves (S-waves), through the detection of the earlier and faster…
Context-Aware Detection of Deceptive Design Patterns in E-Commerce Websites Using Word Embedding Based Deep Learning Paradigms
Deceptive designs (DDs) are a hidden technological tactic that manipulates the user's consumer behavior in a way that benefits website vendors without them knowing. Proper identification of deceptive designs is essential to prevent users from being…
Comparing ASM and Learning-Based Methods for Satellite Image Dehazing
Recent advancements in optical satellite technologies have significantly improved image resolution, providing more detailed information about Earth’s surface. However, atmospheric interference, such as haze, is still a major factor in image capture.…
Attention-based Residual Long Short-Term Memory for Earthquake Return Period Prediction in the Sulawesi Region
Indonesia, particularly the Sulawesi region, experiences significant seismic activity due to its position at the convergence of three major tectonic plates. This study seeks to construct a model for predicting earthquake return periods in the…
YOLOv11 Model as a Smart Solution for Waste Identification and Classification in Automated Waste Management System
Urbanization and population growth present significant challenges for efficient and sustainable waste management. This research develops an IoT-based intelligent system for waste classification and
management utilizing RFID technology, ESP32, a…
management utilizing RFID technology, ESP32, a…
Application of Machine Learning Methods for Classification of Gamma and Hadron Signals in High Energy Particle Detection
A major challenge in particle physics is the binary classification of high-energy gamma signals against
a complex hadron background. Accurate dentification of these gamma signals is critical for particle detection, especially as the volume and…
a complex hadron background. Accurate dentification of these gamma signals is critical for particle detection, especially as the volume and…
Analysis of Coding Stress Impact on Students Programming Skills with Random Forest and C4.5 Algorithms
Students' stress often impedes their advancement in programming, which demands logical reasoning,
an understanding of algorithms, and a firm grasp of basic concepts. This research intends to pinpoint
the elements that affect students' programming…
an understanding of algorithms, and a firm grasp of basic concepts. This research intends to pinpoint
the elements that affect students' programming…
Classification of Economic Activities in Indonesia Using IndoBERT Language Model
Classification of economic activities plays a vital role in understanding, analyzing, and managing complex economic processes in a society or country. It facilitates economic analysis, data collection, policy formulation, and informed…
Indonesian License Plate Detection and Recognition System using Gaussian YOLOv7
In recent years, Automatic License Plate Recognition (ALPR) systems have garnered attention in computer vision research. However, practical applications face challenges such as inconsistent lighting diverse license plate designs, and environmental…
A Hybrid Vision Transformer Model for Efficient Waste Classification
The rapid and accurate sorting of municipal waste is essential for efficient recycling and sustainable
resource recovery. Most existing AI solutions focus only on four common materials (plastic, paper,
metal, and glass), overlooking many other…
resource recovery. Most existing AI solutions focus only on four common materials (plastic, paper,
metal, and glass), overlooking many other…