Browse Items (20 total)
- Collection: Vol 9 No 1 (2025)
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Advancing Hate Speech Detection in Indonesian Language Using Graph Neural NetworksandTF-IDF
Most of thehate speech and abusive content on social media, particularly in the Indonesian language, presents significant challenges for content moderation systems. Previous research has applied machine learning models such as Recurrent Neural…
Agricultural Cultivation Cost Prediction Using Neural Networks and Feature Importance Analysis
Agriculture is one of the most important sectors integral to human civilization, and technological adaptation is necessary to maintain its quality. This research aims to achieve high productivity in the agricultural sector by using neural…
Ant Colony Optimization for Jakarta Historical Tours: A Comparative Analysis of GPS and Map Image Approaches
The Traveling Salesman Problem (TSP) is a problem that represents a difficult combinatorial optimization problem starting from practical problems. The ant colony optimization (ACO) algorithm is implemented in several topics, particularly in solving…
Application of VGG16 in Automated Detection of Bone Fractures in X-Ray Images
The purpose of this research is to determine whether or not a deep learning model called VGG16 can automatically identify bone fractures in X-ray pictures. The dataset, sourced from Kaggle, includes 10,522 images of human hand and foot bones, which…
CNNPerformanceImprovement forClassifying Stunted Facial ImagesUsingEarly Stopping Approach
Stunting, a condition characterisedby short stature, is a growth disorder caused by chronic malnutrition, which often begins in the womb. Children affected by stunting usually show different physical and cognitive characteristics …
Comparison of Transfer Learning Architecture Performance for Indonesian Auction Object Classification
The Indonesian auction, one of the sources of Indonesia's income for Non-Tax State Revenue (PNBP), faces challenges in accurately classifying auction objects, limiting revenue optimisation. This research aims to compare the…
Comparison of Transfer Learning Model Performance for Breast Cancer Type Classification in Mammogram Images
Globally, breast cancer is the type of cancer that most women suffer from. Early detection of breast cancer is very important because there is a big chance of cure. Mammography screening makes it possible to detect breast cancer early. The study of…
Enhancing Network Security: Evaluating SDN-Enabled Firewall Solutions and Clustering Analysis Using K-Means through Data-Driven Insights
In the face of escalating and increasingly complex cyber threats, enhancing network security has become a critical challenge. This study addresses this issue by investigating the optimization of SDN-enabled firewall solutions using a …
Enhancing Premier League Match Outcome Prediction Using Support Vector Machine with Ensemble Techniques: A Comparative Study on Bagging and Boosting
Predicting football match outcomes is a significant challenge in sports analytics, requiring accurate and resilient models. This study evaluates the effectiveness of ensemble techniques, specifically Bagging and Boosting, in enhancing the performance…
Evaluating Transformer Models for Social MediaText-Based Personality Profiling
This research aims to evaluate the performance of various Transformer models in social media-based classification tasks, specifically focusingon applications in personality profiling. With the growing interest in leveraging social…