Vol 8, No 4
Regular Issue: December 2025

Dublin Core

Title

Vol 8, No 4
Regular Issue: December 2025

Collection Items

A Text Classification Approach for Detecting Cyberbullying Risk on<br /><br /> Twitter Using Support Vector Machine with Naive Bayes and Random<br /><br /> Forest Comparison
The rapid development of social media as a means of digital interaction also presents serious challenges in the form of the spread of negative
content, including cyberbullying. Cyberbullying is a form of verbal violence committed online and has a…

A Comparative Analysis of Machine Learning Classifier of Anemia<br /><br /> Diagnosis Based on Complete Blood Count (CBC) Data
Anemia is a prevalent hematological condition that requires accurate and timely diagnosis to ensure effective treatment. This study aims to
compare the performance of several machine learning algorithms Random Forest, Support Vector Machine (SVM),…

An Analysis of the Relationship Between Social Media Usage Intensity and<br /><br /> Anxiety Levels Among University Students Using a Quantitative Approach
The rapid development of social media has significantly influenced students' communication patterns and daily habits. While it offers ease in
accessing information and interacting with others, excessive use of social media can negatively affect…

Predicting Demand for MSME Products Using Artificial Neural Networks<br /><br /> (ANN) Based on Historical Sales Data
Accurate demand forecasting plays a crucial role in supporting inventory and sales strategies, particularly for Micro, Small, and Medium
Enterprises (MSMEs) that often face resource constraints. This study aims to develop a predictive model using…

Customer Segmentation Using an Enhanced RFM–K-Means Framework on<br /><br /> The Online Retail Dataset
Effective customer segmentation is crucial for online retailers to enhance marketing strategies and boost profitability. However, analyzing
transactional data often reveals challenges, such as noisy records and incomplete temporal patterns, which…
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