Skip to content
Log in
Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Diana Purwitasari

h-index 6 View on Semantic Scholar

We have 3 of 73 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Aug 2026

Weight-Based Oversampling and Overlapping Data Modification for Imbalanced Student Dropout Prediction

Predicting student dropout in higher education is challenging due to class imbalance and class overlap, particularly in multiclass classification. This study presents a hybrid method that combines weight-based oversampling and energy-based cleaning to address class imbalance and class overlap. The method generates synt...

Rahmad Hidayat, Diana Purwitasari, Ahmad Saikhu et al. · 0 citations
Jul 2026

Conflict Detection of Functional Requirements Based on Clustering and Rule-Based System With Multi-Agent Escalation

Conflicts in functional requirements are a common problem in software development. Conflicts often lead to inconsistencies and failures in the design or implementation stages. Although the combination of clustering and a Rule-Based System (RBS) can narrow the scope of conflict checking, its accuracy is not optimal when...

Andrea Bemantoro Jati, Sarwosri, Diana Purwitasari · 0 citations
Open access Jul 2026

Ensemble Oversampling for Financial Fraud Classification of Imbalanced Data

The combined oversampling of GAN and SMOTE with the CNN classifier model produces the highest evaluation score, and shows that augmented data quality does affect prediction performance, and Ensemble Oversampling technique could be considered to improve classifier performance in financial fraud data.

Moch Deny Pratama, A. Raharjo, Diana Purwitasari · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.