Author

Budiman

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Open access Sep 2026

Feature Selection and Data Imbalance Handling for Breast Cancer Classification Using the Wisconsin Diagnostic Breast Cancer (WDBC) Dataset

Data quality is one of the factors that influence the performance of machine learning algorithms in classification tasks. Issues such as a high number of features and class distribution imbalance can lead to a decrease in accuracy and the model's ability to recognize data patterns. This study aims to analyze the impact...

Yoga Rizki Rahmawan, Budiman · Bulletin of Intelligent Mach... · 2 citations

Open access Aug 2026

REINFORCEMENT LEARNING-BASED DYNAMIC PRICING IN A STOCHASTIC DEMAND–SUPPLY ENVIRONMENT

Dynamic pricing in ride-sharing platforms must balance revenue generation with stable pricing decisions under changing demand and supply. This study aims to develop and evaluate a reinforcement learning-based dynamic pricing policy that maximizes expected revenue while reducing abrupt policy-level price adjustments. A...

Nur Alamsyah, Budiman, Almira Nurchawilah et al. · JITK (Jurnal Ilmu Pengetahua... · 0 citations

Jul 2026

Toward Intelligent Accounting: An Explainable Machine Learning Framework for Risk-Oriented Transaction Outcome Prediction

The evaluation of accounting transactions is increasingly challenging due to the growing volume of financial records, severe class imbalance, and the limited transparency of existing audit support systems. Many current machine learning approaches emphasize prediction accuracy while providing insufficient interpretabili...

J. K. Siregar, Astari Dianty, Antonius Bimo Rentor et al. · International Seminar on Int... · 0 citations