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Author

Nur Alamsyah

3 papers indexed here

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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. · 0 citations
Open access Aug 2026

SHAP-ALE: A Novel Approach to Explainability in Mental Health Prediction using RFR

This study highlights the contribution of SHAP-ALE as a hybrid explainability framework that integrates local and global interpretability, enabling a more comprehensive understanding of feature interactions and non-linear effects beyond the capabilities of individual methods.

Nur Alamsyah · 0 citations
Open access Aug 2026

FINANCIAL DISTRESS PREDICTION USING THE DECISION TREE METHOD IN MANUFACTURING COMPANIES IN INDONESIA

This study aims to predict financial distress in Indonesian manufacturing companies using the Decision Tree method. A quantitative predictive design was applied to secondary data from the annual financial statements of manufacturing companies listed on the Indonesia Stock Exchange during 2020–2024, yielding 612 firm-ye...

A. Sudrajat, Hani Fitria Rahmani, Nur Alamsyah · 0 citations

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