Selamet Riadi

Prediction of Forest Fires Based on Hotspots and Climate Using the Random Forest Algorithm

Forest fires pose a serious threat to ecosystems, biodiversity, and surrounding communities, making early prediction important for supporting mitigation and management efforts. This study applies the Random Forest algorithm to predict forest-fire likelihood using climate variables, including rainfall, solar radiation,...

Prediction of Forest Fires using Machine Learning Algorithm

Production Process Optimization with Lean Manufacturing Integration to Reduce Waste in Manufacturing Industry

This research aims to optimize the production process by integrating Lean Manufacturing to reduce waste in the manufacturing industry. The methods used are case studies and quantitative data analysis using statistical techniques and Lean Manufacturing methods. The research results are expected to improve production eff...

A Dual-Pipeline Imbalance-Robust Framework for SMS Spam Detection: Achieving Flawless Precision via SMOTE-Augmented Ensembles with Rigorous Statistical Validation

This study presents a rigorous dual-pipeline machine learning framework that systematically addresses the challenges of class imbalance in statistical text mining and establishes a highly scalable, mathematically verified, and low-latency solution suitable for integration into real-time telecom filtering gateways.