Poverty Classification in Indonesia Using BiGRU, BPNN, and Stacking AdaBoost Frameworks

• Main Authors: Khalisha, Ariyani, Silvia, Ratna, M., Muflih, Haldi, Budiman, Noor, Azijah, M.Rezqy, Noor Ridha
• Format: Article
• Language: English; English
• Published: INTI International University 2024
• Subjects: GF Human ecology. Anthropogeography; QA75 Electronic computers. Computer science; QA76 Computer software
• Online Access: http://eprints.intimal.edu.my/2050/1/jods2024_51.pdf; http://eprints.intimal.edu.my/2050/2/591; http://eprints.intimal.edu.my/2050/; http://ipublishing.intimal.edu.my/jods.html

This research addresses the persistent global challenge of poverty, with a specific focus on Indonesia, a nation with a population exceeding 270 million. The primary objective is to enhance the precision and reliability of poverty classification using advanced machine learning technologies. We em...