Reny Sukmawani

Predicting Sustainable Food Consumption Patterns to Strengthen Regional Food Security: An Artificial Neural Network–Based Machine Learning Approach in Sukabumi Regency, Indonesia

Reny Sukmawani, Sri Ayu Andayani, Mai Fernando Nainggolan, Wa Ode Al Zarliani, Endang Tri Astutiningsih

Accurate prediction of food consumption is essential for strengthening regional food security planning, particularly in areas experiencing increasing food demand and environmental uncertainty. This study aims to predict food consumption patterns in Sukabumi Regency, West Java, In…Read more