Optimalisasi Pemanfaatan Limbah Agroindustri Menggunakan Bioproses Berbasis Kecerdasan Buatan dalam Kerangka Ekonomi Sirkular

Abstract

The increasing volume of agro-industrial waste resulting from the expansion of agricultural production and food processing activities requires more sustainable management strategies. This article aims to analyze the optimization of agro-industrial waste utilization through artificial intelligence-based bioprocesses within the framework of the circular economy. The study employs a systematic literature review approach by examining scientific publications related to agro-industrial waste, biorefinery technologies, artificial intelligence, and circular bioeconomy systems. The findings indicate that agro-industrial waste possesses significant potential to be converted into bioenergy, biohydrogen, biomaterials, and other value-added bioproducts. However, the heterogeneous nature of biomass and the complexity of biological processes often limit production efficiency. The integration of artificial intelligence has demonstrated substantial potential to improve system performance through process parameter prediction, operational optimization, real-time data analysis, and data-driven decision-making. This article argues that artificial intelligence functions as a strategic enabler that enhances bioprocess efficiency while accelerating the implementation of circular economy principles through improved resource efficiency and value recovery from waste streams. The study contributes by developing a conceptual framework that integrates agro-industrial waste management, bioprocess technologies, artificial intelligence, and circular economy principles as a foundation for sustainable bioeconomy development.