Optimization of Supply Chain Management in E-Commerce MSMEs Based on Artificial Intelligence to Increase the Competitiveness of MSMEs in North Sulawesi Marike Amelda Silvia Kondoj- Toban Tiku Pairunan- Fitria Claudya Lahinta- Viltie Wensen
a) Informatic Engineering, Manado State Polytechnic
b) Informatic Engineering, Manado State Polytechnic
c) Informatic Engineering, Manado State Polytechnic
d) Informatic Engineering, Manado State Polytechnic
Abstract
Micro, small and medium enterprises (MSMEs), including North Sulawesi, have a strategic role in the national economy. Human resources, technology, and supply chain management are needed to increase the productivity of MSMEs. MSMEs in North Sulawesi could have been more optimal in producing products according to consumer needs. This research is urgent to create an integrated supply chain management system to support raw material procurement activities and product delivery to consumers to minimize and maximize consumer value and competitive profits so that MSMEs can compete in the global market. The system is created using PHP and MySQL programming. This study tested the experimental method on a laboratory scale and with relevant partners. Use the Support Vector Machine (SVM) method for supply chain management. The test results prove that the supply chain management system created can display the calculation of estimated stock requirements and raw material estimates calculated based on composition data. Therefore, this system is suitable for use and can be developed according to the needs of MSMEs.
Keywords: MSMEs, supply chain, integrated, SVM, North Sulawesi.
