The SME performance recommendation system facing the 4.0 industrial revolution uses the Fuzzy ANP method

Abstract

Abstract Madura is one of the regions in East Java Province whose economy is supported by the SME sector. Industrial Revolution 4.0, this refers to the concept of using the internet for various things, as well as cloud-based and smart manufacturing. The agency has difficulty in identifying needs of Batik UKM, so a performance recommendation model for Batik SMEs is needed to assist Dinas and UKM players in making decisions to determine the performance improvement of Batik SMEs. The purpose of this study is to determine recommendations by measuring the performance of MSMEs in facing the industrial revolution 4.0. This performance measurement is based on 9 indicators, namely Employee Training or SME owners, Number of Batik Motif Variations, Number of Consumers, Product Brands or Branding, Owner Education, Number of Information Technology Certified Employees, Owning a Markerplace, Online Marketing, and Online Payment. The method used in this research is the FANP method. Fuzzy has excellent performance, the decision-making process is more flexible, and is able to handle data that contains uncertainty and inaccuracy by making decisions based on many criteria. The advantage of ANP is that there is dependence and feedback between each criterion, so that all criteria are calculated proportionally. The results of this study are the weighting of priority indicators on all indicators that affect the industrial revolution 4.0. Based on the research and consistency ratio tests, the main indicators needed for SMEs in Bangkalan Madura to face the industrial revolution 4.0 are marketplace, online marketing and information technology certified employees.