Penentuan Jumlah Produksi Shampo Dengan Fuzzy Inference System Sugeno: Studi Kasus PT. Guardian Pharmatama Tangerang
Keywords:
Fuzzy Logic, Artificial IntelligenceAbstract
Maximum profit is obtained from maximum sales. If the number of products produced by the company exceeds the number of requests, the company will lose the opportunity to get maximum profit and vice versa. Therefore, planning the number of products at the Sarinda Bread Factory is very important. In order to meet market demand appropriately and in the appropriate amount. Factors that need to be considered in determining the number of products, among others: the amount of inventory and the amount of demand. The writing and discussion in this research is about the Fuzzy inference system of the Sugeno method, the application of the Fuzzy inference system of the Sugeno method to determine the amount of production based on demand and inventory data where the data from this writing is obtained from the Sarinda Bread Factory using Matlab. To make a program design that is expected to be applied and used, thus helping the process of production quantities based on inventory data and at the Sarinda Bread Factory. Fuzzy Logic Sugeno's method in determining the amount of bread production based on data supply and the number of requests that have been built can be used to assist companies in making decisions with the truth reaching 86.92165%.
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