This study aims to optimize profits and minimize losses from product sales at X Market has achieved in the future. The data used in this study were obtained directly from X Market Trade by observing and interviewing. X Market Tradingis one of the industries that produces and sells food products to be marketed in the region and outside the region. The data to be processed is the result of the sale of food products at X Market uses the adaptive neuro fuzzy inference system (ANFIS) method which is a combination of Fuzzy Logic and Artificial Neural Networks. The data used is monthly sales data from 2018 to 2020 as many as 36 data. From a total of 36 data, it will be divided into 2 types of training and test data distribution, namely 90:10 with a total of 60 epochs and a learning rate range of 0.1 – 0.9. From the research results obtained the highest accuracy of 88.55% on 90% training data and 10% test data with a learning rate of 0.6. It was concluded that the ANFIS method could be implemented in predicting the sales of tofu. By doing this research is expected to provide input to X Market in optimizing profits and minimizing losses from product sales in the future.

The development of cafe business is increasingly rapid, demanding that the cafe always create innovations and new concepts that are able to attract more consumers. The main key in attracting consumers in addition to innovation and new concepts is the ability of cafes to provide satisfaction to consumers. The purpose of this research is to find out whether customers are satisfied with the service at Pasco Cafe. The method used in this study is the Fuzzy Tsukamoto method. Data was collected by distributing questionnaires / questionnaires to 150 customers at Cafe Pasco. The variables used to assess satisfaction given by the Cafe to consumers are infrastructure (X), price (Z) and service (Z). Where infrastructure has criteria (complete and incomplete [1; 9]), prices have criteria (cheap, normal and expensive [1; 6; 9]) and services have criteria (satisfied and dissatisfied [2; 9]. example of infrastructure cases has a value of 6 and the price has a value of 5. The results of the assessment of customer satisfaction with service in the Cafe Pasco category satisfied with a value of 5.2462