The purpose of this research is to help MSMEs take the right strategies to improve their business performance. And Expert Analysis using Fuzzy Logic Tahani System can measure performance and provide convenience in its use. Fuzzy input consists of financial perspective, customer perspective, internal business process perspective and learning perspective and grocery store growth. While the next non-fuzzy variable is weighting each perspective determined by the domain expert. From the simulation results based on the data on respondents number 1 (one) for the final value (Na) of 84.0625 by using rounding integers to 84, then when using the rules of membership functions, the calculation is as follows: μ_ (Less) [x] = 0; x≥75, so the result is 0, μ_ (Enough) [x] = ((85-x)) / 10; 75 ≤x ≤85, so the result is 0.1, μ_ (Good) [x] = ((x-75)) / 10; 75 ≤x ≤85, so the result is 0.9. From the results of the above calculations, it can be concluded that the performance of Micro, Small and Medium Enterprises (MSMEs) in this respondent is "GOOD". And this is in accordance with the results of the liner regression calculation which also shows the "GOOD" category results.