Penentuan Harga Tandan Buah Segar (TBS) Kelapa Sawit Menggunakan Metode Fuzzy Logic

The purpose of this study is to create a system for determining the price of oil palm fresh fruit bunches using the Fuzzy Logic method. Oil palm plantations are plantations that have natural resources that can generate large profits, which are used as cooking oil and much more. Palm oil FFB consists of Crude Palm Oil (CPO), which is fruit flesh oil and Palm Kernel (PK), which is the kernel of palm oil. This research makes the system use 5 input variables that is CPO price, IKS price, K Index, CPO Rendemen and IKS Rendemen, and one output variable which is the price of oil palm FFB. This system uses the Fuzzy Logic method because in this study there is fuzzy that can be determined, namely the price of oil palm-based TBS. This system uses 100 data to request using MAPE so that a percentage value is 85.75%. While the average value of the difference between the actual data and the results of the fuzzy Mamdani data is 17852 with an average percentage of errors of the fuzzy Mamdani data is 14.25%. The result of this system is the variable price of oil palm FFB output based on 5 variable inputs. The Mamdani Fuzzy Logic method determines the outcome of an uncertain value. Fuzzy logic starts from the formation of fuzzy sets, then implications, then rules, and then defuzzification.