Data Acquisition System Which Applied To the Growth of Palm Oil Using Mamdani Adaptif Neural Fuzzy (M-ANFIS)

The data acquisition device can be used to acquire the analogical and digital signals such as a control variable period of growth of oil palm trees with tall stems knowing commonly called a biological signal. In this case, we will apply it to control the growth rate of oil palm plantations. Oil palm growing conditions can be monitored more carefully using the data acquisition (DAQ). DAQ devices have analog inputs that can process data measurement instruments, such as the rate of growth of oil palm plantations. Control of the data acquisition system using adaptive neuro fuzzy methods (ANFIS). In this research, we make a comparison of data acquisition using ANFIS method with data acquisition without ANFIS method. Data acquisition is expected to know the tall of the stems of oil palm trees with three categories to 5cm to 10 cm, the status of planting, 11 cm to 200 cm treatment status and 200 cm to 300 cm harvest status. Without using ANFIS method, the resulting data acquisition can not know the status of the harvest with a reading error rate of 0.9, while using ANFIS method of data acquisition can know the status of the harvest with an error rate of reading data on the plant by 0,084 on a long learning (epoch) of 9. Without using ANFIS method, the resulting data acquisition can not know the status of the harvest with a reading error rate of 0.9, while using ANFIS method of data acquisition can know the status of the harvest with an error rate of reading data on the plant by 0,084 on a long learning (epoch) of 9. For epoch level attempted level from 1 to 11, in epoch 1 to 8 instructional error rate for 0274, as well as epoch to 10 and 11.