Triando Hamonangan Saragih, Wayan Firdaus Mahmudy, Abdul Latief Abadi, Yusuf Priyo Anggodo
Jatropha Curcas is a plant that has many functions and uses for everyday purposes such as biodiesel and beauty tools, but this plant can not can also be separated from the disease. Expert systems can be applied in identifying so as to help both farmers and extension workers to identify disease. The method that can be used one of them is the method of Extreme Learning Machine. Extreme Learning Machine has been done and the results of accuracy given still need improvement. Optimizing the value of weight on Extreme Learning Machine can improve the accuracy value. Optimization done using Simulated Annealing and using decision tree gives better result than before, with best accuracy average 90%,95% and maximum accuracy equal to 94%,74%. © 2018, International Center for Scientific Research and Studies.
Faculty of Computer Science, Brawijaya University, Malang, Indonesia; Faculty of Agriculture, Brawijaya University, Malang, Indonesia; Data Analyst, Ilmuone Data, Jakarta, Indonesia
