Jurnal Matematika Integratif
Vol 13, No 2: Oktober, 2017

Simulation and Prediction of Rainfall and Crop Yield in West Java Using ANFIS

Ruminta Roem (Fakultas Pertanian Universitas Padjadjaran, Jl. Raya Bandung Sumedang KM 21 Jatinangor Sumedang 45363)
Tati Nurmala (Fakultas Pertanian Universitas Padjadjaran, Jl. Raya Bandung Sumedang KM 21 Jatinangor Sumedang 45363,)



Article Info

Publish Date
26 Sep 2017

Abstract

Simulation of numerical data for prediction purposes is very important for the planning and anticipation of the future, for example, prediction data of rainfall and agricultural production. There are various models to simulate and forecast the numerical data, one of which is a artificial intelligence model using ANFIS. In this connection it has studied a simulation and prediction of rainfall and agricultural production in West Java using ANFIS. The study uses data of rainfall and crop production. The method of this study is descriptive explanatory which is a type of quantitative analysis. Numerical data were analyzed using ANFIS of the Software Matlab 8.0. The study results showed that ANFIS can simulate rainfall and crop yield with highly accurate and has the potential to be used as one of the alternative model to predict rainfall and crop yield in West Java

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Journal Info

Abbrev

jmi

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Mechanical Engineering Transportation

Description

Jurnal Matematika Integratif (JMI) is a national journal intended as a communication forum for mathematicians and other scientists from many practitioners who use mathematics in research. JMI received a manuscript in areas of study mathematics widely, and math-based multidisciplinary studies derived ...