The presence of chaos in rainfall by using 0-1 test and correlation dimension

Rainfall could be favorable for human being. It gives composure to living thing and maintains the balance of the surrounding ecosystem from floods, droughts, and erosion. However, if it involves a large amount of rain, it will cause a great natural disaster. For this reason, projection of rainfall is required as to take precautionary and effective measure can be taken. In case that chaos presence in the data, a model adapting nonlinear dynamic can be used thus an accurate forecasts can be attained. In this research, chaos in rainfall will be dig up by using Correlation Dimension and 0 – 1 Test. In addition, Single Exponential Smoothing will be used to reduce the noise and make the result more accurate. As a result, chaos is presence in the rainfall data.