#TITLE_ALTERNATIVE#

• Main Author: FARHAMSA (NIM 23506023); Pembimbing : Dr. Armi Susandi, M.T. dan Dr. Oerip S. Santoso, M.Sc., DEDY
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/20006
• Institution: Institut Teknologi Bandung

Climate change has become into a global attention, and Indonesia is the one of the country with the most negative risk which is stricken by the impact from the change. One of climate change effect that can be sensed is rain and drought displacement. The friction of the season induces at the intensity of the weather pattern that becomes more extreme. In the other words, the weather pattern is difficult to be predicted.<p>In this thesis, the unstable weather pattern tried to make a model using Least Square non-linear and Fast Fourier Transform (FFT) method. Least Square method was applied to find the best curve which could reflect the weather change data which is happened in the last few years, whilst FFT method was applied to find a repetitive characteristic of a trend from an anomaly of weather. The combination of the both methods could give the best model for the complex weather data. Some methods that took a part in order to produce models in a graph and contour distribution were Lowess & Loess Smoothing and Punctual Kriging. All of the methods are resumed into an integrated software which was called Climate Change Modeling System.<p>Case study for the usage of this Climate Change Modeling System confined only in Jakarta areas and its surroundings. For Cengkareng area, this model could make a prediction of climate change for a few years forwards with the accuracy at 91%. Whereas for Kemayoran area was 76%, Tanjung Priok was 88%, Pd Betung was 66%, and Dermaga Bogor was 84%.