WEATHER FORECASTING USING KNOWLEDGE GROWING SYSTEM (KGS)

• Main Author: NURWISESO WIBISONO - NIM : 23514012 , MUHAMMAD
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/23303
• Institution: Institut Teknologi Bandung

The increasing quality of human life requires information to determine weather conditions. Information about weather condition that can be obtained from weather forecasts is very useful for aviation, agriculture, trade and other activities such as tourism, art performances and others. One of the methods used in conducting weather forecasts is Data Mining technique. Many attempts to make weather prediction model using Data Mining has been done in previous researches. Those research proves that weather forecast can be done by using Data Mining technique. Nevertheless, the precision of forecasts has always been a challenging issue, allowing researchers to find more precise weather forecasting techniques. <br /> <br /> <br /> In this study, weather forecasts were made using a new Artificial Intelligence method called Knowledge Growing System. The Knowledge Growing System utilizes weather indication criteria as the basis of weather forecasts. The weather indication criteria will be formulated based on the expert opinion of the weather and the use of the Decision Tree method in Data Mining. This study will measure the accuracy of the Knowledge Growing System in conducting weather forecasts. Weather forecasts are conducted using Synoptic Weather Data 2012 to 2016. <br /> <br /> <br /> The conclusion of this research is Knowledge Growing System can be used as a method to make weather forecast. With the formulation of problem criteria, the preparation of a good scenario Knowledge Growing System is able to provide weather prediction with a high degree of accuracy. However, Knowledge Growing System requires weather indication criteria so that the need for formulation of weather indication criteria by weather experts.