Chaos and Complex in Measuring Sustainability of Economic Condition in Indonesia

Economic indicator in Indonesia are GDP (Gross Domestic Product), GNI (Gross National Income), inflation, export and import. These data had been chosen because economic that came from words 'ecos' and 'nomos' consist of value of life which are implemented in them. Based on that reason, it cannot be avoided that chaos and complex will emerge during measure the economic condition. In order to monitor Indonesia's economic, system that predict each of economic indicator had been developed. This concept tried to answer the chaos and complex in real-problem. System did not measure only one indicator independently, instead of involve all of indicators while predict it. So that, non-linear differential dynamic had been used to face this issued. Furthermore, system would predict as time series and optimized using genetic algorithm. By setting parameter probability mutation and probability cross over, this research got accuracy around 30% - 80%. The range of accuracy proved that the system able enough to fit data in finding historical pattern even had to face with chaos and complex. Distribution data and non-linear differential equation are caused of chaos and complex respectively.