Interconnection Learning between Economic Indicators in Indonesia Optimized by Genetic Algorithm
Interconnection Learning between Economic Indicators in Indonesia Optimized by Genetic Algorithm
Author : SITI SA'ADAH; GIA SEPTIANA WULANDARI Published on : 6TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND APPLICATIONS (Holiday in Pattaya, Thailand)
Abstract
Economic is important issue in a country, since economic indicates condition of a country itself. Furthermore, economic is knowledge that complex and chaos, since it is conducted by many sectors inside. Because of that, observation of stability economic in a country based on connectivity of economic indicators (in this research is Indonesia) is significantly to do. Based on those reasons, this research is observed not only based on interconnection between indicators economic, but also needed a differential dynamic that had been optimized. So that, in this research had been learned differential dynamic which is optimized using Genetic algorithm (GA). System got 20% until 80% for the accuracy system. The reason of why accuracy 80% was gotten because of using the same characteristics of economic indicators, ex. when system observed GDP and GNP together. Using similar data trend influenced the fitness function in GA able to optimized differential dynamic while doing prediction time series of economic indicators. Whereas, the decrease accuracy around 20% until 40% was came by using different characteristic of economic indicator. It can be found when learning dependable of GDP and Inflation while predict times series for GDP. Based on this research, it can be concluded that GA is able in optimizing learning the dependability of economic indicator???s Indonesia. Moreover, it can be said that using the same characteristic indicator economic give better result for GA to learning the dependability of economic indicator than not. It can be said indirectly that government should concern about value of indicators economic that have the same characteristics when monitoring economic condition.
