IMPLEMENTATION OF DATA MINING TO PREDICT THE VALUE OF INDONESIAN OIL AND NON-OIL AND GAS IMPORT EXPORTS USING THE LINEAR REGRESSION METHOD

Indonesia's export-import activities in recent years, the value of exports and imports has decreased due to global conditions. The problems that occur are uncertainty complexity estimating international trade oil gas non-oil sectors, dependence on just one or a few markets, problem unfair competition, competition between business actors can reduce prices. is influenced by several external factors difficult predict, such as fluctuations prices, changes policies, economic factors. prediction results obtained every month from export data using rapid miner application. From data, obtains very high compared values. Then linear regression algorithm obtained. predicted import June 209,162,268, 349,285,781 which more have highest each month.