This research aims to improve the accuracy of forecasting the value of oil and gas imports in Indonesia using the Fuzzy Time Series Markov Chain (FTSMC) method optimized with the Particle Swarm Optimization (PSO) algorithm. The FTSMC method is applied to analyze historical data of oil and gas imports and make predictions, while PSO is used to optimize model parameters. The results showed that t…