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Combustion phenomena can be found in numerous aspect of our life, starting from the combustion in the engines and power plants that drive our modern world to the chemical reactions in our atmospheric and the surrounding environmental systems that sustain our life. Understanding these combustion phenomena are essential to give us many advantages, from advancing energy efficiency, reducing emissions, and solving global challenges such as climate change. While experimental methods give us invaluable insight about the reacting flows, they are often limited by high costs, safety concerns, and inability to capture detailed phenomena. Computational simulations give complementary approach, enabling us to explore detailed phenomena and test a wide range of conditions. In 1988, a new computational fluid dynamic method called Lattice Boltzmann Method (LBM) was introduced. The lattice Boltzmann method (LBM) has became popular as a powerful computational technique for simulating fluid flow and transport phenomena in a wide range of applications. The LBM for reacting flow modelling has been developed in several research over the last two decades. However, the kinetic models for reacting flow that have been already proposed before still have several limitation, such as using non-general diffusion model, neglecting species partial viscosity and lack of mathematical proof. Hence, in this research, we developed consistent lattice Boltzmann method to simulate reacting flow that uses Stefan-Maxwell diffusion model and at the same time includes the species partial viscosity. We have validated the proposed method with several test case, showing that the proposed method can be used to model reacting flow with good accuracy. However, due to inherent numerical stability obtain from the LBM, the proposed method needs finer mesh size compared to the conventional numerical method. Thus, solving this issue will be done on future research.