The increasing demand for global energy and declining oil reserves have driven the search for alternative biofuel as fossil fuel replacement. This study proposes new blends of a light biofuel based on Melaleuca Cajuputi oil (MCO) and refined palm oil (RPO) that has lowered viscosities and densities properties as compared to neat RPO. In addition, a statistical approach using mixture design method was used in the design of experiment (DOE) to evaluate the correlation between the ratio of RPO-MCO blends on their kinematic viscosity and density properties. Based on the mixture design algorithm, a total of eight experimental runs were conducted consisting of three combinations of RPO-MCO blends, two neat oils and three replicate samples. A good fit between the developed model and the experimental data was obtained for the models of kinematic viscosity and density, with corresponding R-2 values 0.9992 and 0.9998, respectively. Discrepancies in the predicted values to the experimental results were within 0.1 -2.5%, validating the accuracy of the developed models. The optimal blend calculated is 32RPO68MCO which gives 5.9 mm(2)/s and 881.5 kg/m(3) for the response values of kinematic viscosity and density, respectively. Both responses values satisfy the requirement of the ASTM D6751/EN14214 standard for biodiesel. (C) 2018 Elsevier Ltd. All rights reserved.