Rice eating quality is considered to be one of the top priorities in determining the agronomical value of rice. Thus the rapid evaluation of eating quality at early breeding generations in breeding programs for better eating quality is of great importance. However, it has been limited due to the complex nature of eating quality and the absence of standard evaluation method. In our previous study, we developed a evaluation method with a set of DNA markers that allows to predict the eating quality for japonica rices. Here we successfully developed another marker set for the eating quality of indica rices. We used multiple regression analysis to test 54 markers, which were preselected for their possible association with eating quality, using 24 indica varieties with different palatability scores. Of these markers, eighteen markers were found to be significantly associated with palatability according to sensory evaluation. Accordingly, a marker set in the model regression equation with a high R2 (0.997) was formulated to estimate indica rice palatability. Validation suggests that markers and the statistical parameters formulated by the equation could be a potential tool to predict the palatability of cooked Indonesian indica rice and could be reliable in developing country-dependent model equations for eating quality. This work was supported by a grant from the Next-Generation BioGreen 21 Program (Plant Molecular Breeding Center No. PJ008125), Rural Development Administration, Republic of Korea.