Soil quality (SQ) can change due to management practices and the inherent properties of soil. SQ can not be measured directly; therefore, it needed the indicators to be evaluated. Not all of soil attributes serve as indicators. Designed for sustainability of agriculture, the objectives of this study are (i) to determine the SQ indicator minimum data set (MDS) of corn field, (ii) to assess changes of SQ due to management practices. Three varieties of corn, Local Kima, Sukma Raga, and Bisi-2 were grown applied factorial multilocation design on three soil series, Clay Loam Typic Hapludoxs (CLTH), Clay Loam Plinthic Kandiudults (CLPK), and Clay Loam Plinthic Hapludoxs (CLPH) in Panyipatan Tanah Laut South Kalimantan. The 17 number of soil attributes sampled on 0 – 15 cm soil surface were analyzed using the multivariate analysis of variance (manova) followed by principal factor analysis (PFA) of SAS 6.12 (SAS Inst., 1996). Combined with expert system of the Soil Management Assessment Framework (SMAF), step by step analysis of manova and anova(α < 0.05), followed by factor analysis to see the amount of variance explained by each factor (eigenvalue > 1), the study revealed that the indicators supposed to be included in MDS are Bulk density (BD), available water capacity (AWC), total organic carbon (TOC), soil pH (reaksi tanah), and soil P (phosphor). Used the SMAF equation, it is found that the SQ index of CLTH, CLPK, and CLPH in Panyipatan are respectively 74.46, 69.47, and 54.00.