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Improvement of Textile Industry system design with Six Sigma and FMEA to improve process quality. Six Sigma is a method of continuous quality improvement, by minimizing the number of defects. FMEA (Failure Mode Effect Analysis) tool is used to help determine the appropriate action, eliminating priority failure modes. The next step to improve to determine the most influential factor to the occurrence of color defects, so that the influence of the interference factor is minimum. If the control function is carried out and the factors causing the defect do not appear again there will be an increase in sigma value. FMEA analysis results obtained by machine temperature and material factors that most influence the occurrence of color defects, with RPN values of 210 and 120 respectively, the Six Sigma calculation results an increase in sigma value from initial conditions of 3.78 sigma to 4.93 sigma, or an increase in process capability of 1.15 sigma. Proposed improvements with DOE so that color defects do not appear are suggested by setting the thermosol engine temperature control device and mixing the optimized NaCl. Keyword : Six Sigma, FMEA, DOE

This study aims to determine the effect information technology capability and quality of management accounting informationwith technological uncertainty as moderating variable. The highest business competition requires companies to be able tooptimize their resources. Company with information technology capability will able to produce good quality of information.The existence of changes in the external environment related to the rapid development of technology and uncertain technologyrequire companies to be able to respond precisely. Thus, the existence of technological uncertainty will stronger therelationship between information technology capability and quality of management accounting information. Data werecollected from companies that listed in Indonesia Stock Exchange. Respondent represented by accounting manager as of 95people were participated in filling out the questionnaire. Then, the data processed using SEM analysis technique. Thescreening stage of the data generated 94 responses that were used for decision making of the results study. Data processing hasbeen done using the software SPSS 16.0 and WarpPLS 4.0. The result of this study supports the hypothesis that states there arepositive effect of information technology capability toward quality of management accounting information. Whereas, thehypothesis that states technological uncertainty moderates the relationship between information technology capability andquality of management accounting information is not supported. This study is limited to the lack of connection between thevariables in the study due to the lack of the data and heterogeneous of the sample type selection.Keywords: information technology capability, technological uncertainty, quality of management accounting information