Citation:

Ni Putu Windayanti, Ni Ketut Purnawati. "Quality Control of The Pia Production Process Using Statistical Quality Control (SQC) at UD. Candika Purnama Company" International Research Journal of Economics and Management Studies, Vol. 3, No. 6, pp. 1-11, 2024.

Abstract:

Product quality is a key factor that can provide satisfaction to consumers. In producing high-quality products, companies need to pay attention to production activities, from raw material supervision and the production process to the finished product. By implementing quality control, it is expected to minimize defective products produced during the production process. This research was conducted at UD. Candika Purnama, Dalung, Kuta Utara District. Finding out whether UD. Candika Purnama's quality control measures for the pia manufacturing process were adequate and were the driving force for this research. This study used a quantitative approach to descriptive research. Saturation sampling was the chosen method of sampling. Information on product damage from 2024's first two months was the focus of this research. Check sheets, p-charts, cause and effect diagrams, and quality cost analyses were all part of the statistical quality control tools used for data analysis. Some data points exceeded the Upper Control Limit (UCL), indicating that the quality control was not optimum. The quality cost with an actual defect rate of 28.500 pia units, resulting in a Total Quality Cost (TQC) of IDR 74,736,315.789, was higher than the optimum defect rate of 6.304 pia units, with an optimal Total Quality Cost (TQC*) of IDR 31,521,421.287. This indicates that the quality control of the production process in the company had not yet reached the optimal level. Achieving optimal quality control can be accomplished by making improvements in several key aspects that influence the defect rate, namely man factors, material, machine, and method.

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Keywords:

Product Quality, Quality Control, Statistical Quality Control, Quality Costs.