Penerapan Statistical Quality Control untuk Mengendalikan Jumlah Pengangguran di Sumatera Utara

Abstract

Unemployment is one of the complex and persistent social and economic issues faced by both developing and developed countries. This research aims to apply the Statistical Quality Control (SQC) method to control the number of unemployed individuals in Sumatera Utara. SQC is a method that uses statistical techniques to monitor and control processes to ensure that the quality of products or outcomes remains within specified limits. The study utilizes secondary data obtained from the Badan Pusat Statistika (BPS), which includes data on the number of unemployed individuals in Sumatera Utara from 2017-2021. This data is categorized based on the highest level of education completed. Using variable control charts (X̅ -chart and R-chart), the central line value for the X̅ chart was found to be 12961,9030 with an Upper Control Limit (UCL) of 16046,5770 and a Lower Control Limit (LCL) of 9887,2290. For the R chart, the central line value was 5347,9091 with a UCL of 11308,1537 and an LCL of 0. The results from the study indicate that the final outcomes for both the X̅ and R control charts are still in an uncontrolled condition, as evidenced by several points that lie outside the control limits (out of control). Meanwhile, for the attribute control chart (PChart), the central line value was found to be 0.0597 with a UCL of 0.0609 and an LCL of 0.0585. The results from this research show that the final outcome for the P control chart is also in an uncontrolled condition because all points lie outside the control limits (out of control). Therefore, continuous improvements are necessary to reduce the defect rate in the number of unemployed individuals.