| dc.description.abstract | Statistical Quality Control is a problem solving technique used to monitor, control, analyze, manage, and improve products and processes using statistical methods. In Statistical Quality Control there are two types of data, namely, variable data and attribute data. The statistical tool used is a variable control chart, namely the average control chart, the range control chart and the standard deviation control chart. The study was conducted by taking data on the unemployment rate from 2015 to 2020 for 33 regencies/cities in North Sumatra as a sample. . After processing the data using the average, range and standard deviation control chart, the results from the X-Bar control chart are 4.783 (BKA = 5,854; BKB = 3.713), the R (Range) control chart is 2,2169(BKA = 4,442; BKB = 0) and the control chart standard deviation is 0,858 (BKA = 1,691; BKB = 0.0257) there are still areas that are out of control, which means the unemployment rate in North Sumatra not yet within the limits that are out of control in the district area Nias, Tapanuli Tengah, Tapanuli Utara, Toba Samosir, Labuhan Batu, Asahan, Dairi, Karo, Deli Serdang, Batubara, Nias Selatan, Humbang Hasundutan, Pakpak Bharat, Samosir, Batubara, Padang Lawas Utara, Nias Utara, Nias Barat, Sibolga, Tanjung Balai, Pematang Siantar, Tebing Tinggi, Medan, Binjai, dan Padangsidempuan. | en_US |
