Penerapan Statistical Quality Control untuk Mengidentifikasi Tingkat Pengangguran Terbuka di Sumatera Utara
Application of Statistical Quality Control to Identifying the Unemployment Rate Open in North Sumatra
Abstract
North Sumatra is the fourth most populous population in Indonesia. The
larger the population, the higher the unemployment. Therefore, the authors need to
identify the unemployment rate that occurs in the Regency/City. The purpose of this
study is to determine the districts/cities in North Sumatra that are outside the control
limits seen from the average control chart ( ̅) and the range control map (R). Processing
data to solve problems that occur using ̅ and Range control charts with the
approach of the Statistical Quality Control method. The data used in this study is
open unemployment rate data from 2019 to 2021 for 33 districts/cities in North Sumatra
as a sample. The results of the Statistical Quality Control (SQC) analysis with
the control chart obtained an average value of ̅ or a central value of 4.95, the value
of the Upper Controlling Limit (BPA) of 6.18 and the value of the Lower Controlling
Limit (BPB) of 3.72. The results of the Statistical Quality Control (SQC) analysis
with the range control map obtained the value of ̅ which is the central line of 1.20,
the value of the Upper Controlling Limit (BPA) of 3.10 and the value of the Lower
Controlling Limit (BPB) of 0. Based on the results of this analysis, it can be seen that
that some areas are not yet within the control limits.
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