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dc.contributor.advisorTarigan, Enita Dewi Br
dc.contributor.authorSirait, Nova
dc.date.accessioned2024-06-11T06:49:49Z
dc.date.available2024-06-11T06:49:49Z
dc.date.issued2022
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/93772
dc.description.abstractNorth 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.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectUpper Control Limiten_US
dc.subjectLower Control Limiten_US
dc.subjectUnemploymenten_US
dc.subjectStatistical Quality Controlen_US
dc.subjectSDGsen_US
dc.titlePenerapan Statistical Quality Control untuk Mengidentifikasi Tingkat Pengangguran Terbuka di Sumatera Utaraen_US
dc.title.alternativeApplication of Statistical Quality Control to Identifying the Unemployment Rate Open in North Sumatraen_US
dc.typeThesisen_US
dc.identifier.nimNIM192407090
dc.identifier.nidnNIDN0105028503
dc.identifier.kodeprodiKODEPRODI49401#Statistika
dc.description.pages60 Pagesen_US
dc.description.typeKertas Karya Diplomaen_US


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