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dc.contributor.advisorGultom, Parapat
dc.contributor.authorMunthe, Kristian Alexsander
dc.date.accessioned2025-07-24T02:46:17Z
dc.date.available2025-07-24T02:46:17Z
dc.date.issued2025
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/106661
dc.description.abstractBackground: Dropping out of school is a recurring problem in education and is important to prevent as it has a direct impact on the progress of a country. Objectives: This study aims to analyze and monitor data on school dropout rates in Indonesia for the 2021-2024 period in a systematic and statistically-based manner. Methods: The study was conducted by taking data on school dropout rates from 2021 to 2024 for 38 provinces in Indonesia as a sample.is a problem-solving technique used to monitor, control, analyze, manage, and improve products and processes using statistical methods. Results: After processing the data using the average and range control maps, the results of the X ̅ control map are 2006,7 (BKA = 2693,53; BKB = 1373,86), the R (Range) control map obtained 868,08 (BKA = 1980,95; BKB = 0) there are still areas that are outside the control limits, which means that the dropout rate in Indonesia is not yet within the control limits. Conclusion: Data that are outside the control limits are in the provinces of West Java, Central Java, East Java, North Sumatra, South Sumatra, South Sulawesi.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectstatistical quality controlen_US
dc.subjectschool dropouten_US
dc.subjectcontrol carden_US
dc.titlePenerapan Statistical Quality Control Terhadap Angka Putus Sekolah Di Indonesia Pada Tahun 2021-2024en_US
dc.title.alternativeApplication Of Statistical Quality Control To School Dropout Rates In Indonesian In 2021-2024en_US
dc.typeThesisen_US
dc.identifier.nimNIM 222407044
dc.identifier.nidnNIDN 0030016102
dc.identifier.kodeprodiKODEPRODI49401#Statistika
dc.description.pages58 pagesen_US
dc.description.typeKertas Karya Diplomaen_US
dc.subject.sdgsSDGs 4. Quality Educationen_US


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