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dc.contributor.advisorWibowo, Rulianda Purnomo
dc.contributor.advisorSembiring, Meilita Tryana
dc.contributor.authorRosadi, Arief Fareza
dc.date.accessioned2024-05-14T07:58:40Z
dc.date.available2024-05-14T07:58:40Z
dc.date.issued2023
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/93196
dc.description.abstractThis study is to determine the internal and external factors in the data center of PT XYZ Medan so as to obtain the right business strategy alternatives by knowing the current position of PT XYZ Medan data center and determining the right business strategy for PT XYZ Medan data center to remain the best data center in Indonesia. Data was collected through interviews with Lop management of PT XYZ Medan. The method used is the IFE matrix, EFE matrix, IE matrix, SWOT and QSPM matrix to determine the right data center business strategy alternatives. The results showed that the company's main strength factor was the data center which already had the best level of security and had ISO 27001: 2013 ISMS (Information Security Management System) certification, then the results of the IE matrix showed that the position of the PT XYZ Medan Data Center was in quadrant I, namely Growth (concentration through vertical integration) and the best strategy obtained was to optimize service, quality and affordable prices in order to maintain customers.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectData Centeren_US
dc.subjectJFEen_US
dc.subjectIEen_US
dc.subjectEFEen_US
dc.subjectSWOTen_US
dc.subjectQSPMen_US
dc.subjectSDGsen_US
dc.titleStrategi Bisnis dalam Menghadapi Persaingan Data Center Pasca Pandemi di Indonesia (Studi Kasus: PT. XYZ Medan)en_US
dc.title.alternativeBusiness Strategy in Dealing with Post-Privatization Data Persistence in Indonesia (Case Study: PT. XYZ Medan)en_US
dc.typeThesisen_US
dc.identifier.nimNIM217007003
dc.identifier.nidnNIDN0021108001
dc.identifier.nidnNIDN0003057003
dc.identifier.kodeprodiKODEPRODI61102#Magister Manajemen
dc.description.pages126 Pagesen_US
dc.description.typeTesis Magisteren_US


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