[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-119667-en":3,"doc-seo-119667-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},119667,7971461741311,"Ophelia","https://ap-avatar.wpscdn.com/avatar/74000253aff267980c6?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779345379180704826",8,"Research & Report","Exploring the Role of Machine Learning and Big Data Analytics in Enhancing Decision-Making Processes - A Systematic Literature Review","A Systematic Literature Review analyzes how Machine Learning and Big Data Analytics influence decision-making processes across multiple industries. The study examines tools and platforms, deployment challenges, and benefits observed in prior work. Using the PRISMA technique and Scopus as the primary database, 31 publications from 2019–2024 are screened through rigorous selection. Findings show improved predictive accuracy, operational efficiency, stronger data privacy measures, smoother integration with existing systems, and increasing adoption by SMEs, including in healthcare.","Page 1  \nof 13-Cover Page  \nSubmission ID  \ntrn:oid:::1:3429226204  \nWella Wella  \nExploring the Role of Machine Learning and Big Data Analyticsin Enhancing Decision-Making Processes: A Systematic Literat…  \n Quick Submit  \n Quick Submit  \n Universitas Multimedia Nusantara  \nDocument Details  \nSubmission ID  \ntrn:oid:::1:3429226204  \nSubmission Date  \nDec 1, 2025, 3:19 PM GMT+7  \nDownload Date  \nDec 1, 2025, 3:22 PM GMT+7  \nFile Name  \ning_Decision-Making_Processes_A_Systematic_Literature_Review.pdf  \nFile Size  \n3.5 MB  \n9 Pages  \n7,818 Words  \n46,387 Characters  \nPage 1  \nof 13-Cover Page  \nSubmission ID  \ntrn:oid:::1:3429226204  \nPage 2 of 13-Integrity Overview  \nSubmission ID  \ntrn:oid:::1:3429226204  \n10% Overall Similarity  \nThe combined total of all matches, including overlapping sources, for each database.  \nFiltered from the Report  \n Bibliography  \n Quoted Text  \n Cited Text  \n Small Matches (less than 8 words)  \nExclusions  \n 1 Excluded Source  \nMatch Groups  \n 30 Not Cited or Quoted 10%  \nMatches with neither in-text citation nor quotation marks  \n 0 Missing Quotations 0%  \nMatches that are still very similar to source material  \n 0 Missing Citation 0%  \nMatches that have quotation marks, but no in-text citation  \n 0 Cited and Quoted 0%  \nMatches with in-text citation present, but no quotation marks  \nTop Sources  \n9%  Internet sources  \n4%  Publications  \n1%  Submitted works (Student Papers)  \nIntegrity Flags  \n0 Integrity Flags for Review No suspicious text manipulations found.  \nOur system's algorithms look deeply at a document for any inconsistencies that would set it apart from a normal submission. If we notice something strange, we flag it for you to review.  \nA Flag is not necessarily an indicator of a problem. However, we'd recommend you focus your attention there for further review.  \nPage 2 of 13-Integrity Overview  \nSubmission ID  \ntrn:oid:::1:3429226204  \nPage 3 of 13-Integrity Overview  \nSubmission ID  \ntrn:oid:::1:3429226204  \nMatch Groups  \n 30 Not Cited or Quoted 10%  \nMatches with neither in-text citation nor quotation marks  \n 0 Missing Quotations 0%  \nMatches that are still very similar to source material  \n 0 Missing Citation 0%  \nMatches that have quotation marks, but no in-text citation  \n 0 Cited and Quoted 0%  \nMatches with in-text citation present, but no quotation marks  \nTop Sources  \n9%  Internet sources  \n4%  Publications  \n1%  Submitted works (Student Papers)  \nTop Sources  \nThe sources with the highest number of matches within the submission. Overlapping sources will not be displayed.  \n1  \nInternet  \n[mail.joiv.org](mail.joiv.org) 7%  \n\n| \u003Cbr>2\u003Cbr>\u003Cbr>Student papers\u003Cbr>Telkom University | \u003C1% |\n| --- | --- |\n| \u003Cbr>3\u003Cbr>\u003Cbr>Internet\u003Cbr>[ih.advfn.com](ih.advfn.com) | \u003C1% |\n| \u003Cbr>4\u003Cbr>\u003Cbr>Internet\u003Cbr>[www.mdpi.com](www.mdpi.com) | \u003C1% |\n| \u003Cbr>5\u003Cbr>\u003Cbr>Internet\u003Cbr>[pmc.ncbi.nlm.nih.gov](pmc.ncbi.nlm.nih.gov) | \u003C1% |\n| \u003Cbr>6\u003Cbr>\u003Cbr>Internet\u003Cbr>[thesai.org](thesai.org) | \u003C1% |\n| \u003Cbr>7\u003Cbr>\u003Cbr>Publication\u003Cbr>Saravanan Krishnan, A. Jose Anand, S. Sendhilkumar. \"Handbook of Industrial an… | \u003C1% |\n| \u003Cbr>8\u003Cbr>\u003Cbr>Internet\u003Cbr>[link.springer.com](link.springer.com) | \u003C1% |\n| \u003Cbr>9\u003Cbr>\u003Cbr>Publication\u003Cbr>Abbas Sheykhfard, Farshidreza Haghighi, Sarah Bakhtiari, Sara Moridpour, Kun Xi… | \u003C1% |\n| \u003Cbr>10\u003Cbr>\u003Cbr>Publication\u003Cbr>Princi Gupta. \"chapter 5 Synergizing Success\", IGI Global, 2024 | \u003C1% |\n\nPage 3 of 13-Integrity Overview  \nSubmission ID  \ntrn:oid:::1:3429226204  \nPage 4 of 13-Integrity Overview  \nSubmission ID  \ntrn:oid:::1:3429226204  \n11  \nPublication  \nShrikaant Kulkarni, P. William, Vijaya Prakash, Jaiprakash Narain Dwivedi. \"Lever… \u003C1%  \n\n| \u003Cbr>12\u003Cbr>\u003Cbr>Internet\u003Cbr>[www.atlantis-press.com](www.atlantis-press.com) | \u003C1% |\n| --- | --- |\n| \u003Cbr>13\u003Cbr>\u003Cbr>Publication\u003Cbr>\"Universal Access in Human–Computer Interaction. 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