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All Journal Medula JUPE Jurnal Ekonomi & Kebijakan Publik ITEj (Information Technology Engineering Journals) JOIN (Jurnal Online Informatika) Halaman Olahraga Nusantara : Jurnal Ilmu Keolahragaan Jurnal SPORTIF : Jurnal Penelitian Pembelajaran Teknologi Indonesia E-Link: Jurnal Teknik Elektro dan Informatika Jurnal Pendidikan Jasmani (JPJ) Jurnal Teknologi Pendidikan : Jurnal Penelitian dan Pengembangan Pembelajaran Journal of Physical Activity and Sports (JPAS) Makara Journal of Science Molekul: Jurnal Ilmiah Kimia Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi The Journal of Business and Management Research Aisyah Journal Of Physical Education Jurnal Pendidikan Jasmani, Olahraga dan Kesehatan (Jp.jok)
Candra Kurniawan
FBS UNP
Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Public Health Social Sciences Other

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Journal : ITEj (Information Technology Engineering Journals)

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A Survey on Big Data Analytics Model Kurniawan, Candra
ITEJ (Information Technology Engineering Journals) Vol 4 No 1 (2019): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v4i1.46

Abstract

Topic about big data analytics have received a lot of attention and interest at this time. There are many topics can be discussed related to the analytical model, tools, and technology used. Big data analytics model involves many processes with various technologies used. Skills in handling big data, extracting mining, and developing insight are needed in applying big data analytics. Suitable analytical hardware and software also needed in decision making. Big data analytics is a key to a business strategy, but only a small portion of big data is currently used to support their business strategy. Big data analitycs can answer many questions about how to manage costs, time, and development or optimization strategies, and other decision making choices. However, there are many challenges in big data analytics technology. This survey paper addresses topics related to the analytical model, tools, and technology used. This paper also discusses the application of big data analytics in various fields.
Co-Authors Agung Triayudi Andrameda, Yurian A Anggito Pringgo Tetuko Ardi Adji, Ardi Ayunita, Devi Badar, Muh Bagaskoro, Ki Priyo Daulay, Suryani Agustina Dede Djuhana Dewanti, Aqila Didik Aryanto Dina Rahmawati Erfan Handoko Farhati, Soraya Faturrahman, Syahid Fauziah Fauziah Finaldi, Rizky Akbar Firmansyah, Guntur Ghoshal, Sib Krishna Hadi Hadi Haniifah, Yumnaa Herman Tarigan Herpratiwi Herpratiw Husen, Sjamsiar Isnaini, Nurul Hidayatul Iswarini, Septi Jatmika, Jumaeda Juliyana, Ujang T Khairun Nisa Lazuardi Umar Lestari, Dinda Lubis, Ridwan Y Magfur, Mochammad Fadhli Marta Dinata Masno Ginting Mudrik Alaydrus Muhajirin , Muhajirin Mukhtar Effendi N, Nasruddin M Novriansyah Novriansyah, Novriansyah Nugraha, Pratama Dharmika Nurseto, Fransiskus Oktri, Dita Perdamean Sebayang Priyadi, Ignu Priyono, Dwi Purwanto, Budi A Putri, Chikal Nikmah Retno Supriyanti Riswandi Riswandi Rohmah, Mutia Nur Rohmah S, Fransiskus Nurseto S, Lungit Wicaksono Saniar, Elza Setiadi, Eko A Shinta, Tasya Dwi Siadari, Hecekiel Mangoloi Siswoyo, Joan Suwarli Tamtowi, Tomy Usman Pakasi Wahyu Tri Cahyanto Wahyu Widanarto, Wahyu Wicaksono , Lungit Wicaksono, Lungit Yaya Sonjaya