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All Journal JSI: Jurnal Sistem Informasi (E-Journal) Sistemasi: Jurnal Sistem Informasi IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Nasional Komputasi dan Teknologi Informasi G-Tech : Jurnal Teknologi Terapan Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Impresi Indonesia International Journal Engineering and Applied Technology (IJEAT) STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer IJOEM: Indonesian Journal of Elearning and Multimedia Journal of Innovative and Creativity Jurnal Ilmu Pengetahuan dan Teknologi Bagi Masyarakat Jipmas : Journal Inovasi Pengabdian Masyarakat Smatika Jurnal : STIKI Informatika Jurnal
Dwi Sartika Simatupang
Universitas Esa Unggul
Religion Aerospace Engineering Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Neuroscience Social Sciences Transportation Other

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Journal : international journal engineering and applied technology ijeat

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MODELLING OF DATA WAREHOUSE WITH MAKING THE TREND TO MAKE DECISION IN COMPANY XYZ Dwi Sartika simatupang; Anggun Fergina; Bahadir Ozsut
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 5 No. 2 (2022): November 2022
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v5i2.72

Abstract

The goals of the thesis were to modellig a data warehouse which was loaded from the operational database PT. XYZ, to analyze data warehouse with Tableau Software to know the trends of activity Trouble ticket, and to create reports and dashboards to facilitate PT. XYZ in viewing the trends. Data were compiled by observation to PT. XYZ from reporting team. Data were analyzed using software tableau. The results obtained were the trend of activity trouble ticket more than two hundred thousand data in sixteen weeks or four month in 2017. It can be concluded that developed data warehouse can be used to analyze in gaining information about the trends of activity trouble ticket and help to make a decision.
Co-Authors adang badru jaman,anggun fergina, adang badru jaman,anggun fergina Alun Sujjada Alun Sujjada Alun Sujjada Alun Sujjada Alvira Fauziah Rahmah Aprilliansyah, Lamda Pratama Azia Nurfikri Bahadir Ozsut Eggi Faldy Fakhriyatin, Iklil Fauziah Zen, Maghfirah Fufi Febriansyah Fitri Nurhalimah Gina Purnama Insany Habbyan Lazuard Haryadi Haryadi, Habbyan Lazuard Hermanto Ibnu, Syaikul IVANA LUCIA KHARISMA Kamdan Kharisma, Ivana Lucia Michael Julius Hutabarat Muh Reza Multiaha Muhamad Herman Gozali Dede Herman Muhammad Aldi Novriansyah Nurul Aini Hasibuan Pamungkas, Dimas Arya Praditiya, Randi Rismi Nurlaely Sani Muhammad Isa Siti Nursinta Somantri Somantri Sudirman, Yamka Tarigan, Masmur Usnul Latipah Y Yulhendri Yuni Yulistianti Zulia Nur Permatasari zulianp