DASHBOARD REPORTING LOKASI PENGINAPAN SE INDONESIA BERDASARKAN KABUPATEN/KOTA DENGAN METODE SNOWFLAKE SCHEMA

YUSELLA, DANDICKA ASHAKHI GIFARI (2023) DASHBOARD REPORTING LOKASI PENGINAPAN SE INDONESIA BERDASARKAN KABUPATEN/KOTA DENGAN METODE SNOWFLAKE SCHEMA. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

Appropriate technology can help in providing information easier and more interesting. The author created this Dashboard Reporting as a study that aims to find out the location of lodging in Indonesia by Regency/City using the Snowflake Schema method. Research data regarding lodging locations throughout Indonesia based on districts/cities were obtained by using the Instant Data Scrapper. This data collection aims to collect data on lodging locations in Indonesia. In this study the authors also perform data cleaning which functions to separate unused attributes. At the end of the research the author will use Power BI to display the data that has been collected and then the data will be processed in the form of a Dashboard Reporting, so that the data becomes neat and structured and data on lodging locations throughout Indonesia based on districts/cities can be displayed in the form of reports and dashboards that will make it easier do the information you want to reach. The author uses the Snowflake Schema method because it can model tables into integrated dimensions. Keyword: Dashboard Reporting, Snowflake Schema, Power BI Teknologi yang tepat guna dapat membantu dalam memberikan informasi menjadi lebih mudah dan menarik. Penulis membuat Dashboard Reporting ini sebagai penelitian yang bertujuan untuk mengetahui lokasi penginapan yang ada di Indonesia berdasarkan Kabupaten/Kota dengan menggunakan metode Snowflake Schema. Data penelitian mengenai lokasi penginapan se Indonesia berdasarkan Kabupaten/Kota diperoleh dengan cara menggunakan Instant Data Scrapper, pengambilan data ini bertujuan untuk mengumpulkan data lokasi penginapan yang ada di indonesia. Dalam penelitian ini penulis juga melakukan Cleansing data yang berfungsi untuk memisahkan atribut yang tidak terpakai. Untuk diakhir penelitian penulis akan menggunakan Power BI untuk menampilkan data yang sudah terkumpul dan selanjutnya data akan diproses dalam bentuk Dashboard Reporting, Sehingga data menjadi terstruktur rapih dan terpusat serta data lokasi penginapan se Indonesia berdasarkan Kabupaten/Kota dapat ditampilkan dalam bentuk report dan Dashboard akan mempermudah melakukan informasi yang ingin dituju. Penulis menggunakan metode Snowflake Schema karena dapat memodelkan tabel menjadi dimensi yang terintegrasi. Kata Kunci: Dashboard Reporting, Snowflake Schema, Power BI.

Item Type: Thesis (S1)
Call Number CD: FIK/SI. 23 037
NIM/NIDN Creators: 41819010052
Uncontrolled Keywords: Dashboard Reporting, Snowflake Schema, Power BI.
Subjects: 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 003 Systems/Sistem-sistem
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 003 Systems/Sistem-sistem > 003.5 Computer Modeling and Simulation/Model dan Simulasi Komputer
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika > 004.1 General Works on Specific Types of Computers/Karya Umum tentang Tipe-tipe Khusus Komputer
Divisions: Fakultas Ilmu Komputer > Sistem Informasi
Depositing User: CALVIN PRASETYO
Date Deposited: 29 Sep 2023 01:56
Last Modified: 29 Sep 2023 01:56
URI: http://repository.mercubuana.ac.id/id/eprint/81582

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