Murtadho, Faza (2022) Pembuatan Dashboard Peramalan Menggunakan Business Intelligence Guna Pengambilan Keputusan. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Penggunaan mata uang kripto untuk transaksi internet yang semakin populer beberapa tahun terakhir menyebabkan banyaknya orang tertarik untuk menjadi trader atau sekedar berinvestasi. Ketiadaan lembaga seperti bank sentral untuk mengatur nilai menyebabkan mata uang kripto fluktuatif. Dikarenakan nilai mata uang kripto yang fluktuatif, maka diperlukan sebuah metode peramalan untuk memprediksi tren harga dari mata uang kripto. Pada buku ini penulis menggunakan metode peramalan Auto Regressive Integrated Moving Average (ARIMA) untuk memprediksi tren harga tersebut. Dashboard peramalan dengan bantuan Business Intelligence akan memvisualisasikan data yang yang telah diolah menggunakan metode Auto Regressive Integrated Moving Average (ARIMA) yang dimasukkan pengguna menjadi data berbentuk diagram sehingga dapat mempermudah pengguna untuk mengambil suatu keputusan dalam melakukan trading ataupun investasi mata uang kripto.
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In the past few years, cryptocurrencies have been more popular and more widely use in internet transactions causing people to become interested in becoming trader or just investing. The absence of institutions such as central bank to regulate values causes cryptocurrencies to fluctuate. Because the values from cryptocurrencies are so fluctuative, it needs to be forecasted with a method to predict the price trend. In this book, the writer uses forecasting method called Autoregressive Integrated Moving Average (ARIMA) to predict those price trend. Forecasting dashboard with the help from Business Intelligence will visualized data that has been processed and entered by the user with Autoregressive Integrated Moving Average (ARIMA) forecasting method into a diagram to help making a decision when doing cryptocurrencies trading or investing.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSTI 658.403 801 1 Mur p-1 2022 |
| Uncontrolled Keywords: | Mata Uang Kripto, Dashboard, Business Intelligence, Cryptocurrencies, Dashboard, Business Intelligence |
| Subjects: | T Technology > T Technology (General) > T58.6 Management information systems |
| Divisions: | Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Information Technology > 59201-(S1) Undergraduate Thesis |
| Depositing User: | Mr. Marsudiyana - |
| Date Deposited: | 23 Apr 2026 06:14 |
| Last Modified: | 23 Apr 2026 06:14 |
| URI: | http://repository.its.ac.id/id/eprint/132888 |
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