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All Journal JURSIMA (Jurnal Sistem Informasi dan Manajemen) JURSIMA
Mochammad Bagus Insan
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Library & Information Science Social Sciences

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PERANCANGAN APLIKASI PREDIKSI HARGA EMAS, PERAK, DOLAR, MENGGUNAKAN ALGORITMA REGRESSION BERBASIS WEB Regi Apriandi; Mochammad Bagus Insan; Fahri Rizmawan; Havizh As Haq; Kholison Ansharulloh Azizi; Dimas Dwi Priyono
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 3 (2022): Jursima Vol.10 No.3 Desember 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i3.489

Abstract

To provide services and help people who want to invest in gold, silver, and dollars, this paper discusses the creation of applications which can be use by public in accessing information about the price movements of gold, silver, and dollars against rupiah. Based on the knowledge of algorithms, linear regression, ridge regression and lasso algorithms, application for predicting the price of gold, silver, dollars for tomorrow were created, using the flask web application. In making this application, it utilizes a database management system PostgreSQL, as gold, silver, and dollar dataset storage. The dataset is obtained from sources that provide daily price movements of gold, silver, and dollar. The testing process starts with the user opening linked share. After entering the application page, user selects type to be predicted, after that chooses algorithm method to be used. Then application will display prediction results for next day.
PERANCANGAN APLIKASI PREDIKSI HARGA EMAS, PERAK, DOLAR, MENGGUNAKAN ALGORITMA REGRESSION BERBASIS WEB Regi Apriandi; Mochammad Bagus Insan; Fahri Rizmawan; Havizh As Haq; Kholison Ansharulloh Azizi; Dimas Dwi Priyono
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 3: Jursima Vol.10 No.3
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i3.489

Abstract

To provide services and help people who want to invest in gold, silver, and dollars, this paper discusses the creation of applications which can be use by public in accessing information about the price movements of gold, silver, and dollars against rupiah. Based on the knowledge of algorithms, linear regression, ridge regression and lasso algorithms, application for predicting the price of gold, silver, dollars for tomorrow were created, using the flask web application. In making this application, it utilizes a database management system PostgreSQL, as gold, silver, and dollar dataset storage. The dataset is obtained from sources that provide daily price movements of gold, silver, and dollar. The testing process starts with the user opening linked share. After entering the application page, user selects type to be predicted, after that chooses algorithm method to be used. Then application will display prediction results for next day.
Co-Authors Dimas Dwi Priyono Fahri Rizmawan Havizh As Haq Kholison Ansharulloh Azizi Regi Apriandi