ANALISIS MACHINE LEARNING ALGORITMA REGRESI LINEAR UNTUK MEMPREDIKSI SAHAM DI BANK BRI DI BURSA SAHAM INDONESIA

Yenni Syahfutri.S, NPM 1909100013 (2023) ANALISIS MACHINE LEARNING ALGORITMA REGRESI LINEAR UNTUK MEMPREDIKSI SAHAM DI BANK BRI DI BURSA SAHAM INDONESIA. Tugas_ Akhir (Artikel) : Jurnal Tekinkom, 6 (1). pp. 81-87. ISSN 2621-3079 (e-ISSN) / 2621-1556 (p-ISSN)

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Abstract

Stocks are securities that have fluctuating characteristics. Therefore stock predictions are needed to determine stock prices in the future. The data used is actual data obtained from the Indonesian Stock Exchange. This study uses the CRISPDM model and uses the Linear Regression method in processing the data. Data processing is carried out using several techniques, namely manually (exel) and by application testing. The application used is Rapid Miner. And after testing, get the test results of a difference of 0 to 3%. And get a root mean square error (RMSE) value of 62.592. and based on the research, it was decided that the share price on January 4 2021 - December 9 2022 will experience stock price fluctuations in the future with a difference of 0 to 3% from the previous share price. Keywords: Stocks, Linear Regression, Predictions, Machine Learning.

Item Type:	Article
Uncontrolled Keywords:	Stocks, Linear Regression, Predictions, Machine Learning.
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General)
Divisions:	Fakultas Sains Dan Teknologi > Sistem Informasi
Depositing User:	Unnamed user with email repository@ulb.ac.id
Date Deposited:	05 Dec 2023 07:21
Last Modified:	05 Dec 2023 07:21
URI:	http://repository.ulb.ac.id/id/eprint/535

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