Anlisis Performansi Forecasting Harga Saham Amazon dengan Menggunakan Metode ARIMA, ANN, dan LSTM

Syahputra, Chandra Wibawa (2025) Anlisis Performansi Forecasting Harga Saham Amazon dengan Menggunakan Metode ARIMA, ANN, dan LSTM. Undergraduate thesis, Universitas Pembangunan Nasional Veteran Jawa Timur.

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Abstract

Stocks are financial instruments issued by a Limited Liability Company (PT). Ownership of shares gives the buyer the right to the company as well. Many people try to buy and sell shares and make it a source of income. However, this also has risks such as requiring capital and can experience losses. Many people cannot understand the concept of shares, seek profit, read price movements, and predict future stock price movements. There are several techniques for predicting future stock price movements that have been developed for data movement prediction. ARIMA, ANN, and LSTM are methods used to analyze time series data and can be used to predict future values based on historical data. The purpose of this study is to compare the best methods that can be used to predict Amazon stock price movements. The results showed that the ARIMA Model had the best performance after comparing with ANN and LSTM with a division of 70% training data and 30% test data resulting in a MAPE value of 1.33% and RMSE 3.0895

Item Type:

Thesis (Undergraduate)

Contributors:

Contribution	Contributors	NIDN/NIDK	Email
Thesis advisor	Rahmat, Basuki	NIDN5972549	basukirahmat.if@upnjatim.ac.id
Thesis advisor	Haromainy, Muhammad Muharrom Al	NIDN0701069503	muhammad.muharrom.if@upnjatim.ac.id

Subjects:

T Technology > T Technology (General)

Divisions:

Faculty of Computer Science > Departemen of Informatics

Depositing User:

Chandra Wibawa Syahputra

Date Deposited:

12 Jun 2025 09:15

Last Modified:

12 Jun 2025 09:15

URI:

https://repository.upnjatim.ac.id/id/eprint/37434