PREDIKSI HARGA SAHAM BRNA MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING

Khalid Rinaldy, . (2024) PREDIKSI HARGA SAHAM BRNA MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

The stock prices fluctuate daily, making it essential to provide guidance or tools to assist novice investors in predicting stock price movements. However, knowledge about stock price prediction is still scarce in the form of books, and many novice investors incur losses while attempting to invest in the stock market. This research aims to aid novice investors in predicting stock prices, with a focus on PT Berlina Tbk. The method used in this research for stock prediction is Double Exponential Smoothing. Through testing with 81 combinations of alpha and beta parameters, a combination of alpha at 0.9 and beta at 0.1 was found to be the optimal parameter for testing stock prices of BRNA from June 2, 2021, to June 5, 2023. The final outcome of this research is a mobile application that can run on both Android and iOS platforms, developed using the Flutter Framework. The conclusion drawn from this research is that the optimal parameter combination for BRNA stock price data is alpha 0.9 and beta 0.1, and it can be used in a simple stock prediction application.

Item Type: Thesis (Skripsi)
Additional Information: [No.Panggil: 1910511041] [Pembimbing: Yuni Widiastiwi] [Penguji 1: Ermatita] [Penguji 2: Catur Nugrahaeni Puspita Dewi]
Uncontrolled Keywords: Stock prices BRNA, Double Exponential Smoothing, Prediction
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Fakultas Ilmu Komputer > Program Studi Informatika (S1)
Depositing User: Khalid Rinaldy
Date Deposited: 16 Feb 2024 08:07
Last Modified: 16 Feb 2024 08:07
URI: http://repository.upnvj.ac.id/id/eprint/27541

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