PREDIKSI PERGERAKAN HARGA SAHAM PADA SEKTOR FARMASI MENGGUNAKAN ALGORITMA LONG SHORT-TERM MEMORY

Ardiyan Agusta, . (2021) PREDIKSI PERGERAKAN HARGA SAHAM PADA SEKTOR FARMASI MENGGUNAKAN ALGORITMA LONG SHORT-TERM MEMORY. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

Nowadays, there are many investment options available to the public, one of which is investing in stocks. Stocks investment can make an investor get big profits, but also a big risk of loss. Stocks are valuable documents to represents the ownership of a company. Stock prices are volatile due to various internal and external factors of the company. In the midst of the Covid-19 pandemic, it greatly affected the stock price of each company, one of which was a pharmaceutical company. Pharmaceutical companies are expected to experience a decrease in shares due to the pandemic, but can also get a share price increase due to the increasing number of drug sales and research for the public. With this erratic change in stock prices, a system is needed to predict stock price movements. This study uses the Long Short-Term Memory algorithm to predict stock prices, where Kalbe Farma is selected as a pharmaceutical company. Data is obtained from the site yahoo finance. The next process is to process the data by testing the model formed using the hidden layer, units and epoch and batch size variations which produce stock price predictions with an average value of RMSE 27.310.

Item Type:	Thesis (Skripsi)
Additional Information:	No.Panggil: 1710511050 Pembimbing 1: Iin Ernawati Pembimbing 2: Anita Muliawati Penguji 1: Yuni Widiastiwi Penguji 2: Nurul Chamidah
Uncontrolled Keywords:	Prediction, Stocks, Long Short-Term Memory
Subjects:	Q Science > Q Science (General) R Medicine > RS Pharmacy and materia medica Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions:	Fakultas Ilmu Komputer > Program Studi Informatika (S1)
Depositing User:	Ardiyan Agusta
Date Deposited:	21 Dec 2021 07:28
Last Modified:	21 Dec 2021 07:28
URI:	http://repository.upnvj.ac.id/id/eprint/11274

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