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All Journal Teika Jurnal Informasi dan Teknologi Jurnal Tekinkom (Teknik Informasi dan Komputer) The Eastasouth Management and Business Klabat Journal of Management
Cherry Lumingkewas
Faculty Of Economics And Business Universitas Klabat
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences

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Journal : Klabat Journal of Management

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ARIMA METHOD MODELING IN PREDICTING THE DAILY STOCK PRICE OF PT GARUDA INDONESIA DURING THE COVID-19 PANDEMIC Niel Ananto; Cherry Lumingkewas
Klabat Journal of Management Vol 3 No 1 (2022): Klabat Journal of Management
Publisher : Faculty of Economics and Business, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (483.281 KB) | DOI: 10.60090/kjm.v3i1.805.46-54

Abstract

The main purpose of this research is to create a predictive model of the ARIMA method on the daily stock price of PT. Garuda Indonesia, Tbk during the Covid-19 pandemic. This study uses daily secondary data from April 22, 2019, to April 20, 2020. The results of research using the ARIMA model shows that data from April 22, 2019, to April 20, 2020, can be used to predict stock closing prices from April 21, 2020, to July 13, 2020. The ARIMA model obtained the results of daily stock price predictions of PT. Garuda Indonesia, Tbk on the Indonesia Stock Exchange from 21 April 2020 to 13 July 2020 tend to experience a decline. This is presumably because investors tend to hold back their capital due to the government's prohibition on going home, which resulted in the cessation of operations in the aviation sector. Keywords: Covid-19, Garuda Indonesia, stock price, ARIMA method.
Co-Authors Andria Wahyudi Erienika Meiling Lompoliu Joe Yuan Mambu Maestro Phytagoras Maestro Pythagoras Michelle Walangitan Niel Ananto Nurnaningsih Utiarahman Sabil Sabil - Virjin Fanesa