Emerging Markets : Business and Management Studies Journal
Vol. 10 No. 1 (2022)

Industry Clustering Model on the Indonesia Stock Exchange in the COVID-19 Pandemic Era Using K-Means

Saumananda Suroso, Nurinda (Unknown)
Heikal, Jerry (Unknown)



Article Info

Publish Date
15 Dec 2023

Abstract

The COVID-19 pandemic has greatly affected the sustainability of large and small businesses around the world. The government of the capital city of DKI Jakarta implemented a special policy by announcing the implementation of Large-Scale Social Restrictions or PSBB starting April 2020 to tackle the spread of COVID-19. Given the situation in the year 2020, this study was conducted to determine whether Covid-19 has an impact on industries listed in Indonesia Stock Exchange (IDX) based on the 2020 financial report. This quantitative study uses the K-Means Clustering algorithm to group similar industries based on its Debt to Equity Ratio, Operating Profit Margin, and Sales Growth. Data is processed using Python with Anaconda and Jupyter Notebook as the IDE platform. From 50 industries that were sampled, 8 industries were very negatively affected, 3 industries were negatively affected, 28 industries were neutrally affected, 10 industries were positively affected, and 1 industry was very positively affected.

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Journal Info

Abbrev

ijembm

Publisher

Subject

Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences

Description

This journal is particularly interested in publishing scholarly empirical and theoretical research in various topics in the fields management, accounting, finance, and service industry, such as; Entrepreneurship, marketing, consumer behaviour, organizational behaviour, strategic management, ...