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All Journal Sosio e-kons IKRA-ITH EKONOMIKA Jurnal Keuangan dan Perbankan
Roosdiana Roosdiana
Universitas Persada Indonesia YAI
Economics, Econometrics & Finance Education Social Sciences

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Journal : Sosio e-kons

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Kesehatan Perusahaan Tourism di Masa Pandemi Covid19 dengan Metode K Means Clustering Roosdiana Roosdiana; Maya Syafriana Effendi
Sosio e-Kons Vol 13, No 2 (2021): Sosio e-Kons
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/sosioekons.v13i2.10089

Abstract

This research is aimed at seeing whether tourism companies listed on the Indonesia Stock Exchange during the Covid-19 pandemic are still classified as healthy or not. Measurement of the company's health level is carried out using the K-Means Algorithm. The results of the financial performance evaluation are grouped using the K-Means Algorithm. This algorithm will determine groups of tourism companies that are performing well (healthy) and companies that are not performing well (unhealthy) by determining groups based on the closest data distance to the centroid. From the results of the analysis of 32 tourism companies on the Indonesia Stock Exchange, data shows that there are 2 unhealthy tourism companies, namely Indonesia Pure Mas Company (MAMI) and PT. Sarimelati Kencar (PZZA) and 30 other tourism companies are in good health. Thus improvement and development steps are required for these 2 tourism companies.
Co-Authors Effendi, Maya Syafriana Hernita Adeliani Nafisah Yuliani Siti Aisyah