Indonesian Journal of Artificial Intelligence and Data Mining
Vol 4, No 1 (2021): March 2021

Clustering Analysis of Financial Distress on Tourism Sector Companies Go-Public Due to LSSR

Ahmad Firman Maulana (Unknown)
Camelia Iltazami Ulva (Unknown)
Fath Esa Prasanti Kusuma (Unknown)
Faza Budiarti (Unknown)
Moh. Fadli Hidayat DJ Makaraseng (Politeknik Statistika STIS)
Nyoman Putri Pradievy Syanthi (Unknown)
Rani Nooraeni (Unknown)



Article Info

Publish Date
19 May 2021

Abstract

Large-Scale Social Restriction Policy (LSSR) to prevent the spread of COVID-19 has a big impact on economic activities, one of which is activities in the tourism sector. Restrictions on outdoor activities reduce the productivity of companies that can lead to bankruptcy. By knowing the financial condition of the company, we can predict whether the company will experience financial pressures or not. This paper tries to analyze the grouping of 100 companies in the tourism sector before (the first quarter of 2020) and after (the second quarter of 2020) the application of LSSR conditions. This paper uses the K-Means grouping method and the financial ratio of each company. Then, the variables in the analysis are Return on Asset (ROA), Total Asset Turn Over Ratio (TATO), Debt to Equity Ratio (DER), and Price to Earning Ratio (PER). The results showed that in the second quarter of 2020 or after the implementation of LSSR, almost all companies tend to be in a financially depressed condition. The number of companies that are under financial pressure after the implementation of this policy is 98 companies.

Copyrights © 2021






Journal Info

Abbrev

IJAIDM

Publisher

Subject

Computer Science & IT

Description

Indonesian Journal of Artificial Intelligence and Data Mining (IJAIDM) is an electronic periodical publication published by Puzzle Research Data Technology (Predatech) Faculty of Science and Technology UIN Sultan Syarif Kasim Riau, Indonesia. IJAIDM provides online media to publish scientific ...