Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Indonesian Journal of Artificial Intelligence and Data Mining Prosiding Seminar Nasional Official Statistics
Fath Esa Prasanti Kusuma
Unknown Affiliation
Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Clustering Analysis of Financial Distress on Tourism Sector Companies Go-Public Due to LSSR Ahmad Firman Maulana; Camelia Iltazami Ulva; Fath Esa Prasanti Kusuma; Faza Budiarti; Moh. Fadli Hidayat DJ Makaraseng; Nyoman Putri Pradievy Syanthi; Rani Nooraeni
Indonesian Journal of Artificial Intelligence and Data Mining Vol 4, No 1 (2021): March 2021
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v4i1.11303

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.
Analisis Daya Saing Ekspor Udang Indonesia ke Delapan Negara Tujuan Terbesar Tahun 2000–2019 Fath Esa Prasanti Kusuma; Liza Kurnia Sari
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (491.385 KB) | DOI: 10.34123/semnasoffstat.v2021i1.1005

Abstract

According to Un Comtrade data in 2019, the eight largest shrimp export destinations absorbed more than 90 percent of Indonesia's shrimp. However, the contribution of Indonesian shrimp to these eight countries is very low. Therefore, this research was conducted to determine the competitiveness and the factors that influence Indonesian shrimp exports. This research used panel data of 8 largest destination countries during 2000–2019. Analysis method that used is RCA analysis and panel data regression with a gravity model approach. The variable in this research is volume of shrimp exports, real export prices, REER, population of destination countries, GDP constant of destination countries, and economic distance. The results show that the competitiveness of Indonesian shrimp is above the world average except in Thailand. In addition, it was found that economic distance, REER, and price had a significant effect on Indonesia's shrimp exports to the eight biggest destinations
Co-Authors Ahmad Firman Maulana Camelia Iltazami Ulva Faza Budiarti Liza Kurnia Sari Moh. Fadli Hidayat DJ Makaraseng Nyoman Putri Pradievy Syanthi Rani Nooraeni