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PENGARUH GOOD CORPORATE GOVERNANCE DAN UKURAN PERUSAHAAN TERHADAP RETURN ON EQUITY PERUSAHAAN PERBANKAN YANG TERDAFTAR DI BURSA EFEK INDONESIA Zaidatun Ekastuti; Desti Lianasari
UG Journal Vol 12, No 12 (2018)
Publisher : Universitas Gunadarma

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Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh Good Corporate Governance dan ukuran perusahaan terhadap kinerja keuangan pada perusahaan perbankan yang terdaftar di Bursa Efek Indonesia. GCG diukur dengan menggunakan nilai komposit, ukuran perusahaan diukur dengan total asset, dan kinerja keuangan diukur dengan Return on Equity. Sampel penelitian terdiri dari 14 perusahaan perbankan yang terdaftar di Bursa Efek Indonesia selama periode tahun 2012-2016. Metode pengambilan data pada penelitian ini menggunakan metode purposive sampling dan pengujian hipotesis dilakukan menggunakan model regresi linier berganda. Hasil penelitian menunjukkan bahwa secara parsial GCG tidak berpengaruh terhadap ROE, sedangkan Ukuran Perusahaan berpengaruhterhadap ROE. Secara simultan menunjukan bahwa GCG dan Ukuran Perusahaan berpengaruh terhadap ROE pada perusahaan perbankan yang terdaftar di Bursa Efek Indonesia periode 2012-2016.
Analysis of Bank Health Levels Through Pre-Pandemic and During Pandemic at PT. Bank Central Asia, Tbk for the Period 2018-2022 With a Risk-Based Bank Rating (RBBR) Approach Uky Chesya Virtanya; Ira Phajar Lestari; Zaidatun Ekastuti; Sudarsono Sudarsono; Bertilia Lina Kusrina
Dinasti International Journal of Management Science Vol. 5 No. 1 (2023): Dinasti International Journal of Management Science (September - October 2023)
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/dijms.v5i1.2039

Abstract

The purpose of this research is to evaluate the health levels of PT Bank Central Asia Tbk before the pandemic in the period of 2018-2019 and during the pandemic in the period of 2020-2022 using the RBRR method. This study employed a quantitative research design with secondary data obtained from the annual reports on BCA official website. The data collection techniques used were documentation and library research. The analysis technique used is quantitative descriptive analysis. The results showed that PT Bank Central Asia was in the very healthy category during the period 2018 to 2022.. It can be seen from indicators such as NPL and LDR, which show that the bank has successfully managed the risks effectively. In addition, the GCG assessment also shows the implementation of good corporate governance. The calculations of ROA and NIM show that the bank has achieved excellent profitability. Furthermore, the calculation of CAR indicates that the bank has been effectively managed the capital. Therefore, PT Bank Central Asia is considered capable of dealing with negative influences and risks through before and during the pandemic.
ANALYSIS ON FINANCIAL DISTRESS USING ALTMAN Z-SCORE, SPRINGATE, AND ZMIJEWSKI METHODS IN TELECOMUNICATION COMPANIES LISTED ON THE INDONESIA STOCK EXCHANGE Zaidatun Ekastuti; Nafisa Haura Nur Elandta; Sudarsono Sudarsono; Ira Phajar Lestari; Hendri Rahmayani Asri
Bisnis Manajemen dan Keuangan Vol 1, No 2 (2024): BISMAKU - July 2024
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/bismaku.2024.v1i2.12425

Abstract

This study aims to predict and analyze the potential for financial distress in telecommunications companies listed on the Indonesia Stock Exchange (IDX) during the 2019-2022 period using the Altman Z-Score, Springate, and Zmijewski models. The type of data used is secondary data in the form of financial statements of telecommunications companies listed on the IDX for the 2019-2022 period. The analysis was carried out using the financial distress prediction method of the Altman Z-Score, Springate, and Zmijewski models. The results showed that there were three companies predicted to have potential financial distress using the Altman Z-Score and Springate models during the observed year. While the calculation results with the Zmijewski Model in 2019 and 2020 there is one company that is predicted to potentially experience financial distress.