Article Per Year (5 Year)
p-Index From 2021 - 2026
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All Journal Economics and Digital Business Review
Abd Rakhman Laba
Master of Management, Faculty of Economics and Business, Hasanuddin University
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Financial Performance Analysis at CV Hasna Laundry RSU PKU Muhammadiyah Delanggu 2019-2023 A. Adelia Pratiwi; Abd Rakhman Laba; Fauzi R. Rahim
Economics and Digital Business Review Vol. 5 No. 2 (2024)
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/ecotal.v5i2.1699

Abstract

Financial Performance Analysis at CV Hasna Laundry RS PKU Muhammadiyah Delanggu 2019-2023 (Guided by Mr Abd. Rakhman Laba, and Mr. Fauzi R. Rahim). This research aims to analyz the financial performance of CV Hasna Laundry at RS PKU Muhammadiyah Delanggu from 2019 to 2023. Operating in the growing laundry service industry, CV Hasna Laundry primarily caters to industrial clients, including hospitals, where maintaining cleanliness and hygiene is crucial. The study assess the company's financial performance using various financial ratios, such as liquidity, solvency, activity, and profitability ratios, the study provides a comprehensive understanding of its financial condition. The analysis reveals a general trend of increasing laundry service demand, with notable fluctuations due to seasonal factors and the pandemic's impact. The findings suggest that CV Hasna Laundry experienced significant growth in 2020 and 2021, driven by heightened hygiene awareness and increased laundry needs during the pandemic. However, the growth rate stabilized post-pandemic, emphasizing the need for strategic planning to sustain business operations and enhance service quality.
Comparative Analysis of Altman Method Measurement, Springate, Zmijewski and Grover In Predicting Financial Distress Irda Adriana Wahyuni; Abd Rakhman Laba; Fauzi R. Rahim
Economics and Digital Business Review Vol. 5 No. 2 (2024)
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/ecotal.v5i2.1700

Abstract

This research aims to find out and analyze conditions financial distress in mining sector companies listed on the Stock Exchange Indonesia for the 2019-2023 period using the Altman Z prediction model Score, Springate, Zmijewski and Grover. The sample companies are: used in this research were 33 companies obtained by purposive sampling and observations for 5 years to obtain the sample size into 165 samples. The type of data used is secondary data, meanwhile data retrieval techniques obtained from historical data of mining companies, financial reports published by the Indonesian Stock Exchange and literature studies. Technique The data analysis used is a parametric statistical test, namely the Paired Sample test t-test and test the accuracy of the prediction model with the condition that the data must be distributed normal. The results of this study show significant differences between Altman, Springate, Zmijewski, and Grover models in predicting financial distress, and the highest level of accuracy achieved by the Zmijewski model with level accuracy of 94%
Co-Authors A. Adelia Pratiwi Fauzi R. Rahim Irda Adriana Wahyuni