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All Journal Journal of E-business and Management Science
Fida Maulida Natswa
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Analysis of Potential Financial Distress Using the Altman Method (Z-Score), Springate Method (S-Score), and Zmijewski Method (X-Score) in Food and Beverage Companies Listed on the Indonesia Stock Exchange in 2019-2022 Adella; Winanti; Mega Indri Nurwati; Fida Maulida Natswa; Ilham Sidiq; Fajar Riyanto; Istajib Kulla Himmyázz
Journal of E-business and Management Science Vol. 2 No. 2 (2024): Desember 2024
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/jems.v2i2.194

Abstract

This study aims to find out whether there is a score difference  between Altman, Springate, and Zmijewski's methods in predicting Financial Distress, as well as to find out which prediction model is the most accurate in predicting Financial Distress in manufacturing companies in the  food & beverage subsector. The data used in this study is the company's financial statements published on the Indonesia Stock Exchange. The sample in this study is 6 food and beverage companies listed on the Indonesia Stock Exchange for the 2019-2022 period. The sampling technique using nonprobability sampling is purposive sampling. This study compares the scores of three financial distress prediction models  using the accuracy of the prediction model by considering the level of accuracy and type of error. The results of this study show that there is a difference between the three prediction models. Zmijewski's model is the best with an accuracy rate of 1% and an error  type of 0%, the second is the springate model with an accuracy rate of 0.958% and an error  type of 0.041%, and the last is the Altman model with an accuracy rate of 0.083% and  an error  type of 0.916%.
The Effect of Service Quality and Price on Customer Loyalty Leny Skincare Mega Indri Nurwati; Winanti; Adella; Fida Maulida Natswa; Ilham Sidiq; Sri Komalasari
Journal of E-business and Management Science Vol. 4 No. 1 (2026): June 2026
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/jems.v4i1.216

Abstract

The emergence of consumer dissatisfaction is indicated by customer complaints after performing beauty treatments at Leny Skincare. The purpose of this study was to determine the effect of service quality and price on Leny Skincare customer loyalty. The method used in this research is quantitative method. The population in this study were Leny Skincare Citra Raya customers who performed treatments totaling 120 consumers, then the sample in this study was determined using the Slovin formula with 92 respondents. The data collection technique used is a questionnaire method at the Leny Skincare Citra Raya beauty clinic. The data analysis method uses descriptive analysis, namely validity test, reliability test, classical assumption test, correlation test, determination coefficient test, regression test, and hypothesis testing using SPSS version 29.0. The results of the correlation test of service quality and price on customer loyalty were obtained at 0.858, which means that the relationship is simultaneously very strong. Based on the results of the coefficient of determination of service quality and price on customer loyalty, the value of R 2 is 0.737, which means that the coefficient of determination of service quality and price variables simultaneously affects customer loyalty by 73.7%. Based on the results of the t test, it can be concluded that service quality and price partially affect customer loyalty. Then from the results of the F test it can be concluded that there is a simultaneous significant influence between the variables of service quality and price on customer loyalty. Keywords: Service Quality, Price, and Customer Loyalty
Co-Authors Adella Fajar Riyanto Ilham Sidiq Istajib Kulla Himmyázz Mega Indri Nurwati Mega Indri Nurwati Sri Komalasari Winanti