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Analysis of Financial Distress using the Altman Z-Score Model, Springate Model, Zmijewski Model, and Grover Model Simatupang, Frido Sarita; Waspada, Ikaputra; Sari, Maya; Yuliawati, Tia
International Journal of Quantitative Research and Modeling Vol. 5 No. 2 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i2.695

Abstract

The tight competition in the business world in the automotive industry that occurs in the current era of technology and development means that companies must have broad and clever thinking to keep the company from the brink of failure. During this research period there was a decline in automotive sales and company profits in the automotive and component sub-sectors listed on the IDX for the 2016-2020 period. This research aims to find out which prediction model is the most accurate and precise in predicting financial difficulties using model accuracy tests. The population in this study was 13 companies, then a purposive sampling technique was used to obtain 10 companies that were included in the research criteria. The results of this research show that the Altman Z-Score, Springate, Zmijewski and Grover models have different results, the Altman model predicts that there are 5 companies that are indicated to be healthy, 3 companies are in the Gray area, and 2 companies are indicated to have the potential to go bankrupt, the Springate model predicts that there are 5 companies healthy and 5 unhealthy companies, the Zmijewski model predicts that there are 9 healthy companies and 1 company that is indicated to have the potential to go bankrupt, the Grover model predicts that there are 7 healthy companies and 3 companies that are indicated to be unhealthy. With these results, the financial distress model with the highest accuracy is the Zmijewski model with an accuracy level of 92%, while the accuracy levels of the Altman Z-Score, Springate, and Grover models are 76%, 44%, and 76% respectively. With these results, the Zmijewski model is the most suitable model for use in automotive and component sub-sector companies in 2016-2020.
Implementation of Electronic Customer Relationship Management on the Instagram Platform: Case Study on MSMEs Perfume Products Simatupang, Frido Sarita; Rahayu, Agus; Hendrayati, Heny
International Journal of Research in Community Services Vol. 5 No. 1 (2024)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v5i1.560

Abstract

Micro, Small and Medium Enterprise High Romantic Mens (HRM) Perfume was founded in 2019. This Micro, Small and Medium Enterprise operates in the fashion sector which operates in the online marketing sector in terms of marketing and the Micro, Small and Medium Enterprise has 30 reseller members. This research aims to determine the application of Electronic Customer Relationship Management (E-CRM) on the Instagram platform and determine the efforts made to improve good service, quality products and fast delivery in Micro, Small and Medium Enterprises using descriptive research methods. The research results show that the implementation of electronic customers relationship management on the Instagram platform is good and the service to consumers is quite good, a good image on Instagram still needs to be improved again by carrying out paid promotions and endorsements. The parties need to be aware of this condition. Micro, Small and Medium Enterprises to increase transaction potential so that the goals of Micro, Small and Medium Enterprises will be achieved.
Analysis of the Influence of Financial Literacy on Investment Decisions Mediated by Financial Behavior: A Study on Students of the Faculty of Economics and Business, Jenderal Achmad Yani University Simatupang, Frido Sarita; Nugraha, Nugraha; Purnamasari, Imas
International Journal of Research in Community Services Vol. 5 No. 3 (2024)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v5i3.717

Abstract

Investment is the activity of saving current funds to obtain future profits with the aim of getting value for money that can compete with the prevailing inflation rate. Lack of understanding or knowledge regarding how to invest, high risks and very limited income have resulted in the reluctance of Indonesian people to invest. The aim of this research is to obtain empirical evidence regarding the influence of financial literacy on investment decisions mediated by financial behavior among students at the Faculty of Economics and Business, Jenderal Achmad Yani University. The variables in this research are (1) financial literacy, (2) financial behavior, and (3) investment decisions. The research method used is descriptive verification and the approach used is quantitative. The population of this research is active students majoring in management and accounting at Jenderal Achmad Yani University. The sampling technique used was purposive sampling. The data collection technique is carried out by distributing online questionnaires (g-form). The data analysis techniques used in this research are simple linear regression analysis, multiple linear regression analysis, and the Sobel test. The research results show that financial literacy has a positive and significant influence on investment decisions, financial literacy has no influence on financial behavior, financial behavior has no influence on investment decisions, and financial behavior does not mediate the influence of financial literacy on investment decisions