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All Journal Journal of Management and Bussines (JOMB) International Journal of Health, Economics, and Social Sciences (IJHESS) Jurnal Akuntansi, Manajemen dan Bisnis Digital
Dini Pratiwi
Universitas Serelo Lahat
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Public Health Social Sciences

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Pengaruh Modal Kerja, Kas dan Piutang Terhadap Profitabilitas pada Perusahaan Industri Barang Konsumsi di Bursa Efek Indonesia Dini Pratiwi; Melia Andayani; Nidyawati Nidyawati; Iskandar Malian; Pahlan Pahlan
Journal of Management and Bussines (JOMB) Vol 5 No 2 (2023): Journal of Management and Bussines (JOMB)
Publisher : IPM2KPE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/jomb.v5i2.7982

Abstract

This research aims to determine the influence of working capital, cash and receivables on the probability of consumer and industrial goods companies on the Indonesian Stock Exchange. This research uses the cross section method. The results of the t test research show that working capital (X1) against probability (Y) can be processed partially using a calculated t of 1.971≤ -6.5253. Therefore, there is a partially significant influence of working capital on probability. For cash (X2) the probability (Y) t count is -6.64449, while the t count is 1.9721, so it can be concluded that t > t table means that there is a partial significant difference in cash to the probability, at the t count probability of 4.123983 t table is 1.9721. In conclusion, working capital, cash and receivables simultaneously influence probability. Keywords: Cash, Working Capital, Receivables, Profitability
Analisis Default Kartu Kredit Dengan Deep Learning Untuk Mendukung Keputusan Manajemen Keuangan Digital Dini Pratiwi; Deki Fujiansyah
Jurnal Akuntansi, Manajemen dan Bisnis Digital Vol 5 No 2 (2026): April
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jambd.v5i2.10484

Abstract

The development of the digital economy requires financial institutions to optimize risk management through data-driven analysis. This study aims to analyze the factors influencing credit card default and to develop a predictive model using a Deep Learning algorithm based on an Artificial Neural Network (ANN) to support digital financial management decision-making. The data were obtained from the public “Default of Credit Card Clients” dataset (UCI/Kaggle), consisting of 30,000 observations and 23 financial variables. The results show that the model achieved an accuracy of 81.6% and an AUC value of 0.771, with high specificity but relatively low recall. These findings indicate that deep learning is effective in capturing non-linear patterns in customer payment behavior and can serve as a decision support tool for digital financial institutions in identifying credit risk and designing more adaptive default mitigation strategies.
The Influence of Transformational Leadership Style and Emotional Intelligence on the Performance of Generation Z Employees in the Hybrid Work Era (A Study at PT Sari Mas Permai, Palembang) Vemi Fytaloka; Dini Pratiwi
International Journal of Health, Economics, and Social Sciences (IJHESS) (Special Issue) - International Journal of Health, Economics, and Social Sciences (IJHESS) July 2025
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/ijhess.v7i3.8578

Abstract

This study aims to examine the influence of transformational leadership style and emotional intelligence on the performance of Generation Z employees in the context of hybrid work at PT Sari Mas Permai, Palembang. The post-pandemic work landscape has driven companies to adapt to flexible work systems, which require new managerial approaches in managing the younger generation of employees. This research employs a quantitative approach using a survey method involving 100 Generation Z employees working in the administration and marketing departments. The research instruments were tested for validity and reliability, then analyzed using multiple linear regression.The results show that transformational leadership style has a positive and significant effect on employee performance, with a coefficient of 0.328 and a significance value of 0.013. Meanwhile, emotional intelligence exerts a more dominant influence with a coefficient of 0.467 and a significance value of 0.000. Simultaneously, the two independent variables explain 62.4% of the variation in employee performance (R² = 0.624). These findings affirm that the combination of inspirational leadership and strong emotional abilities are key factors in enhancing the performance of Generation Z in a dynamic and digital work environment.The implications of this study highlight the importance of developing a transformative leadership model and strengthening emotional intelligence as part of human resource management strategies. Companies need to provide training and mentoring programs to foster a work culture that supports adaptation and productivity among young employees in the hybrid work era.
The Influence of Financial Literacy on Students’ Personal Financial Management in the Digital Era Dini Pratiwi; Vemi Fytaloka
International Journal of Health, Economics, and Social Sciences (IJHESS) (Special Issue) - International Journal of Health, Economics, and Social Sciences (IJHESS) July 2025
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/ijhess.v7i3.8579

Abstract

This study examines the influence of financial literacy on students’ personal financial management in the digital era, with evidence from universities in South Sumatra. Financial literacy is increasingly important as students are exposed to diverse financial products and digital platforms such as e-wallets, QR-based payments, and online credit services. A quantitative research design was employed, with data collected from 385 students across public and private universities in South Sumatra using purposive sampling. The research instrument measured students’ financial literacy in budgeting, saving, credit management, and digital financial tools, as well as their financial management practices in planning, saving, and controlling expenses. Data were analyzed using multiple linear regression. The findings indicate that financial literacy has a positive and significant effect on students’ personal financial management. The regression model explains 34.4% of the variance in financial management behavior, suggesting that while financial literacy is essential, other factors such as self-control, lifestyle, and income also play a role. The study contributes to the literature by integrating digital financial literacy into the analysis of personal financial management and provides practical implications for universities and policymakers to strengthen financial education. These findings emphasize the urgent need for financial literacy programs tailored to the digital financial ecosystem to ensure sustainable financial behavior among Generation Z students.
Co-Authors Deki Fujiansyah Iskandar Malian Melia Andayani Nidyawati Nidyawati Pahlan Pahlan Vemi Fytaloka