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INDONESIA
Indonesian Journal of Economics, Business, Accounting, and Management
Published by PT. Solusi Edukasi Berdikari
ISSN : -     EISSN : 29880211     DOI : -
Core Subject : Economy, Social,
Economics, Econometrics & Finance Social Sciences
We invite researchers, academics and practitioners to submit research results, internship reports, and business design manuscripts to the Indonesian Journal of Economics, Business, Accounting, and Management (IJEBAM). Indonesian Journal of Economics, Business, Accounting, and Management (IJEBAM) is an open peer-reviewed journal dedicated to the publication of research articles, internship reports, and business design articles of economic, business, accounting and management quality, but not implicitly limited. The peer-review process is applied and ethical consideration is in our best interest. All publications in the Indonesian Journal of Economics, Business, Accounting, and Management (IJEBAM) are open access which allows articles to be freely available online without any subscription and free of charge. please click here to submit online. The cost of publishing articles can be accessed by clicking here. Acceptance of manuscripts has started from now on. We are waiting for your best manuscripts for quality publications. Thank you
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol 3 No 5 (2025): June 2025" : 5 Documents clear
Analysis of the Impact of ROE, EPS, CR, and DER Ratio on Stock Return in Automotive Sector Companies Listed on the IDX Tua, Sahat Mangahut; Kusumawardhani, Ratih; Damanik, Johannes Maysan
Indonesian Journal of Economics, Business, Accounting, and Management (IJEBAM) Vol 3 No 5 (2025): June 2025
Publisher : PT SOLUSI EDUKASI BERDIKARI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63901/ijebam.v3i5.129

Abstract

This study analyzes the effect of return on equity (ROE), earnings per share (EPS), current ratio (CR), and debt to equity ratio (DER) on stock return in automotive sector companies on the Indonesia Stock Exchange (IDX) from 2016 to 2023. Using a quantitative research approach, this study uses multiple linear regression analysis on a sample of automotive companies to examine the relationship between these financial performance indicators and stock returns. The results indicate that ROE, EPS, CR, and DER each significantly impact stock return. The simultaneous analysis confirms these four variables collectively influence stock return significantly. These findings suggest that investors should consider these financial ratios when making investment decisions in the automotive sector.
The Influence of Financial Inclusion, Financial Literacy, and Financial Technology on The Financial Performance of MSMEs in Gunungkidul District Puspitasari, Novi; Sari, Pristin Prima; Kusumawardhani, Ratih
Indonesian Journal of Economics, Business, Accounting, and Management (IJEBAM) Vol 3 No 5 (2025): June 2025
Publisher : PT SOLUSI EDUKASI BERDIKARI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63901/ijebam.v3i5.132

Abstract

This study looks at how the financial performance of MSMEs in Gunungkidul Regency is affected by financial inclusion, financial literacy, and financial technology. Purposive sampling is the research methodology employed in this study. The R2, T, and F-Tests are used in this study for test hypotheses. The study's findings show that the financial success is significantly and favorably impacted by the financial inclusion variable, with a regression coefficient value of 6,675 and a significance value of 0,0000 < 0,05. As evidenced by its value of 6,242 and significance value of 0,0000 < 0,05; the financial literacy variable has a significant and favorable impact on financial performance. Financial technology also has a significant and beneficial impact, with a value of 3,187 and a significance value of 0,002 < 0,05.
How to Minimize Economic Loss in Future Pandemic? A Trend Analysis Based on the Role of AI Technology Mahmud, Danish
Indonesian Journal of Economics, Business, Accounting, and Management (IJEBAM) Vol 3 No 5 (2025): June 2025
Publisher : PT SOLUSI EDUKASI BERDIKARI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63901/ijebam.v3i5.137

Abstract

The COVID-19 pandemic revealed the vulnerability of global economies to health crises, highlighting the need for innovative solutions. This study explores how Artificial Intelligence (AI) can reduce the financial impact of pandemics across healthcare, supply chains, and economic forecasting. Using trend analysis, it shows how AI technologies—such as predictive analytics, automation, and optimization—enhance decision-making and support continuity in health and business sectors. AI aids in virus spread forecasting, efficient resource allocation, and faster precision medicine, helping mitigate both immediate and long-term economic consequences. The research underscores the urgency of investing in AI infrastructure and regulatory frameworks to prepare for future crises. Ultimately, AI is shown not only to support pandemic response but also to lay the foundation for sustainable economic recovery and resilient societies.
The Impact of Argument Quality, Perceived Usefulness, and Ease of Use on Purchase Intentions: Evidence from Viral Marketing of Mobile Applications in Indonesia Nashrulloh, Chabib
Indonesian Journal of Economics, Business, Accounting, and Management (IJEBAM) Vol 3 No 5 (2025): June 2025
Publisher : PT SOLUSI EDUKASI BERDIKARI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63901/ijebam.v3i5.138

Abstract

This study investigates how argument quality, perceived usefulness (PU), and perceived ease of use (PEU) shape user attitudes (ATT) and purchase intentions (PI) toward mobile applications promoted through viral marketing. Using a quantitative survey of 200 Indonesian social‑media users, data were analysed with partial least squares‑structural equation modelling (SmartPLS 4). Results show that argument quality positively influences PU (β = 0.412; p < 0.001) and PEU (β = 0.346; p < 0.001). PU (β = 0.364; p < 0.001) and PEU (β = 0.233; p < 0.01) both enhance ATT, which in turn strongly predicts PI (β = 0.678; p < 0.001). The findings highlight the importance of rational, credible messaging and intuitive interface design in converting viral exposure into buying decisions.
Integration of waste in SDGs Nurlilasari, Puspita; Rahmah, Devi Maulida; Kastaman, Roni
Indonesian Journal of Economics, Business, Accounting, and Management (IJEBAM) Vol 3 No 5 (2025): June 2025
Publisher : PT SOLUSI EDUKASI BERDIKARI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63901/ijebam.v3i5.139

Abstract

The accelerating threats of climate change and environmental degradation require industries to adopt holistic and integrated solutions that go beyond conventional pollution control. This paper presents a comprehensive analysis of the integration between carbon credit systems and industrial wastewater management, viewed through the lens of chemical engineering and process optimization. It emphasizes how the synergistic deployment of carbon reduction technologies and wastewater treatment innovations can support global climate and water sustainability targets, particularly Sustainable Development Goals (SDGs) 6 (Clean Water and Sanitation), 7 (Affordable and Clean Energy), 9 (Industry, Innovation and Infrastructure), 12 (Responsible Consumption and Production), and 13 (Climate Action). By exploring both technological and policy frameworks—including the Paris Agreement, national emission regulations, and voluntary market mechanisms such as the Gold Standard and Verified Carbon Standard—this study outlines pathways for industries to reduce their greenhouse gas emissions while simultaneously improving water quality, recovering energy and nutrients, and enhancing economic returns through circular resource use. The paper also identifies key challenges in implementation, including verification complexity, regulatory gaps, and financial constraints, and proposes innovations such as modular bioelectrochemical systems, microalgae-based treatment for CO₂ fixation, and blockchain-enabled carbon credit verification. In doing so, it aims to provide a roadmap for climate-resilient and environmentally sound industrial transformation grounded in chemical engineering principles.

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