Eddy Purnairawan
Program Studi Akuntansi, STIE Kalpataru

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Pengaruh Current Ratio, Net Profit Margin, Total Aset Turnover Terhadap Pertumbuhan Laba Perusahaan Beverages and Food Di Bursa Efek Indonesia Eddy Purnairawan
JURNAL ILMIAH EKONOMI DAN MANAJEMEN Vol. 1 No. 3 (2023): November
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jiem.v1i3.248

Abstract

The background of this research is to measure the success of a company based on financial performance with the aim that readers can know about the extent of analysis of the influence of Current Ratio (CR), Net Profit Margin (NPM), Total Asset Turnover (TAT) variables on profit growth. Data was obtained using purposive sampling with the following criteria: (1) manufacturing companies listed on the Indonesia Stock Exchange (BEI) and consistently existed during the study period (2008 to 2012); (2) 6 similar manufacturing companies out of a total of 16 companies; (3) the company did not experience losses. The analysis results show that the data used in this study have met the requirements because there is no auto correlation. The regression analysis results show that the variables Current Ratio, NetProfit Margin, Total Asset either simultaneously or partially have a significant effect on profit growth. Therefore, the researcher would like to suggest that the company that the researcher studied and for other companies can increase profits every year and improve their financial performance.
Development of a Smart Quality Assurance Framework Based on Forensic Audit 5.0 with Artificial Intelligence Support to Enhance Internal Quality Assurance Systems in Higher Education: Alignment with Permendiktisaintek No. 39 of 2025 Ali Mutaufiq; Mizwar Anwar; Diana Purnamasari; Vonny Novera; Eddy Purnairawan; Desti Kumala
Pasundan Social Science Development Vol. 6 No. 2 (2026): Pasundan Social Science Development (PASCIDEV)
Publisher : Doctoral Program of Social Science Pasundan University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56457/pascidev.v6i2.383

Abstract

The promulgation of the Ministry of Higher Education, Science, and Technology Regulation (Permendiktisaintek) No. 39 of 2025 institutes a systemic transformation in the governance and quality assurance paradigms of Indonesian Higher Education Institutions (HEIs). By simplifying accreditation tiers into a streamlined categorical system, decentralizing curriculum design to accommodate flexible pathways such as the Recognition of Prior Learning (RPL), and mandating absolute data integration with the national Higher Education Database (PD Dikti), the regulatory framework demands an unprecedented level of institutional agility, accountability, and data veracity. However, empirical observations indicate that traditional Internal Quality Assurance Systems (SPMI) are structurally constrained by analog workflows, fragmented data architectures, and retroactive evaluation methodologies that fail to pre-emptively mitigate compliance deviations. This comprehensive research report proposes the conceptualization and implementation of a Smart Quality Assurance (SQA) Framework, fundamentally anchored in the principles of Forensic Audit 5.0 and augmented by Artificial Intelligence (AI). The proposed framework integrates real-time continuous auditing mechanisms, machine learning-driven anomaly detection utilizing Classification and Regression Tree (CART) algorithms, and blockchain-based immutable ledgers to transform the standard Penetapan, Pelaksanaan, Evaluasi, Pengendalian, dan Peningkatan (PPEPP) cycle into a proactive, predictive, and strategically aligned digital ecosystem. By leveraging real-time data analytics and Explainable AI (XAI) such as SHapley Additive exPlanations (SHAP), the SQA framework addresses inherent vulnerabilities in academic governance, demonstrating empirical potential to reduce processing latency by up to 73% while enhancing data accuracy by 89%. The findings conclusively suggest that adopting AI-driven forensic auditing not only guarantees rigid compliance with the National Standards for Higher Education (SN Dikti) but also provides a scalable, ethically governed pathway for institutions to achieve the coveted "Terakreditasi Unggul" (Excellent Accreditation) status, thereby fostering global academic competitiveness and sustainable institutional resilience.