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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.
Pendampingan Perhitungan Potensi Penerimaan Retribusi Pelayanan Persampahan di Kabupaten Bandung Eko Aristanto; Zaenal Aripin; Aspan Priana; Idris Idris; Vonny Novera; Diana Purnamasari; Wasinininingsih Wasinininingsih; Angga Sukmana
Jurnal Pengabdian Bersama Masyarakat Indonesia Vol. 4 No. 3 (2026): Juli : : Jurnal Pengabdian Bersama Masyarakat Indonesia
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jpbmi.v4i3.995

Abstract

This community engagement program aimed to assess the revenue potential of municipal solid waste service charges based on the mapping of chargeable service users and the applicable service tariffs stipulated in Bandung Regency Regional Regulation No. 9 of 2023 on Regional Taxes and Regional Charges. The strategic partners involved in this program included the Bandung Regency Environmental Agency, the Regional Technical Implementation Unit (UPTD) for Solid Waste Collection and Transportation, Integrated Waste Processing Facilities (TPST), and the Regional Final Waste Processing Site (TPPAS). The technical assistance employed a participatory approach consisting of technical coordination meetings, and field surveys to collect data, validate findings, and formulate recommendations for optimizing municipal solid waste service charge revenue. The primary outcome of this community engagement program was the successful identification of 60,341 household chargeable units and 62,635 non-household chargeable units as the basis for estimating the revenue potential of municipal solid waste service charges in Bandung Regency. Based on the assessment, the estimated revenue potential reached IDR 13,873,338,846 under the pessimistic scenario, IDR 14,500,674,306 under the moderate scenario, and IDR 18,384,609,542 under the optimistic scenario.