Development of Real Estate Internship Supervisory Assessment System (REISAS) for Green Education Ecosystem

The rapid evolution of the global digital economy and the Fourth Industrial Revolution have necessitated a transformative shift in how higher education institutions manage experiential learning. Conventional industrial training assessment models, particularly in professional disciplines like Real Estate, have historically relied on analogue, paper-based workflows. These legacy systems are characterized by administrative delays, significant risks of document loss during transit, and a structural inability to facilitate real-time monitoring of student progress. To address these inefficiencies while advancing the objectives of a sustainable and digitalized future, the Real Estate Internship Supervisory Assessment System (REISAS) was developed. This research details the conceptualization, methodology, and output of Phase 1 of REISAS, which focuses on the digitalization of the industry supervisor module and the integration of a paperless submission framework. By replacing manual scoring with automated digital rubrics and centralized analytical dashboards, the system streamlines the dual-stakeholder evaluation model required for Real Estate students. The analysis demonstrates how REISAS aligns with Environmental, Social, and Governance (ESG) principles and the United Nations Sustainable Development Goals (SDGs) 4, 9, and 12. Furthermore, the system’s architecture supports the Ministry of Higher Education Digitalization of Higher Education Action Plan 2025-2030 by fostering an effective, adaptive, and lifelong learning ecosystem. The findings suggest that REISAS serves as a scalable model for professional internship programs, offering a transparent, technology-driven framework that replaces manual inefficiencies with high-fidelity competency tracking and real-time administrative oversight

Internship, supervisory assessment, grading

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