Peran Sistem Informasi Dalam Mencegah Korupsi Disektor Publik

Abstract

Corruption in the public sector remains a major challenge that weakens governance, reduces public trust, and hinders economic development. In the digital transformation era, information systems have become strategic instruments for improving transparency, accountability, and efficiency in public administration. This study aims to analyze the role of information systems in preventing corruption through the implementation of digital governance technologies such as e-government, e-procurement, e-budgeting, Artificial Intelligence (AI), Big Data, blockchain, and whistleblowing systems. The research employed a qualitative approach using the Systematic Literature Review (SLR) method by examining various scientific articles and relevant literature published between 2021 and 2026. Data were analyzed using descriptive qualitative and thematic analysis techniques to identify the effectiveness of digital systems in reducing corruption opportunities in the public sector. The results indicate that information systems significantly improve transparency, reduce direct interactions in public services, strengthen digital supervision, and support real-time auditing processes. Furthermore, the integration of AI and Big Data technologies enables early detection of suspicious transactions, while blockchain technology enhances data integrity through immutable audit trails. However, several challenges remain, including cybersecurity threats, limited technological infrastructure, and insufficient human resource competencies. Therefore, the successful implementation of information systems in corruption prevention requires strong regulatory support, integrated digital infrastructure, and continuous improvement of technological capabilities in public institutions.