Institutional Repository UIN Sunan Kalijaga YogyakartaIMPLEMENTASI MANAJEMEN RISIKO BERBASIS EMIS (EDUCATION MANAGEMENT INFORMATION SYSTEM) DI SEKSI PENDIDIKAN MADRASAH KEMENTERIAN AGAMA KABUPATEN SLEMANNIM.: 19104090031Herlambang Surya PutraauthorThis study aims to analyze the implementation process of Education Management Information System (EMIS)-based risk management while identifying the forms of data management risks in the Madrasah Education Section of the Ministry of Religious Affairs Office in Sleman Regency. This qualitative descriptive-analytic research approach operationalizes DeLone & McLean's (2003) Information System Success Model as the main analytical framework. Data collection techniques were carried out through semi-structured interviews, observation, and documentation studies, with informants selected using purposive sampling (including the Acting Head of the Madrasah Education Section, Regency Operators, Executive Staff, and Madrasah Operators). All collected data were analyzed using Miles and Huberman's interactive model approach. The results of the study show that: (1) The implementation of risk management in the Madrasah Education Section of the Ministry of Religious Affairs in Sleman Regency has operated functionally, although it remains semi-formal due to the absence of written local risk management Standard Operating Procedures (SOPs). Risk management is integrated into the data Verification and Validation (Verval) workflow, which positions the Education Management Information System (EMIS) absolute (100%) as the foundation for data-driven policies in allocating BOS funds and PIP assistance. Mitigation efforts are carried out through periodic monitoring of BAP instruments in KKM forums, physical verification of stamped SPTJM documents, offline data backups, as well as the provision of visual SOPs and YouTube educational media. (2) Identified risk forms include: technical risks (system quality) in the form of latency and server crashes (server down) during peak periods; validity risks (information quality) such as duplicate NISN and NIK discrepancies that lead to deductions in BOS funds and PIP entitlements; algorithmic system limitations unable to detect substantive data anomalies; and human resource risks (service quality) driven by high operator turnover rates at the upstream level.371.2 Pendidikan - Manajemen2026-08-05UIN SUNAN KALIJAGA YOGYAKARTA;FAKULTAS ILMU TARBIYAH DAN KEGURUANThesis

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