Characteristics, Components, and Structure of SIMDIK for Evidence-Based Educational Governance
By: Ayu Intan Fatimah,
Class 3.D MPI Graduate Program, UIN Sunan Gunung Djati Bandung
Introduction
Schools and madrasahs now generate large amounts of educational data, yet much of it remains only as administrative records. Integrated information systems such as SIMDIK are believed to be capable of processing this data into meaningful information for transparent, accountable, and fair policymaking. However, limited infrastructure, insufficient operator training, and system integration issues remain significant challenges (Rusdiana, 2019). This paper explains how the characteristics, components, and structure of SIMDIK support evidence-based planning, implementation, and evaluation of educational policies.
Data as a Strategic Resource
In evidence-based educational management, data is no longer just a formal record. It serves as the raw material for crafting well-targeted policies. SIMDIK acts as an instrument that transforms raw data into strategic information. Without an integrated system, school records such as attendance, grades, and finances remain as meaningless numbers.
Key Features of SIMDIK
SIMDIK links all educational data, students, teachers, finances, and infrastructure, within a single integrated system (Rusdiana, 2019). It processes data into information to support policy planning, implementation, and evaluation. To be effective, SIMDIK must be accurate, timely, flexible, adaptive, and ensure the security of personal data (Muzaki, 2022).
Core Components of SIMDIK
For SIMDIK to function optimally, several interdependent pillars are needed. Hardware such as computers, servers, and networks form its physical foundation. Applications or software like Dapodik, SIMPATIKA, and online PPDB handle data processing. Information on students, teachers, infrastructure, and finances is stored in a database as its primary source. Human operators, teachers, administrators, and principals, run the system in line with established procedures. Internet connectivity links data to relevant stakeholders (Rusdiana, 2019; BPS, 2024). Common obstacles include limited facilities, inadequate training, and difficulties in integrating multiple applications.
