Assessing SiGapLapor’s Effectiveness in Handling Alleged 2024 Election Violations: Evidence from South Sumatra Provincial Bawaslu (A Qualitative Study Using Etzioni’s Indicators)

Elections increasingly rely on digital reporting and case-handling systems to enhance oversight, transparency, and accountability in the management of alleged violations. In Indonesia, Bawaslu has implemented SiGapLapor to support structured reporting and handling processes across institutional levels. However, the effectiveness of such platforms relies not only on system availability but also on organisational readiness, coordination, and sustained use during peak election workloads. Empirical evidence on how SiGapLapor performs in operational practice at the provincial level remains limited. This study assessed the effectiveness of SiGapLapor in addressing alleged 2024 election violations at the South Sumatra Provincial Bawaslu, employing a descriptive qualitative design. Data were collected through structured interviews, observation, and documentation, involving six key informants from relevant managerial and operational roles. The analysis employed Etzioni’s effectiveness indicators—adaptation, integration, member motivation, and production—operationalised through readiness, socialisation, implementer capacity, and an input–process–output framework. Findings were systematically mapped to each indicator to highlight strengths and constraints in implementation. Results indicate that adaptation and integration were deemed adequate, and production supported structured inputs, a transparent workflow, and traceable outputs. Member motivation was not yet practical due to workload surges and a shortage of trained personnel, resulting in manual intake and delayed system entry during peak periods. This study presents an organisational-effectiveness evaluation of a digital platform for handling election-related violations, using Etzioni’s framework in a real provincial oversight context. The findings provide practical insights into which effectiveness dimensions operate well and which operational constraints should be prioritised to improve implementation consistency.