Developing a Community-Based Dashboard to Strengthen Data Governance and Child Protection Systems: An ADDIE-Based Study in Indonesia

Abstract

Background: Violence against women and children (VAWC) remains a major public health and social protection challenge, particularly in low- and middle-income countries where community-based surveillance systems are often fragmented and underutilized. In Indonesia, Women and Child Protection Network (JPPA) cadres play a key role in identifying and responding to VAWC cases; however, limited access to standardized data management tools constrains evidence-informed decision-making. Methods: This study developed and evaluated a community-based dashboard to strengthen local data governance and child protection efforts. Using a Research and Development (R&D) approach based on the ADDIE framework, an Excel-based dashboard was designed to support case documentation, monitoring, visualization, and reporting. A post-implementation evaluation was conducted among 125 JPPA cadres from 41 urban villages in Semarang City, Indonesia, using structured observation instruments to assess dashboard utilization competencies. Results: The dashboard enabled systematic documentation and real-time visualization of violence cases by location, victim characteristics, perpetrator profiles, and case categories. Evaluation results showed excellent cadre performance, with an overall dashboard utilization competency index of 86.8%. Most cadres successfully performed core functions, including data entry, case monitoring, trend interpretation, and dashboard-based reporting. The dashboard also facilitated the identification of spatial and temporal trends, supporting evidence-informed planning and policy recommendations. Conclusions: The community-based dashboard improved local data governance and strengthened cadre capacity for child protection and violence response activities. As a low-cost and scalable innovation, it offers a practical approach to enhancing community-based surveillance and evidence-informed decision-making in resource-constrained settings.