Communication Networks Drive Key Barriers in Indonesia One Data Policy Implementation

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Yogyakarta — A 2026 study by Fibriyani Nur Aliya, Fransiskus Trisakti Haryadi, and Ahmad Romadhoni Surya Putra from Universitas Gadjah Mada reveals that the main obstacles in implementing the Indonesia One Data policy are not technological or regulatory, but rooted in communication network structures between agencies. The research highlights that interaction patterns among actors strongly influence coordination effectiveness and policy performance.

Indonesia One Data is a cross-sector policy designed to integrate public data management as a foundation for policymaking. However, its implementation still faces major challenges, including sectoral ego, limited data sharing, and weak inter-agency coordination.

These challenges are not unique to Indonesia. International experiences show that successful national data systems depend heavily on relationships between actors within organizational networks. Countries with strong coordination mechanisms and clearly defined roles achieve better outcomes compared to fragmented systems.

In Indonesia, bureaucratic complexity and unequal institutional capacity intensify these challenges. As a result, communication among agencies is uneven and often concentrated around specific actors.

The study applied a network analysis approach to map communication relationships among actors within the Indonesia One Data Forum. Data were collected from 80 respondents across 10 provinces and analyzed using network analysis software to examine structural patterns, actor positions, and connectivity levels.

The findings reveal that the communication network remains weak and fragmented. The network includes 402 actors with 757 connections, but its density is extremely low at 0.0047, indicating limited and uneven interaction across the system.

Most actors are connected to only one other actor, reflecting low communication initiative. The network also forms clusters with strong internal communication but weak inter-group connections, creating fragmentation.

This structure results in a core–periphery pattern, where a small number of central actors hold extensive connections while most actors remain on the periphery with limited access to information. Consequently, information flow depends heavily on a few key actors.

The study identifies three types of key agents within the communication network. Agents with high closeness centrality have faster and broader access to information. Agents with high betweenness centrality act as connectors between groups and play a crucial role in reducing network fragmentation. Agents with high authority centrality exert strong influence over coordination and interaction within the network.

Interestingly, influence within the network is not always tied to formal positions. In many cases, influential actors are staff members with extensive experience and deep institutional knowledge. This finding suggests that legitimacy in communication networks is shaped by experience as much as by formal authority.

According to Fibriyani Nur Aliya from Universitas Gadjah Mada, the success of Indonesia One Data depends on strengthening communication relationships between actors. She emphasized that improving coordination requires not only regulatory frameworks but also stronger communication structures.

Fransiskus Trisakti Haryadi from Universitas Gadjah Mada explained that bridging actors play a critical role in maintaining network integration. Without them, cross-sector communication becomes fragmented and inefficient.

The study offers important implications for public policy. Strengthening cross-sector communication mechanisms, distributing communication roles more evenly, and reducing dependence on specific actors are essential steps for improving policy implementation.

It also demonstrates that network analysis can serve as a powerful tool for understanding public policy dynamics. This approach enables policymakers to identify key actors, communication patterns, and structural barriers within complex governance systems.

Fibriyani Nur Aliya is affiliated with Universitas Gadjah Mada. Fransiskus Trisakti Haryadi is affiliated with Universitas Gadjah Mada. Ahmad Romadhoni Surya Putra is affiliated with Universitas Gadjah Mada.

Source:
Organizations, Agents, and Networks Analysis for Understanding Obstacles in “Indonesia One Data”
East Asian Journal of Multidisciplinary Research, 2026

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