Analysis of Civil Servant Neutrality in Palembang Through Discourse Network Analysis and Social Network Visualization (GEPHI)
DOI:
https://doi.org/10.59261/jbt.v7i2.625Keywords:
bawaslu, civil servant neutrality, discourse network analysis, social network, Palembang local electionAbstract
Background: Civil servant (ASN) neutrality is often viewed merely as a matter of administrative and legal compliance; however, in practice, it involves complex narrative dynamics among various policy actors in the public sphere.
Objective: This study aims to map the policy discourse structure of ASN neutrality in the 2024 Palembang local election and identify key actors and their underlying patterns of interest.
Methods: Using a mixed-methods approach through Discourse Network Analysis (DNA) and social network visualization via Gephi software, this study analyzed 56 statements from 40 relevant policy actors.
Results: The results reveal a fragmented discourse network (96 nodes; density = 0.05; modularity ≈ 0.87), with consensus concentrated around law enforcement and disciplinary sanctions. Bawaslu RI emerged as the actor with the highest degree centrality (degree ≈ 15 connections), dominating the oversight narrative alongside regulatory agencies, whereas civil society groups and ASNs exhibited lower centrality scores and remained peripheral in the policy debate.
Conclusion: The study concludes that strengthening bureaucratic ethical education and fostering more inclusive cross-sectoral collaboration are essential to safeguarding bureaucratic integrity from practical political intervention.
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