Konvergensi Media dan Jurnalisme Data: Membentuk Ekosistem Berita Multimodal dan Analitis

Abstrak

This study analyzes the symbiotic relationship between media convergence and Data Journalism(DJ), arguing that DJ is the natural outcome and functional product of a converged mediaecosystem. This qualitative research employs the Systematic Literature Review (SLR) method on26 scientific sources (2020–2025) processed using a Comparative Matrix Analysis Framework.This framework maps the Dimensions of Media Convergence (Technological, Economical,Cultural) against the Stages of the Data Journalism Cycle (Acquisition, Cleaning, Analysis,Visualization). Key findings indicate that Technological Convergence provides the vital cloudcomputing infrastructure for data acquisition, while Cultural Convergence drives Multimodalityin presentation, enabling the implementation of interactive visualization. Organizationally,convergence yields a Hybrid Newsroom Model featuring a Data Desk Unit as a cross-functionalhub, overcoming DJ's workflow challenges. Nevertheless, this synergy creates new ethicalchallenges related to algorithmic bias in data gatekeeping. This study concludes that convergenceis a crucial work culture shift necessary for the integrity and effectiveness of modern DataJournalism.