AI dalam Pekerjaan Sosial: Analisis Sentimen Kualitatif untuk Meningkatkan Kesejahteraan Masyarakat
Keywords:
analisis sentimen, kecerdasan buatan, pekerjaan sosial, kesejahteraan masyarakat, teknologi sosialAbstract
Community welfare is the primary goal of social work, requiring appropriate and sustainable interventions to improve the quality of life of individuals and communities. In the digital era, the application of artificial intelligence (AI) has begun to support social data analysis, including understanding public sentiment toward social welfare programs. However, a systematic approach integrating AI into social work to comprehensively analyze community perceptions is still lacking, creating a significant knowledge gap. This study employed a qualitative approach with in-depth interviews involving social workers, community development activists, AI experts, program beneficiaries, and policymakers, which were then analyzed using AI to identify and visualize public sentiment. The results indicate that AI integration enables the identification of critical needs, community priorities, and program evaluations more responsively, while supporting evidence-based planning and policymaking. These findings have important implications for the development of adaptive, inclusive, and technology-driven social work practices to enhance the effectiveness of welfare programs.
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