Journal Reference: Identifying Drivers and Barriers of Traditional Culinary Pempek Palembang Through Organic User Comments on TikTok

However, pempek Palembang is currently experiencing challenges in sustaining its relevance as user preferences are continuing to shift under the influence of globalization. Earlier studies mostly depended on questionnaire-based methods; which often restrained the users from sharing their genuine experiences.

This study identifies drivers and barriers of pempek Palembang consumption by analyzing organic comments using the Latent Dirichlet Allocation (LDA) algorithm. 778 comments were collected from 4 review videos on Tiktok, after preprocessing, 566 clean comments were filtered. The analysis identified 6 optimal topics with a coherence score of 0.6153. The main drivers that were found are authentic taste, product preferences, ingredient quality, and user recommendations, while the main barriers consist of price-quality mismatch, limited accessibility, and inconsistent delivery experience.