Rekomendasi Algoritmik dan Pola Konsumsi Konten Hiburan Generasi Muda di Kota Banda Aceh

Abstract

The development of digital platforms has changed how young people discover and consume entertainment content. Content is no longer obtained only through active searches but also through algorithmic recommendations tailored to users’ activities. This condition raises questions about how young people consume entertainment content, how algorithmic recommendations are related to their consumption choices and habits, and the extent to which users understand the recommendation process. This study aims to understand the patterns of entertainment content consumption among young people in Banda Aceh, the relationship between algorithmic recommendations and consumption choices and habits, and users’ understanding of the recommendation process. The study employed a descriptive qualitative approach. Data were collected through in-depth interviews with five participants aged 19–24 years who lived in Banda Aceh and actively used digital platforms, and were analyzed thematically. The results show that participants more often discovered content through the For You Page (FYP) or home feed, experienced content personalization and repetition, and used platforms longer than initially planned. Participants also demonstrated basic understanding of algorithmic recommendations and attempted to adjust the recommendations they received. The findings indicate that entertainment consumption patterns are formed through the interaction between user preferences and algorithmic recommendations.