Metode Latent Dirichlet Allocation Untuk Menentukan Topik Pada Review Drama Korea

Alfun Roehatul Jannah; Ria Kristi; Muhammad Habibi

doi:10.30989/ijds.v2i1.1345

Alfun Roehatul Jannah Universitas Jenderal Achmad Yani Yogyakarta
Ria Kristi Universitas Jenderal Achmad Yani Yogyakarta
Muhammad Habibi Universitas Jenderal Achmad Yani Yogyakarta

DOI: https://doi.org/10.30989/ijds.v2i1.1345

Keywords: Korean dramas, South Korean culture, k-drama, review, LDA, Latent Dirichlet Allocation

Abstract

The Hallyu Wave, involving the spread of South Korean culture and popular media, has rapidly grown over the past two decades. In addition to entertainment industries such as K-pop and K-drama, this phenomenon has also extended into the food and K-beauty sectors. Korean dramas, as the core of Hallyu, have become a global phenomenon with a continuously expanding fan base worldwide. A global survey in 2022 indicated that 36 percent of respondents in 26 countries considered Korean dramas very popular in their respective countries. In Indonesia, Korean films and dramas remain favorites, with 72 percent of streaming audiences choosing them on OTT services throughout 2022. Viu dominates as the most popular Korean drama streaming platform with 57 percent usage, followed by Netflix, Telegram, and WeTv. This research focuses on the analysis of Korean drama review data from 2015 to 2023 using the Latent Dirichlet Allocation (LDA) method. The goal is to provide a deep understanding of critical aspects such as acting, storyline, and cinematography. With LDA, this research aims to identify topics related to these elements, offering specific insights into audience preferences. From the conducted research, 10 ideal topics emerged out of 20 existing topics to ensure topic consistency using topic coherence. From the topic coherence results for these 20 topics, it can be concluded that the overall topic score for topic 10 is 0.527, providing ideal results for topic modeling in accordance with the rules.

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