Penerapan Algoritma Topic Modeling untuk Pemantauan Perhatian Publik Terhadap Ibu Kota Negara Baru Nusantara di Media Sosial

The discussion about the relocation of the new capital city (IKN) Nusantara has become the most widely discussed topic among the public, especially on social media. This is particularly true regarding the pros and cons from various aspects and their impacts. The aim of this research is to examine the trends of topics related to IKN and their development on the X social media platform using the Latent Dirichlet Allocation (LDA) method. The LDA method is combined with several different approaches, namely Bag-of-Words (BoW), bigram, and trigram to see the differences between the three approaches in generating dominant topics. This research has revealed that different LDA approaches can produce varying dominant topics. The BoW approach highlights the location of IKN and support for its development, bigram focuses on the IKN project, while trigram underlines President Jokowi's role in the development of the IKN project.