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Population Census in 2010 states that the population of Denpasar is 788,589 people, while according to the publication of Badan Pusat Statistik (BPS) 2017, the population has increased to 914,300 people. The Increasing number of the population raises various problems that must be faced by the Denpasar’s Government. The variety of problems is in line with the increase in complaints data posted through Pengaduan Rakyat Online Denpasar, which made it difficult to know the main topics of the problems. The purpose of this research is to find the main topics of complaints Denpasar residents quickly and efficiently. The method used to achieve the objective of the research is Latent Dirichlet Allocation topic models with Gibbs sampling parameter estimation. Based on the result of the research, it can be concluded that the number of topics is 19 topics. Number of topics obtained through the highest log likelihood value -42,528.84. The trending topic is based on the highest topic probability, topic 4 with a topic probability value 0.055. Based on these results the main topic trends are on topic 4 which can be interpreted that many residents of Denpasar complained about damaged roads and requested to fix the roads.

Trend Topic Analysis using Latent Dirichlet Allocation (LDA) (Study Case: Denpasar People’s Complaints Online Website)