Pemilihan Topik Skripsi Menggunakan LDA

  • Pijar Candra Mahatagandha Udayana University
  • Ngurah Agus Sanjaya ER Universitas Udayana


Writing is one of the most important activities to express ideas in visual form. However, many students have difficulty in writing research. The difficulty experienced by students lies in choosing a topic that will be developed in the background. The topics needed in research writing are topics that are currently being discussed by the community so that initial observations are needed to get the appropriate topic. However, not infrequently the observation stage will take a long time, so a solution is offered by building an LDA model to assist students in choosing a thesis topic. This study uses an unsupervised learning algorithm, namely LDA or (Latent Dirichlet Allocation) for topic modeling. The best model produced is the LDA model with a combination of 40 topics, alpha 0.4, beta symmetric, and corpus tf-idf with a coherence score of 0.43 and a perplexity of 199.09.


[1] Bela Aprilia, Dhimas Romadhoni AP, Lestari Widyaningsih, dan Chusna Apriyanti, "Analisis Kesulitan Mahasiswa dalam Mengembangkan Ide pada Basic Writing" Jurnal Penelitian Pendidikan, vol. 12, no. 1, p. 1669-1719, 2020.
[2] Muhammad Irawan Zain, Radiusman, Muhammad Syazali, Hasnawati, dan Lalu Wira Zain Amrullah, "Identifikasi Kesulitan Mahasiswa dalam Penyusunan Skripsi Prodi PGSD Universitas Mataram" Jurnal Penelitian Ilmu Pendidikan, vol. 4, no. 1, p. 73-85, 2021.
[3] Kusnanta Bramantya Putra, I Made dan Renny Pradina Kusumawardani, “Analisis Topik Informasi Publik Media Sosial di Surabaya Menggunakan Pemodelan Latent Dirichlet Allocation (LDA)” Jurnal Teknik ITS, vol. 6, no. 2, p. 2337-3520, 2017.
[4] Merawati, Ni Luh Putu , Ahmad Zuli Amrullah, dan Ismarmiaty, "Analisis Sentimen dan Pemodelan Topik Pariwisata Lombok Menggunakan Algoritma Naive Bayes dan Latent Dirichlet Allocation" Jurnal Resti (Rekayasa Sistem dan Teknologi Informasi), vol. 5, no. 1, p. 123-131, 2021.
How to Cite
CANDRA MAHATAGANDHA, Pijar; SANJAYA ER, Ngurah Agus. Pemilihan Topik Skripsi Menggunakan LDA. Jurnal Nasional Teknologi Informasi dan Aplikasinya (JNATIA), [S.l.], v. 1, n. 1, p. 173-180, nov. 2022. Available at: <>. Date accessed: 27 jan. 2023.

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