Pemilihan Topik Skripsi Menggunakan LDA
Abstract
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.
References
[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.
This work is licensed under a Creative Commons Attribution 4.0 International License.
The Authors submitting a manuscript do so on the understanding that if accepted for publication, the copyright of the article shall be assigned to JNATIA (Jurnal Nasional Teknologi Informasi dan Aplikasinya) as the publisher of the journal. Copyright encompasses exclusive rights to reproduce and deliver the article in all forms and media, as well as translations. The reproduction of any part of this journal (printed or online) will be allowed only with written permission from JNATIA (Jurnal Nasional Teknologi Informasi dan Aplikasinya). The Editorial Board of JNATIA (Jurnal Nasional Teknologi Informasi dan Aplikasinya) makes every effort to ensure that no wrong or misleading data, opinions, or statements be published in the journal.
This work is licensed under a Creative Commons Attribution 4.0 International License.
