ANALISIS KOMPARATIF BERTOPIC DAN LDA UNTUK PEMODELAN TOPIK PUBLIKASI AKADEMIK PADA DATASET GOOGLE SCHOLAR

PUTRA, RIZQI ALIF PERMANA (2026) ANALISIS KOMPARATIF BERTOPIC DAN LDA UNTUK PEMODELAN TOPIK PUBLIKASI AKADEMIK PADA DATASET GOOGLE SCHOLAR. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

The mapping of educators' expertise within academic databases is conducted to minimize research redundancy through a structured text mining approach. This research implements the extraction of latent theme structures by comparing two topic modeling architectures: Latent Dirichlet Allocation (LDA) based on a Bag�of-Words matrix and BERTopic based on spatial dimension reduction and semantic embeddings. The document corpus was constructed by integrating publication titles and scientific field attributes from the Google Scholar repository, resulting in 1,879 validated documents published between 2015 and 2026. Quantitative evaluation using the Coherence Score (

Item Type:	Thesis (S1)
NIM/NIDN Creators:	41522010001
Uncontrolled Keywords:	Pemodelan Topik, Latent Dirichlet Allocation, BERTopic, Google Scholar, Coherence Score.
Subjects:	000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 020 Library and Information Sciences/Perpustakaan dan Ilmu Informasi > 028 Use of Other Information Media/Membaca > 028.7 Use of Books and Other Information Media As Sources of Information/Penggunaan Buku dan Media Informasi Lain Sebagai Sumber Informasi 500 Natural Science and Mathematics/Ilmu-ilmu Alam dan Matematika > 510 Mathematics/Matematika > 518 Numerical Analysis/Analisis Numerik, Analisa Numerik > 518.1 Algorithms/Algoritma
Divisions:	Fakultas Ilmu Komputer > Informatika
Depositing User:	khalimah
Date Deposited:	14 Aug 2026 02:40
Last Modified:	14 Aug 2026 02:40
URI:	http://repository.mercubuana.ac.id/id/eprint/103248

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