Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI)
Vol. 4 No. 2 (2025): September 2025

Perbandingan TextRank Berbasis TF-IDF dan Word2Vec dalam Peringkasan Teks Berita Bahasa Indonesia

Gurning, Yohannes Christian (Unknown)
Saragih, Samuel Cristian (Unknown)
Lase, Yuyun Yusnida (Unknown)
Julham, Julham (Unknown)

Article Info

Publish Date
18 Aug 2025

Abstract

Automatic text summarization has become an essential solution for processing massive textual information, particularly in lengthy news articles. This study compares two variants of the TextRank algorithm using different weighting schemes: TF-IDF and Word2Vec, for summarizing Indonesian news texts. The dataset comprises 160 news articles from Kompas.com, which underwent preprocessing. Evaluation was conducted using ROUGE metrics (ROUGE-1, ROUGE-2, ROUGE-L), manual readability assessment, and execution runtime. The results indicate that TextRank with Word2Vec outperforms TF-IDF in both ROUGE scores (ROUGE-1 F1: 0.7033 vs 0.6454) and processing speed. These findings suggest that incorporating semantic representations into graph-based algorithms like TextRank significantly improves summary quality and runtime efficiency.

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Journal Info
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI)
Website

Abbrev

juktisi

Publisher

LKP Karya Prima Kursus

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering

Description

Focus dan scope dari JUKTISI (Jurnal Komputer Teknologi Informasi Sistem Komputer) terbit pertama kali pada tahun 2022 yang dimaksudkan sebagai media kajian ilmiah dari hasil pemikirian yang dituangkan kedalam Jurnal. Jurnal JUKTISI Lembaga Kursus dan Pelatihan Karya Prima terbit 3 (tiga) kali ...