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JAIT 2023 Vol.14(2): 295-301
doi: 10.12720/jait.14.2.295-301

Extractive Text Summarization for Indonesian News Article Using Ant System Algorithm

Abba Suganda Girsang * and Fransisco Junius Amadeus
Computer Science Department, BINUS Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta, 11480 Indonesia
*Correspondence: agirsang@binus.edu (A.S.G.)

Manuscript received August 23, 2022; revised October 1, 2022; accepted October 12, 2022; published April 4, 2023.

Abstract—The act of simplifying a text from its original source is known as text summarization. Instead of capturing the substance of the original content, an effective summary should be able to convey the information. Recent research on this form of extractive summarization has produced encouraging findings. A graphical model and a modified ant system method will be combined in this literature to provide a solution. The pheromone modification will decide which pertinent phrases will be selected to be a decent summary structure, while the modification process will focus on the point at which the graph construction will be built to represent an article. Additionally, a dataset (Indosum) including news stories that are often utilized in relevant research will be used in accordance to the summary in Indonesian. In addition, the ROUGE approach will be utilized as a tool for evaluation to rate the summary’s quality. Finally, this paper concludes with the challenges and future directions of text summarization.
Keywords—ant system algorithm, automatic text summarization, extractive summarization, graph-based summarization

Cite: Abba Suganda Girsang and Fransisco Junius Amadeus, "Extractive Text Summarization for Indonesian News Article Using Ant System Algorithm," Journal of Advances in Information Technology, Vol. 14, No. 2, pp. 295-301, 2023.

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.