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Journal : JOIV : International Journal on Informatics Visualization

Multi-Document Summarization Using Tuna Swarm Optimization and Markov Clustering Widiartha, I Made; Hartati, Rukmi Sari; Wiharta, Dewa Made; Sastra, Nyoman Putra; Astuti, Luh Gede
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.3365

Abstract

The Internet contains a large number of documents from various sources with similar content. The contents of documents that are almost identical will lead to news redundancy, making it difficult for readers to distinguish between factual information and opinions. Multi-document summarization has been designed to enable readers to easily understand the meaning of news documents without needing to read multiple documents. Multi-document summarization aims to extract information from several texts written about the same topic. The resulting summary report enables users to obtain a single piece of information from multiple similar pieces of information sourced from various locations. Various approaches have been used in creating multi-document summaries. Issues regarding accuracy and redundancy are still a significant focus of research. In this paper, a new multi-document summarization model was built using Tuna Swarm Optimization (TSO) and Markov Clustering (MCL) methods. The dataset of this research is Indonesian language news from various online media sources. Based on hyperparameter tuning using training data, the best TSO model performance was obtained at variable values a = 0.7, z = 0.9, and the optimal number of tuna fish > 80. From the research results, it was found that TSO outperformed other swarm intelligence methods. The use of MCL has proven to be effective, as evidenced by the performance results, where TSO achieved an average ROUGE value 7.95% higher when MCL was applied. In this performance test, four standard evaluation metrics of the ROUGE toolkit were used.
Co-Authors Adiartika, Made Harry Dananjaya Agus Muliantara Amanda, Naurah Adinda Putrie Anak Agung Istri Ngurah Eka Karyawati Ari Mogi, I Komang Awidya, Duta Bhisma Satwika Ari Priandana Cokorda Rai Adi Pramartha Culio, Shelomita Putrinda Dewa Made Wiharta Farin Istighfarizky Frady Cakra Negara, Anak Agung Ngurah Gede Dikka Widya Prana Gunawan, I Made Suma I Dewa Made Bayu Atmaja Darmawan, I Dewa Made Bayu I Gede Arta Wibawa I Gede Surya Rahayuda I Gede Tendi Ariyanto I Gusti Agung Gede Arya Kadyanan I Gusti Made Sinta Widya Ningrat I Gusti Ngurah Anom Cahyadi Putra I Ketut Gede Suhartana I Ketut Santa Wijaya I Komang Ari Mogi I Made Krisna Dwipa Jaya I Made Satria Bimantara I Made Suma Gunawan I Made Widhi Wirawan I Made Widiartha I Made Widiartha I Putu Gede Hendra Suputra I WAYAN SANTIYASA I Wayan Supriana Ida Ayu Gde Suwiprabayanti Putra Ida Bagus Ari Widhiana Kadek Diah Pramesti Karlina Surya Witanto Komang Kartika Noviyanti Krisnayana, Nyoman Kusuma, Ni Made Rika Padeswari Lie, Gary Melvin Luh Arida Ayu Rahning Putri Mahagangga, Made Dhandy Satria Mardana, I Dewa Made Michael Tanaya Ngurah Agus Sanjaya ER Ni Made Rika Padeswari Kusuma Ni Wayan Anti Andari Nyoman Putra Sastra Panji Palguna, I Gusti Agung Ngurah Pasaribu, Theresia Angel Oktarina Pramana, I Gst Bgs Bayu Adi Prebiana, Kiki Dwi Rukmi Sari Hartati Sandhiprasta, I Putu Riyan Satria Mahagangga, Made Dhandy Satya, I Dewa Gede Rama Semara Wijaya, I Gede Bagus Triana, Ni Putu Ayu Widhiana, Ida Bagus Ari Widya Prana, Gede Dikka Wirapati, Satya