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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 A A I N Karyawati Agus Muliantara Agus Zainal Arifin Alit Indrawan, I Gusti Ngurah Alvin Wiraprathama Anak Agung Gde Agung Pranandita Anak Agung Istri Ngurah Eka Karyawati Anggotra, Puspadevi Anny Yuniarti Apsari, Made Sri Ayu Ari Mogi, I Komang Arsa, Dewa Made Sri Astawa, Ni Wayan Amanda Putri Atmojo, Firman Ali Eka Ayu Nikki Asvikarani bratha, dede khausa bayu Darlis Herumurti Dewa Made Wiharta Firman Ali Eka Atmojo Gede Agung Aji Andar Sakti Gede Wisnu Bhaudhayana Gilang Indrawan, Muhammad Caesar Giri, I Nyoman Yusha Tresnatama Gst. Ayu Vida Mastrika Giri Humaira, Fitrah Maharani Humaira, Fitrah Maharani I Dewa Made Bayu Atmaja Darmawan, I Dewa Made Bayu I Gede Arta Wibawa I Gede Santi Astawa I Gusti Agung Gede Arya Kadyanan I Gusti Ngurah Anom Cahyadi Putra I Kadek Aldy Oka Ardita I Ketut Gede Suhartana I Made Eko Satria Wiguna I Made Nusa Yudiskara I Made Satria Bimantara I Putu Bayu Eka Pratama I Putu Gede Hendra Suputra I Putu Satwika I WAYAN SANTIYASA I Wayan Sugiana I Wayan Supriana Ida Bagus Gede Dwidasmara Ida Bagus Gede Dwidasmara Ida Bagus Made Mahendra Julianti, Syelvia Kadek Nanda Banyu Permana Ketut Ardha Chandra Kusuma, Putu Agus Dharma Luh Arida Ayu Rahning Putri Luh Gede Astuti Luh Gede Astuti Nathanael Richie Thomas Ngurah Agus Sanjaya ER Ni Made Elvina Aryadhika Putri Nyoman Putra Sastra Octavia, Hana Christine Panji Palguna, I Gusti Agung Ngurah Pijar Candra Mahatagandha Pramana, I Gst Bgs Bayu Adi PRATIWI, NI MADE DINDA Priandana, Bhisma Satwika Ari Purba, Kevin Joel Putra, I Gusti Ngurah Agung Widiaksa Raharja, Made Agung Ramadhan, Zhaqy Hikkammi Gullam Rukmi Sari Hartati Ryan, Ida Bagus Putu Saiful Bahri Musa Satria Wiguna, I Made Eko Satya, I Dewa Gede Rama Sitinjak, Anugrah Ignatius Tegar Palyus Fiqar Tristan Bey Kusuma Widnyana, I Kadek Agus Candra Wijaya, Partha Wikardiyan, Aditya Wiraprathama, Alvin Yande Pramana Yustika Pradeva