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All Journal International Journal of Electrical and Computer Engineering TELKOMNIKA (Telecommunication Computing Electronics and Control) Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika JISA (Jurnal Informatika dan Sains) Indonesian Journal of Electrical Engineering and Computer Science International Journal of Islamic Khazanah Gunung Djati Conference Series
Dian Sa’adillah Maylawati
Department Of Informatics, UIN Sunan Gunung Djati Bandung
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Journal : Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika

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Combination of Graph-based Approach and Sequential Pattern Mining for Extractive Text Summarization with Indonesian Language Dian Sa'adillah Maylawati; Yogan Jaya Kumar; Fauziah Binti Kasmin
Khazanah Informatika Vol. 9 No. 2 October 2023
Publisher : Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v9i2.21495

Abstract

The great challenge in Indonesian automatic text summarization research is producing readable summaries. The quality of text summary can be reached if the meaning of the text can be maintained properly. As a result, the purpose of this study is to improve the quality of extractive Indonesian automatic text summarization by taking into account the quality of structured text representation. This study employs Sequential Pattern Mining (SPM) to generate a sequence of words as a structured representation of text and a graph-based approach to generate automatic text summarization. The SPM algorithm used is PrefixSpan, and the graph-based approach uses the Bellman-Ford algorithm. The results of an experiment using the IndoSum dataset show that combining SPM and Bellman-Ford can improve the precision, recall, and f-measure of ROUGE-1, ROUGE-2, and ROUGE-L. When Bellman-Ford is combined with SPM, the F-measure of ROUGE-1 increases from 0.2299 to 0.3342. The ROUGE-2 f-measure increases from 0.1342 to 0.2191, and the ROUGE-L f-measure increases from 0.1904 to 0.2878. This result demonstrates that SPM can improve the performance of the Bellman-Ford algorithm in producing Indonesian text summaries.
Co-Authors Achmad Kholiq Adi Putra Andriyandi Ali, Hapid Cepy Slamet Fauziah Binti Kasmin Ghifari Munawar Hamdan Sugilar Imam Fahmi Fadillah Melani Nur Mudyawati Muhammad Ali Ramdhani Muhammad Humam Wahisyam Riki Ahmad Maulana Septya Egho Pratama Siah Khosyi'ah Suharjanto Utomo Teddy Mantoro Tedi Priatna Tju, Teja Endra Eng Wahyudin Darmalaksana Wildan Budiawan Zulfikar Yogan Jaya Kumar