Implementasi Algoritma Graf dan Algoritma Genetika pada Peringkasan Single Document

Main Article Content

Lina Dwi Yulianti
Setio Basuki
Yufis Azhar

Abstract

In today's technological advancements, finding information is easier and faster. But not a little information that is not true or commonly referred to as hoaxes. Therefore, information must be obtained from several sources to ensure the accuracy of the information. Automatic Text Summarization System is a system used for text based document summarization. This system can help find the core of a news document, so it does not require much time to read. Researchers use Graph Algorithms and Genetic Algorithms in system development. From the test results obtained by the accuracy of the system produced by the system with manual numbers have a cosine similarity value of 71.21%. This can prove that the system built can be used by users because the results of tests carried out get high accuracy values.

Downloads

Download data is not yet available.

Article Details

How to Cite
[1]
L. D. Yulianti, S. Basuki, and Y. Azhar, “Implementasi Algoritma Graf dan Algoritma Genetika pada Peringkasan Single Document”, JR, vol. 2, no. 11, Jan. 2024.
Section
Articles

References

P. M. Berita, “Ekstraksi trending issue dengan pendekatan distribusi kata pada pembobotan term untuk peringkasan multi-dokumen berita,” vol. 14, pp. 180–189, 2016.

R. Azhar et al., “PEMBOBOTAN KATA BERDASARKAN KLASTER PADA OPTIMISASI COVERAGE , DIVERSITY DAN COHERENCE,” vol. II, no. 3, pp. 170–178, 2016.

B. Indonesia, A. Genetika, and D. A. N. A. Genetika, “Implementasi Automated Text Summarization untuk Dokumen Tunggal IMPLEMENTASI AUTOMATED TEXT SUMMARIZATION UNTUK DOKUMEN TUNGGAL BERBAHASA INDONESIA DENGAN MENGGUNAKAN GRAPH-BASED,” no. July, 2014.

D. A. Prabowo, M. Fhadli, M. A. Najib, and H. A. Fauzi, “TF-IDF- ENHANCED GENETIC ALGORITHM UNTUK EXTRACTIVE AUTOMATIC TEXT SUMMARIZATION,” vol. 3, no. 3, pp. 208–215, 2016.

P. M. Prihatini, “PERANCANGAN SUBSISTEM PENGOLAHAN PERTANYAAN UNTUK,” vol. 16, no. 1, pp. 53–57, 2016.

S. Program and P. K. Malang, “Improving Multi-Document Summary Method Based on Sentence Distribution,” vol. 14, no. 1, pp. 286–293, 2016.

V. Qazvinian and L. S. Hassanabadi, “Summarizing Text with a Genetic Algorithm-Based Sentence Extraction,” pp. 1–10, 1997.

“INDONESIAN_TEXT_DOCUMENT_SUMMARIZATION_M.” .

P. K. Praktek, T. Akhir, and D. A. N. Skripsi, “PENGUNAAN METODE COSINESIMILARITY PADA SISTEM.”

Z. Zukhri, Algoritma Genetika, 1st ed. Yogyakarta: Andi Offset, 2014.

Fadlisyah, Arnawan, and Faisal, Algoritma Genetika, 1st ed. Yogyakarta: Graha Ilmu, 2009.

I. W. A. Setyadi, D. C. Khrisne, and I. M. A. Suyadnya, “Automatic Text Summarization Menggunakan Metode Graph dan Ant Colony Optimization,” vol. 17, no. 1, pp. 124–130, 2018.

Most read articles by the same author(s)

<< < 2 3 4 5 6 7