Penerapan Text Mining Dengan Menggunakan Metode TF-IDF Untuk Menentukan Genre Dari Komik

 (*)Windi Sri Utami Saragih Mail (Universitas Budi Darma, Medan, Indonesia)
 Nelly Astuti Hasibuan (Universitas Budi Darma, Medan, Indonesia)
 Rivalri Kristianto Hondro (Universitas Budi Darma, Medan, Indonesia)

(*) Corresponding Author

DOI: http://dx.doi.org/10.30865/komik.v4i1.2679

Abstract

Comics are literary works whose story descriptions are displayed in the form of pictures and in the story there is one character who is favored. The division of comics into genres is less effective, because the words represent inappropriate genres. Therefore we need a system that can determine the genre of a comic automatically due to the many genres of the comic. This study uses text mining and TF-IDF for the process of determining the comic genre. Text mining can be defined as the discovery of new information that was previously unknown to computers by extracting automatic information from different sources. Meanwhile, resource data is used as a reference in determining the comic genre. In this study, comics were divided into 4 categories: horror, inspirational, mystery and romantic. The text entered is in the form of title, author, and synopsis. This synopsis will be processed to produce a comic genre. The first process is the process of document preparation and document selection. Then proceed with the word weighting process using TF-IDF, then determining the genre of comics is done by comparing the similarity value between the text and a node in the resource data. The text obtained will be classified in an existing genre or node, if it has the highest similarity value in one of the nodes in the data resource. It is hoped that the system to be built is in accordance with the expectations of researchers, so that the system to be built can determine the genre of a comic.

Keywords: Classification, Comic, Text Mining, Resource Data, TFIDF

Full Text:

PDF


Article Metrics

Abstract view : 183 times
PDF - 24 times

References

P. Soepomo, “PENERAPAN TEXT MINING PADA SISTEM KLASIFIKASI,” vol. 2, pp. 73–83, 2014.

P. Dasar and P. Pengomposan, “UNIVERSITAS SUMATERA UTARA Medan,” pp. 22–41, 2014.

P. Dasar and P. Pengomposan, “Klasifikasi Dengan Metode TF-IDF,” pp. 22–41, 2014.

Mustajab.A, “Pensil Seni.” [Online]. Available: https://pensilseni.wordpress.com/2011/07/22/jenis-jenis-komik/.

Indrajani, Database Design (Case Study All in One). Jakarta: PT.Elex Media Komputindo, 2015.

Munawar, Simbol Diagram UML. 2007.

L. Bruno, “Pembuatan Sistem E-Agribusiness pada kelompok tani Ngudi Rahayu,” J. Chem. Inf. Model., vol. 53, no. 9, pp. 1689–1699, 2019.

A. Saputr, Membuat Aplikasi Absensi dan Kuesioner untuk panduan skripsi. Jakarta: PT.Elex Media Koputindo, 2012.

A. F. . Sibero, Web Programming Power Pack. Yogyakarta: Mediakom, 2013.

F. Mitfah, Fitur Dahsyat sublime text. Surabaya: STIKOM Surabaya, 2015.

D. Triyanto, I. Ruslianto, and J. S. Komputer, “Jurnal Coding , Sistem Komputer Untan Volume 03 , No 3 ( 2015 ), hal 13-24 ISSN : 2338-493x SISTEM MONITORING DAN PEMETAAN GARDU PLN BERBASIS Jurnal Coding , Sistem Komputer Untan Volume 03 , No 3 ( 2015 ), hal 13-24 ISSN : 2338-493x,” vol. 03, no. 3, 2015.

F. T. Industri et al., “DENGAN MENGGUNAKAN MYSQL DAN PHP4 Djoni Haryadi Setiabudi Alex Surya Rahardjo,” vol. 3, no. 2, pp. 88–95, 2002.

Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Penerapan Text Mining Dengan Menggunakan Metode TF-IDF Untuk Menentukan Genre Dari Komik

Refbacks

  • There are currently no refbacks.


Copyright (c) 2021 KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)




KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)
P3M STMIK Budi Darma
Sekretariat Jln. Sisingamangaraja No. 338 Telp 061-7875998
email: komik@univ-bd.ac.id, komik.budidarma@gmail.com

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.