OPTIMASI MESIN PENCARI BUKU FIKSI BERDASARKAN PADA SEMANTIK IMPRESI

Authors

  • Varidh Bimantara Politeknik Elektronika Negeri Surabaya
  • Rengga Asmara Politeknik Elektronika Negeri Surabaya
  • Nur Rasyid Mubtada’i Politeknik Elektronika Negeri Surabaya

DOI:

https://doi.org/10.46880/mtk.v5i1.415

Keywords:

Fiction, impression, mining text, cosine similarity

Abstract

Fiction books are one of the most popular books in Indonesia. There are five most popular genres in fiction books, namely fantasy, mystery, romance, sci-fi, and thriller. Each genre gives a different impression and its own fans for the reader. It is common practice when people choose fiction books based on the title, author, or publisher of the book. However, this does not provide precise search results. In this final project, an application system was developed to find out fiction books based on the semantic impressions contained on the cover of the fiction book. The impression on each book cover is obtained through a survey of fiction book lovers in Indonesia. To get the results of the proximity between the user search and the impression survey data obtained through text mining, as well as the cosine similarity algorithm to calculate the most precise proximity value to the impression expected by the user. The results of this system display fiction books that have the most precise proximity value to the impression expected by the user.

References

Aditya Jaya Iswara, “Jenis Buku Apa yang Paling Laris di Indonesia” 8 Juni 2019.

Tess Adam, “Judging a Book By Its Cover: Are First Impressions Accurate?” Spring 2012, Boulder AS, University of Colorado Boulder, 2012.

Assist. Prof. Dr. Aslı Sezgin, “The First Impression of "Best Selling" Agenda Books: Semiotic Analysis of Book Covers”, Osmaniye Turkey, Osmaniye Korkut Ata University, 2014.

Javier Zebua, “Aplikasi Pencarian Buku Berbasis Web Semantik Untuk Perpustakaan Smk Yadika 7 Bogor”, Universitas Gunadarma, 2012.

Siti Khoctitah, “Aplikasi Pencarian Buku Berbasis Web Semantik Untuk Perpustakaan Universitas Muham madiyah Yogyakarta”, Universitas Muhammadiyah Yogyakarta, 2015.

A.B. Mutiara, “Semantic-Web-Based Searching Application For Doctors Schedule And Facilities In Hospital”, Universitas Gunadarma, 2014.

Rizki Tri Wahyuni, “Penerapan Algoritma Cosine Similarity dan Pembobotan TF-IDF pada Sistem Klasifikasi Dokumen Skripsi”, Universitas Negeri Semarang, 2017.

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Published

10-03-2019

How to Cite

[1]
V. Bimantara, Rengga Asmara, and Nur Rasyid Mubtada’i, “OPTIMASI MESIN PENCARI BUKU FIKSI BERDASARKAN PADA SEMANTIK IMPRESI”, METHODIKA, vol. 5, no. 1, pp. 30–33, Mar. 2019.

Issue

Vol. 5 No. 1 (2019): Maret 2019

Section

Articles

License

Copyright (c) 2019 Methodika

Creative Commons License

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