Application of the Cosine Similarity Method in the Retrieval Information System for Searching Translations of the Holy Qur'an

##plugins.themes.bootstrap3.article.sidebar##

Artikel (Bahasa Indonesia)
Published Dec 24, 2023
DOI : https://doi.org/10.32664/j-intech.v11i2.1020
  • Halaman : 325-335
  • Abstract views : 114
  • PDF views : 102

##plugins.themes.bootstrap3.article.main##

Evy Poerbaningtyas
Sekolah Tinggi Informatika & Komputer Indonesia, Program Studi Informatika, Jalan Tidar 100, Kota Malang
Rakhmad Maulidi
Sekolah Tinggi Informatika & Komputer Indonesia, Program Studi Informatika, Jalan Tidar 100, Kota Malang

Abstract

Ayat is a sentence in the Qur'an, the verse is known as tauqifi (with the nash of the Messenger of Allah saw.), not qiasi (analogy). Since it counts (Alif Lam Mim) and (Alif Lam Mim Shod Nun) each as one verse but does not count (Alif Lam Mim) and (Kha Mim), (Alif Lam Mim Ra) and (Ya Syin) each count as one verse, but not so with (Tho Syin Mim), Ayat (Madahaa Mannaan) is one word,  according to the agreement, invalid prayer by reading only half of the verse. In a verse some words make up a sentence, so to search for a desired sentence you have to look up 1 by 1 in the verse. Because the guidance of the life of Muslims is the holy book of the Qur'an, in which there are several letters and in the letter there are verses. From these conditions, in this study, a verse search engine was created to facilitate the search process using the cosine similarity method.  The purpose of  this study is to  be able to help the search process quickly and easily, readers in the search for verses in the holy book of the Qur'an .

##plugins.themes.bootstrap3.article.details##

Issue
Vol 11 No 2 (2023): J-Intech : Journal of Information and Technology
Section
Articles
Copyright (c) 2023 J-INTECH ( Journal of Information and Technology)
References
Adiyanto, A. T., & Handayani, D. (2022). Information Retrieval Sistem Kearsipan Pencarian Dokumen Di Dinas Pemberdayaan Perempuan Dan Perlindungan Anak Kota Semarang Menggunakan Metode Vector Space Model. Jurnal Mahajana Informasi, 7(1).
Agustian, S., & Sucipto, A. (2021). Source Retrieval pada Deteksi Plagiarisme Berdasarkan Biword Fingerprint dengan Model Ruang Vektor. Seminar Nasional Teknologi Informasi Komunikasi dan Industri(SNTIKI 2020). Pekanbaru.
Anand, A., Sharma, U., & Kumar, D. (2020). Information Retrieval in Computing Model. 2019 International Conference on Intelligent Computing and Control Systems (ICCS). Madurai. doi:10.1109/ICCS45141.2019.9065562
Calafato, R. (2020). Learning Arabic in Scandinavia: Motivation, metacognition, and autonomy. Lingua, 246.
Chanda, S., & Pal, S. (2023). The Effect of Stopword Removal on Information Retrievalfor CodeMixed Data Obtained Via Social Media. Springer Nature Computer Science, 4. doi:https://doi.org/10.1007/s42979-023-01942-7
Davison, S., Avgil, D., Li, Y., & Yang, S. (2022). A Semi-automatic Indexing Pipeline for Medical Document Retrieval in Resource-constrained Settings. Twenty-eighth Americas Conference on Information Systems. Minneapolis.
Nugroho, S. A., Bachtiar, F. A., & Wihandika, R. C. (2022). ASPECT EXTRACTION IN E-COMMERCE USING LATENT DIRICHLET ALLOCATION (LDA) WITH TERM FREQUENCY-INVERSE DOCUMENT FREQUENCY (TF-IDF). Jurnal Ilmiah Kursor, 11(2).
Rakholia, R., & Saini, J. R. (2017). Information Retrieval for Gujarati Language Using Cosine Similarity Based Vector Space Model. Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications.
Rasyid, I., Yudianto, M. R., Maimunah, & Purnomo, T. A. (2023). Electronic Product Recommendation System Using the Cosine Similarity Algorithm and VGG-16. Sinkron: Jurnal & Penelitian Teknik Informatika, 8(4).
Rinandyaswara, R., Sari, Y. A., & Furqon, M. T. (2022). Pembentukan Daftar Stopword Menggunakan Term Based Random Sampling Pada Analisis Sentimen Dengan Metode Naïve Bayes (Studi Kasus: Kuliah Daring Di Masa Pandemi). Jurnal Teknologi Informasi dan Ilmu Komputer, 9(4).
Sa’diyah, H., & Abdurahman, M. (2021). Pembelajaran Bahasa Arab di Indonesia: PenelitianTerhadap Motivasi Belajar Bahasa Asing. Lisanan Arabiya : Jurnal Pendidikan Bahasa Arab, 5(1).
Suzanti , I. O., Husni, H., Awaldhia , B. S., & Syarief, M. (2023). Design and Implementation of Tourism News Information Retrieval System using Modified Cosine Similarity. Technium: Romanian Journal of Applied Sciences and Technology, 16(1).
Suzanti, I. O., & Jauhari, A. (2021). COMPARISON OF STEMMING AND SIMILARITY ALGORITHMS IN INDONESIAN TRANSLATED AL-QUR'AN TEXT SEARCH. Jurnal Ilmiah Kursor, 11(2).
Wahyudi, Akbar, F., & Suryamen, H. (2020). Perancangan Sistem Pemeriksaan Ujian Essay Menggunakan Sistem TemuKembali Informasi Model Ruang Vektor. Jurnal Nasional Teknologi dan Sistem Informasi, 6(3), 140.
Yulianto, B., Budiharto, W., & Kartowisastro, I. H. (2017). The Performance of Boolean Retrieval and Vector Space Model in Textual Information Retrieval. COMMIT (COMMUNICATION AND INFORMATION TECHNOLOGY) JOURNAL, 11(1).