Information Retrieval System for Searching JSON Files with Vector Space Model Method

2019 ◽  
Author(s):  
Eko Wahyudi ◽  
Sfenrianto Sfenrianto ◽  
M. Jundi Hakim ◽  
Reko Subandi ◽  
Okky Robiana Sulaeman ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Vector Space ◽  
Retrieval System ◽  
Vector Space Model ◽  
Information Retrieval System ◽  
Space Model ◽  
Model Method

scholarly journals Information retrieval system in text-based skripsi document search file using vector space model method

2019 ◽  
Vol 1367 ◽  
pp. 012016 ◽  
Author(s):  
Mochammad Abdul Azis ◽  
Abdul Hamid ◽  
Ahmad Fauzi ◽  
Yudhistira ◽  
Eko Yulianto ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Vector Space ◽  
Retrieval System ◽  
Vector Space Model ◽  
Information Retrieval System ◽  
Space Model ◽  
Model Method ◽  
Document Search

scholarly journals SISTEM PENCARIAN LONTAR BERBASIS WEB DENGAN METODE VECTOR SPACE MODEL PADA DINAS KEBUDAYAAN PROVINSI BALI

2018 ◽  
Vol 5 (2) ◽  
pp. 239
Author(s):  
I Kadek Yuda Setiadi ◽  
Made Sudarma ◽  
Duman Care Khrisne
Keyword(s):  
Vector Space ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Retrieval System ◽  
Vector Space Model ◽  
Information Retrieval System ◽  
Search System ◽  
Space Model ◽  
Model Method ◽  
System Usability Scale

This study aims to assist in the search for lontar images with Information Retrieval System built using the Vector Space Model method. The search system testing resulted in a lontar search system that received recall values: 75.4% and precision: 100% based on the graph of the receiver operating characteristic (ROC) analysis. Testing with System Usability Scale (SUS) tested at the Bali Provincial Culture Office got the highest score on statement point 1, 5 and 7 which reached 42.

scholarly journals INFORMATION RETRIEVAL SYSTEM PADA FILE PENCARIAN DOKUMEN TESIS BERBASIS TEXT MENGGUNAKAN METODE VECTOR SPACE MODEL

2019 ◽  
Vol 15 (1) ◽  
pp. 41-46
Author(s):  
Ahmad Fauzi ◽  
Ginabila Ginabila
Keyword(s):  
Information Retrieval ◽  
Vector Space ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Search Process ◽  
Space Model ◽  
Model Method ◽  
Digital Documents ◽  
Correct Information ◽  
The Masses

Speed and density in the process of finding documents and information has become mandatory, contained in information systems, to facilitate the search process or find documents and information needed, it is called information retrieval or information retrieval system, implementation of the theory applied in this study using the model method vector space, the purpose of this study is to provide general exposure to the process of finding digital documents. With the token and indexing process so that the results of the masses are found in the database using keywords, so the system will search according to the keywords input into the system, and will be compared with the data contained in the database, so that it can produce the correct information.

scholarly journals Information Retrieval System in the Bible

2021 ◽  
Vol 7 (1) ◽  
pp. 111
Author(s):  
Apriandy Angdresey ◽  
Miguel Angelo Lamongi ◽  
Rinaldi Munir
Keyword(s):  
Information Retrieval ◽  
Vector Space ◽  
Retrieval System ◽  
Vector Space Model ◽  
Information Retrieval System ◽  
Space Model ◽  
Model Based ◽  
The Bible

Information retrieval is used to search for relevant documents so that they can be obtained quickly and precisely. There are many Christians who want to study the gospel. However, often experience problems in finding the Gospel verse and topics dealing with the need to search by the user. Therefore, have to search individually, each verse in the four Gospels to find the topic or verse that the user wants to find out. In this study, the authors used the Bible verses in the Gospels as documents, so that these verses could be searched for the level of relevance or similarity to the entered keywords. Furthermore, to determine the level of relevance between documents and keywords is calculated using the Vector Space Model. Based on the application that has been successfully built, the application can be show 10 documents related to the keywords that are searched and sorted from the most relevant, with the highest similarity value, namely 78.65%.Keywords - Information Retrieval, Vector Space Model, Bible.

scholarly journals PENERAPAN SISTEM TEMU KEMBALI INFORMASI PADA KUMPULAN DOKUMEN SKRIPSI

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Karter D. Putung ◽  
Arie S.M. Lumenta ◽  
Agustinus Jacobus
Keyword(s):  
Information Retrieval ◽  
Vector Space ◽  
Retrieval System ◽  
Vector Space Model ◽  
Information Retrieval System ◽  
Frequency Vector ◽  
Inverse Document Frequency ◽  
Space Model ◽  
Document Frequency

Abstrak - Sistem temu kembali informasi (information retrieval system)merupakan sistem yang digunakan untuk menemukan informasi yang relevan dengan kebutuhan dari penggunanya, dengan menerapkan sistem tersebut permasalahan pencarian informasi dokumen skripsi bisa memberikan hasil yang relevan sesuai kebutuhan pengguna. Terdapat dua proses utama dalam sistem temu kembali informasi yaitu indexing dan retrieval. Proses indexing adalah proses untuk memberikan bobot pada kata dalam dokumen, metode pembobotan pada penelitian ini menggunakan metode pembobotan TF-IDF. Prosesretrieval adalah proses untuk menghitung kemiripan query terhadap dokumen, perhitungan kemiripan menggunakan konsepvector space modeldengan mencari nilai cosine similarity.Tujuan dari penelitian ini adalah untuk mengembangkan dan mengimplementasikan pengindeksan otomatis untuk membangun sistem pencarian dokumen di dalam sebuah system penyimpanan dokumen dengan konsep temu-kembali informasi. Kata kunci : Information retrieval,Term Frequncy Inverse Document Frequency, Vector Space Model.

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