scholarly journals Implementation of Vector Space Model in Online Jobs Vacancy Aggregator

2018 ◽  
Vol 7 (3.20) ◽  
pp. 385
Author(s):  
Tjut Awaliyah Zuraiyah ◽  
Fajar D Elli Wihartiko ◽  
Edwin Effendi
Keyword(s):  
Information Technology ◽  
Vector Space ◽  
Vector Space Model ◽  
Model Data ◽  
Space Model ◽  
Model Method ◽  
Web Scraping ◽  
Job Vacancy

Job vacancy aggregator is a system that facilitates users in finding the desired job vacancy, especially in the field of information technology. Job vacancy data collected from various job sites such as http://id.jobsdb.com, http://www.jobs.id, http://www.monster.co.id and http://www.jobstreet.co.id using web scraping techniques to extract job vacancy data that is stored in the HTML structure. The collected data is then processed to facilitate the retrieval concept by vector space model method, by using vector space model data which is found to be sorted based on the similarity level between the query which is typed by the user with the job vacancy data is stored in the database. In addition system can also perform email jobs sent via email to registered users. With the development of an online job vacancy aggregator, it can be used as a media job vacancy information, especially in the field of information technology (IT).  

Aplikasi Deteksi Kemiripan Tugas Paper

2017 ◽  
Vol 15 (2) ◽  
pp. 5
Author(s):  
Anthony Anggrawan ◽  
Azhari
Keyword(s):  
Information Retrieval ◽  
Vector Space ◽  
Vector Space Model ◽  
Mean Average Precision ◽  
Average Precision ◽  
Information Searching ◽  
Space Model ◽  
Model Method

Information searching based on users’ query, which is hopefully able to find the documents based on users’ need, is known as Information Retrieval. This research uses Vector Space Model method in determining the similarity percentage of each student’s assignment. This research uses PHP programming and MySQL database. The finding is represented by ranking the similarity of document with query, with mean average precision value of 0,874. It shows how accurate the application with the examination done by the experts, which is gained from the evaluation with 5 queries that is compared to 25 samples of documents. If the number of counted assignments has higher similarity, thus the process of similarity counting needs more time, it depends on the assignment’s number which is submitted.

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 IMPLEMENTATION OF GENERALIZED VECTOR SPACE MODEL METHOD AT AUTOMATIC ASSESSMENT OF ONLINE ESSAY EXAM

2018 ◽  
Vol 1 (2) ◽  
pp. 43
Author(s):  
Muhammad Arafah
Keyword(s):  
Vector Space ◽  
Vector Space Model ◽  
Automatic Testing ◽  
Automatic Assessment ◽  
Literature Study ◽  
Weighting Method ◽  
Space Model ◽  
Model Method ◽  
Similarity Calculation ◽  
Automatic Scoring

The aim of the study was to design and implement automatic testing of online essay examinations using the Generalized Vector Space Model (GVSM) method. This data is obtained through (1) Literature Study (2) Observation (3) Documentation. The results of this study indicate that the automatic scoring system with the GVSM weighting method and the cosine similarity similarity calculation method have the accuracy of the assessment with an average of 66%.

scholarly journals Temu Kembali Informasi pada Soal Ujian dengan Rencana Pembelajaran Menggunakan Vector Space Model

2021 ◽  
Vol 5 (1) ◽  
pp. 63-68
Author(s):  
Amalia Beladinna Arifa ◽  
Gita Fadila Fitriana ◽  
Ananda Rifkiy Hasan
Keyword(s):  
Information Retrieval ◽  
Vector Space ◽  
Vector Space Model ◽  
Space Model ◽  
Learning Plan ◽  
Model Method ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Calculation Results ◽  
The Subject

One way to find out the quality of exam questions is by looking at the rules for writing exam questions made based on the subject or discussion contained in the learning plan document. Therefore, the exam questions that are arranged must be adjusted to the main material in each subject learning achievement. This study discusses the implementation of the concept in information retrieval systems using the Vector Space Model method. The Vector Space Model method has an advantage in query matching because it is able to match only part of the query with existing documents. In addition, the Vector Space Model method is also easy to adapt by adjusting parameters, including weighting parameters. The weighting calculation for each term that appears in the document uses TF-IDF. The purpose of this study is to design an information retrieval system to find the suitability of the exam question query with the subject contained in the learning plan document. The suitability is sorted based on the similarity value of the calculation results, from the largest value to the smallest value in the form of a percentage.

A Search Of File Journal With Query Word on List of Journal Document List Using VectorSpace Model Method

2020 ◽  
Vol 9 (1) ◽  
pp. 97
Author(s):  
Maula Khatami
Keyword(s):  
Vector Space ◽  
Suffix Tree ◽  
Vector Space Model ◽  
Inverse Document Frequency ◽  
Space Model ◽  
Model Method ◽  
Document Frequency ◽  
New Knowledge ◽  
Query Word ◽  
The Right

Journals are articles about research that are very useful among academics and students alike. Every time we learn a new knowledge, we certainly need a guide that is verified and also credible. Students and academics were greatly helped by this journal. With journals help students and academics get references from previous research and get more insights so that they are able to make a related research and can even be improved from previous research. However, there are still many students and academics who find it difficult to find the right journal for their needs. So here the authors make a research system of information retrieval about journal searches by querying words using the vector space model method. In the suffix tree clustering method and the Vector Space Model, each document and keyword that has been carried out by the Text Mining process is then given the weight of each word contained in each existing document with the Term Frequency - Inverse Document Frequency (TF-IDF) weighting algorithm. 

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
Sign in / Sign up

Export Citation Format

Share Document