Author:
Andayani U,Arisandi D,Hasugian Misbah,Syahputra M F,Siregar B
Abstract
Abstract
The need for the documents in the form of journals or scientific articles is currently increasing which means the need of documents available also increasing, in another side it makes difficult to find and present journals. Therefore, a method is needed to classify journals automatically according to the categories of the journal. One method that can help organize documents according to their categories is classification. In this study, Rocchio algorithm is used as a method to classify journals. The data used comes from Google Scholar. Journal consists of 4 (four) categories: Computer Vision and Pattern Recognition, Artificial Intelligent, Data Mining and Analysis, and Computer System. System testing is carried out by taking 160 journals for training data and 48 journals for testing data. The results of this study produced a web-based journal classification system and showed the method used was able to classify journals with accuracy result is 93%.
Subject
General Physics and Astronomy
Reference10 articles.
1. Focused crawler for the acquisition of health articles;Amalia,2016
2. Improving Data Collection on Article Clustering by Using Distributed Focused Crawler;Gunawan;J. Computing and Applied Informatics (JoCAI),2017
3. Clustering articles in bahasa indonesia using self-organizing map;Gunawan,2017
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