Analisis Data Hasil Web Scraping untuk Menentukan Kualitas Jurnal Ilmiah

Abstract

Portal of Science Journal has many journals or scientific papers with many subjects. In other words, there are many searchable journals and it takes time to search and manage. Web Scraping is a process of taking some documents from a website to other needs. The result of web scraping is managed as csv file. For this study, web scraping data was taken from SINTA and SCIMAGOJR portals. Data file from web scraping is given to an application written in Python. The application is equipped with features to display and search paper data.