This project is an extension for my undergraduate thesis research. In that thesis I highlight the lack of quantitative quality measurement, commonly using bibliometrics, for scientific publications published in Indonesia, which is indexed at Garba Rujukan Digital or GARUDA. The long-term goal is to measure national research and development, as scientific publication is one of the research products.

In the original research I compiled over 20,000 scientific articles, recording over 1M bibliometric records and connecting them between articles as a recursive many-to-many relationship representing citation. Meanwhile I process each article abstract for multi-label classification. Using the classification and citation data, I calculate various metrics such as FWCI.

I continue that project by adopting the database created into a web app dashboard inspired from Scopus. Here users can search scientific articles, journals, and authors, while examining the patterns and metrics calculated as a dashboard. For the tech stack I use native PHP and MySQL for the backend API, then native JavaScript, HTML, and CSS for the frontend.