Faizhal Arif S.

Yogyakarta, Indonesia

55281

As a librarian, I am deeply committed to enhancing library services by integrating technology and contributing to the library science field through my research publications on the application of data science in libraries. My aim is helped to broaden the knowledge base of the library community and provide valuable insights into the use of data-driven approaches to enhance library services.

I constantly seek new ideas and opportunities to collaborate with like-minded professionals to create better solutions for our patrons. I believe that through active engagement and knowledge sharing, we can collectively advance the field of library science and serve our communities better.

Should you have any inquiries pertaining to my research or wish to explore potential collaboration, please do not hesitate to contact me at your convenience.

news

Jun 22, 2025	We’re working to release a new version of Coconut Libtool 🌴
May 21, 2025	I’ll be giving a speech about systematic literature review at Universitas YARSI.
Mar 22, 2025	I have an opportunity to share our work for undergraduate students at the University of Oklahoma.

selected publications

Proc. Assoc. Inf. Sci. Technol.

Coconut Libtool: Bridging Textual Analysis Gaps for Non‐Programmers

Faizhal Arif Santosa, Manika Lamba, Crissandra George, and 1 more author

Proceedings of the Association for Information Science and Technology, Oct 2024

Abs DOI arXiv Supp Poster Website

In the era of big and ubiquitous data, professionals and students alike are finding themselves needing to perform a number of textual analysis tasks. Historically, the general lack of statistical expertise and programming skills has stopped many with humanities or social sciences backgrounds from performing and fully benefiting from such analyses. Thus, we introduce Coconut Libtool (www.coconut-libtool.com/), an open-source, web-based application that utilizes state-of-the-art natural language processing (NLP) technologies. Coconut Libtool analyzes text data from customized files and bibliographic databases such as Web of Science, Scopus, and Lens. Users can verify which functions can be performed with the data they have. Coconut Libtool deploys multiple algorithmic NLP techniques at the backend, including topic modeling (LDA, Biterm, and BERTopic algorithms), network graph visualization, keyword lemmatization, and sunburst visualization. Coconut Libtool is the people-first web application designed to be used by professionals, researchers, and students in the information sciences, digital humanities, and computational social sciences domains to promote transparency, reproducibility, accessibility, reciprocity, and responsibility in research practices.