Skip To Main Content
Saiful Akbar on Muck Rack

Saiful Akbar

As seen in: Wiley Online Library, IEEE, International Journal of Technology, Kompasiana
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Saiful

Contact Saiful, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

[2601.15292] A Mobile Application Front-End for Presenting Explainable AI Results in Diabetes Risk Estimation

|
By Henry Anand Septian, Reynard Tanadi, Latifa Dwiyanti, Saiful Akbar
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (653) Issue with article?

Clustering Narrow-Domain Scientific Text Using Unsupervised and Similarity-Based Approaches

|
By Saiful Akbar, William Fu, Anindya Prameswari Ekaputri, Rahmah Khoirussyifa’ Nurdini
| International Journal of Technology Verified
International Journal of Technology (IJTech) Vol 16, No 5 (2025) Title: Clustering Narrow-Domain Scientific Text Using Unsupervised and Similarity-Based Approaches Authors Authors and Affiliations Saiful Akbar, Anindya Prameswari Ekaputri, William Fu, Rahmah Khoirussyifa’ Nurdini, Salman Ma’arif Achsien, Benhard Sitohang Corresponding email: saiful@itb.ac.id Published at : 22 Sep 2025 Volume : IJtech Vol 16, No 5 (2025) DOI : https://doi.org/10.14716/ijtech.v16i5.7110 Cite this article as:...
Open in Who Shared Issue with article?

Expert Profile Identification From Community Detection on Author-Publication-Keyword Graph With Keyword Extraction

|
By Saiful Akbar, William Fu
| IEEE
Scientific works are being published at an increasing rate [2] along with the growth of knowledge and technology improvements. To better understand the myriad collection of publications, Academic Social Networks (ASN) are used to represent the entities involved within a publication like authors, keywords, venues, etc. This representation is useful for scholarly mining tasks such as research interest discovery, expert recommender systems, and community detection [3].
Open in Who Shared Issue with article?
See all 6 articles