Dhomas Hatta Fudholi

Associate Professor
Head of the Undergraduate Program in Informatics, Universitas Islam Indonesia

Research interest:
Ontology, Data Science, Deep Learning, NLP, Big Data

Email: hatta.fudholi[at]uii.ac.id

Education:

Ph.D. | Doctor of Philosophy in Computer Science and Computer Engineering – La Trobe University, Australia

M.Eng. | Master of Engineering – King Mongkut’s Institute of Technology Ladkrabang, Thailand

S.T. | Sarjana Teknik – Universitas Gadjah Mada, Indonesia

Description

Dhomas Hatta Fudholi is an Assistant Professor at the Department of Informatics, Universitas Islam Indonesia. He earned his Ph.D. in Computer Science and IT in 2016 from La Trobe University, Melbourne, Australia with a full postgraduate scholarship from La Trobe University. Previously, he earned his Master’s degree from King Mongkut’s Institute of Technology Ladkrabang, Thailand, and his Bachelor’s degree from Universitas Gadjah Mada, Indonesia in 2008. His research interests are mainly related to ontology, data science, natural language processing, deep learning, and big data. He explores data science and deep learning methods to support knowledge base development and various useful applications. Outside of academia, he loves photography and cycling.

Selected publications

Fudholi, D. H., Rahayu, W., & Pardede, E. (2015). A data-driven dynamic ontology. Journal of Information Science, 41(3), 383–398. https://doi.org/10.1177/0165551515576478
Fudholi, D. H., Rani, S., Arifin, D. M., & Satyatama, M. R. (2021). Deep Learning-based Mobile Tourism Recommender System. Scientific Journal of Informatics, 8(1), 111–118. https://doi.org/10.15294/sji.v8i1.29262
Sahria, Y., & Dhomas Hatta Fudholi. (2020). Analysis of Health Research Topics in Indonesia Using the LDA (Latent Dirichlet Allocation) Topic Modeling Method. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 4(2), 336–344. https://doi.org/10.29207/resti.v4i2.1821
Fudholi, D. H., & Fikri, K. (2020). Towards an Effective Tuberculosis Surveillance in Indonesia through Google Trends. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 299–308. https://doi.org/10.22219/kinetik.v5i4.1114
Fudholi, D. H., & Juwairi, K. P. (2021). Classifying Medical Document in Bahasa Indonesia using Semi-Supervised Learning. IOP Conference Series: Materials Science and Engineering, 1077(1), 012015. https://doi.org/10.1088/1757-899x/1077/1/012015
Fudholi, D. H., Windiatmoko, Y., Afrianto, N., Susanto, P. E., Suyuti, M., Hidayatullah, A. F., & Rahmadi, R. (2021). Image Captioning with Attention for Smart Local Tourism using EfficientNet. IOP Conference Series: Materials Science and Engineering, 1077(1), 012038. https://doi.org/10.1088/1757-899x/1077/1/012038