Assoc Prof. Dr. Farhad Nadi

Assoc Prof. Dr. Farhad Nadi

Head

Biography

Dr. Farhad Nadi is an Assciate Professor in Computer Science. His work explores data science, optimization, and IoT.

Research Interests

Data Science Optimization IoT

Selected Publications

Rahmat, R. F., Aziira, A. H., Purnamawati, S., Pane, Y. M., Faza, S., Nadi, F., & Others. (2023). Classifying Indonesian Cyber Crime Cases under ITE Law Using a Hybrid of Mutual Information and Support Vector Machine. International Journal of Safety & Security Engineering, 13(5).
Anugrahwaty, S., Lady, G. D., & Nadi, F. (2024). AUTOMATIC GENERATION OF MULTIPLE-CHOICE QUESTIONS USING TEMPLATE-BASED SEMANTIC WEB IN INDONESIAN LANGUAGE. Journal of Theoretical and Applied Information Technology, 102(2).
Hizriadi, A., Nadi, F., Lubis, F., Rahmat, R. F., & Others. (2023). Dust Particle Matter (2.5) with Meteorological Parameters to Predict Air Quality Based on Support Vector Machine Approaches. 2023 7th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM), 74–78. IEEE.
{"Nadi, F., Naghavipour, H., Mehmood, T., Azman, A. B., Nagantheran, J. A., Ting, K. S. K., … Rahmat, R. F. (2023). Sentiment analysis using large language models" => "A case study of GPT-3.5. The International Conference on Data Science and Emerging Technologies, 161–168. Springer Nature Singapore Singapore."}
Nababan, A. M., Nasution, U. R. P., Pandiangan, T. D., Nadi, F., Budiarto, R., Rahmat, R. F., & Others. (2024). Extreme learning machine approach on heart abnormalities identification in ECG images. International Journal of Electronics and Telecommunications, 70.
Rahmat, R. F., Purnamawati, S., Mardianto, W., Faza, S., Sulaiman, R., Nadi, F., & Lubis, A. R. (2024). Braille letter recognition in deep convolutional neural network with horizontal and vertical projection. Bulletin of Electrical Engineering and Informatics, 13(5), 3380–3391.
Faza, S., Rahmat, R. F., Husna, M., Padly, A., Sembiring, A. S., & Nadi, F. (2024). IDENTIFICATION OF PAPAYA VARIETIES IN COMPUTER VISION AND DEEP LEARNING APPROACHES. Journal of Theoretical and Applied Information Technology, 102(16).
{"Shahidi Hamedani, S., Aboudahr, S., Nadi, F., Binti Abdul Rahman, S. Y., & Naghavipour, H. (2024). Artificial Intelligence and Empowerment of People with Disabilities in Society 5.0" => "Trends and Insights from a Bibliometric Analysis. Journal of Information Technology Management, 16(4), 142–161."}
Nadi, F., Hossain, S., Rahmat, R. F., Kasan, N. A., Ikhwanuddin, M., & Rastegari, H. (2024). Detection of ammonia in aquaculture wastewater using mango leaf extract-immobilized paper sensors and smartphone colorimetric analysis. Microchemical Journal, 207, 112257.
{"Rastegari, H., Rahmat, R. F., & Nadi, F. (2024). A Machine Learning Approach to pH Monitoring" => "Mango Leaf Colorimetry in Aquaculture. International Journal of Advanced Computer Science & Applications, 15(11)."}