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  1. Utama, D.N., Asrol, M., Suharjito, Harito, C., Napthaleni, Syafrudin, M. (2024) An Object Driven Fuzzy Decision Model for Sugarcane Yield Prediction in Indonesia’s Sugar Industry. In Proceedings of the 2024 7th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), IEEE: Yogyakarta, Indonesia, December 11 2024, pp. 684–688. DOI: 10.1109/ISRITI64779.2024.10963384 [Link]|[GoogleScholar]
  2. Asrol, M., Napthaleni, Utama, D.N., Suharjito, Harito, C., Syafrudin, M. (2024) A Hybrid Inference Engine to Predict Uncertain Sugar Content for Sugar Industry. Procedia Computer Science, 245, 480–489, https://doi.org/10.1016/j.procs.2024.10.274 [Link]|[GoogleScholar]
  3. Asrol, M., Wahyudi, S., Suharjito, Harito, C., Utama, D.N., Syafrudin, M. Improving Supplier Evaluation Model Using Ensemble Method-Machine Learning for Food Industry. Procedia Computer Science 2023, 227, 307–315, doi:10.1016/j.procs.2023.10.529. [Link]|[GoogleScholar]
  4. Asrol, M., Alamsjah, F., Olivia, M., Suharjito, Harito, C., Syafrudin, M. An Analysis and Design of Adaptive Assessment System for Manufacturing Industry 4.0 Implementation in Indonesia. E3S Web Conf. 2023, 426, 01012, [Link]|[GoogleScholar].
  5. Lee, A., Syafrudin, M., Gu, Y., Park, S., Kim, M., Lee, Y. A Personalized Restaurant Recommendation Based on Topic Modeling of Online Reviews. In Proceedings of the 2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) (3ICT2023), Bahrain, Bahrain, November 2023, p. 6., DOI:10.1109/3ICT60104.2023.10391550 [Link]|[GoogleScholar]
  6. Sugiantoro, B., Humam, A. I., Fitriyani, N. L., Alfian, G., Maarif, M. R., & Syafrudin, M. (2023). Utilizing Latent Dirichlet Allocation for Analyzing Topics in Undergraduate Theses. 2023 10th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 121–126, [Link]|[GoogleScholar]
  7. Syafrudin, M., Alfian, G., Fitriyani, N.L., Hadibarata, T., Rhee, J., Anshari, M. Future Glycemic Events Prediction Model Based On Artificial Neural Network. In Proceedings of the 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), IEEE: Sakheer, Bahrain, November 20 2022, pp. 151–155.[Link]|[GoogleScholar]
  8. Fitriyani, N. L., Syafrudin, M., Alfian, G., Yang, C. K., Rhee, J., & Ulyah, S. M. Chronic Disease Prediction Model Using Integration of DBSCAN, SMOTE-ENN, and Random Forest. In 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) (pp. 289-294). IEEE.[Link]|[GoogleScholar]
  9. Syafrudin, M., Alfian, G., Fitriyani, N. L., Fahrurrozi, I., Anshari, M., & Rhee, J. A Personalized Blood Glucose Prediction Model Using Random Forest Regression. In 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) (pp. 295-299). IEEE.[Link]|[GoogleScholar]
  10. Fitriyani, N. L., Syafrudin, M., & Alfian, G. Improving Accuracy of Machine Learning-Based Prediction Model for Heart Disease Classification Using Information Gain and DBSCAN. In KMIS International Conference (pp. 506-509).[Link]
  11. Syafrudin, M., Fitriyani, N. L., & Alfian, G. Forecasting Blood Glucose Using Extreme Gradient Boosting Regression Model. In KMIS International Conference (pp. 501-505).[Link]
  12. Fitriyani, N.L., Syafrudin, M., Alfian, G., Fatwanto, A., Qolbiyani, S.L., Rhee, J. Prediction Model for Type 2 Diabetes Using Stacked Ensemble Classifiers. In Proceedings of the 2020 International Conference on Decision Aid Sciences and Application (DASA), IEEE: Sakheer, Bahrain, November 8 2020, pp. 399–402.[Link]
  13. Syafrudin, M., Alfian, G., Fitriyani, N.L., Sidiq, A.H., Tjahjanto, T., Rhee, J. Improving Efficiency of Self-Care Classification Using PCA and Decision Tree Algorithm. In Proceedings of the 2020 International Conference on Decision Aid Sciences and Application (DASA), IEEE: Sakheer, Bahrain, November 8 2020, pp. 224–227.[Link]
  14. Alfian, G., Syafrudin, M., Fitriyani, N.L., Rhee, J., Ma’arif, M.R., Riadi, I. Traceability System Using IoT and Forecasting Model for Food Supply Chain. In Proceedings of the 2020 International Conference on Decision Aid Sciences and Application (DASA), IEEE: Sakheer, Bahrain, November 8 2020, pp. 903–907.[Link]
  15. Alfian, G., Syafrudin, M., Rhee, J., Anshari, M., Mustakim, M., Fahrurrozi, I. Blood Glucose Prediction Model for Type 1 Diabetes based on Extreme Gradient Boosting. IOP Conference Series: Materials Science and Engineering 2020, 803, 012012. [Link]
  16. Alfian, G., Syafrudin, M., Rhee, J., Stasa, P., Mulyanto, A., Fatwanto, A. In-store Customer Shopping Behavior Analysis by Utilizing RFID-enabled Shelf and Multilayer Perceptron Model. IOP Conference Series: Materials Science and Engineering 2020, 803, 012022. [Link]
  17. Alfian, G., Syafrudin, M., Jaeho, L., Rhee, J. Detecting Movement and Direction of Tags for RFID Gate. 2019 5th International Conference on Science and Technology (ICST). July 30–31. Yogyakarta, Indonesia [Link]
  18. Syafrudin, M., Lee, K., Alfian, G., Jaeho, L., Rhee, J. Application of Bluetooth Low Energy-Based Real-Time Location System for Indoor Environments. 2018 2nd International Conference on Big Data and Internet of Things. October 24 - 26. Beijing, China: ACM Digital Library. [Link]
  19. Alfian, G., Ijaz, M.F., Syafrudin, M., Jaeho, L., Rhee, J. A Low Cost IoT-based Traceability System for Perishable Food Supply Chain. The 2018 World Congress on Information Technology Applications and Services. February 20-22. Jeju, Korea: KIPS.
  20. Syafrudin, M., Lee, K., Fitriyani, N.L., Alfian, G., Rhee, J. Real time monitoring system based on IoT sensor data for assembly line process in the automotive factory. Korean Society of Manufacturing Technology Engineers Annual Autumn Conference 2017. December 6-8. Jeju, Korea: KSMTE. [Link]
  21. Syafrudin, M., Lee, K., Fitriyani, N.L., Alfian, G., Rhee, J. Development of Real-time Prediction System Based on Random Forest Algorithm in Smart Factory. Korea Business Intelligence Data Mining Society Fall Conference 2017. November 24-25. Busan, Korea: KDMS. [Link]
  22. Kang, Y.-S, Syafrudin, M., Fitriyani, N.L., Won, J., Lee, Y.-H., Rhee, J. Development of Distributed Processing System for Real-time Sensor Data : Injection Molding Process. Proceedings of Korean Society for Precision Engineering 2017 Spring Conference. May 17-19. Jeju, Korea: KSPE, 574-574. [Link]
  23. Fitriyani, N.L., Yang, C-K., Syafrudin, M. Real-time eye state detection system using haar cascade classifier and circular hough transform. 2016 IEEE 5th Global Conference on Consumer Electronics. October 11-14. Kyoto, Japan: IEEE. [Link]
  24. Syafrudin, M., Lee, Y.-H. A Quality Prediction as a Service for Manufacturing Small and Medium-sized Enterprises (SMEs). International Symposium on Green Manufacturing and Applications 2016. June 21-25. Bali, Indonesia: KSPE and ISGMA. [Link]