Muhammad Syafrudin

Technology Enthusiast

Publications

Journal Articles

  1. Alfian, G.; Ijaz, M.F.; Syafrudin, M.; Syaekhoni, M.A.; Fitriyani, N.L.; Rhee, J. Customer Behavior Analysis using Real-time Data Processing: A Case Study of Digital Signage-based Online Stores. Accepted in Asia Pacific Journal of Marketing and Logistics on 28 September 2018.
  2. Syafrudin, M.; Alfian, G.; Fitriyani, N.L.; Rhee, J. Performance Analysis of IoT-Based Sensor, Big Data Processing, and Machine Learning Model for Real-Time Monitoring System in Automotive Manufacturing. Sensors 2018, 18, 2946. [Link]
  3. Ijaz, M.F.; Alfian, G.; Syafrudin, M.; Rhee, J. Hybrid Prediction Model for Type 2 Diabetes and Hypertension Using DBSCAN-Based Outlier Detection, Synthetic Minority Over Sampling Technique (SMOTE), and Random Forest. Appl. Sci. 2018, 8, 1325. [Link]
  4. Alfian, G.; Syafrudin, M.; Ijaz, M.F.; Syaekhoni, M.A.; Fitriyani, N.L.; Rhee, J. A Personalized Healthcare Monitoring System for Diabetic Patients by Utilizing BLE-Based Sensors and Real-Time Data Processing. Sensors 2018, 18, 2183. [Link]
  5. Syafrudin, M.; Fitriyani, N.L.; Li, D.; Alfian, G.; Rhee, J.; Kang, Y.-S. An Open Source-Based Real-Time Data Processing Architecture Framework for Manufacturing Sustainability. Sustainability 2017, 9, 2139. [Link]
  6. Alfian, G.; Syafrudin, M.; Rhee, J. Real-Time Monitoring System Using Smartphone-Based Sensors and NoSQL Database for Perishable Supply Chain. Sustainability 2017, 9, 2073. [Link]
  7. Alfian, G.; Rhee, J.; Ijaz, M.F.; Syafrudin, M.; Fitriyani, N.L. Performance Analysis of a Forecasting Relocation Model for One-Way Carsharing. Appl. Sci. 2017, 7, 598. [Link]

Conference Proceedings and Abstracts

  1. 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]

  2. 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. [Link]

  3. 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]
  4. 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]
  5. 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]
  6. Fitriyani, N.L.; Syafrudin, M.; Yang, C-K. 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]
  7. 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]

Last updated on 06 December 2018