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Publications

The output of our research and projects has been presented and published in many outlets, including local and international conferences as well as reputable international peer-reviewed journals. For a comprehensive and up-to-date list of publications, please refer to the following links.

Links: [WebofScience] - [Scopus] - [GoogleScholar]

Note: J = journal, C = conference, B = book/chapter, and * = corresponding author.

[J] Journal Articles

  1. Maarif, M.R., Syafrudin, M.*, Fitriyani, N.L. (2024) Uncovering Sustainability Insights from Amazon’s Eco-Friendly Product Reviews for Design Optimization. Sustainability 2024, 16, 172, https://doi.org/10.3390/su16010172 [Link]|[GoogleScholar]
  2. Alfian, G., Octava, M.Q.H., Hilmy, F.M., Nurhaliza, R.A., Saputra, Y.M., Putri, D.G.P., Syahrian, F., Fitriyani, N.L., Atmaji, F.T.D., Farooq, U., ... , Syafrudin, M.* (2023) Customer Shopping Behavior Analysis Using RFID and Machine Learning Models. Information 2023, 14, 551. https://doi.org/10.3390/info14100551, [Link]|[GoogleScholar]
  3. Nasir, I.M., Raza, M., Ulyah, S.M., Shah, J.H., Fitriyani, N.L., Syafrudin, M.* (2023) ENGA: Elastic Net-Based Genetic Algorithm for Human Action Recognition. Expert Systems with Applications, 227, 120311, doi:10.1016/j.eswa.2023.120311, [Link]|[GoogleScholar]
  4. Ramaha, N.T.A., Mahmood, R.M., Hameed, A.A., Fitriyani, N.L., Alfian, G., Syafrudin, M.* (2023) Brain Pathology Classification of MR Images Using Machine Learning Techniques. Computers, 12, 167, doi:10.3390/computers12080167, [Link]|[GoogleScholar]
  5. Isia, I., Hadibarata, T., Jusoh, M.N.H., Bhattacharjya, R.K., Shahedan, N.F., Fitriyani, N.L., Syafrudin, M.* (2023) Identifying Factors to Develop and Validate Social Vulnerability to Floods in Malaysia: A Systematic Review Study. Sustainability, 15, 12729, doi:10.3390/su151712729, [Link]|[GoogleScholar]
  6. Fitriyani, N.L., Syafrudin, M.*, Ulyah, S.M., Alfian, G., Qolbiyani, S.L., Yang, C.-K., Rhee, J., Anshari, M. (2023) Performance Analysis and Assessment of Type 2 Diabetes Screening Scores in Patients with Non-Alcoholic Fatty Liver Disease. Mathematics, 11, 2266, doi:10.3390/math11102266, [Link]|[GoogleScholar]
  7. Maarif, M.R., Saleh, A.R., Habibi, M., Fitriyani, N.L., Syafrudin, M.* (2023) Energy Usage Forecasting Model Based on Long Short-Term Memory (LSTM) and EXplainable Artificial Intelligence (XAI). Information, 14, 265, doi:10.3390/info14050265, [Link]|[GoogleScholar]
  8. Alfian, G., Syafrudin, M.*, Fitriyani, N.L., Alam, S., Pratomo, D.N., Subekti, L., Octava, M.Q.H., Yulianingsih, N.D., Atmaji, F.T.D., Benes, F. (2023) Utilizing Random Forest with IForest-Based Outlier Detection and SMOTE to Detect Movement and Direction of RFID Tags. Future Internet, 15, 103, doi:10.3390/fi15030103, [Link]|[GoogleScholar]
  9. Anshari, M., Syafrudin, M.*, Tan, A., Fitriyani, N.L., Alas, Y. (2023) Optimisation of Knowledge Management (KM) with Machine Learning (ML) Enabled. Information, 14, 35, doi:10.3390/info14010035, [Link]|[GoogleScholar]
  10. Al-Dulaimi, A.A., Guneser, M.T., Hameed, A.A., Márquez, F.P.G., Fitriyani, N.L., Syafrudin, M.* (2023) Performance Analysis of Classification and Detection for PV Panel Motion Blur Images Based on Deblurring and Deep Learning Techniques. Sustainability, 15, 1150, doi:10.3390/su15021150, [Link]|[GoogleScholar]
  11. Zhao, W., Syafrudin, M.*, Fitriyani, N.L. (2023) CRAS-YOLO: A Novel Multi-Category Vessel Detection and Classification Model Based on YOLOv5s Algorithm. IEEE Access, 11, 11463–11478, doi:10.1109/ACCESS.2023.3241630, [Link]|[GoogleScholar]
  12. Isia, I., Hadibarata, T., Jusoh, M.N.H., Bhattacharjya, R.K., Shahedan, N.F., Bouaissi, A., Fitriyani, N.L., Syafrudin, M.* (2023) Drought Analysis Based on Standardized Precipitation Evapotranspiration Index and Standardized Precipitation Index in Sarawak, Malaysia. Sustainability, 15, 734, doi:10.3390/su15010734, [Link]|[GoogleScholar]
  13. Prananda, A.R., Frannita, E.L., Hutami, A.H.T., Maarif, M.R., Fitriyani, N.L., Syafrudin, M.* (2023) Retinal Nerve Fiber Layer Analysis Using Deep Learning to Improve Glaucoma Detection in Eye Disease Assessment. Applied Sciences, 13, 37, doi:10.3390/app13010037, [Link]|[GoogleScholar]
  14. Anshari, M., Syafrudin, M.*, Fitriyani, N.L., Razzaq, A. (2022) Ethical Responsibility and Sustainability (ERS) Development in a Metaverse Business Model. Sustainability, 14, 15805, doi:10.3390/su142315805, [Link]|[GoogleScholar]
  15. Fitriyani, N.L., Syafrudin, M.*, Ulyah, S.M., Alfian, G., Qolbiyani, S.L., Anshari, M. (2022) A Comprehensive Analysis of Chinese, Japanese, Korean, US-PIMA Indian, and Trinidadian Screening Scores for Diabetes Risk Assessment and Prediction. Mathematics, 10, 4027, [Link]|[GoogleScholar]
  16. Maarif, M. R., Listyanda, R. F., Kang, Y. S., & Syafrudin, M.* (2022). Artificial Neural Network Training Using Structural Learning with Forgetting for Parameter Analysis of Injection Molding Quality Prediction. Information, 13(10), 488, [Link]|[GoogleScholar]
  17. Alfian, G., Syafrudin, M.*, Fahrurrozi, I., Fitriyani, N.L., Atmaji, F.T.D., Widodo, T., Bahiyah, N., Benes, F., Rhee, J. Predicting Breast Cancer from Risk Factors Using SVM and Extra-Trees-Based Feature Selection Method. Computers 2022, 11, 136, doi:10.3390/computers11090136, [Link]|[GoogleScholar]
  18. Anshari, M., Syafrudin, M.*, Fitriyani, N.L. Fourth Industrial Revolution between Knowledge Management and Digital Humanities. Information 2022, 13, 292, doi:10.3390/info13060292. [Link]|[GoogleScholar]
  19. Kristanti, R.A., Hadibarata, T., Syafrudin, M., Yılmaz, M., Abdullah, S. Microbiological Contaminants in Drinking Water: Current Status and Challenges. Water Air Soil Pollut 2022, 233, 299, [Link]|[GoogleScholar]
  20. Hadibarata, T., Syafrudin, M. Writing Essay as Essential Assessment in Groundwater Contamination Course. Acta Pedagogia Asia 2022, 1, 9–17, [Link]|[GoogleScholar].
  21. Choong, W.S., Hadibarata, T., Yuniarto, A., Tang, K.H.D., Abdullah, F., Syafrudin, M., Al Farraj, D.A., Al-Mohaimeed, A.M. Characterization of Microplastics in the Water and Sediment of Baram River Estuary, Borneo Island. Marine Pollution Bulletin 2021, 172, 112880, [Link]|[GoogleScholar] (SCIE, IF Top 1.327% (2/113) in MARINE & FRESHWATER BIOLOGY, based on JCR 2021)
  22. Syafrudin, M., Kristanti, R.A., Yuniarto, A., Hadibarata, T., Rhee, J., Al-onazi, W.A., Algarni, T.S., Almarri, A.H., Al-Mohaimeed, A.M. Pesticides in Drinking Water—A Review. IJERPH 2021, 18, 468, [Link]|[GoogleScholar](SSCI, IF Top 23.580% (42/176) in PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH, based on JCR 2020).
  23. Alfian, G., Syafrudin, M.*, Anshari, M., Benes, F., Atmaji, F.T.D., Fahrurrozi, I., Hidayatullah, A.F., Rhee, J. Blood glucose prediction model for type 1 diabetes based on artificial neural network with time-domain features. Biocybernetics and Biomedical Engineering 2020, 40, 1586–1599. [Link]|[GoogleScholar] (SCIE, IF Top 45.402% (40/87) in ENGINEERING, BIOMEDICAL, based on JCR 2019)
  24. Alfian, G., Syafrudin, M.*, Fitriyani, N.L., Anshari, M., Stasa, P., Svub, J., Rhee, J. Deep Neural Network for Predicting Diabetic Retinopathy from Risk Factors. Mathematics 2020, 8, 1620. [Link] (SCIE, IF Top 8.488% (28/324) in MATHEMATICS, based on JCR 2019)
  25. Syafrudin, M., Alfian, G., Fitriyani, N.L., Anshari, M., Hadibarata, T., Fatwanto, A., Rhee, J. A Self-Care Prediction Model for Children with Disability Based on Genetic Algorithm and Extreme Gradient Boosting. Mathematics 2020, 8, 1590. [Link] (SCIE, IF Top 8.488% (28/324) in MATHEMATICS, based on JCR 2019)
  26. Fitriyani, N.L., Syafrudin, M.*, Alfian, G., Rhee, J. HDPM: An Effective Heart Disease Prediction Model for a Clinical Decision Support System. IEEE Access 2020, 8, pp. 1-17. [Link] (SCIE, IF Top 22.115% (35/156) in COMPUTER SCIENCE, INFORMATION SYSTEMS, based on JCR 2019)
  27. Alfian, G., Syafrudin, M., Farooq, U., Ma’arif, M.R., Syaekhoni, M.A., Fitriyani, N.L., Jaeho, L., Rhee, J. Improving Efficiency of RFID-based Traceability System for Perishable Food by Utilizing IoT Sensors and Machine Learning Model. Food Control 2020, 110, 107016. [Link] (SCIE, IF Top 7.778% (11/135) in FOOD SCIENCE & TECHNOLOGY, based on JCR 2018)
  28. Anuar, F.I., Hadibarata, T., Syafrudin, M., Fona, Z. Removal of Procion Red MX- 5B from aqueous solution by adsorption on Parkia speciosa (stink bean) peel powder. Biointerface Res Appl Chem 2020, 10, 4774–4779, [Link]
  29. Fitriyani, N.L., Syafrudin, M.*, Alfian, G., Rhee, J. Development of Disease Prediction Model Based on Ensemble Learning Approach for Diabetes and Hypertension. IEEE Access 2019, 7, pp. 144777-144789. [Link] (SCIE, IF Top 14.516% (23/155) in COMPUTER SCIENCE, INFORMATION SYSTEMS, based on JCR 2018)
  30. Alfian, G., Syafrudin, M., Yoon, B., Rhee, J. False Positive RFID Detection Using Classification Models. Appl. Sci. 2019, 9, 1154. [Link] (SCIE, IF Top 44.932% (67/148) in PHYSICS, APPLIED, based on JCR 2018)
  31. Syafrudin, M.*, Fitriyani, N.L., Alfian, G., Rhee, J. An Affordable Fast Early Warning System for Edge Computing in Assembly Line. Appl. Sci. 2019, 9, 84. [Link] (SCIE, IF Top 44.932% (67/148) in PHYSICS, APPLIED, based on JCR 2018)
  32. 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. Asia Pacific Journal of Marketing and Logistics 2019, 31, 265–290. [Link] (SSCI, IF Top 79.252% (117/147) in BUSINESS, based on JCR 2018)
  33. 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] (SCIE, IF Top 23.770% (15/61) in INSTRUMENTS & INSTRUMENTATION, based on JCR 2018)
  34. 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] (SCIE, IF Top 44.932% (67/148) in PHYSICS, APPLIED, based on JCR 2018)
  35. 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] (SCIE, IF Top 25.410% (16/61) in INSTRUMENTS & INSTRUMENTATION, based on JCR 2017)
  36. 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] (SSCI, IF Top 41.667% (3/6) in GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY, based on JCR 2017)
  37. 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] (SSCI, IF Top 41.667% (3/6) in GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY, based on JCR 2017)
  38. 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] (SCIE, IF Top 50.338% (75/148) in PHYSICS, APPLIED, based on JCR 2016)

[C] Conference Proceedings

  1. 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]
  2. 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].
  3. 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. [Link]|[GoogleScholar]
  4. 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]
  5. 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]
  6. 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]
  7. 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]
  8. 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]
  9. Syafrudin, M., Fitriyani, N. L., & Alfian, G. Forecasting Blood Glucose Using Extreme Gradient Boosting Regression Model. In KMIS International Conference (pp. 501-505).[Link]
  10. 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]
  11. 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]
  12. 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]
  13. 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]
  14. 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]
  15. 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]
  16. 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]
  17. 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.
  18. 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]
  19. 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]
  20. 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]
  21. 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]
  22. 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]

[B] Books / Chapters

  1. Anshari, M., Syafrudin, M., Fitriyani, N.L., Al-Mudimigh, A. Ethical Concerns in the Metaverse Business: In Advances in E-Business Research, Anshari, M., Syafrudin, M., Alfian, G., Eds., IGI Global, 2023, pp. 35–47 ISBN 978-1-66846-097-9, [Link]
  2. Metaverse Applications for New Business Models and Disruptive Innovation:, Anshari, M., Syafrudin, M., Alfian, G., Eds., Advances in E-Business Research, IGI Global, 2023, ISBN 978-1-66846-097-9, [Link]
  3. Alfian, G., Syafrudin, M.*, Fitriyani, N.L., Syaekhoni, M.A., Rhee, J. Utilizing IoT-Based Sensors and Prediction Model for Health-Care Monitoring System. In Artificial Intelligence and Big Data Analytics for Smart Healthcare, Elsevier, 2021, pp. 63–80 ISBN 978-0-12-822060-3. [Link]

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