Bio
Since 2017, Aldilas has been actively involved in contribute and developing at national and regional level, either academically or direct consultancy. He has experience in developing monitoring and evaluation system in National Family Planning Coordinating Agency (BKKBN) and strengthening national disease surveillance system, especially for early warning and response system (EWARS). He also experienced in research methodology, either quantitative or qualitative methodology, while demonstrating excelence scientific writing and publication experience. Currently, he is active as researcher in Center for Health Policy and Management, Universitas Gadjah Mada, Indonesia.
Education
Taipei Medical University | Taipei, TW
M.Sc. (Biomedical Informatics) | 2017 - 2019
Universitas Muhammadiyah Yogyakarta | Yogyakarta, ID
B.Sc. in Medicine & M.D. (Medical Doctor) | 2007 - 2015
Experience
Center for Health Policy & Management, Universitas Gadjah Mada
Researcher | 2016-present
World Bank Group
Consultant | 2021-present
Apotek Viva Generik
General Practitioner | 2020-2021
International Center for Health Information Technology, Taipei Medical University
Research Assistant | 2018-2019
RSUD Inche Abdoel Moeis, Kota Samarinda
Internship Medical Doctor | 2015-2016
Publication
Rahmanti, A. R., Yang, H.-C., Bintoro, B. S., Nursetyo, A. A., Muhtar, M. S., Syed-Abdul, S., & Li, Y.-C. J. (2022). SlimMe, a Chatbot With Artificial Empathy for Personal Weight Management: System Design and Finding. Frontiers in Nutrition, 9, 870775. doi
Rahmanti, A. R., Chien, C.-H., Nursetyo, A. A., Husnayain, A., Wiratama, B. S., Fuad, A., Yang, H.-C., & Li, Y.-C. J. (2022). Social media sentiment analysis to monitor the performance of vaccination coverage during the early phase of the national COVID-19 vaccine rollout. Computer Methods and Programs in Biomedicine, 221, 106838. doi
Nanda, R. O., Nursetyo, A. A., Ramadona, A. L., Imron, M. A., Fuad, A., Setyawan, A., & Ahmad, R. A. (2022). Community Mobility and COVID-19 Dynamics in Jakarta, Indonesia. International Journal of Environmental Research and Public Health, 19(11), 6671. doi
Hardhantyo, M., Djasri, H., Nursetyo, A. A., Yulianti, A., Adipradipta, B. R., Hawley, W., Mika, J., Praptiningsih, C. Y., Mangiri, A., Prasetyowati, E. B., & Brye, L. (2022). Quality of National Disease Surveillance Reporting before and during COVID-19: A Mixed-Method Study in Indonesia. International Journal of Environmental Research and Public Health, 19(5), 2728. doi
Dovgan, E., Gradišek, A., Luštrek, M., Uddin, M., Nursetyo, A. A., Annavarajula, S. K., Li, Y.-C., & Syed-Abdul, S. (2020). Using machine learning models to predict the initiation of renal replacement therapy among chronic kidney disease patients. PLOS ONE, 15(6), e0233976. doi
Syed-Abdul, S., Malwade, S., Nursetyo, A. A., Sood, M., Bhatia, M., Barsasella, D., Liu, M. F., Chang, C.-C., Srinivasan, K., M., R., & Li, Y.-C. J. (2019). Virtual reality among the elderly: A usefulness and acceptance study from Taiwan. BMC Geriatrics, 19(1), 223. doi
Nursetyo, A. A., Syed-Abdul, S., Uddin, M., & Li, Y.-C. J. (2019). Graft Rejection Prediction Following Kidney Transplantation Using Machine Learning Techniques: A Systematic Review and Meta-Analysis. Studies in Health Technology and Informatics, 264, 10–14. doi
Putra, F. R., Nursetyo, A. A., Thakur, S. S., Roy, R. B., Syed-Abdul, S., Malwade, S., & Li, Y.-C. J. (2019). Prediction of Clinical Events in Hemodialysis Patients Using an Artificial Neural Network. Studies in Health Technology and Informatics, 264, 1570–1571. doi
Thakur, S. S., Abdul, S. S., Chiu, H.-Y. (Shannon), Roy, R. B., Huang, P.-Y., Malwade, S., Nursetyo, A. A., & Li, Y.-C. (Jack). (2018). Artificial-Intelligence-Based Prediction of Clinical Events among Hemodialysis Patients Using Non-Contact Sensor Data. Sensors, 18(9), 2833. doi
Ganapathy, K., Abdul, S., & Nursetyo, A. (2018). Artificial intelligence in neurosciences: A clinician’s perspective. Neurology India, 66(4), 934. doi
Malwade, S., Abdul, S. S., Uddin, M., Nursetyo, A. A., Fernandez-Luque, L., Zhu, X. (Katie), Cilliers, L., Wong, C.-P., Bamidis, P., & Li, Y.-C. (Jack). (2018). Mobile and wearable technologies in healthcare for the ageing population. Computer Methods and Programs in Biomedicine, 161, 233–237. doi
Nurwanti, E., Uddin, M., Chang, J.-S., Hadi, H., Syed-Abdul, S., Su, E., Nursetyo, A., Masud, J., & Bai, C.-H. (2018). Roles of Sedentary Behaviors and Unhealthy Foods in Increasing the Obesity Risk in Adult Men and Women: A Cross-Sectional National Study. Nutrients, 10(6), 704. doi