Aldilas Achmad Nursetyo

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

Aldilas Achmad Nursetyo

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