Dr. Faisal Binsarās research primarily revolves around digital transformation and its impact on healthcare management, e-commerce, and information systems. š„š» His work explores topics such as big data, artificial intelligence, machine learning, and digital adoption capability in hospitals and other organizations. šš” Notable contributions include the optimization of hospital information systems, patient engagement, and healthcare service safety. He also addresses e-commerce issues such as promo abuse and customer churn prediction, alongside analyzing data mining techniques in various industries. šš His expertise extends to digital leadership, cloud computing, and digital health.
Research Focus Areas
Dr. Faisal Binsar began his career as a programmer while still in college, creating products to support administrative processes in government, state-owned enterprises, and private companies. š» With over 15 years of experience in the healthcare sector, he has played a pivotal role in developing and managing the widely used Hospital Management Information System (SIMRS) in hospitals across Indonesia. š„ His expertise spans digital analytics, big data, artificial intelligence, e-commerce, supply chain services, and healthcare management. š Dr. Binsarās work aims to optimize efficiency and improve patient care, blending technology with strategic management to drive progress. š
Publication Top NotesĀ 
- Mining of Social Media on Covid-19 Big Data Infodemic in Indonesia – Cited by 11 š±š» (2020)
- Promo Abuse Modeling in E-commerce Using Machine Learning Approach – Cited by 9 šš¤ (2020)
- Cross-Industry Standard Process for Data Mining (CRISP-DM) – Cited by 7 šš (2020)
- Risk of Invalidation of Data in Hospital Information Systems in Indonesia – Cited by 6 š„š¾ (2020)
- Digital Transformation of Information Fulfillment and Patient Engagement for Health Service Safety – Cited by 5 šš” (2022)
- Drug Stock Optimization Based on Consumption Patterns for Hospital Formulary Using Deep Learning Approach – Cited by 5 šš¤ (2020)
- Design of Cloud Computing Outpatient Registration Model Through SMS Messages at Hospitals Using TOGAF ADM – Cited by 5 āļøš± (2020)
- Customer Churn Prediction Models for PT. XYZ Insurance – Cited by 4 š¼š (2020)
- Determinants of Digital Adoption Capability for Service Performance in Indonesian Hospitals: A Conceptual Model – Cited by 3 š„š§ (2024)
- Paradoxes in Telemedicine Services: Analysis of Challenges and Opportunities for the Future of Digital Health-A Systematic Literature Review – Cited by 1 šš (2024)