Dr. Faisal Binsar’s research primarily revolves around digital transformation and its impact on healthcare management, e-commerce, and information systems. 🏥💻 His work explores topics such as big data, artificial intelligence, machine learning, and digital adoption capability in hospitals and other organizations. 📊💡 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. 🌍🔍 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. 💻 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. 🏥 His expertise spans digital analytics, big data, artificial intelligence, e-commerce, supply chain services, and healthcare management. 📊 Dr. Binsar’s work aims to optimize efficiency and improve patient care, blending technology with strategic management to drive progress. 🌐
Publication Top Notes 
- Mining of Social Media on Covid-19 Big Data Infodemic in Indonesia – Cited by 11 📱💻 (2020)
- Promo Abuse Modeling in E-commerce Using Machine Learning Approach – Cited by 9 🛒🤖 (2020)
- Cross-Industry Standard Process for Data Mining (CRISP-DM) – Cited by 7 🔍📊 (2020)
- Risk of Invalidation of Data in Hospital Information Systems in Indonesia – Cited by 6 🏥💾 (2020)
- Digital Transformation of Information Fulfillment and Patient Engagement for Health Service Safety – Cited by 5 🌐💡 (2022)
- Drug Stock Optimization Based on Consumption Patterns for Hospital Formulary Using Deep Learning Approach – Cited by 5 💊🤖 (2020)
- Design of Cloud Computing Outpatient Registration Model Through SMS Messages at Hospitals Using TOGAF ADM – Cited by 5 ☁️📱 (2020)
- Customer Churn Prediction Models for PT. XYZ Insurance – Cited by 4 💼📉 (2020)
- Determinants of Digital Adoption Capability for Service Performance in Indonesian Hospitals: A Conceptual Model – Cited by 3 🏥🔧 (2024)
- Paradoxes in Telemedicine Services: Analysis of Challenges and Opportunities for the Future of Digital Health-A Systematic Literature Review – Cited by 1 📞🌍 (2024)