I am a recent graduate in Information Technology from Telkom University with a strong passion for technology and business. I enjoy thinking creatively and critically and am always looking for opportunities to learn and grow.

• Degree: Information Technology, Telkom University
• Skills: Python, Flask, Django, Machine Learning, IoT, Data Analysis, Back End Development, Cloud Computing
• Interests: Technology, Business, Web Development, Machine Learning

• Description: A fertigation recommendation system based on IoT using the Random Forest method for optimizing fertilizer application in melon cultivation.
• Technologies: Python, Flask, Django, Machine Learning, IoT
• Key Features:
  • NPK Monitoring: Track nutrient levels in real-time.
  • Data Visualization: Interactive charts and graphs for easy analysis.
  • Fertilization Recommendations: Personalized recommendations based on plant needs.

• Description: Develops the utilization of technology in agriculture to assist farmers, especially in accurately detecting diseases and pests in rice. The app provides information on symptoms, causes, prevention, and treatment of diseases. It also includes features for Crop Monitoring Schedule, Rice Price and Yield Forecasting, Weather API for Monitoring, and farming consultations and tips.
• Technologies: Machine Learning, Kotlin, Cloud Build
• Key Features:
  • Disease and Pest Detection: Accurate identification of diseases and pests.
  • Information on Diseases: Detailed insights on symptoms, causes, prevention, and treatment.
  • Crop Monitoring Schedule: Manage and schedule crop monitoring activities.
  • Rice Price and Yield Forecasting: Tools for forecasting rice prices and yield.
  • Weather API Integration: Real-time weather updates for better planning.
  • Consultation and Tips: Access to expert consultations and farming tips.

• Description: Created a bus tracking app using Flutter, integrating Google Location API and Google Maps API for real-time tracking, Firebase Auth for user authentication, and Firebase Database for data management, all developed in Android Studio.
• Technologies: Dart, C++, Swift, HTML
• Key Features:
  • Firebase Auth: Secure user authentication.
  • Google Location API: Real-time location tracking.
  • Google Maps API: Visualize bus routes and locations on maps.

• Sistem Rekomendasi Fertigasi Berbasis Internet of Things dengan Metode Random Forest: A scholarly book publication detailing the fertigation recommendation system based on IoT and Random Forest.

• Programming: Python, JavaScript, HTML, CSS
• Frameworks: Flask, Django
• Machine Learning: Random Forest, SMOTE
• Data Analysis: Pandas, NumPy
• Tools: Git, Docker, Jupyter

• Email: [email protected]
• LinkedIn: linkedin.com/in/reyhan-nathaniel-adhiwijaya
• GitHub: https://github.com/DrLier
• Instagram: @reyn_nat

• Collaborating on technology projects
• Discussing the latest technology trends and industry developments
• Learning and growing in the fields of technology and business

Thank you for visiting my GitHub profile. If you're interested in discussing or collaborating, feel free to reach out!