I am
T. M. Caesar Maulana,
a Computer Engineering
graduate.

DrivEye - Intelligent Vehicle Distance Measurement

• Developed "DrivEye", a mobile application using Flutter that leverages the YOLOv5 model for real-time vehicle distance measurement.
• Enhanced road safety by providing early warnings about safe distances between vehicles.
• Achieved a mean Average Precision (mAP) of 90% in object detection.
• Attained a distance prediction accuracy of 94.08%.
• Offers a practical and cost-effective solution to reduce traffic accidents and promote safer driving behaviors.
• Published in the IEEE Xplore Digital Library.

Co-Sense - Hardware Recording

It uses Raspberry Pi, ESP32, and various sensors such as ultrasonic, gyroscope, and GPS to record vehicle travel data.

Co-Sense - Software Recording

Using a smartphone camera for object detection and internal sensors to record vehicle travel data.

Co-Sense - Data Visualization App

Android-based application to display data on distance between vehicles, slope, speed, and location history in a structured manner.

Co-Sense: Internet of Things-Based Multi-Sensor Vehicle Trip Data Recorder

• Funded by Belmawa Kemendikbudristek for PKM-KC program.
• Published in the IEEE Xplore Digital Library.
• Presented at an international conference and will soon be published.
• The system has been copyrighted.

Chatbot Project - Intelligent Live Chat System

• Developing a chatbot on the Telegram platform.
• Data obtained from raw data from live chat with BPS Aceh operators.
• Performing data cleaning so that the data can be used optimally.
• Creating a prediction model to provide answers to users.
• Data cleaning and model implementation are done using the Python programming language.
• Using cloud services so that bots can run automatically for 24 hours.

HOSTYKING - Hospital Facility Booking

• Technology: Built with HTML, CSS, JavaScript, PHP, and MariaDB.
• Admin: Manages patient records, doctor schedules, inpatient rooms, medical actions, and medications.
• Doctor: Views schedules, handles patient consultations, provides diagnoses, and records medical actions.
• Patient: Books consultations, checks medical history, accesses examination results, and views medical images.

Vacuum Distillation System

• Developed a Vacuum Distillation System with an Automatic Control System using Arduino Uno.
• Funded by Belmawa Kemendikbudristek for the PKM-KC program.
• Improves the quality of patchouli oil for Aceh farmers by optimizing purification and preventing oil cracking.
• Achieves high-grade oil with a patchouli content above 40%.
• Utilizes automatic control for stable temperature and pressure regulation.

Autonomous Flight System

• Developed an automation system that enables autonomous flight from takeoff to landing.
• Utilizing the Jetson Nano mini computer to process sensor data and execute commands to the Ground Control System (GCS).
• Enables the drone to perform tasks such as take-off, landing, navigating between points, and avoiding obstacles efficiently.