Muh Ihwan

Electronics Engineering graduate with hands-on experience in Embedded Systems, Internet of Things (IoT), and Computer Vision development. Experienced in designing, building, and integrating hardware and software solutions from research and prototyping to implementation using microcontrollers, sensors, actuators, wireless communication technologies, and Linux-based environments. Skilled in developing systems using ESP32, Arduino, Python, OpenCV, and YOLO for automation, security, monitoring, and intelligent sensing applications.

Demonstrated ability to independently research, learn, and implement new technologies through embedded, IoT, and machine learning projects. Strong interest in Industrial IoT, automation systems, robotics, and AI-driven solutions.

Machine Learning Developer at Ujung Pandang State Polytechnic (2025-05 – 2025-09)

Final Project: UAV-Based Road Damage Detection Using Machine Learning

• Designed and developed a UAV-based road damage detection system using the YOLOv5 algorithm.
• Collected and annotated 6,233 road damage images covering four damage categories.
• Trained and evaluated a YOLOv5 model for automated road damage classification.
• Developed a web-based monitoring system to visualize detection results.
• Built an image processing pipeline for automatic road damage detection and classification.
• Improved road inspection efficiency through computer vision-based analysis.

Junior IoT Engineer at Ujung Pandang State Polytechnic (2025-08 – 2025-09)

Smart IoT Donation Box - Designed and developed an IoT-based security and monitoring system.

• Integrated fingerprint sensor, camera, GPS module, vibration sensor, buzzer, and LCD into a unified embedded system.
• Implemented automated notifications and reporting through Telegram Bot.
• Performed hardware wiring, assembly, testing, and troubleshooting.
• Developed remote monitoring capabilities to enhance theft prevention and asset security.

Embedded System Developer at Ujung Pandang State Polytechnic (2024-11 – 2025-01)

Overhead Crane System Enhancement Based on Microcontroller - Improved and optimized a microcontroller-based overhead crane simulator.

• Integrated DC motors, servo motors, ultrasonic sensors, vibration sensors, temperature sensors, LCD display, and ESP8266 communication module.
• Implemented serial communication and real-time monitoring functions.
• Performed troubleshooting, calibration, and performance testing to improve system reliability and accuracy.

R&D Coordinator at Electrical Robotics Community - Ujung Pandang State Polytechnic (2025-01 – Present)

• Led and coordinated six robotics research and development programs.
• Managed project planning, execution, and evaluation activities with the R&D team.
• Conducted technology research for KRI competition robots and non-KRI robotic systems.
• Prepared technical reports and monitored project progress across all programs.

Associate Degree in Electronics Engineering – Ujung Pandang State Polytechnic (2022 – 2025)