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Wiring MeaSmart

Project Information

  • Category: IoT · Monitoring
  • Client: Academic Project
  • Project Date: 2025
  • Technologies: ESP8266, Sensors, Blynk
  • Role: System Designer & Developer

IoT-based Mealworm Farm Monitoring System (MeaSmart)

2025 Academic Project

Designed a complete IoT solution for monitoring temperature, humidity, and feeding cycles in a mealworm farm. The system uses ESP8266, various sensors, and the Blynk platform for real-time data visualization and remote control.

Key Contributions
  • Created wiring schematics and sensor integration layout.
  • Developed firmware for data acquisition and transmission.
  • Built a dashboard for monitoring environmental conditions.
  • Tested and validated system reliability over a 2-week period.

Impact: Enabled efficient farm management, reduced manual intervention, and improved yield predictability.

ESP8266 Sensors Blynk

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Custom PSU PCB

Project Information

  • Category: PCB Design · Power
  • Client: Personal / Academic
  • Project Date: 2025
  • Technologies: Eagle, Proteus
  • Role: PCB Designer

Custom Power Supply Unit (PSU) PCB Design

2025 Personal Project

Designed a compact and efficient power supply PCB for electronic projects, featuring voltage regulation, overcurrent protection, and multiple output rails.

Key Contributions
  • Schematic capture and component selection for optimal performance.
  • PCB layout with careful routing to minimize noise and heat.
  • Simulation and validation using Proteus.
  • Produced manufacturing files (Gerber, BOM).

Outcome: A reliable, compact PSU board suitable for powering microcontrollers, sensors, and other low-power devices.

Eagle Proteus

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Fish Feeder

Project Information

  • Category: 3D Design · Automation
  • Client: Academic Project
  • Project Date: 2025
  • Technologies: Tinkercad, 3D Printing
  • Role: Designer & Concept Developer

Automatic Fish Feeder – 3D Concept Design

2025 Academic Project

Developed a 3D prototype of an automatic fish feeder using Tinkercad, featuring a timer-controlled dispensing mechanism to ensure consistent feeding schedules for aquaculture applications.

Key Contributions
  • Designed the mechanical structure and hopper system.
  • Integrated a servo motor mechanism for portion control.
  • Created 3D printable models for rapid prototyping.
  • Documented assembly instructions and part list.

Outcome: A scalable, low-cost automatic feeder concept ready for further development and real-world testing.

Tinkercad Servo Control

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GTN PSU

Project Information

  • Category: Product · Hardware
  • Client: Personal Brand (GTN)
  • Project Date: 2025
  • Technologies: KiCad, PCB Manufacturing
  • Role: Product Designer

GTN Power Supply Board – Reliable Power Solution

2025 Personal Product

Designed a robust power supply board under the GTN brand, providing stable and regulated power for embedded systems, sensors, and IoT devices.

Key Contributions
  • Selected high-quality components for efficiency and longevity.
  • Optimized PCB layout for thermal management and compact form factor.
  • Produced Gerber files and coordinated with a PCB manufacturer.
  • Performed functional testing and validated performance.

Outcome: A reliable, ready-to-use power supply board ideal for prototyping and production use.

KiCad Power Electronics

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Smart Doorbell Circuit

Project Information

  • Category: Circuit Design · IoT
  • Client: Academic Project
  • Project Date: 2025
  • Technologies: ESP32, Camera Module, Proteus
  • Role: Circuit Designer

Smart Doorbell Circuit with Integrated Camera

2025 Academic Project

Designed a complete circuit for a smart doorbell featuring an ESP32, camera module, push button, and a buzzer, with Wi-Fi connectivity for remote monitoring and alerting.

Key Contributions
  • Developed the schematic including power management and signal conditioning.
  • Simulated circuit behavior using Proteus.
  • Created a prototype layout for the PCB.
  • Prepared component list and wiring documentation.

Outcome: A functional circuit design ready for prototyping and integration into a full smart doorbell system.

ESP32 Camera Proteus

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Prototype Smart Doorbell

Project Information

  • Category: Prototyping · IoT
  • Client: Academic Project
  • Project Date: 2025
  • Technologies: ESP32, Camera, 3D Printed Case
  • Role: System Integrator

Functional Prototype of Smart Doorbell with Camera

2025 Academic Project

Assembled and tested a working prototype of the smart doorbell system, integrating the ESP32, camera, button, and buzzer into a 3D-printed housing, with Wi-Fi connectivity for remote alerts and live video streaming.

Key Contributions
  • Integrated all electronic components into a compact enclosure.
  • Developed firmware for Wi-Fi communication and camera capture.
  • Set up a simple web interface for remote monitoring.
  • Conducted extensive testing for reliability and user experience.

Outcome: A fully functional smart doorbell prototype demonstrating remote monitoring and alerting capabilities.

ESP32 Camera 3D Printing

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Nira Loka

Project Information

  • Category: 3D Design · Smart Farming
  • Client: Academic Project
  • Project Date: 2025
  • Technologies: Tinkercad, 3D Printing
  • Role: 3D Designer

3D Smart Coconut Sap System (Nira Loka)

2025 Academic Project

Designed a 3D concept for an automated coconut sap harvesting and monitoring system, featuring a collection mechanism, level sensor, and IoT connectivity for real-time tracking.

Key Contributions
  • Created a 3D model of the entire system using Tinkercad.
  • Designed components for sap collection and transfer.
  • Integrated sensor mounting points for automation.
  • Documented assembly and operational workflow.

Outcome: A visual concept ready for prototyping, enabling smart monitoring of sap production and quality.

Tinkercad Smart Farming

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Custom PCB Smart Doorbell

Project Information

  • Category: PCB Design · Product
  • Client: Personal Project
  • Project Date: 2025
  • Technologies: Eagle, PCB Manufacturing
  • Role: PCB Designer

Custom PCB for Smart Doorbell

2025 Personal Project

Designed a custom PCB that integrates all electronic components (ESP32, camera interface, button, buzzer) into a single board, reducing wiring and improving reliability.

Key Contributions
  • Consolidated multiple components onto a compact PCB.
  • Optimized routing for signal integrity and EMI reduction.
  • Produced manufacturing files (Gerber, drill, BOM).
  • Tested the PCB for functionality and durability.

Outcome: A clean, professional PCB for the smart doorbell, making assembly easier and more reliable.

Eagle ESP32

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Smart Doorbell Design PCB

Project Information

  • Category: PCB Design · R&D
  • Client: Academic / Personal
  • Project Date: 2025
  • Technologies: KiCad, Proteus
  • Role: Designer & Developer

Smart Doorbell Design & Development PCB

2025 Academic/Personal

Developed a complete PCB design for a smart doorbell system, including power regulation, camera interface, and wireless communication modules, with simulation and validation.

Key Contributions
  • Full schematic capture and component selection.
  • High-density PCB layout for compact integration.
  • Simulation of critical circuits using Proteus.
  • Preparation of documentation and manufacturing data.

Outcome: A robust, production-ready PCB design for advanced smart doorbell applications.

KiCad Proteus ESP32

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Edge Detection Research

Project Information

  • Category: Research · Medical Imaging
  • Client: Academic Publication
  • Project Date: 2025
  • Technologies: Python, Google Colab, OpenCV
  • Role: Lead Researcher & Author

Comparative Analysis of Edge Detection Algorithms for Medical Imaging

2025 Published Paper

Conducted a comprehensive study comparing the Canny, Sobel, and Prewitt edge detection algorithms applied to lung medical images, aimed at improving diagnostic accuracy and image segmentation quality.

Key Contributions
  • Implemented and benchmarked three algorithms in Python using OpenCV.
  • Evaluated accuracy, processing time, and noise sensitivity on 200+ sample images.
  • Documented findings in a peer-reviewed research paper.
  • Presented results at an academic seminar.

Outcome: Provided insights into the trade-offs between computational efficiency and detection accuracy for medical image processing applications.

Python Google Colab Image Processing Research

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Helmet Detection System

Project Information

  • Category: Computer Vision · Safety
  • Client: PT Industri Kereta Api (INKA)
  • Project Date: April – May 2026
  • Technologies: Python, OpenCV, YOLOv8
  • Role: Intern – Digitalization Operational Management

Real-time Helmet Detection for Industrial Safety

Apr – May 2026 PT INKA, Madiun

Developed a computer vision-based safety monitoring system to detect whether workers in the manufacturing area were wearing safety helmets. The system used YOLOv8 for object detection and OpenCV for real-time video processing.

Key Contributions
  • Curated and annotated 1,000+ images of workers with and without helmets.
  • Trained a custom YOLOv8 model achieving >92% detection accuracy.
  • Integrated the model with live camera feeds for instant alert generation.
  • Deployed and tested on edge devices for low-latency performance.

Impact: The system significantly improved workplace safety compliance and reduced manual monitoring efforts.

Python OpenCV YOLOv8 Computer Vision

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Energy Monitoring System

Project Information

  • Category: IoT · Energy Efficiency
  • Client: PT Industri Kereta Api (INKA)
  • Project Date: April – May 2026
  • Technologies: Sensors, Data Analytics, Dashboard
  • Role: Intern – Digitalization Operational Management

Energy Monitoring for CNC & Robotic Welding

Apr – May 2026 PT INKA, Madiun

Designed and implemented an energy monitoring system for heavy machinery (CNC and robotic welding equipment) to support predictive maintenance and operational efficiency.

Key Contributions
  • Integrated current and voltage sensors to collect real-time energy data.
  • Built a dashboard for visualizing energy consumption patterns.
  • Implemented threshold-based alerts to notify engineers of anomalies.
  • Analyzed historical data to identify optimization opportunities.

Impact: Enabled data-driven maintenance, reducing unexpected downtime and lowering overall energy costs.

Data Analytics IoT Sensors Monitoring

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