Yogi Prakoso

AWS Officer  •  PT. Adaro Tirta Mandiri

March 2024 - Present

• I initiated the development of software quality control for smart water meters using Visual Basic.
• I designed a web-based user interface for controlling pumps for quality control using the Tailwind CSS framework.
• I am currently in the process of developing a software application for AWS (Adaro Water Solution).

Water Treatment Plant - Deviota  •  PT. Drupadi Tirta Intan

August 2023 - October 2023

• Developed an IoT system for a water treatment plant.
• Collaborated with a team to create the front-end web-based control and monitoring system.
• Utilized Node-RED, MQTT communication protocol, and STM32 based on Lo-Ra communication.

Web & Graphic Designer Team  •  Physics Department, ITB

November 2022 - April 2023

• Collaborate with a development team to design and implement user-friendly interfaces for the web.
• Design and create marketing materials such as logos, brochures, and other promotional materials.
• Use design software such as Adobe Photoshop Affinity Designer to create high-quality designs and graphics.
• Work with project managers to ensure all design projects are completed on time and meet our high standards of quality.

IoT Engineer and Web Developer  •  Rumah Badak Team

March 2022 - July 2022

• Using my skills in Arduino programming and web development, I created a system that could accurately track employee attendance using fingerprint recognition technology.
• I also worked on the development of an Arduino ESP32 CAM-based CCTV system, which could capture real-time video footage and transmit it to a cloud-based server.
• Using my expertise in cloud computing and web development, I created an intuitive web-based dashboard that allowed users to view live and recorded footage from anywhere with an internet connection.

Image Processing-based Egg Sorter using CNN •  Final Project

February 2022 - December 2022

• My final project was an image processing-based egg sorter that uses convolutional neural network (CNN) to filter eggs that are ready for hatching in an egg incubator.
• The system uses image processing with machine learning to determine the optimal set of image parameters for good egg classification.
• In addition, the system also measures the ratio of the length to diameter of the eggs and their weight, which is obtained through real-time image processing using OpenCV.

OpenCV-based Robot Object Follower  •  Computation & Smart Instrumentation System

August 2022 - December 2022

• I developed a robot object follower using OpenCV Python that tracks an object based on its color and position using an integrated camera.
• The robot is able to detect and follow objects in real-time, and its movements are synchronized with an Android application.
• This project leverages the power of computer vision and robotics to create a fully integrated and automated system that can be used for a variety of applications, from surveillance to automated manufacturing processes.

Fingerprint-based Biometric Attendance System •  Community Dedication, Ditmawa ITB

March 2022 - July 2022

• I developed a Fingerprint-based Biometric Attendance System that's integrated with cloud computing via a website. 
• The system uses an AS608 fingerprint scanner module for secure and reliable attendance tracking.
• I used an ESP-32 microcontroller with Arduino to program the system and ensure smooth communication between the website and the biometric scanner.
• Through the use of the microcontroller, I was able to efficiently process the data collected from the biometric scanner and transmit it to the cloud computing platform for storage and further analysis.

1 - 3 March 2023

Object Detection Course

• Computer Vision Zone, Murtaza's Workshop

On this course, I have learned about the concept and history of object detection, as well as performance evaluation metrics. I also gained knowledge of package installations and running Yolo with a webcam or GPU. Moreover, I was able to apply my learning through various projects such as car and people counters, PPE detection, and poker hand detector.

20 - 21 December 2022

Python-based Programming for Science Modelling

• Physics Department, ITB

I gained a solid understanding of the Python programming language and how to apply it to scientific data analysis and modeling. Specifically, I learned how to create and manipulate data structures, write functions, and use Python libraries for scientific computing, data visualization, and statistical analysis.

14 - 17 October 2022

OpenCV-based 3D Ball Tracking Course

•  Computer Vision Zone, Murtaza's Workshop

On this course, I acquired knowledge of tracking a ball in three dimensions using OpenCV-Python to detect and determine the coordinates of the ball. Subsequently, these values are transmitted to Unity's 3D environment in real-time to achieve optimal results.