HAM DANDIH

About Me

I am Hamdandih, an Informatics graduate from Ahmad Dahlan University with expertise in software development, data analysis, and machine learning. Proficient in technologies such as C++, Python, SQL, and frameworks like ROS and TensorFlow, I specialize in developing intelligent systems and computer vision applications. My experience in humanoid robot research demonstrates my ability to innovate and solve complex technical challenges. Driven by a commitment to continuous learning, I am passionate about contributing to impactful projects that address real-world challenges through advanced technology.

2nd Place RoboCupSoccer - Humanoid League RoboCup Asia-Pasific

The winner of the international humanoid robot soccer competition held by RoboCup is one of the largest robotics and artificial intelligence competitions in the world held in South Korea in 2023.

1st Place Influencer award - University Category RoboCup Asia-Pasific

best influencer international university level competition organized by RoboCup is one of the largest robotics and artificial intelligence competitions in the world held in South Korea in 2023.

2nd Place Indonesian Humanoid Football Robot Contest Region 1

Indonesian robot contest winner in the humanoid soccer robot contest category organized by Kementrian Pendidikan Kebudayaan Riset dan Teknologi and Pusat Prestasi Nasional , as a forum for student creativity.

Award

2nd place in student achievement in the field of reasoning and creativity activities of the Ministry of Education, Culture, Research and Technology

Resume

Education

Bachelor of informatics

2020 - 2024

IPK 3.71

Ahmad Dahlan University, Yogyakarta, INDONESIA

Campus Awards

2nd place in student achievement in reasoning and creativity activities of the Ministry of Education, Culture, Research and Technology

Achievment Regional and Nasional

3rd Place Kontes Robot Sepakbola Humanoid, regional level 1 in 2021
4rd Place Kontes Robot Sepakbola Humanoid, National in 2021
Finalis Nasional Kontes Robot SepakBola Humanoid Indonesia 2022
2nd Place Kontes Robot SepakBola Humanoid Indonesia 2023
Finalis Nasional Kontes Robot SepakBola Humanoid Indonesia 2023
2nd Place Kontes Robot SepakBola Humanoid Indonesia 2024
Finalis Nasional Kontes Robot SepakBola Humanoid Indonesia 2024

Achievment INTERNATIONAL

1st Place Influencer award - Univeristy Category RoboCup Asia-Pasific in South Korea 2023
2nd Place RoboCupSoccer - Humanoid League Robocup Asia-Pasific in South Korea 2023

Automotive vocational high School

2016-2019

SMK N 1 LAHAT, Sumatera Selatan, INDONESIA

Achievment

District Level Basketball Champion

Junior Web Developer

2021-2024

BNSP Competent Certificate

Competent

Organization

RSCUAD (Robo Soccer Universitas Ahmad Dahlan)

February 2021 - August 2024

Programmer Feb 2021 - July 2023

Team Leader Aug 2023 - Aug 2024

Develop and be responsible for the program code and software on the robot, especially before the robot contest

RDC (Robotic Development Comunity)

February 2021 - July 2024

Member

Carry out research and participate in robot contests representing Ahmad Dahlan University

GDSC (Google Developer Student Clubs)

2021 - 2022

Member

Develop and be responsible for the program code and software

Himpunan Mahasiswa Teknik Informatika

2021

Staff Akastrat

Advocating and accommodating all the aspirations of informatics engineering students who will later be reviewed and responsible for carrying out the aspirations of incoming students

Experience

Laboratory assistant at Informatics UAD

Aug 2023 - Jan 2024

Laboratory Informatics Universitas Ahmad Dahlan

Teaching students in robotics practicum such as Arduino, getting to know the basic concepts of ROS (Robot Operating System) during practicum.
Teaching students practical image processing techniques

Programmer & Team Lead Robotic Development Team

Feb 2020 - July 2024

Universitas Ahmad Dahlan

ed a development team on a humanoid robot with the name R-SCUAD including software, hardware and electronics on the robot
Dividing tasks to members in their respective sections on Github.
Carry out technology development for special robots in the programming section, vision, robot movement, communication between robots.

Machine Learning Cohort Bangkit Academy led by Google, Tokopedia, Gojek, & Traveloka

Feb 2023 - Jul 2023

Learn to recognize algorithms in machine learning, data structures, data processing and deep learning
Created a machine learning system that was implemented into a mobile application, namely the waste bank application.

Barista & Cook

2021 - 2022

Wande coffe Galery, Daerah Istimewa Yogyakarta

Serving Coffee
Maintain, Operate and Understand Coffee Tools
Maintain the cleanliness of the shop / cafe
Mixing Non-Coffee Drinks
Understanding the Cashier System

Apprentice Mechanic

2018

PT.ASTRA INTERNATIONAL DAIHATSU tbk. ,Sumatera-Selatan

Responsible and assist the main mechanic in carrying out the services that will be carried out on the vehicle
Ensure the vehicle is safe to be driven by the customer after service

Portfolio

a collection of works documenting the development of the work itself.

Object Tracking Using Deep Learning on the R-SCUAD Humanoid Robot Based on Robot Operating System

Detection of 3 objects, namely robot, ball, and goal. Using semantic segmentation on YOLOv8.Implementation on a humanoid robot using Jetson Orin NX and Logitech c922 camera as detection input.Implementation on the Robot Operating System (ROS) platform as a data sending bridge from the Python language as a detection which then if detected will send a value of 0 or 1 which will be executed in the main humanoid robot program using the C++ language.comparing 5 different pretrained models semantic segmentation on YOLOv8.

Classification of organic and inorganic waste utilizing Convolutional Neural Network (CNN) methodology

The Project Classification of organic and inorganic repository, part of the Bangkit 2023 program, likely focuses on applying machine learning techniques to classify patient outcomes as "Healthy" or "Not_Healthy" upon discharge. The project involves collecting a relevant dataset, splitting it into training and testing sets, and developing a convolutional neural network (CNN) model. The performance is evaluated using accuracy metrics to ensure the effectiveness of the classification system. This effort integrates data science practices with real-world applications to solve health-related classification challenges.

Communication UDP for Robot Humanoid

The basestation-robot project focuses on enabling communication among robots within a team to prevent collisions during tasks such as ball games. Utilizing Node.js for programming, the system employs ports for data transmission between robots. The received data is then processed by the main algorithm, allowing humanoid robots to coordinate their movements and ensure seamless interaction. This setup integrates real-time communication and robust algorithmic execution, emphasizing teamwork and collision avoidance in dynamic robotic environments.

Trafic Light Detection

The Trafic_Light_Detection project involves detecting traffic lights in real-time using advanced computer vision techniques. Designed for use in autonomous systems, the project processes video feeds to identify traffic light states (red, yellow, green), providing critical input for navigation decisions. Leveraging deep learning models, this system ensures high accuracy and reliability. Its implementation demonstrates expertise in machine learning, image processing, and real-world applications of AI for smart transportation systems.

ROS Point Cloud

The ROS_PointCloud project focuses on processing and analyzing 3D point cloud data using ROS (Robot Operating System). It enables applications such as object recognition, environmental mapping, and robotic navigation. The project demonstrates proficiency in handling sensor data, particularly from LiDAR or depth cameras, to build detailed spatial representations of surroundings. By leveraging ROS, the system integrates effectively with robotic frameworks, showcasing expertise in advanced robotics, data visualization, and autonomous systems.

Warehouse System

The Warehouse System project is a comprehensive software solution designed to enhance warehouse operations, including inventory management, order processing, and logistics optimization. The system incorporates advanced features such as real-time stock tracking, automated alerts for restocking, and integration with shipping services for streamlined logistics. With data-driven insights and an analytics dashboard, the platform enables effective decision-making and operational efficiency. This project showcases expertise in backend development, database design, and workflow automation, demonstrating its value for modern warehouse management.

Gyro Orientation

The Gyro_OLED project integrates a gyroscope sensor with an OLED display to visualize real-time motion data. It uses microcontroller programming to capture angular velocity and orientation from the gyroscope, which is then displayed dynamically on the OLED screen. This project highlights skills in sensor interfacing, embedded systems programming, and real-time data visualization, making it suitable for applications in robotics, IoT, and motion tracking systems.

Smart Doorlock

The "Smart-Doorlock" project on GitHub aims to develop a smart door locking system, likely leveraging microcontroller or IoT technologies. Key features include remote control capabilities, emphasis on security with potential for integration into smart home systems, and a user-friendly interface, possibly through mobile or web applications. The project's technology stack may involve microcontrollers like Arduino or ESP8266/ESP32, programming languages such as C/C++ or Python, and communication protocols like Bluetooth, Wi-Fi, or MQTT. For precise details, refer to the repository's documentation and source code.

Website Ecommerce

The project to be focused on developing an e-commerce web application. It likely aims to facilitate online shopping experiences by providing features such as product browsing, shopping cart management, checkout processes, and possibly user account management. The technology stack might include web development frameworks like React.js or Vue.js for the frontend, and Node.js or Django for the backend, along with databases like MongoDB or PostgreSQL. Detailed documentation and source code within the repository would provide more comprehensive insights into its functionalities and implementation specifics.

SQL Injection

The project to focus on SQL injection vulnerabilities. It likely involves demonstrating and testing methods to exploit SQL injection flaws in web applications. The repository may contain code examples, tools, or tests aimed at educating developers and security professionals about the risks of SQL injection and how to prevent such vulnerabilities in their applications. Detailed exploration of the repository's contents would provide specific insights into its educational or testing purposes related to SQL injection.

Real-Time Face Detection

The project focus on real-time face detection. It likely involves developing software that can detect human faces in live video streams or static images in real-time. The technology stack may include computer vision libraries like OpenCV or TensorFlow for the detection algorithms, possibly implemented in Python or another suitable programming language. The project aims to demonstrate the capability of detecting faces accurately and promptly, showcasing potential applications in security systems, image processing, or interactive technologies. Detailed exploration of the repository would provide specific insights into its implementation details and functionalities

Installation Opencv with Shell

The Installation-Repo project provides a streamlined repository setup for managing and deploying software installations efficiently. It includes scripts and tools to simplify dependency handling, environment configuration, and project deployment. The project demonstrates strong skills in automation, scripting, and system management, offering practical solutions for maintaining consistent installation processes across multiple environments.