My inspiration in advanced technology: Technology can fix everything except humans; they have to fix themselves.
I am a graduate of Electrical Engineering from Sriwijaya University with work experience in various fields, such as electronics technician, trainer, and curriculum and content designer for Artificial Intelligence (AI) disciplines, including Computer Vision (CV), Natural Language Processing (NLP), and Reinforcement Learning (RL), both for foundational and mastery programs. With more than 3 years of work experience in AI, I have a strong understanding of AI technology and its application in various industrial sectors.
I also take on freelance work by creating robotics projects, working as a C programming language programmer for automation tools, designing PCBs using Eagle, and participating in AI-based projects such as detecting hotspot points on solar panels using Computer Vision and Python, as well as object detection and classification using YOLO and other algorithms. Additionally, I have worked on several projects based on LLM and Stable Diffusion, all of which I deployed on my Hugging Face Space.
Activities and Hobbies
My activities and hobbies are closely related to exploring the latest and most in-depth technologies in various fields. I am passionate about continuously learning the latest developments in Machine Learning and Deep Learning algorithms, such as Kolmogorov Arnold Networks (KAN). I often read articles and scientific journals to stay up-to-date with the latest trends and innovations in the tech world.
I also enjoy working on embedded system projects using devices like Raspberry Pi, Arduino, and ESP32. In these projects, I write optimized code for various applications, ranging from home automation to robotics.
Additionally, I love implementing and deploying AI projects on platforms like Hugging Face Space. I have worked on several projects using stable diffusion and focused on developing code that can run on edge computing with fast and efficient inference. These projects often involve using Computer Vision techniques for object detection and classification with advanced algorithms like YOLO.
In my leisure time, I enjoy reading books, writing articles in Medium, and fishing. These activities help me relax and provide a balance to my tech-focused endeavors.
Finally, with a holistic approach to technology, I am always looking for ways to expand my knowledge and skills through personal and collaborative projects. My deep interest in technology not only enriches my knowledge but also gives me satisfaction in creating innovative and effective solutions.
Creating Artificial Intelligence (AI) content materials for Kampus Merdeka for Jobs Batch 6 (KM 6).
Creating Artificial Intelligence (AI) quizzes for Kampus Merdeka for Jobs Batch 6 (KM 6).
Developing a curriculum and materials about Data Science, Computer Vision, Natural Language Processing, Large laguage Models, Reinforcement Learning, Roboticd, and Internet of Things
Inputting quizzes into the Learning Management System (LMS) for Artificial Intelligence (AI) for Kampus Merdeka for Jobs Batch 6 (KM 6).
Creating content materials on Sharing Large Language Models (LLMs) for Artificial Intelligence (AI) for Kampus Merdeka for Jobs Batch 6 (KM 6).
Presenting sharing materials on LLMs, including theoretical concepts of LLMs, Multimodal, Retrieval-Augmented Generation (RAG), Hugging Face Space, Stable Diffusion, deploying LLM-based chatbots, deploying Stable Diffusion, and the ethics and morals of using Stable Diffusion.
Coordinating with the Academic Coordinator and Project Manager of AI KM to ensure the smooth operation of Kampus Merdeka for Jobs Batch 6 (KM 6) classes.
Creating and designing the Semester Learning Plan for Kampus Merdeka for Jobs Batch 6 (KM 6).
Preparing the Kampus Merdeka for Jobs Batch 6 (KM 6) course in the LMS.
Coordinating with the Academic Coordinator and Project Manager of Kampus Merdeka Cloud to prepare the KM Cloud course in the LMS.
Coordinating and conducting corrections and reviews with the Orbit Skills Center Content Developer Coordinator on materials created by the content team.
Coordinating with the Academic Coordinator and Manager of Orbit Guru Mengajar (OGM) to assist in revising materials.
Creating and reporting progress reports on OSC content, AI KM, KM Cloud, and OGM to the program director.
Serving as a Subject Matter Expert for materials needed for KM AI, KM Cloud, OGM, and OSC content.
Handle 20-40 students in class session for Kampus Merdeka program Batch 1 & Batch 2.
Teaching materials on Introduction to AI and AI domain materials such as Data Science (DS), Natural Language Processing (NLP), Computer Vision (CV), Reinforcement Learning (RL), Robotics, Internet of Things (IoT), and Deployment.
Mentoring Artificial Intelligence (AI) application for student final projects.
Teaching classes, sets, groups, or individual students, and setting tasks to be undertaken both inside and outside the classroom.
Planning and preparing courses, schemes of work, and individual lessons based on the content and curriculum set by the content & curriculum team.
Marking and assessing students' work and recording their development and progress.
Evaluating and reviewing one's own teaching methods, materials, and schemes of work, and making changes as appropriate.
Maintaining an attractive, engaging, fun, and stimulating classroom environment.
Staying up to date with current educational thinking and practices, improving pedagogy and understanding of students' behavior and development through study, attendance at courses, workshops, and meetings, and participating in appraisals and reviews of one's work arranged by the Academic Coordinator.
Bachelor degree of Electrical Engineering | GPA: 3.17/4.00
Honours and Awards
Scope
Description
National
Speaker in National Webinar on AI Applications in Renewable Energy organized by BEM KM Tadulako University, October 2023
National
Speaker at Tesseract Act 2 Webinar - Application and Utilization of AI in the Telecommunications Industry organized by the D3 Telecommunications Technology Student Association of Telkom University, June 2021
National
Speaker at the 2020 National Futura Webinar - Unveiling the Reality of Indonesia's Technology Landscape Amidst the Pandemic as a Preparation for the Future, organized by the Electrical Engineering Student Association of Universitas Padjadjaran (UNPAD) Jatinangor, October 2020
International
Conference Presenter in the 2019 International Confrence on Information System & Technology, STMIK AKAKOM Yogyakarta, December 5-6, 2019, Yogyakarta
National
Speaker at the National Seminar Physics Expo II - Optimizing the Role and Strategy of the Millennial Generation in Facing the Challenges of the Industrial Revolution 4.0, organized by the Physics Student Association of Bangka Belitung University (UBB), October 2019
National
Speaker at the National Seminar "The Secret Journey of Startup: Warung Sains Teknologi (warstek.com)," organized by Buana Perjuangan University (UBP) Karawang, October 2019
National
Speaker at the General Seminar "Enhancing Human Mindset in Facing IoT in Industry for Indonesia Emas 2045," organized by the Electrical Engineering Student Association - Singaperbangsa Karawang University (UNSIKA), October 2019
National
Speaker at the National Seminar and Literacy Workshop - "Ethosains and Its Role in Strengthening the Nation's Character," organized by the Physics Student Association - Jambi University, April 2019
National
The Second Place Winner, issued by International Indonesian Scholars Association - Ikatan Ilmuwan Indonesia Internasional, January 2018
Participation in I-4 SCIENTIFIC WRITING AWARDS with a written work titled "Development of Experimental Power Reactor (RDE) as a Form of Human Resource Preparation to Meet the Energy Resource Challenges of 2045"
National
Certificate of Presenter, issued by the Faculty of Engineering, Sriwijaya University, November 2017
Certificate as a presenter at the national seminar on research and community service AVoER-9
National
Certificate of Appreciation, issued by Ikatan Ilmuwan Indonesia Internasional, January 2017
with the topic "EKTROMAGNETIK DRIVE (EM DRIVE) PROVIDES A NEW STEP IN SPACE EXPLORATION"
International
Second Runner Up - Trinity College Fire Fighting Home Robot Contest (TCFFHRC) 2016, issued by Trinity College, Connecticut - USA, March 2016
National
The First Place Winner of the Indonesian Robot Contest (KRI) Division of Indonesian Fire Extinguishing Robot Contest (KRPAI) Legged, issued by the Ministry of Education and Culture Directorate General of Higher Education (DIKTI), June 2015
National
First Runner Up - Indonesian Robot Contest (KRI) Division of Indonesian Fire Extinguishing Robot Contest (KRPAI) Legged, issued by RISTEKDIKTI - MINISTRY OF RESEARCH, TECHNOLOGY, AND HIGHER EDUCATION DIRECTORATE GENERAL OF LEARNING AND STUDENT AFFAIRS DIRECTORATE OF RESEARCH AND COMMUNITY SERVICE, May 2015
Most of the projects I create are not published and are kept private due to the confidentiality of the program code. However, there are some that I have made public, and anyone is free to make improvements. Here are the places where I store my code: my GitHub repository and my Hugging Face Space.
Object Detection using YOLOv10
This project is about deploying a new YOLO architectures model in Computer Vision for Object Detection using Streamlit framework in Python.
RepositorySpace Demo Apps
Detect vehicle license plate numbers and their region codes in Indonesia using Multimodal LLMs
Project Reading vehicle license numbers using computer vision techniques like OCR has its own difficulties and challenges. In this Project, I casually created a simple project to help solve this problem using multimodal gemini.
RepositorySpace Demo Apps
Q&A Document using RAG and LangChain with Gemini - Pro
Project Q&A Document using Retrieval-Augmented Generation (RAG) and LangChain with the Gemini - Pro model is an advanced approach to answering questions based on specific documents. This combination leverages the power of retrieving relevant information from documents and the capabilities of natural language models to generate high-quality answers.
RepositorySpace Demo Apps
Fast Lcm Lora Sdv1-5 T2I Streamlit
Project Fast LCM LoRA SDV1-5 Text to Image Streamlit is an advanced application that allows users to quickly and efficiently convert text into images using Low-Rank Adaptation (LoRA) technology and the Stable Diffusion V1-5 (SDV1-5) model. This application is designed to deliver high-quality visual results in a short time, leveraging Streamlit's interactive interface for ease of use. With the capability to handle various types of text inputs, this tool is ideal for content creators, designers, and other professionals who need a fast and reliable solution to transform text ideas into compelling visual representations.
RepositorySpace Demo Apps
Object Detection using YOLOv9
This project is about deploying a new YOLO architectures model in Computer Vision for Object Detection using Streamlit framework in Python.
RepositorySpace Demo Apps
Face Tracking Using cvzone and PID Control with Arduino Servo Motors
This project is designed for the purpose of tracking a person's face using the cvzone library, which is developed from the mediapipe library. To ensure the accuracy of the coordinate positions, a Proportional Integral Derivative (PID) algorithm is added. As for the Arduino code, PID is also used to control the servos more accurately and is combined with an exponential filter. This filter smooths the position data before it is applied to the servos. FilteredX and filteredY are the filtered positions.
Repository
Measuring the similarity of two faces
This code is just an example and can potentially be developed further to achieve much better results. The method used measures similarity using Euclidean Distance or L2 norm.
RepositorySpace Demo Apps
Security System Using A Robot Based on Speech Recognition
Presented at the 2019 International Conference on Information System & Technology, STMIK AKAKOM Yogyakarta, December 5-6, 2019, Yogyakarta, this paper introduces an innovative security system utilizing a robot controlled via speech recognition technology. The system employs Gaussian Mixture Models (GMM) to accurately recognize and process voice commands, enabling users to interact with the robot through natural language for efficient and intuitive control. The integration of GMM ensures robust and reliable speech recognition, enhancing the system's effectiveness in real-world security scenarios. This study highlights the potential of combining robotics with advanced speech recognition techniques to create sophisticated, user-friendly security solutions.
This study describes a security system using a humanoid robot by utilizing speech recognition. The robot has two main parts, namely, Raspberry Pi 3 and two Arduino UNO R3 as a slave. This robot is designed as a combination of speech recognition and voice biometric. The instruction given by a speaker must be obeyed by the robot using servo motor. Meanwhile, for voice biometric, robot may give access to an authorized person using speech recognition. Mel Frequency Cepstral Coefficients (MFCCs), their delta, and delta-delta are used as feature extraction which is fed to a classifier, Gaussian Mixture Model (GMM). Results of this study show that the robot may recognize the speaker with an accuracy of 99.4% and 99% for 50% of testing data and 20% of testing data, respectively. Thus, this suggests that the combination of MFCC and GMM can be implemented in speech recognition for security system performed by the robot.
Trinity College Fire Fighting Home Robotics Contest (TCFFHRC) 2016
In 2016, the Trinity College Fire Fighting Robot Contest was held at Trinity College, Connecticut, USA, challenging participants to design robots capable of searching for and extinguishing fires in a labyrinth. This competition tested the participants' engineering skills and the intelligent algorithms of their robots, which needed to autonomously navigate complex obstacles, detect fire sources, and perform extinguishing actions with precision.
Robot Competition at Trinity College, Connecticut, USA 2016
Video of the robot competition held at Trinity College, Connecticut, USA in 2016.
Kontes Robot Pemadam Api Indonesia (KRPAI)- Regional Sumatra 2015
Kontes Robot Pemadam Api Indonesia (KRPAI)- Regional Sumatra 2015 di STMIK MDP Palembang
The Indonesian Firefighting Robot Contest (KRPAI) for Walking Robots - Sumatra Regional 2015, held at STMIK MDP Palembang, was a highly challenging competition for university students. They were tasked with designing and operating robots capable of navigating a complex labyrinth. The primary task of these robots was to detect the presence of fire within the labyrinth and then extinguish it effectively and efficiently. This competition not only tested the students' technical and programming skills but also their creativity and ability to face real-world challenges that simulate emergency situations. Moreover, KRPAI served as an important platform for robotic technology innovation in Indonesia, bringing together talented young developers and giving them the opportunity to showcase their skills and innovations in front of enthusiastic judges and audiences.
Kontes Robot Pemadam Api Indonesia (KRPAI)- Nasional 2015
Kontes Robot Pemadam Api Indonesia (KRPAI)- Nasional 2015 at Universitas Muhammadiyah Yogyakarta (UMY)
The Indonesian Firefighting Robot Contest (KRPAI) for Walking Robots - National level 2015, held at Universitas Muhammadiyah Yogyakarta (UMY), was a highly challenging competition for university students. They were tasked with designing and operating robots capable of navigating a complex labyrinth. The primary task of these robots was to detect the presence of fire within the labyrinth and then extinguish it effectively and efficiently. This competition not only tested the students' technical and programming skills but also their creativity and ability to face real-world challenges that simulate emergency situations. Moreover, KRPAI served as an important platform for robotic technology innovation in Indonesia, bringing together talented young developers and giving them the opportunity to showcase their skills and innovations in front of enthusiastic judges and audiences.
Kontes Robot Pemadam Api Indonesia (KRPAI)- Regional Sumatra 2017
Kontes Robot Pemadam Api Indonesia (KRPAI)- Regional Sumatra 2017 at Universitas Sriwijaya (UNSRI)
The Indonesian Firefighting Robot Contest (KRPAI) for Walking Robots - Regional Sumatra level 2017, held at Universitas Sriwijaya (UNSRI), was a highly challenging competition for university students. They were tasked with designing and operating robots capable of navigating a complex labyrinth. The primary task of these robots was to detect the presence of fire within the labyrinth and then extinguish it effectively and efficiently. This competition not only tested the students' technical and programming skills but also their creativity and ability to face real-world challenges that simulate emergency situations. Moreover, KRPAI served as an important platform for robotic technology innovation in Indonesia, bringing together talented young developers and giving them the opportunity to showcase their skills and innovations in front of enthusiastic judges and audiences.
Kontes Robot Line Follower 2014 - Sumatra Selatan
Kontes Robot Line Follower - Sumatra Selatan 2014 di Acara Gebyar Elektro Sriwijaya
The line follower robot competition is like the "Hello World" of the robotics world. It's one of the most basic and popular challenges for beginners to start their journey in robotics. In this competition, robots must follow a predetermined line on the surface, using sensors to detect the path and simple algorithms to control their movements. Although the concept is simple, this competition teaches many fundamental principles of robotics, such as sensing, actuation, and control programming. Therefore, many schools and robotics clubs use the line follower robot competition as an initial project to introduce students to the broader world of technology and engineering.
Publication
Security System Using A Robot Based On Speech Recognition (Research Paper)
Abstract
This study describes a security system using a humanoid robot by utilizing speech recognition. The robot has two main parts, namely, Raspberry Pi 3 and two Arduino UNO R3 as a slave. This robot is designed as a combination of speech recognition and voice biometric. The instruction given by a speaker must be obeyed by the robot using servo motor. Meanwhile, for voice biometric, the robot may give access to an authorized person using speech recognition. Mel Frequency Cepstral Coefficients (MFCCs), their delta, and delta-delta are used as feature extraction which is fed to a classifier, Gaussian Mixture Model (GMM). Results of this study show that the robot may recognize the speaker with an accuracy of 99.4% and 99% for 50% of testing data and 20% of testing data, respectively. Thus, this suggests that the combination of MFCC and GMM can be implemented in speech recognition for security system performed by the robot.
The electronic circuit of the entire robot system design
Electromagnetic Drive (EM Drive) Technology Offers a New Step in Space Exploration (Articles)
Space travel is long, time-consuming, and costly. Only certain institutions with substantial capital and funds can build rockets to send satellites and other space objects into space. Rocket launches are often conducted by international space agencies such as NASA (the American space agency), ESA (the European Space Agency), SpaceX (owned by Elon Musk), JAXA (the Japanese space agency), and other space agencies. Each space journey requires a large amount of fuel, which is very heavy. This is why rockets are designed with large dimensions, as much of the rocket's space is used to store fuel.
Carbon-Free Emission Nuclear Fusion Reactor Ready to Meet Future Energy Needs (Articles)
The problem of future energy scarcity must be addressed as early as possible, considering that fossil energy reserves are depleting year by year. We cannot rely on fossil energy as the main energy source forever. Electricity has become a basic necessity for modern life, whether for industrialization processes, the economy, or development processes, because without electricity, these activities cannot be carried out properly or may not be possible at all.
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i = 0;
while (!deck.isInOrder()) {
print 'Iteration ' + i;
deck.shuffle();
i++;
}
print 'It took ' + i + ' iterations to sort the deck.';
