Fullstack Developer
Bridging World to software | Building The Future
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DIMAS ARDIMINDA EP
Fullstack Developer
[ About Me ]
I am a passionate programmer exploring various domains of technology. From developing server system operations to building mobile applications used by many people, I am always challenged to create innovative solutions.
My journey in the programming world began with a high curiosity about how technology works. Now, I have mastered various skills ranging from hardware programming with Arduino and ESP32, mobile development with Flutter Native, to building complex fullstack systems.
In the field of cybersecurity, I focus on penetration testing and securing web applications from various threats. I am also actively involved in managing servers, performing deployments, and implementing CI/CD pipelines to ensure applications run optimally.
"Write code that humans can read, and machines can execute efficiently." I believe that good code is not only functional, but also easy to maintain and scale for the future.
Tech Stack
Languages
Frameworks & Libraries
Databases
DevOps & Tools
[ Experience & Journey ]
Fullstack Web & Mobile Developer (Freelance)
Developing various web and mobile applications for clients and personal projects. Focused on building scalable systems, modern UI/UX, secure backend services, and efficient database architecture.
Mobile Developer Intern — PT. Adama Digital Solutions
Contributed to mobile application development within a professional software team environment. Gained experience in real-world project workflows, code collaboration, and mobile architecture best practices.
Mobile & Backend Developer
Built cross-platform mobile applications and backend services using REST and GraphQL APIs. Focused on performance optimization, scalable backend logic, and maintainable application structure.
Programming Journey Begins
Started learning programming fundamentals using Python, exploring networking concepts, databases, and system security. Built early projects while developing strong problem-solving foundations.
[ CERTIFICATION AND achievement ]
Fundamentals of Data Visualization
Fundamentals of Data Science
Silver Medal - Lomba Design Pembelajaran Berbasis IT
Participant - Hackfest Hackathon : Build to Billions 2025
Funding Program - Community Service Field
[ Featured Projects ]
Website
Sitavo - Faculty of Vocational Final Project System
Sitavo is a system that facilitates the management of final project assignments for students of the Faculty of Vocational. This system allows students to submit proposals, lecturers to provide guidance, and administrators to efficiently manage final project data. Website can be accessed at https://sitavo.vokasium.app
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SIMADUN - Doctoral Information System
Simadun is a website that aims to handle doctoral student administration at State University of Malang, specifically the Department of Electrical Engineering and Informatics. This website is designed to provide convenience for doctoral students in managing academic data, guidance schedules, and other administration related to the doctoral program.
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Do-Dhikir - Daily Dhikir and Prayer Reminder Application
Do-Dhikir is a website-based system designed to help users in daily dhikir and prayers. This application provides automatic reminder features, a complete collection of prayers and dhikir, as well as daily statistics to monitor user's consistency in worship. The website can be accessed at https://do-dzikir.vercel.app/. This website is still in the open source development process.
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Eduvoka - Adaptive E-Learning Platform with Learning Analytics & AI
Eduvoka is an adaptive e-learning platform designed to provide a personalized and effective learning experience for users, especially for UTBK preparation. This platform uses Learning Analytics and Artificial Intelligence (AI) technology to analyze user learning behavior, identify learning needs, and provide content recommendations that suit individual learning styles. With innovative features such as progress tracking, performance analysis, and personalized content recommendations, Eduvoka aims to improve learning outcomes and help users achieve their educational goals more efficiently.
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Sinusi - NU
Sinusi is a website resulting from collaboration between UM and LP MA'ARIF NU. This website is designed to provide information on Career Counseling, Psychologist Consultation, Marriage Counseling, Parenting Consultation, and Health Consultation.
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Zeatis - Landing Page
Zeatis is a website designed to display the landing page for the Zeatis PKM Program at UM. This website aims to provide information about the Product, benefits, and advantages of Zeatis to consumers. With an attractive and informative design, this landing page is expected to increase interest of potential users in Zeatis products.
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CURIO - Personalized Curation Check System
CURIO is a website designed to provide personalized curation check services to users. This website uses artificial intelligence technology to analyze user preferences and needs, and provide curation recommendations that suit their interests and goals. With innovative features such as user behavior analysis, personalized content recommendations, and a user-friendly interface, CURIO aims to improve user experience in finding relevant and useful content in accordance with their interests.
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SIPRO - Innovation in Digital Learning Media for Combinatorics Material
SIPRO is a website designed to provide innovative digital learning media on combinatorics material. This website provides various interactive features such as practice questions with AI, personalized material explanations with 3 personalities (VIRTUAL, KINESTHETIC and AUDITORY), and in-depth explanations to help students better understand combinatorics material. With an attractive and easy-to-understand approach, SIPRO aims to improve student understanding of combinatorics concepts and facilitate a more effective learning process.
GDGGOC - Google Developer On Campus UM
GDGGOC is a website designed to provide information about activities and programs organized by Google Developer On Campus UM. This website provides features such as event schedules, registration, and quizzes to help students develop their skills in the field of technology.
Mobile
Harvest Recording
Harvest Recording is a mobile-based application designed to help farmers manage and monitor their harvesting/cultivation processes. This application provides features to record harvest schedules, monitor plant/crop conditions, and provide agricultural information and tips. With a user-friendly interface, Harvest Recording makes it easier for farmers to optimize their harvest results and increase overall agricultural productivity.
Juang App
Juang App is an application developed to monitor and manage the health development of children aged 3-5 years. This application provides features to record physical growth, stunting evaluation, and provide information and tips about child health. With a user-friendly interface, Juang App makes it easier for parents and caregivers to monitor and support their children's development more effectively.
Capital Venture
Capital Venture is a mobile application designed to help individuals develop their business. This application provides features for capital loans, transaction recording and more. With a user-friendly interface, Capital Venture makes it easier for users to manage their business finances more effectively and efficiently.
Medhub
Medhub is an application (design slicing) aimed at honing skills in developing mobile applications. Essentially, this application has medicine purchase features, intermediary services and more like an e-commerce application. With an intuitive interface, Medhub helps users learn and practice creating high-quality mobile applications.
Pumping Bottles
Pumping Bottles is a mobile application developed to help nursing mothers schedule breast pump times. In addition, this application provides features to record baby's development such as weight. With a user-friendly interface, Pumping Bottles makes it easier for nursing mothers to manage their pumping time more effectively and support a healthy breastfeeding process.
Sali (Nusantara Online): The Role of Digital Innovation and AI in Revitalizing Traditional Transportation
Sali (Nusantara Online) is a mobile application designed to revitalize traditional transportation in Indonesia through digital innovation. This application provides a platform that connects traditional transport drivers with passengers, while offering innovative features such as online booking, real-time vehicle tracking, and digital payment systems. Sali aims to improve operational efficiency, provide a better user experience, and support the sustainability of traditional transportation in the digital era.
Weather Loc
Weather Loc is a mobile-based application designed to provide accurate and real-time weather information to users. This application uses data from various trusted sources to provide weather forecasts, temperature, humidity, and other atmospheric conditions at the user's location. With an intuitive interface and easy-to-use features, Weather Loc helps users plan their activities better based on current weather conditions.
Diego - Diet On The Go
Diego - Diet On The Go is a mobile-based application designed to help users manage their eating patterns. This application provides features to record food intake, calculate calories, and provide diet recommendations that suit user needs. With a user-friendly interface, Diego makes it easier for users to achieve their health goals more effectively.
Digiboard Math Game
Digiboard Math Game is a mobile-based application designed to help children learn mathematics in a fun and interactive way. This application offers various math games designed to improve children's counting skills, problem-solving, and logic. With an attractive interface and educational features, Digiboard Math Game makes the process of learning mathematics more fun for children.
ML/AI
Healthy Heart: Data Science Analysis for Early Detection of Heart Disease
Healthy Heart is a project that uses data science analysis to detect heart disease early. This project uses data taken from Kaggle. By using machine learning techniques and decision tree algorithms, Healthy Heart can identify risk factors for heart disease to help in more accurate disease diagnosis. This project aims to increase awareness about heart health for early detection of heart disease.
OPENPOSE PREDICT WEIGHT
OPENPOSE PREDICT WEIGHT is a project that uses OpenPose technology to predict a person's weight based on their body posture. This project uses cv2, numpy and argparse packages as tools used to manage images and tensorflow as a framework for building prediction models. By using OpenPose, this project can detect and analyze a person's body posture to provide an estimate of ideal body weight. This project aims to provide an innovative solution in the field of health and fitness by leveraging computer vision technology.
Student Graduation Prediction with Machine Learning
This project uses machine learning to predict student graduation based on academic data such as GPA Semester 1 - 4. By using the KNN algorithm, this project can analyze student data to provide an estimate of whether a student will graduate on time or not.
COMPARISON OF SINGLE SVM, ADABOOST-SVM AND BAGGING-SVM MODELS FOR DDoS DETECTION BASED ON NETWORK TRAFFIC DATA ANALYSIS
This project compares three machine learning models namely Single SVM, AdaBoost-SVM, and Bagging-SVM for detecting DDoS attacks based on network traffic data analysis. Using relevant datasets, this project evaluates the performance of each model in identifying DDoS attacks with high accuracy. This project aims to provide insights into the effectiveness of various machine learning approaches in improving network security against DDoS attacks and provide references for further research.