Current and Completed Projects
Optimization of Low Resolution Face Images by using DeepLearning
This project is funded by Ministry of Higher Education Indonesia under the BIMA Fundamental Grant scheme. The purpose is to optimize the algorithm for detecting low resolution face images under various situation and conditions to provide robust and accurate detection of face images surrounded any national vital objects.
Fullstack Web Application
The power is in a teamwork. Nobody can be a hero by himself, solo is not a good idea this time. Ability to convey idea, to digest peer opinions, to execute elegantly is the key to finalize this project smoothly and functionally. UI/US design, testing, monorepo, cloud infrastructure, frontend and backend skills are pushed upto unlimited limit.
Simple e-Commmerce
Tailoring frontend and backend is the key purpose of this project. Starting from project management and development, software architecture and UI/UX designing. Complex client state management carefully needs to handle, frontend and backend auth implementation, security issues. Full stack app framework is fully equipped for this project.
Information API
Backend is get rocked. Sweet and smooth UI without any functionalities is nothing. Man behind the screen, a forgotten hero is now taking its roles. JavaScript is the engine to orchestrate all elements that connect database, query by SQL or even NoSQL, PostgreSQL, and database ORM with Prisma. Docker is always there to home everything along with deployment process.
Task Management
React as one of the most popular and easy-to-use frontend libraries is extensively employed for the project. The capabilities of React handling JavaScript modules, runtime, styling, hooks, state, data fetching, data validation, routing, CSR and package management is greatly utilized. TypeScript is also used to make programming life easier.
Address Book
This project fully exploit all functionalities provided by JavaScript: data structure and data fetching, async functions, storage management, web API, DOM, form usage, programming paradigms, functional programming, object-oriented approach, console engagement, variables, types, debugging, JS globals, properties, and methods.
Personal Website
Design and develop personal website with Figma, then implement in HTML, CSS and JavaScript. Website provide information on About, Skills, Projects, Working Experiences, and Contributions of the author. At this phase, skills on using VS Code, manage projects with GitHub and do some documentation with Markdown are developed.
Quantitative Defect Characterization for Passive Thermography Application
This research proposes a new method for characterizing subsurface defects in high temperature wall by means of passive thermography. The method enables a fast and reliable quantitative defect characterization. Ten informative parameters have been proposed for this purpose based on temperature behavior on the outer surface wall of a petrochemical boiler. Multilayer perceptron neural network has been trained to characterize quantitatively three defect properties: thickness, length, and width of the defect. From an extensive testing of the method, it has been shown that the method is able to characterize the defect properties, which actually we believe is a new approach in passive thermography application.