
I am a fresh graduate with a Bachelor' degree in Informatics Engineering from Universitas Maritim Raja Ali Haji. I am capable of working effectively both independently and in a team environment.
I have hands-on experience in frontend development using React.js and Next.js, as well as backend development with Express.js and Node.js. My database expertise includes MySQL, MongoDB, and PostgreSQL.
On the fullstack side, I have worked with CodeIgniter and Laravel, and in the DevOps with Docker. I have also been directly involved in developing mobile applications using React Native. I am highly passionate about technology and continuously eager to learn and adapt to the latest technology.
As a Fullstack Developer, I contributed to developing the company’s web application focused on software development, including a CMS Website with GIS integration. My responsibilities and accomplishments in this role include:
As a Web Developer, I contributed to developing the provincial portal website, built an online internship registration system, and collaborated with the team to create OPD templates for institutional use. My responsibilities and accomplishments in this role include:
As a Fullstack Developer, I contributed to developing an Internal Quality Audit System for an institution at Raja Ali Haji Maritime University (UMRAH), Tanjung Pinang. I led this project by conducting direct discussions with the client at the institution. My responsibilities and accomplishments in this role include:
As a Fullstack Developer, I developed Literasi Kita, an application that provides online books and learning videos to foster reading interest among children under 18. The app enables easy access without the need to purchase physical books. My responsibilities and accomplishments in this role include:
As a part-time fullstack developer, I was responsible for creating SICERDIK, a web-based platform that simplifies and digitizes the student school transfer process. My responsibilities and accomplishments in this role include:
Bachelor Degree of Informatics Engineering
Universitas Maritim Raja Ali Haji
Grade Point Average (GPA): 3.59
Thesis:
Mangrove Type Identification Using Faster R-CNN — Case Study in Bintan Island
Journal:
Deep Learning-Based Mangrove Classification: A Performance Comparison of YOLOv11, Faster R-CNN, and SSD Models
It's My Projects







