Fresh graduate in Informatics Engineering with a focus on front-end development and working proficiency across the full stack. Hands-on experience building responsive web interfaces with React.js and Next.js, and developing RESTful APIs with Node.js and Express.js.
Comfortable working with modern tooling (TypeScript, Tailwind CSS, Git) and collaborating in small agile teams. Proven capstone and internship experience across authentication, booking/search features, admin dashboards, payments/webhooks, and real-time sentiment prediction deployments.
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A clickable front-end prototype built to win a client proposal for a bakery
business, covering point-of-sale checkout, inventory, purchasing, production and
recipes, multi-branch and warehouse stock, employee management, expiry tracking, and
reporting with audit logs. Built with Next.js, TypeScript, and Tailwind CSS using
React Context over mock data, so the full workflow could be demonstrated before any
backend investment.
Trained and compared four deep learning architectures — CNN, LSTM, BiLSTM, and a
CNN+BiLSTM hybrid with attention — to classify sentiment in Indonesian-language
social media posts about electric vehicles. Built the complete Indonesian NLP
pipeline including text cleaning, Sastrawi stemming, and lexicon-based quantile
labelling. The hybrid model reached 75% accuracy and 0.76 macro F1, and I deployed
it as a live Streamlit application rather than leaving it as a notebook.
A web platform for browsing concerts and booking tickets, built with a team of four
as the capstone project for the Dicoding Indonesia program. I built the front-end in
React and Tailwind CSS — ticket search and filtering, the booking flow, and
authenticated user areas — and wrote the Node.js/Express/MongoDB API endpoints those
screens consumed. Launched publicly at s-ticket.online and awarded Best Capstone
Project.
A tournament management dashboard covering the full competition lifecycle:
multi-step athlete registration, team and quota management, tournament format
selection, draw and seeding, and live match brackets with real-time score tracking.
Implemented from a Figma design using Next.js, TypeScript, and Tailwind CSS with
Radix UI primitives, backed by Supabase, with TanStack Query for data fetching and
Recharts for statistics.
A storefront and admin platform for an agricultural products business. Customers
browse products, manage a cart, and check out through Midtrans payment gateway, with
order status updated via webhook callbacks and confirmations sent as transactional
email. The admin side handles product, order, and user management. Built with
Next.js, Prisma, and Supabase, with NextAuth for authentication and Zustand for
client state.
A storefront and admin platform for an agricultural products business. Customers
browse products, manage a cart, and check out through Midtrans payment gateway, with
order status updated via webhook callbacks and confirmations sent as transactional
email. The admin side handles product, order, and user management. Built with
Next.js, Prisma, and Supabase, with NextAuth for authentication and Zustand for
client state.
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