Hi there, I am

Retno Tri Aprillia

Frontend Developer

A front-end developer with a passion for clean design and data-driven thinking

Projects

retno

About

Hi! I am Retno Tri Aprillia, a passionate Frontend Developer with a strong enthusiasm for data and technology.

I have over 3 years of experience in web development, starting from 2020. My work includes building responsive and user-friendly websites, particularly in blockchain-related platforms and information system projects.

Since 2021, I have also been exploring the field of Data Science to deepen my understanding of data and how it can enhance digital solutions. I am actively looking for opportunities where I can contribute in frontend development, data analysis, or ideally in a role that combines both

Bachelor of Informatics Engineering

Sriwijaya University

GPA : 3.86/4.0;

Skills

Here the tools and technologies I used

html5.svg

HTML

html5.svg

CSS

html5.svg

Javascript

html5.svg

Tailwind

html5.svg

Laravel

html5.svg

Codeigniter

html5.svg

React

html5.svg

Next

html5.svg

PostgreSQL

html5.svg

SQL

html5.svg

Python

html5.svg

Rust

Projects

Here are the projects that I've built.

Featured Project

VoIP Bot

Created as a Telegram bot, this tool introduces VoipV2—a blockchain-powered communication platform—offering secure messaging, presale access, and community links.

  • GO
  • React JS
  • Ngrok
  • JS

Featured Project

SC

Created for Seacart to showcase seafood products and enable user interaction via WhatsApp and product views.

  • NextJS
  • Tailwind

Featured Project

Water Quality

Created with a sleek dark UI, VirtuBlock offers easy navigation and core crypto features.

  • Naive Bayes
  • PSO
  • Streamlit
  • Python

Featured Project

Nilai Impor Migas

Created with a structured layout, this app forecasts Indonesia’s oil and gas imports using Fuzzy Time Series and PSO from uploaded Excel data.

  • Markov Chain
  • PSO
  • Streamlit
  • Python

Featured Project

Audit Generator

Created with a clean layout, this tool enables users to upload Excel datasets for audit workbook generation.

  • TF-IDF
  • Streamlit
  • Python

Created with a clean UI, this app enables air quality classification using K-NN based on uploaded Excel data.

  • KNN
  • Streamlit
  • Python

Get In Touch

I'm looking for opportunities to work as a Frontend Developer, Analyst, or in fields related to Data. Please don't hesitate to reach out to me!

Click me in here!