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Sisi frontend untuk sistem penentu keputusan kelayakan seseorang mendapatkan pinjaman dengan metode fuzzy tsukamoto

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gdapriana/kelayakan-pinjaman-frontend

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Loan Worthiness Frontend

web.png

🏦 Project Overview

A modern web application for loan eligibility prediction using Next.js, Tailwind CSS, and Shadcn/UI. This frontend interfaces with the backend to provide an intuitive loan assessment experience.

🔗 Project Links

🚀 Technologies Used

  • Framework: Next.js
  • Styling: Tailwind CSS
  • Component Library: Shadcn/UI
  • Deployment: Vercel

📦 Features

  • Loan eligibility prediction
  • Intuitive user interface
  • Responsive design
  • Real-time backend integration

🛠️ Getting Started

Prerequisites

  • Node.js (version 18 or later)
  • npm or yarn

Installation

  1. Clone the repository
git clone https://github.com/your-username/kelayakan-pinjaman-frontend.git
  1. Install dependencies
cd kelayakan-pinjaman-frontend
npm install
# or
yarn install
  1. Create a .env.local file with the following variable:
NEXT_PUBLIC_SERVER=https://kelayakan-pinjaman-backend.vercel.app
  1. Run the development server
npm run dev
# or
yarn dev

📂 Project Structure

kelayakan-pinjaman-frontend/
│
├── components/           # Reusable UI components
│   └── ui/               # Shadcn/UI components
├── app/                  # Next.js app directory
│   ├── page.tsx          # Main page component
│   └── layout.tsx        # Global layout
├── lib/                  # Utility functions
├── styles/               # Global CSS
└── public/               # Static assets

🤝 Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

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Sisi frontend untuk sistem penentu keputusan kelayakan seseorang mendapatkan pinjaman dengan metode fuzzy tsukamoto

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