thesis

Web-Based Balinese Language Text Classification using MNB.

Prerequisites

This project is basically a Django app with Tailwind CSS, so you need:

• Python 3.10
• uv
• npm

You can easily take a look into the project using Docker, so optionally you need:

• Docker
• docker-compose

Installation

1. Clone the repository:

git clone https://github.com/putuwaw/thesis.git

2. Pull the submodules (thesis-ml). Note that submodules here are using SSH, learn more about setup SSH for GitHub here:

git submodules update --init

3. Create development env file and change the variable especially for database:

cp .env.example .env.development

4. Using Django and Tailwind CSS:

Setup environment and install packages

uv sync --dev

Run Django and watch Tailwind:

make django-dev
make tw-watch

5. You can also use Docker:

If you are using Docker, you don't need to create env. Run Docker container, migrate database, collect static files:

docker compose -f compose.dev.yml up -d --build
docker compose -f compose.dev.yml exec web python manage.py migrate --noinput
docker compose -f compose.dev.yml exec web python manage.py collectstatic --noinput

Acknowledgments

I would like to express my deepest gratitude to all those who have supported and contributed to the completion of this thesis.

• Mr. Cokorda Pramartha as my supervisor, for his guidance and support.
• Balinese language counselor for assisting with data annotation.
• Family, partner, and friends for their encouragement and motivation.