My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

Legal NER

Legal NER

This application implements BERT to automatically identify legal entities in Indonesian court decision documents. The system is designed to facilitate the extraction of entities such as names, institutions, and legal terms, which are important in the processing and analysis of legal documents.

Python
PyTorch
Gradio
BERT
Tani Tama Capstone Project

Tani Tama Capstone Project

In the Bangkit program, I developed a Convolutional Neural Networks (CNN) based Machine Learning model for the C23-PC369 project. My responsibilities included designing and training the CNN model and creating API endpoints using Flask for integrating the model into applications. This experience enhanced my skills in Machine Learning and web-based system development.

Python
Tensorflow
Pandas
Numpy
Docker
Flask
Sentiment Analysis of Surabaya Zoo

Sentiment Analysis of Surabaya Zoo

This project is a college assignment from my friend, I was told to help make it so I helped make the code only without implementing it into the website. this project is entitled sentiment analysis of Surabaya zoo reviews using Support Vector Machine (SVM). the dataset used itself from Google Maps reviews, the data is taken by crawling.

Numpy
Pandas
Matplotlib
Python
Scikit-Learn
Record Keeping System of Savings and Loan Cooperative

Record Keeping System of Savings and Loan Cooperative

This project is a request from my brother who works at a savings and loan cooperative in my home area. the system in this project can create letters by simply inputting the data through the form so that the letter is ready to print. the creation itself uses PHP version 8 and Laravel Version 9.

Laravel
Mysql
Bootstrap
JQuery
Price Range Classification Based on Mobile Phone Specifications

Price Range Classification Based on Mobile Phone Specifications

This project is the final project of the Datamining course with the title Classification of Price Ranges Based on Mobile Phone Specifications using 3 methods namely KNN, Decission Tree, and Naive Bayes. and implemented using the Streamlit library.

Streamlit
Numpy
Pandas
Matplotlib
Python
Scikit-Learn
Super Banana

Super Banana

Super Banana is a final project of the Software Project course, this project is done in groups of 4 people. This project raises the problem of a krispi banana seller who is very in demand so that many of the consumers have to queue very long resulting in consumers being bored waiting for it. therefore a krispi banana purchasing system was made called super banana, with this system consumers can buy krispi bananas from their boarding house without having to be bored waiting for orders. making this system using PHP version 8 and also laravel version 9.

Laravel
Mysql
Bootstrap
JQuery