Sandi Indika Saputra's Projects
CSS Custom.
Learn Go.
Java Repo.
Learn JavaScript.
Try using Kotlin.
Penerapan metode Random Forest dalam klasifikasi Genre Musik menggunakan ekstraksi fitur MFCC.
Sistem Pakar Diagnosis Penyakit Ibu Hamil Menggunakan Metode Forward Chaining dan Certainty Factor.
Integrasi Sistem Pakar Rule-Based untuk Diagnosis Penyakit pada Ibu Hamil.
Klasifikasi Musik Berdasarkan Genre Menggunakan Metode Weighted K-Nearest Neighbor.
Klasifikasi Musik Berdasarkan Genre Menggunakan Metode Naive Bayes.
Image Based Steganography with Cryptographic Protection.
Implementasi Metode Logistic Regression dalam Analisis Sentimen Twitter Terhadap Perkembangan AI ChatGPT.
Personal static websites built with HTML, CSS and JavaScript.
Modern UI/UX website, developed using React.js and Tailwind CSS, exemplifies modern UI/UX principles. Its sleek design, seamless animations, and overall user experience set a high standard, serving as a reference or inspiration for future modern applications or websites in general.
This project is a minimal setup template for React applications using Vite, a modern frontend tool that focuses on the developer experience.
Front-end class final project from Dicoding.
Fully responsive personal portfolio website, responsive for all devices, built using HTML, CSS, and JavaScript.
Intelligent ChatBot built with Microsoft's DialoGPT transformer to interact with human users!
Unsupervised clustering of a grocery firm’s customer’s database to form Customer Segmentation.
Open source portfolio built with plain Html, CSS and JavaScript.
This project is a REST API for a skincare store, built using Java Spring. It is currently under development and will be updated continuously until the final version is released.
First React app.
Python Streamlit Website.
TikTok EDA Project.
Comparison of xgboost and prophet methods from facebook for time series analysis.
Prediction model to answer the question, "What types of people are more likely to survive?" by employing passenger information (e.g., name, age, gender, socioeconomic status, etc.).
View beautiful WhatsApp chat exports (using extracted backup in JSON format).
The YouTube Video Recommendation App is built with React and Vite. This application fetches and displays a list of recommended videos based on a given category ID using the YouTube Data API.
Profile README.
Pre Assessment Software Engineer - Backend. For test only.