Web App
Hello, I’m
M. Eric Chaniago
Student of UIN SUSKA Riau
I'm a student of UIN SUSKA Riau. My major is Information System, Faculty of Sains & Technology.
Let's TalkMy Intro
About Me
As a Systems Information student at UIN SUSKA Riau, I am a dedicated and enthusiastic individual with a solid foundation in IT.
Contact MeFavorite Skills
My Skills
See fully what skills I have and perform, to develop the projects for you.
See Projects- HTML & CSS
- JavaScript
- Python
- Codeigniter 3
- Git & GitHub
- Figma
- Adobe Photoshop
My Jobs
Recent Projects
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TensorFlow
Vue.js
RESTful API
SweetAware: Predicting Diabetes Risk
A machine learning–based web application designed to provide diabetes risk assessments to users through personal health data input. This project integrates modern full-stack technologies with an AI model trained using the “Diabetes Prediction Dataset” from Kaggle
Blue Print
Go - Pinjam
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Google Workspace
Figma
Notion
Project Blue Print: Go - Pinjam
A blueprint project for a lending platform that connects item providers with borrowers in a simple and transparent manner
Machine Learning
Movie Recommender
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Python
Scikit-learn
NumPy
TensorFlow
Movie Recommender System: Content-Based & Collaborative Filtering
Built a recommender system using the MovieLens 1M dataset. This project implements two approaches: Content-Based Filtering (by genre similarity) and Collaborative Filtering (using an embedding-based neural network) to deliver personalized movie recommendations
Machine Learning
Diabetes Prediction
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Python
Scikit-learn
NumPy
XGBoost
Machine Learning for Diabetes Risk Prediction
This project showcases an end-to-end machine learning workflow for predicting diabetes. After training and evaluating 5 models (including XGBoost, SVM, and Random Forest), the best model achieved 77.9% accuracy and 71.7% precision, demonstrating its value as a potential screening tool.
Deep Learning
Spotify Sentiment
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Python
TensorFlow
NLTK
Sastrawi
Google Play Scraper
Spotify App Review Sentiment Analysis
Analyzed 10,000+ Google Play Store reviews to understand public sentiment towards the Spotify app. This project involved scraping live user data, performing complex NLP preprocessing for Indonesian text (using NLTK & Sastrawi), and comparing three deep learning models (LSTM, CNN, GRU). The resulting LSTM model successfully classifies user sentiment with 93% accuracy.
Deep Learning
Bag Synthetic
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Python
Scikit-learn
TensorFlow
Bag Synthetic Images Classification
A deep learning project that classifies synthetic bag images into Plastic Bag, Paper Bag, and Garbage Bag categories using a Convolutional Neural Network (CNN) built with TensorFlow and Keras.The model achieved an accuracy of 96.73%.
Data Analysis
Housing Price
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Python
pandas
matplotlib
scikit-learn
Housing Price Data Cleaning & EDA
An end-to-end data preparation and exploratory analysis project on a housing price dataset. The project demonstrates skills in data cleaning, handling missing values and outliers, standardization, encoding categorical variables, and visualizing feature distributions and correlations to uncover insights relevant for machine learning modeling.
Web App
Bookshelf App
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HTML
CSS
JavaScript
LocalStorage API
Bookshelf App
Simple web application that allows users to organize and track their books by adding, categorizing, searching, and storing book data using local storage.
Python Data Analysis
Dashboard Bike Share
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Python
Streamlit
Dashboard Bike Share
Bike-Sharing Analysis is an interactive data analysis project built with Python and Streamlit, allowing users to explore bike rental patterns, usage trends, and user behavior through dynamic visualizations.
Web Page
Web Portofolio
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HTML
CSS
JavaScript
Web Portofolio
A personal portfolio website showcasing my projects, experience, and skills in web development and information technology, designed to highlight my work clearly and attractively while giving visitors an easy way to explore my background and interests
Web App
Website Yayasan
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HTML
CSS
JavaScript
PHP
CodeIgniter
MySQL
Web Portofolio
This is a web application for educational institutions designed to manage and display essential information efficiently. It focuses on ease of use to support both administrators and visitors in accessing academic content and updates.
Web Page
Web Profile
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HTML
CSS
Web Profile
A personal website showcasing my information, gallery, activities, and contact details, created as one of my first projects to explore and practice web development while sharing a glimpse of my interests and experiences