Portfolio
My Projects
Contains projects that have been done from several courses on the ITS information system, or projects that have been carried out on several online courses.
Neural Network Chatbot : Android Application to Help the First Treatment of Children's Diseases.
This project was carried out to fulfill my graduation requirements in undergraduate education at information systems ITS. Proposed to make a chatbot application using a classification model based on a back propagation neural network (BPNN) which can later be used by parents to carry out the first treatment for sick child.
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CNN : Image Classification Model Deployment (Rice Image Dataset)
This project is carried out to fulfill the final project: Image Classification Model Deployment from the coding course. The main goal of this project is to be able to develop an ML model for image classification and then convert the model into a TF-Lite file format that can be embedded in Android and iOS. Convolutional neural network model was built to be able to classify the types of rice grains.
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Tableau : Case Study Coffee Chain
One of the group assignments for a business intelligence course. This project is implemented by creating a dashboard and finding business findings from the coffee chain dataset for each existing KPI (Sales, Marketing, Inventory).
Tableau : Case Study AdventureWorks 2019
This is one of my final projects in the business intelligence course which is done in groups (3 people). The creation of a business dashboard for the adventureworks 2019 dataset was carried out with the aim of finding business findings and providing various solutions as strategic actions for management to increase sales.
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Power BI : Case Study AdventureWorks 2019
This project is intended to analyze internet sales reports on the Adventure works 2019 dataset. The analysis is done by creating a dashboard using Power BI to determine sales performance. In addition, the results of the analysis of internet sales on products and customers are also carried out.
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LSTM Forecasting : Building Machine Learning Models with Time Series Data (Daily Minimum Temperatures in Melbourne)
This project was carried out to fulfill one of the assignments in the Machine Learning Development Learning course. The purpose of working on this project is to create a Machine Learning model with Time Series Data. The dataset used in this project is the Daily Minimum Temperatures in Melbourne.
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LSTM Neural Network : Building NLP Model for News Headline Classification (Text Classification)
This project was carried out to fulfill one of the assignments for the Machine Learning Development Learning course. The aim of this project is to create an NLP model with TensorFlow to classify text from news headlines according to business, gaming, and technology categories. the results of model training with an accuracy of 95% and validation accuracy of 93%.
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Image Classification using Machine Learning : Rock Paper Scissors
This is a final project to fulfill the graduation of the Dicoding course on Machine Learning for Beginners. This project contains a machine learning program that is able to recognize the shape of the hand that forms scissors, rock, or paper.
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Neural Network : Binary (Citrus) and Multiclass (Iris) Classification
It is a classification learning project using a neural network in Dicoding course. This project aims to create a neural network model for classifying oranges and grapes (binary class classification). In addition, the creation and training of neural network models to determine the type of iris flower (multi-class classification) was also carried out.
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