Fresh Graduate at Information System Sepuluh Nopember Institute of Technology who has an interest in data and machine learning, especially in analyzing data and visualizing it for business purposes. Well-versed in programming languages and tools including Python, SQL, Tableau, Spotfire, PoweBI, Ms. Exel.
Contains projects that have been done from several courses on the Information Systems ITS, or projects that have been carried out on several online courses.
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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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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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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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.
Read MoreMajoring in information systems with a GPA of 3.6 out of 4.0. Successfully completed the final project entitled Development of Android-based Chatbot Application Using Back Propagation Artificial Neural Network to Help The First Treatment of Children's Diseases.
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