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Novalanzagp (Novalanzagp)

 

 

Hello! My name is Novalanza Grecea Pasaribu, a Master’s graduate in Electrical Engineering from Telkom University with a strong background in academic writing, research, and software development.

I have published 4 international papers in IEEE and other conferences, focusing on Deep Learning, Image Processing, and Automated Essay Scoring systems. With solid experience in academic research, technical writing, and journal preparation, I help students, researchers, and professionals transform complex ideas into well-structured, high-quality academic content.

Beyond writing, I also bring hands-on expertise in Software Engineering and Web Development. I have developed projects ranging from machine learning applications (CNN, CRNN, AlexNet, GoogLeNet, NASNet) to web-based platforms using HTML, CSS, JavaScript, and Firebase, including an automated mathematics essay correction system (eMath Toco).

Whether you need clear, impactful academic writing or robust software solutions, I combine technical depth with professional communication to deliver reliable results.

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User Name: Novalanzagp
Account Type: Personal Account
Date Registered: 17/09/2025 20:30:09 WIB
Last Seen: 17/09/2025 21:43:20 WIB
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2022: It is a journal search application for students or the general public who need to find journal references more easily. Unlike similar products, our application features an upload function, allowing users to upload their own journals. Additionally, it has a more specific search feature using keywords such as topic, year of publication, and category. This app is built in completion of capstone project in Bangkit 2022 led by Google, Tokopedia, Gojek & Traveloka program in cooperation with Kampus Merdeka

2023: Jurnal : Software Design of Image-based Autocorrection Essays using Deep Learning on the Website and Mobile Application

2023: Emath Toco is a solution for educators to perform automatic corrections of mathematical essay exams. Using Emath Toco, educators only need to manually correct 40% of the students' answers, while the remaining 60% will be corrected by the system. The Emath Toco application allows students to upload their exam answers, whereas the Emath Toco website is used by educators to receive these answers and automatically grade them. On the website, educators will see a table of uploaded student answers, which they will partially correct manually; the rest will be automatically graded by the system. The final results will be displayed on the website and will also be available in the application for students to view. Emath Toco uses machine learning for automation and Firebase to store student data.

2024: Jurnal Internasional : Auto Evaluation for Essay Assessment Using a 1D Convolutional Neural Network

2024: INternational Conference : NasNet Model for Image-Based Essay Scoring Deep Learning

2024: International Conference : Image-Based Essay Scoring Deep Learning Using a CNN Model GoogLeNet

2025: Dashboard Performance Analytics Kimia Farma

 

 

 

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