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Education
Bachelor's Degree
Universitas Indonesia Fakultas Ilmu Komputer
2023-2026
Highschool Degree
SMAN 28 Jakarta
2020-2023
Middle School Degree
SMPN 41 Jakarta
2017-2020
Elementary Degree
SDN Pondok Labu 11 Pagi
2012-2017Achievements
Finalis KIHAJAR STEM Jenjang SMA, Pusat Data dan Teknologi Informasi Kementrian Pendidikan dan Kebudayaan
Pusat Data dan Teknologi Informasi Kementrian Pendidikan dan Kebudayaan, Aug 2020
🥈 Peringkat 2 Nilai Asesmen Sumatif Sekolah Program MIPA SMAN 28 Jakarta
SMAN 28 Jakarta, Aug 2023
Ranked 24th of Preliminary Round of of Big Data Challenge, Satria Data 2024
Indonesian Ministry of Education, Culture, Research, and Technology, Aug 2024
Managed to achieve a top 24 position out of 450+ teams by creating a classification model to predict which category of "IPOLEKSOSBUDHANKAM" a tweet belongs to
Represented Universitas Indonesia in Data Mining, GEMASTIK 2024
Indonesian Ministry of Education, Culture, Research, and Technology, Aug 2024
Developed a legal document retrieval system to improve access to legal services in Indonesia. The system utilizes a retrieval framework with reranking techniques to enhance the relevance and accuracy of retrieved legal documents, ensuring users can efficiently find critical legal information within Indonesia's vast legal landscape. This project aims to support legal professionals and the general public in navigating and utilizing legal resources effectively.gs to
4th Winner of Machine Learning Competition, Data Slayer 2.0
Telkom Institute of Technology Purwokerto, Jan 2024
Overcame 220+ teams by developing a human fall detection system utilizing an ensemble approach combining LightGBM and ResNet. This method effectively identified and analyzed fall events with high accuracy, showcasing the power of integrating machine learning and deep learning techniques.
4th Winner of Final Round Datathon 2024, RISTEK Datathon 2024
RISTEK Fasilkom UI, Aug 2024
Achieved a top 4 position by solving the problem of developing an e-commerce product retrieval system based on product functionality and brand, enhanced with a bundling feature.
4th Winner of Preliminary Round Datathon 2024, RISTEK Datathon 2024
RISTEK Fasilkom UI, Aug 2024
Achieved a top 4 position out of 250+ teams by solving a fraud detection challenge. Fraud detection involves identifying user actions in a scenario as fraudulent or not. In this competition, fraudulent actions were defined as platform users who had borrowed financial products but failed to make payments by the specified deadline. The problem was tackled using Graph Neural Networks (GNN) to develop an effective detection model.
4th Winner of Preliminary Round FIT Competition 2024, FIT Competition 2024
Faculty of Information Technology, Satya Wacana Christian University, Jul 2024
Achieved a top 4 position out of 70+ teams with proposed multi-layered stacking machine learning models
4th Winner and Best Presentation of Dataquest 3.0, Airnology 3.0
Universitas Airlangga, Sep 2024
Overcame 80+ teams by developing a predictive model using a CPU-based CatBoost framework. I was tasked with building and refining a model to classify network traffic types. The model was designed to handle large and diverse traffic datasets, identify suspicious patterns, and accurately predict traffic categories.
10th Winner of Preliminary Round Sebelas Maret Statistics Data Science 2024, Sebelas Maret Statistics Fair
Universitas Sebelas Maret, Sep 2024
Overcame 40+ teams and achieved a top 10 position by utilizing two models for two distinct tasks. The first model focused on weather indicator forecasting, identifying and analyzing key factors such as wind speed, atmospheric pressure, humidity, and rainfall patterns to predict the likelihood and location of extreme weather events like storms and heavy rainfall. The second model analyzed the impact of extreme weather on power grid stability, modeling the relationship between weather intensity and power outages to develop an early warning system for grid operators to take preventive measures.
🥉 3rd Winner of Machine Learning Competition, Data Slayer 1.0
Telkom Institute of Technology Purwokerto, Jan 2024
Overcome other 120+ teams with proposed multi-layered stacking machine learning models to estimate the CO2 vehicle emissions in Indonesia.
🥉 3rd Winner of RISTEK Data Competition 2023, Pekan RISTEK
RISTEK Fasilkom UI, Nov 2023
Overcome other 30+ teams with CatBoost models for predicting car prices in Indonesia.
Top 10 Team of Data Science Academy COMPFEST 15
COMPFEST 15, Aug 2023
Chosen as one of the top 10 teams out of 250+ participants by conducting research on the effectiveness of flood management across two different periods.
Experiences
Universitas Indonesia Fakultas Ilmu Komputer
Jan 2025 - Present
Universitas Indonesia Prodi Ilmu Komputer
Jan 2025 - Present
PT. Indonesia Satu Tujuh
May 2024 - Aug 2024
Jakarta, Indonesia
Universitas Indonesia
Aug 2024 - Des 2024
Universitas Indonesia Faculty of Computer Science
Jan 2024 - Jul 2024
Projects
Python
Django
Flutter
DartAnthony's Portfolio Website
Jan 2025 - Present
This website is a dynamic showcase of my latest experiences, projects, achievements, and educational journey. It's a platform where I share my professional growth, creative work, and personal milestones. Currently, the design is optimized for desktop users, but I am actively working on making it fully responsive to ensure a seamless and visually appealing experience across all devices. Stay tuned for updates, and thank you for visiting!
PythonDjangoFlutterDartJakEt - Jakarta Gadget Mobile
Oct 2024 - Dec 2024
I and my C-02 team have developed a mobile version of the JakEt platform, seamlessly integrated with all Android devices by leveraging web-based APIs for smooth functionality and data synchronization. This ensures a cohesive and efficient user experience across platforms.
PythonMultilabel Product Classification Using ResNet: Automating Type and Color Categorization for Fashion Items
Oct 2024 - Oct 2024
In the Hology competition, I utilized ResNet to develop a model for multilabel classification, which is a machine learning approach where a single instance (data) can belong to multiple classes or labels simultaneously. Unlike traditional binary or multiclass classification, where each instance is assigned to only one class/category, multilabel classification allows multiple labels to be assigned to a single instance. For this project, Matos Fashion planned to develop an automated product classification system using product photos. This system is expected to categorize products not only by their type (e.g., t-shirts or hoodies) but also by their color (red, yellow, blue, black, or white).
PythonDjangoJakEt - Jakarta Gadget Web
Aug 2024 - Oct 2024
JakEt (Jakarta Gadget) is a platform designed to meet the needs of South Jakarta residents for reliable and high-quality gadgets. JakEt helps users find gadgets that suit their budget while providing the best specifications available within their price range. JakEt aims to provide a safer, more convenient digital experience for South Jakarta residents, supporting a modern, tech-driven lifestyle.
FlutterDart
FirebaseAyo Lari
May 2024 - Aug 2024
With PT. INA Satu Tujuh's Team, This project focuses on designing and implementing plugins for the AyoLari app within the MyTelkomsel ecosystem, aimed at reducing local storage usage while maintaining a seamless user experience. By leveraging advanced technologies such as data compression, cloud integration, and dynamic content delivery, the plugins will enable the app to function efficiently even on devices with limited storage capacity.
FlutterDartFirebaseMvi Call Demo
May 2024 - Aug 2024
With PT. INA Satu Tujuh's Team, This project focuses on designing and implementing demo app for the MVI Call app within the MyTelkomsel ecosystem.
FlutterDartFirebaseJudge Me
May 2024 - Aug 2024
With PT. INA Satu Tujuh's Team, This project focuses on making the web-based Judge Me app. This app already integrated with google firebase for the backend.
PythonOCR System to Predict The Percentage of Valid Votes
April 2024 - April 2024
In the Gammafest competition, I developed an OCR system to predict the percentage of valid votes for one of the election candidates at each polling station (TPS) using the Flipper class and other tools like TrOCR.
PythonKomparasi Efektifitas Penanganan Banjir Pemprov DKI Jakarta
May 2023 - Jun 2023
To complete the selection process for COMPFEST Data Science, I conducted a comparison of the effectiveness of flood management in DKI Jakarta. Using KMEANS, I compared the effectiveness of flood management during the periods 2015–2017 and 2018–2020. This project marked my first introduction to data science.
PythonPrediksi Jumlah Pengguna Electric Vehicles di Negara Bagian Washington Menggunakan Linear Regression
Sep 2023 - Okt 2023
After undergoing over a month of training, we developed a project utilizing a dataset from Data.gov to observe the prediction of the number of Electric Vehicle users in Washington State using Linear Regression. We also applied various other methods, such as multiple linear regression, among others.