I am a Computer Science student at Pertamina University and a tech enthusiast passionate about exploring how technology can solve real-world problems.
My current learning focus is on diving deep into Data Science & Analytics, Machine Learning, and Mobile Programming, with a growing interest in the field of Cybersecurity. I enjoy the process of transforming raw data into useful predictive models, as well as building intuitive and functional mobile applications.
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- A cross-platform personal finance tracker app built with Flutter and Firebase. Features include real-time data synchronization, interactive charts, and full CRUD (Create, Read, Update, Delete) functionality.
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Waste Classification Using CNN
- Built an image classification model using CNN (MobileNetV2 and DenseNet121) to categorize waste types from the TrashNet dataset. Applied data augmentation, class weighting, and fine-tuning to improve accuracy, especially for minority classes like “trash”.
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EnviroPay - Sistem Pembayaran Iuran Lingkungan
- A modern Laravel-based web app to manage environmental maintenance fees (IPL) in residential complexes. Features a responsive, user-friendly interface for residents and administrators to handle payments and financial tracking effectively.
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PeduliYuk - Platform Donasi Digital
- A Flutter-based donation platform designed to combat the impact of fast fashion by enabling secondhand goods donations between communities and organizations. Includes donation tracking, logistics coordination, and social campaign features.
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Aplikasi Voting - Sistem Pemungutan Suara Digital
- A secure digital voting system built with Firebase authentication and custom AES encryption, designed for academic use in a Cryptography course.
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- An ESP32-based smart lockbox developed with MicroPython. Features automated locking/unlocking, Telegram-based real-time alerts, and a local web interface for control.
I'm always open to learning new things and collaborating on projects focused on data analytics and application development.
