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Khaerudin Saleh
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Perancangan Sistem Backend Real-Time Berbasis FastAPI dan Firebase Untuk Klasifikasi Sampah Bahan Berbahaya dan Beracun Serta Pengambilan Lokasi Dropbox Pada Aplikasi Mobile TOXMAP Gading Aurelia Nabila Lubis; Rita Purnamasari; Khaerudin Saleh
eProceedings of Engineering Vol. 12 No. 4 (2025): Agustus 2025
Publisher : eProceedings of Engineering

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Abstract

Hazardous household waste (B3) poses serious risks to the environment and public health when improperly managed. To address this, TOXMAP was developed as a mobile-based system that combines real-time image classification with location-based waste disposal guidance. This study presents the backend development of TOXMAP, which integrates a FastAPI server to process image inputs and classify waste types using a pre-trained Support Vector Machine (SVM) model. Firebase services support user authentication, image storage, and dropbox location retrieval. To complement this backend, the TOXMAP frontend was built using Flutter, enabling cross-platform mobile deployment with support for camera access and real-time image submission. Integration and load testing show that the system can respond in under one second per request while maintaining classification accuracy and user responsiveness. This architecture offers a lightweight, scalable, and user-accessible infrastructure to promote public awareness and responsible household B3 waste management.Keywords— backend, real-time system, image classification, FastAPI, Firebase, B3 waste
Implementasi Frontend Aplikasi TOXMAP Berbasis Flutter untuk Klasifikasi Sampah B3 Berbasis Gambar Feliana Putri Anindyta Efendi; Rita Purnamasari; Khaerudin Saleh
eProceedings of Engineering Vol. 12 No. 4 (2025): Agustus 2025
Publisher : eProceedings of Engineering

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Abstract

TOXMAP merupakan aplikasi mobile yang dirancang untuk mempermudah masyarakat dalam mengenali jenis sampah B3 dengan memanfaatkan teknologi klasifikasi gambar berbasis machine learning. Aplikasi ini juga menyediakan informasi lokasi dropbox terdekat serta konten edukatif seputar pengelolaan limbah berbahaya. Penelitian ini berfokus pada implementasi sisi frontend menggunakan framework Flutter. Antarmuka aplikasi mencakup fitur utama seperti pemindaian gambar sampah, penampilan hasil klasifikasi dari backend machine learning, pemetaan lokasi dropbox menggunakan Google Maps, serta halaman edukasi interaktif. Evaluasi dilakukan melalui penyebaran kuisioner kepada 25 pengguna. Berdasarkan hasil evaluasi, aplikasi menunjukkan tingkat usability yang tinggi. Hal ini menandakan bahwa TOXMAP mudah digunakan dan dipahami oleh pengguna dari berbagai latar belakang, serta berpotensi menjadi solusi digital yang efektif dalam meningkatkan kesadaran masyarakat terhadap pengelolaan limbah B3 secara lebih cermat dan bertanggung jawab.Kata kunci— TOXMAP, Flutter, frontend, klasifikasi gambar, sampah B3, Firebase, usability
Co-Authors Feliana Putri Anindyta Efendi Gading Aurelia Nabila Lubis Rita Purnamasari