Model Sistem Informasi Early Warning Kerusakan Drainase Kota Padang Berbasis Citizen Reporting dan Deep Learning untuk Pencegahan Banjir Perkotaan
DOI:
https://doi.org/10.31004/joecy.v6i2.11086Keywords:
Early Warning System, Citizen Reporting, Deep LearningAbstract
Penelitian ini bertujuan mengembangkan model sistem informasi early warning kerusakan drainase Kota Padang berbasis citizen reporting dan deep learning sebagai upaya pencegahan banjir perkotaan. Sistem dirancang dengan mengintegrasikan laporan masyarakat melalui aplikasi digital, mencakup foto, lokasi, dan jenis kerusakan drainase secara real-time. Metode deep learning digunakan untuk mengklasifikasikan tingkat kerusakan drainase berdasarkan citra yang dikirim pengguna. Hasil analisis diintegrasikan ke dalam sistem pemetaan digital untuk mendukung pengambilan keputusan pemerintah daerah dalam prioritas perbaikan. Model ini diharapkan meningkatkan respons penanganan drainase, meminimalkan risiko banjir, serta memperkuat partisipasi masyarakat secara kolaboratif.
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Copyright (c) 2026 Ronaldo Syahputra, Revi Gusriva, Ahmad Junaidi
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