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JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer)
Published by Universitas Merdeka Malang
ISSN : 26565722     EISSN : 2685497X     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Mathematics
Sistem Tenaga Generator, Distribusi Daya, Konversi Daya Listrik, Sistem Perlindungan dan Teknologi Bahan elektrik Sinyal, Sistem, dan Elektronik Pemrosesan Sinyal Digital, Pemrosesan Gambar, Sistem Robot, Sistem Kontrol dan Sistem Embeded Sistem komunikasi Telekomunikasi, Komunikasi Nirkabel dan Jaringan Komputer Teknologi Informasi Rekayasa Perangkat Lunak, Penambangan Data Multimedia, Komputasi Bergerak, Komputasi Paralel / Terdistribusi, Inteligensi Buatan, Grafik Komputer dan AR / VR Aplikasi Sains Instrumentasi, Matematika, Fisika, Teknologi Geologi, Kimia, Pendidikan Sains dan Teknologi Kesehatan atau Biomedis.
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Articles 1 Documents
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Search results for , issue "Vol. 8 No. 1 (2026): Juni 2026 (forthcoming Issue)" : 1 Documents clear
Rancang Bangun Sistem Deteksi Dini Kebakaran Berbasis Drone dengan Pengolahan Citra Digital pada Raspberry Pi Susanti, Eka; Marniati , Yessy; Fatin , Muhammad Hanif; Apriliya, Cindy; Relointri, Melna Evanti
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 8 No. 1 (2026): Juni 2026 (forthcoming Issue)
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v8i1.16314

Abstract

Fires are a common disaster that are difficult to detect early. This study designed and built a drone-based early fire detection system using digital image processing on a Raspberry Pi. The system is equipped with a camera as the main sensor to capture images of the environment, which are then analyzed using a real-time fire color detection method. The Raspberry Pi functions as the data processing center, while the ESP32 module is used for data communication and device control. The location of the fire is identified through a GPS module, enabling accurate position monitoring. Detection results are automatically sent via the Telegram application, making it easier for users to respond to incidents. Test results show that the system is capable of detecting potential fires with fast response and high accuracy in various lighting conditions. This system is expected to be an effective solution in supporting efficient and real-time forest fire mitigation efforts

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