Integrasi Wireless Sensor Network Berbasis ESP32 dengan Konektivitas 5G untuk Monitoring Lingkungan Real-Time
Kata Kunci:
Kata Kunci: Wireless Sensor Network, ESP32, Jaringan 5G, Monitoring Lingkungan, Internet of Things.Abstrak
Perkembangan Internet of Things (IoT) mendorong pemanfaatan Wireless Sensor Network (WSN) untuk monitoring lingkungan, namun WSN konvensional masih menghadapi keterbatasan pada latensi, keandalan, dan skalabilitas jaringan, terutama untuk aplikasi real-time. Teknologi 5G menawarkan karakteristik latensi rendah, throughput tinggi, dan konektivitas masif yang berpotensi meningkatkan kinerja sistem monitoring lingkungan berbasis WSN. Penelitian ini bertujuan untuk merancang dan mengevaluasi integrasi WSN berbasis ESP32 dengan konektivitas 5G dalam mendukung sistem monitoring lingkungan secara real-time, khususnya dari aspek kinerja jaringan, efisiensi energi, dan performa sistem monitoring. Penelitian ini menggunakan metode eksperimental dengan pendekatan studi kuantitatif. Sistem dirancang dalam bentuk prototipe yang terdiri dari node sensor ESP32, gateway 5G, dan server monitoring berbasis web. Pengujian dilakukan dengan mengukur parameter latensi end-to-end, throughput, packet loss, konsumsi energi node sensor, serta respons sistem monitoring. Hasil pengujian menunjukkan bahwa sistem mampu mengirimkan data sensor secara stabil dengan latensi rendah dan throughput yang konsisten melalui jaringan 5G. Tingkat packet loss yang diperoleh relatif rendah, sementara konsumsi energi node sensor tetap efisien berkat penerapan mekanisme deep sleep. Sistem monitoring berbasis web berhasil menampilkan data lingkungan secara real-time dan menyediakan notifikasi peringatan dini. Integrasi WSN berbasis ESP32 dengan konektivitas 5G terbukti efektif dalam meningkatkan kinerja dan keandalan sistem monitoring lingkungan real-time. Sistem ini memenuhi tujuan penelitian dan layak dikembangkan lebih lanjut, terutama pada penelitian selanjutnya yang mengkaji skalabilitas jaringan, optimasi konsumsi energi, dan integrasi analitik cerdas berbasis kecerdasan buatan.
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Hak Cipta (c) 2025 Kukuh Dwi Nur Cahyo, M.Febri Dwidanasaputra, Kevin Ananda Puryanto Pratama (Penulis)
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