Rancang Bangun Sistem Deteksi Hama Tanaman Whiteflies Berbasis Jaringan Sensor Nirkabel dan Aplikasi Web

Tua Agustinus  Tamba; Stevanus  Darwin; Gabriela  Solaiman; Jason  Reysan

doi:10.5614/joki.2024.16.2.8

Penulis

Tua Agustinus Tamba Program Studi Sarjana Teknik Elektro, Fakultas Teknologi Industri, Universitas Katolik Parahyangan, Bandung, Indonesia
Stevanus Darwin Program Studi Sarjana Teknik Elektro, Fakultas Teknologi Industri, Universitas Katolik Parahyangan, Bandung, Indonesia
Gabriela Solaiman Program Studi Sarjana Teknik Elektro, Fakultas Teknologi Industri, Universitas Katolik Parahyangan, Bandung, Indonesia
Jason Reysan Program Studi Sarjana Teknik Elektro, Fakultas Teknologi Industri, Universitas Katolik Parahyangan, Bandung, Indonesia

Kata Kunci:

pemrosesan citra, histogram equalization, otomasi pemantauan hama, hama whiteflies, jaringan sensor nirkabel

Abstrak

Salah satu tantangan dalam kegiatan pertanian adalah terkait upaya deteksi dan pemantauan hama yang dapat dijadikan basis untuk penentuan tindak penanganan yang tepat. Greenhouse whiteﬂies (GWF) adalah salah satu hama berbahaya yang menyerap getah tanaman sehingga membuat tanaman melemah atau bahkan mati akibat kekurangan nutrisi. Upaya deteksi hama GWF umumnya masih dilakukan secara manual menggunakan yellow sticky trap (YST) yang membutuhkan pengecekan oleh petani secara berulang dengan selang waktu lama antar setiap aktivitas pengecekan. Penelitian ini ditujukan untuk merancang suatu sistem otomasi pemantauan hama GWF berbasis gambar YST. Metode perancangan yang diajukan adalah melalui penggunaan suatu sistem jaringan sensor nirkabel berbasis web yang dilengkapi dengan algoritma pengolahan citra dan dioperasikan secara real-time. Pada metode yang diajukan, sensor kamera digunakan untuk menangkap citra YST yang kemudian diproses dengan aplikasi berbasis website. Pengujian purwarupa hasil penelitian menunjukkan bahwa rancangan sistem deteksi hama berfungsi dengan baik dan tanpa kendala. Secara khusus pada aspek perangkat keras, pengujian menunjukkan sensor kamera di lapangan dapat diakses dan mengirimkan data secara real-time ke aplikasi website yang dirancang. Sementara pada aspek algoritma pengolahan citra, teknik deteksi citra berbasis analisis histogram yang digunakan mampu mendeteksi hama whiteflies pada citra daun yang ditinjau dengan tingkat akurasi mencapai rentang 94%-100%.

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