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All Journal JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Komputer dan Elektro Sains
Akmalano, Raihan
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Radar Wing Defender (RWD): Sistem untuk membantu para petani dalam mendeteksi dan pengusir hama burung Fawwaz, Fawwaz Mulya Rabbani; Fadhlurrahman, Rafi; Eka Putri, Nadira; Akmalano, Raihan; Alif Artanto, Galih; Hidayat, Rahmat
Jurnal Komputer dan Elektro Sains Vol. 3 No. 1 (2025): komets
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/komets.v3i1.180

Abstract

Around 90% of Indonesia's population uses rice as food. However, the production process has not been able to fully fulfil the needs of the community, due to several obstacles that affect productivity. Bird pests are one of the main causes of rice disruption. Group birds are known as one of the few pests that tend to cause population problems. The purpose of this research is to get the design of an IoT-based rice bird repellent. This IoT-based bird repellent consists of two main parts: hardware, or hard system, and software, or soft system. An ESP32 microcontroller and ultrasonic sensors are used in this prototype. This Bird Pest Prototype can be hammered automatically. As a result, the existence of this prototype makes it easier for caregivers to treat patient wounds in case of pest injuries; however, this can be done more effectively and efficiently because caregivers do not need to visit the fields to treat patient wounds due to various pest injuries. Based on this prototype, if the ultrasonic sensor detects a bird with a range of 0 to 4 metres, the buzzer will sound, and the servo motor will move the lever to bring the radar-detected bird closer.
DETEKSI DINI BENCANA BANJIR DI PEMUKIMAN PERKOTAAN DENGAN TEKNOLOGI INTERNET OF THINGS (IOT) Akmalano, Raihan; Budhi Santoso, Dian
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 2 (2025): JATI Vol. 9 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i2.12777

Abstract

Banjir merupakan salah satu bencana yang sering melanda kawasan perkotaan, menyebabkan kerugian material, kerusakan lingkungan, dan ancaman kesehatan. Masalah ini diperparah oleh kurangnya sistem peringatan dini yang efektif untuk mengantisipasi peningkatan volume air secara mendadak. Penelitian ini bertujuan untuk mengembangkan sistem deteksi dini berbasis Internet of Things (IoT) yang mampu memantau ketinggian air secara real-time menggunakan sensor ultrasonik dan DHT22. Data lingkungan yang dikumpulkan diolah oleh mikrokontroler ESP32, kemudian disimpan dan dikelola melalui Firebase untuk memfasilitasi akses real-time oleh pengguna. Penelitian ini juga mengevaluasi kinerja sistem dalam berbagai kondisi lingkungan. Hasil pengujian menunjukkan akurasi tinggi pada deteksi ketinggian air hingga 179 cm, serta kemampuan sistem dalam memberikan peringatan dini secara cepat dan efisien melalui aplikasi berbasis Kodular. Penggunaan sistem ini diharapkan dapat mengurangi dampak buruk banjir, meningkatkan kesiapsiagaan masyarakat, dan mendukung pengambilan keputusan yang lebih baik di tingkat lokal dan regional.
Co-Authors Alif Artanto, Galih Budhi Santoso, Dian Eka Putri, Nadira Fadhlurrahman, Rafi Fawwaz, Fawwaz Mulya Rabbani Rahmat Hidayat