Rancang Bangun Wireless Sensor Network Pada Pendeteksi Dini Potensi Kebakaran Lahan Gambut Menggunakan Banana Pi IoT

Irawan, Hendra (2017) Rancang Bangun Wireless Sensor Network Pada Pendeteksi Dini Potensi Kebakaran Lahan Gambut Menggunakan Banana Pi IoT. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Lahan gambut merupakan bagian dari ekosistem yang banyak mengandung bahan organik yang tidak mudah terurai. Seringnya terjadi kebakaran lahan gambut membuat Indonesia kerap menderita kabut asap, sehingga diperlukan suatu sistem yang dapat mendeteksi potensi terjadinya kebakaran lahan gambut. Telah banyak penelitian tentang hal penanganan masalah tersebut, namun penelitian yang ditawarkan biasanya berupa pendeteksi paska kebakaran lahan gambut. Selain itu banyak teknologi yang ditawarkan mempunyai harga produksi yang mahal dan penggunaan daya yang tinggi. Sistem yang dirancang pada penelitian ini adalah penerapan Wireless Sensor Network menggunakan topologi tree pada pendeteksi dini potensi kebakaran lahan gambut yang diintegrasikan dengan Internet of Things. Menggunakan Arduino sebagai prosesor dari sensor node yang dibuat dan menggunakan Banana Pi sebagai server dari keseluruhan sitem. Sistem ini mengutamakan penanganan sebelum terjadinya kebakaran dengan membaca suhu lingkungan setiap node. Hasil dari sistem keseluruhan dapat dilihat pada tampilan halaman web yang dapat menampilkan informasi suhu permukaan lahan gambut. Jarak optimum peletakan antar node adalah 100m dan kesuksesan membaca GPS mencapai 80%. ================================================================================= Peatlands are part of the ecosystem which contains many organic materials that are difficult to decompose. The frequent peatland fires cause Indonesia to suffer from haze, so it needs a system that can detect the potential of peat land fires. There has been a lot of research on how to handle the problem, but the research offered is usually a post-fire peatland detector. In addition, many of the technologies are offered have expensive production prices and high power usage. So that can be interpreted the system offered ignore the losses caused by fire. The system designed by the author is the application of Wireless Sensor Network. The system uses a tree topology on early detection of potential peatland fires which is integrated with the Internet of Things. Arduino is used as the processor of the node sensor and Banana Pi is used as the server of the whole system. This system prioritizes handling prior to fire by reading the ambient temperature of each node. The output of the created system shows the success in sending information of potential fire. The power consumed by the node sensor is 6.57W, the optimum distance between the node is 100m and the success of GPS readings reached 80%.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Banana Pi, Peatlands, Wireless Sensor Network, Internet of Things.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7872 Electric current converters, Electric inverters.
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7872 Electromagnetic Devices
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5102.5 Modulation (Electronics), Demodulation (Electronics)
Divisions: Faculty of Industrial Technology > Electrical Engineering > (S1) Undergraduate Theses
Depositing User: Hendra Irawan
Date Deposited: 02 Oct 2017 07:23
Last Modified: 18 Dec 2017 02:47
URI: http://repository.its.ac.id/id/eprint/45911

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