Monitoring dan Kontrol Sistem Irigasi Berbasis IoT Menggunakan Banana Pi

Wijaya, Andrie (2018) Monitoring dan Kontrol Sistem Irigasi Berbasis IoT Menggunakan Banana Pi. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Saat ini metode pengaliran air atau irigasi dilakukan secara manual. Petani harus menyiram tanaman satu persatu sehingga tidak efisien dalam hal waktu. Selain itu penyiraman dengan metode ini akan membuat sumber air cepat habis sehinggga petani akan kesulitan mencari sumber air saat musim kemarau tiba. Karena hal ini maka penulis membuat sistem yang dapat memonitor kelembaban tanah dan mengatur sistem irigasi secara jarak jauh dengan menggunakan konsep IoT (Internet of Things). IoT merupakan konsep dimana perangkat pintar seperti android, website, komputer, komponen elektronik terhubung melalui internet untuk bertukar data, sehingga banyak implementasi dari IoT seperti monitoring, kontrol, sistem otomatis dan lain lain. Pada bidang pertanian, IoT dapat digunakan untuk memantau dan mengatur berbagai hal yang menunjang proses bertani seperti sistem irigasi serta kondisi tanah. Pada penelitian ini telah dibuat suatu peralatan yang digunakan untuk monitoring dan kontrol sistem irigasi berbasis IoT. Sistem irigasi yang digunakan adalah sistem irigasi tetes. Single Board Computer Banana Pi digunakan sebagai prosesor utama yang terhubung dengan jaringan internet. Single Board Computer akan mengirim data dari sensor ke basisdata sehingga aplikasi android dapat mengakses data sensor tersebut dan ditampilkan ke pengguna. Pengguna menerima data tersebut melalui aplikasi pada perangkat pintar berbasis android. Pengguna dapat melihat kelembaban tanah dan mengatur katup air pada aplikasi android, sehingga dapat menambah kelembaban tanah. Dripper yang digunakan memiliki spesifikasi 16 L/jam. Hasil percobaan menunjukkan sensor kelembaban YL 69 yang telah dikalibrasi dengan metode GWC (Gravimetric Water Content) menunjukkan error sebesar 1,96% dan katup elektrik yang mengalirkan air ke dripper dengan kecepatan 5 ml/menit. Dengan kecepatan 5 ml/menit terdapat peningkatan kelembaban sebesar 20,12 %. ==========================================================================================================
Currently the method of drainage or irrigation is done manually. Farmers should water the plants one by one so they are inefficient in terms of time. In addition, watering with this method will make the water source quickly run out so farmers will find it difficult to find water source during the dry season arrives. Because of this the authors create a system that can monitor soil moisture and regulate irrigation systems remotely by using the concept of IoT (Internet of Things). IoT is a concept where smart devices such as android, websites, computers, electronic components are connected via the Internet to exchange data, so many implementations of IoT such as monitoring, control, automated systems and so on. In the field of agriculture, IoT can be used to monitor and manage the various things that support the farming process such as irrigation systems and soil conditions. In this research, an equipment used for monitoring and control of IoT-based irrigation system has been developed. Irrigation system used is drip irrigation system. Single Board Computer Banana Pi is used as the main processor connected to the internet network. Single Board Computer will send data from the sensor to the database so that the android app can access the sensor data and displayed to the user. The user receives the data through the application on android based smart devices. Users can see the soil moisture and regulate the water valve on the android application, so it can increase the soil moisture. The dripper that used in this project has a spesfication 16 l/hour. The experimental results showed that YL 69 moisture sensor calibrated by GWC (Gravimetric Water Content) method showed an error of 1.96% and an electric valve that drains water to the dripper at a rate of 5 ml / minute. With a speed of 5 ml / min there is a 20.12% increase in humidity.

Item Type: Thesis (Undergraduate)
Additional Information: RSE 004.167 5 Wij m-1 3100018075755
Uncontrolled Keywords: Banana Pi, Irrigation System, IoT, Soil Moisture, sistem irigasi, kelembaban tanah
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2861 Electric relays
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.888 Web sites--Design. Web site development.
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105 Data Transmission Systems
Divisions: Faculty of Electrical Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User: Andrie Wijaya
Date Deposited: 06 Dec 2018 01:32
Last Modified: 02 Oct 2020 04:57
URI: http://repository.its.ac.id/id/eprint/52875

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