Rancang Bangun Multi Node Sensor Pada Sistem Monitoring Irigasi Tetes Otomatis Guna Optimalisasi Kadar Air Tanah

Dharma, Chiko Parama Ganendra (2026) Rancang Bangun Multi Node Sensor Pada Sistem Monitoring Irigasi Tetes Otomatis Guna Optimalisasi Kadar Air Tanah. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pada budidaya bawang merah, pengelolaan irigasi yang tepat sangat penting untuk menjaga kadar air tanah yang optimal karena berpengaruh langsung terhadap pertumbuhan dan hasil panen. Penelitian ini bertujuan merancang dan membangun sistem monitoring multi-node sensor pada irigasi tetes otomatis untuk optimalisasi kadar air tanah menggunakan komunikasi BLE (Bluetooth Low Energy) mesh yang menghubungkan beberapa node sensor kelembapan dan suhu tanah pada kedalaman 9 cm dan 18 cm, dengan data dikirimkan melalui Internet of Things (IoT) ke server web untuk pemantauan real-time. Hasil pengujian menunjukkan bahwa pada media 100% tanah, fluktuasi suhu pada kedalaman 9 cm lebih besar dibandingkan 18 cm, masing-masing sekitar 2,1°C dan 1,7 °C, sedangkan laju penurunan kelembapan pada 18 cm lebih lambat, yaitu 0,6% per jam, dibandingkan 9 cm mencapai 1,0 % per jam. Pada media dengan 70% pasir dan 30% tanah, selisih kelembapan antar kedalaman meningkat dari sekitar 3% menjadi 13%, menunjukkan bahwa lapisan lebih dalam lebih mampu menyimpan air, terutama pada media berpasir. Suhu dan kelembapan menunjukkan hubungan berlawanan, di mana kenaikan suhu diikuti penurunan kelembapan akibat proses evaporasi. Temuan ini menunjukkan bahwa pengambilan keputusan irigasi berdasarkan satu titik sensor berpotensi menyebabkan over-irrigation, sedangkan penerapan sistem multi-node sensor mampu meningkatkan efisiensi penggunaan air, mendukung distribusi air yang lebih tepat sasaran, serta menciptakan kondisi tanah yang optimal bagi pertumbuhan bawang merah.
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In shallot cultivation, proper irrigation management is essential to maintain optimal soil moisture levels, as it directly affects plant growth and yield. This study aims to design and develop a multi-node sensor monitoring system for automatic drip irrigation to optimize soil moisture levels using Bluetooth Low Energy (BLE) mesh communication, which connects several soil moisture and temperature sensor nodes installed at depths of 9 cm and 18 cm. The collected data are transmitted via the Internet of Things (IoT) to a web server for real-time monitoring. The results show that in 100% soil media, temperature fluctuations at a depth of 9 cm are greater than those at 18 cm, at approximately 2.1 °C and 1.7 °C, respectively, while the rate of moisture reduction at 18 cm is slower, at about 0.6% per hour, compared to 1.0% per hour at 9 cm. In media consisting of 70% sand and 30% soil, the moisture difference between depths increases from approximately 3% to 13%, indicating that deeper layers have a greater capacity to retain water, especially in sandy media. Temperature and moisture exhibit an inverse relationship, in which an increase in temperature is followed by a decrease in moisture due to evaporation. These findings indicate that irrigation decisions based on a single sensor point may lead to over-irrigation, whereas the implementation of a multi-node sensor system can improve water-use efficiency, support more targeted water distribution, and create optimal soil conditions for shallot growth.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Multi Node Sensor, Bawang Merah, Kadar Air Tanah, Sistem Monitoring. ======================================================================================================================== Multi Node Sensor, Shallots, Soil Water Content, Monitoring System.
Subjects:	Q Science > QC Physics > QC100.5 Measuring instruments (General) Q Science > QC Physics > QC271 Temperature measurements Q Science > QK Botany > QK870 Plant-water relationships S Agriculture > S Agriculture (General) > S602.87 Shifting cultivation
Divisions:	Faculty of Vocational > Instrumentation Engineering
Depositing User:	Chiko Parama Ganendra Dharma
Date Deposited:	02 Feb 2026 08:55
Last Modified:	02 Feb 2026 08:55
URI:	http://repository.its.ac.id/id/eprint/131836

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