Sistem Kendali Fuzzy dalam Pemantauan dan Kontrol Irigasi terhadap Pengaruh Kelembapan dan Suhu Media Tanah Menggunakan Internet of Things

Pamungkas, Sembayu Jati Pamungkas (2026) Sistem Kendali Fuzzy dalam Pemantauan dan Kontrol Irigasi terhadap Pengaruh Kelembapan dan Suhu Media Tanah Menggunakan Internet of Things. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penelitian ini merancang dan mengimplementasikan sistem kendali irigasi otomatis berbasis Internet of Things (IoT) untuk pemantauan dan pengendalian kelembapan media tanah menggunakan logika Fuzzy berbasis aturan. Logika Fuzzy memproses masukan kelembapan tanah dan suhu udara untuk menentukan durasi penyalaan pompa irigasi secara adaptif, sehingga kelembapan media tanah dapat dikembalikan menuju rentang aman di sekitar nilai setpoint yang ditentukan (dalam pengujian ini digunakan 75%)—yang dipilih untuk mencegah media tanah mencapai kondisi mendekati titik layu permanen (Permanent Wilting Point/PWP) melalui respons durasi penyiraman yang proporsional terhadap kondisi lingkungan. Seluruh data pemantauan dikirim ke platform IoT Blynk dan Google Sheets untuk pemantauan jarak jauh. Hasil pengujian menunjukkan kinerja pengendalian yang baik dengan sistem mampu merespons perubahan kondisi lingkungan secara adaptif, serta memberikan analisis respons kendali berupa overshoot sebesar 13,33% sebagai bahan evaluasi untuk pengembangan menuju kendali yang lebih presisi. Sistem terbukti mampu meningkatkan efisiensi penggunaan air dan menjaga kestabilan kondisi lingkungan media tanam dengan mencegah risiko cekaman air berlebihan, sekaligus menjadi acuan pengembangan pada berbagai jenis tanaman lain.
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This study designs and implements an automatic irrigation control system based on the Internet of Things (IoT) for monitoring and controlling soil moisture using rule-based Fuzzy logic. Fuzzy logic processes soil moisture and air temperature inputs to adaptively determine the irrigation pump runtime, thereby restoring soil moisture toward the safe range around the specified setpoint (set to 75% in this test) which is selected to prevent the growing media from approaching the Permanent Wilting Point (PWP) through adaptive pump duration responses proportional to environmental conditions. All monitoring data is transmitted to the Blynk IoT platform and Google Sheets for remote monitoring. Test results demonstrate good control performance, with the system capable of adaptively responding to changes in environmental conditions, while also providing control response analysis including an overshoot of 13.33% as evaluation material for further development toward more precise control. The system has proven capable of improving water use efficiency and maintaining stable growing media conditions by preventing the risk of excessive water stress, while also serving as a reference for development with various other plant species.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Internet of Things (IoT), Logika Fuzzy berbasis aturan, Kontrol irigasi otomatis, Kelembapan media tanah, Internet of Things (IoT), Rule-Based Fuzzy Logic, Automatic Irrigation Control, Soil Moisture.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK6592.A9 Automatic tracking.
Divisions:	Faculty of Vocational > 36304-Automation Electronic Engineering
Depositing User:	Sembayu Jati Pamungkas
Date Deposited:	13 Aug 2026 01:20
Last Modified:	13 Aug 2026 01:20
URI:	http://repository.its.ac.id/id/eprint/144337

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