PERANCANGAN DAN IMPLEMENTASI SISTEM IRIGASI OTOMATIS BERBASIS INTERNET OF THINGS UNTUK PENGAWASAN DAN PENGENDALIAN PERTANIAN

    Muhammad Haqil Aufar, - and Aip Saripudin, - (2025) PERANCANGAN DAN IMPLEMENTASI SISTEM IRIGASI OTOMATIS BERBASIS INTERNET OF THINGS UNTUK PENGAWASAN DAN PENGENDALIAN PERTANIAN. S1 thesis, Universitas Pendidikan Indonesia.

    Abstract

    Pertanian di Indonesia menghadapi tantangan efisiensi penggunaan air akibat perubahan iklim dan keterbatasan sumber daya, sehingga diperlukan sistem irigasi yang cerdas, adaptif, dan hemat energi. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem irigasi otomatis berbasis Internet of Things (IoT) menggunakan mikrokontroler ESP32 yang terintegrasi dengan lima parameter lingkungan, yaitu kelembaban tanah, suhu dan kelembapan udara (DHT22), intensitas cahaya (LDR), hujan, dan pH tanah. Data sensor diproses menggunakan logika fuzzy berbasis penjumlahan skor tiap parameter untuk menentukan aktivasi penyiraman secara real-time, dengan dukungan kendali dan pemantauan jarak jauh melalui Arduino IoT Cloud dan Telegram Bot. Hasil pengujian menunjukkan bahwa sensor memiliki akurasi tinggi, seperti sensor kelembaban tanah yang linier pada rentang 0–66% dan DHT22 dengan akurasi ±0,5 °C untuk suhu serta ±2% untuk kelembapan udara. Sistem hanya mengaktifkan irigasi saat skor fuzzy mencapai nilai kritis (≥6), misalnya saat kelembaban tanah <17,98%, suhu >30 °C, dan tidak terjadi hujan; sebaliknya, sistem mematikan pompa secara otomatis saat tanah cukup lembab meskipun suhu tinggi, seperti ditunjukkan pada data lapangan saat kelembaban mencapai 60,85% pada suhu 27,1 °C. Selain itu, integrasi sensor pH sebagai indikator kualitas tanah serta fitur notifikasi melalui Telegram memperkuat fungsi pengawasan dan kontrol jarak jauh. Berdasarkan hasil evaluasi dan uji lapangan, sistem terbukti responsif, efisien dalam penggunaan air dan energi, serta layak diterapkan sebagai solusi teknologi smart farming dalam pengembangan pertanian presisi di Indonesia. Agriculture in Indonesia faces increasing challenges in water use efficiency due to climate change and limited resources, necessitating the development of intelligent, adaptive, and energy-efficient irrigation systems. This study aims to design and implement an automatic irrigation system based on the Internet of Things (IoT), using an ESP32 microcontroller integrated with five environmental parameters: soil moisture, air temperature and humidity (DHT22), light intensity (LDR), rainfall, and soil pH. Sensor data are processed using a score-based fuzzy logic method to determine irrigation activation in real-time, with remote monitoring and control enabled via Arduino IoT Cloud and Telegram Bot. The testing results indicate high sensor accuracy, such as the soil moisture sensor showing linear behavior in the 0–66% range, and the DHT22 with ±0.5 °C temperature and ±2% humidity accuracy. The system activates irrigation only under critical fuzzy score conditions (≥6), such as when soil moisture is below 17.98%, temperature exceeds 30 °C, and no rain is detected; conversely, the pump is automatically deactivated when the soil reaches sufficient moisture levels, e.g., 60.85% at 27.1 °C, to prevent over-irrigation. Additionally, real-time pH sensor integration and Telegram-based notifications enhance the system’s remote supervision capability. Based on evaluation and field testing, the system demonstrates responsiveness to dynamic environmental changes, efficient water and energy usage, and is feasible as a smart farming solution for the advancement of precision agriculture in Indonesia.

    Baca Full Text klik disini
    [thumbnail of S_TE_2102249_Title.pdf] Text
    S_TE_2102249_Title.pdf
    Download (427kB)
    [thumbnail of S_TE_2102249_Chapter1.pdf] Text
    S_TE_2102249_Chapter1.pdf
    Download (221kB)
    [thumbnail of S_TE_2102249_Chapter2.pdf] Text
    S_TE_2102249_Chapter2.pdf
    Restricted to Staf Perpustakaan
    Download (447kB)
    [thumbnail of S_TE_2102249_Chapter3.pdf] Text
    S_TE_2102249_Chapter3.pdf
    Download (622kB)
    [thumbnail of S_TE_2102249_Chapter4.pdf] Text
    S_TE_2102249_Chapter4.pdf
    Restricted to Staf Perpustakaan
    Download (5MB)
    [thumbnail of S_TE_2102249_Chapter5.pdf] Text
    S_TE_2102249_Chapter5.pdf
    Download (192kB)
    [thumbnail of S_TE_2102249_Appendix.pdf] Text
    S_TE_2102249_Appendix.pdf
    Restricted to Staf Perpustakaan
    Download (5MB)
    Official URL: https://repository.upi.edu
    Item Type: Thesis (S1)
    Additional Information: Email penulis: muhammadhaqilaufar123@gmail.com ID SINTA Dosen Pembimbing: Aip Saripudin: 6002410
    Uncontrolled Keywords: Irigasi otomatis, Internet of Things, ESP32, logika fuzzy, Arduino IoT Cloud; Automatic irrigation, fuzzy logic.
    Subjects: L Education > L Education (General)
    T Technology > T Technology (General)
    T Technology > TK Electrical engineering. Electronics Nuclear engineering
    Divisions: Fakultas Pendidikan Teknik dan Industri > Jurusan Pendidikan Teknik Elektro > Program Studi Teknik Tenaga Elektrik
    Depositing User: Muhammad Haqil Aufar
    Date Deposited: 24 Oct 2025 04:22
    Last Modified: 24 Oct 2025 04:22
    URI: http://repository.upi.edu/id/eprint/143697

    Actions (login required)

    View Item View Item