Sistem Irigasi Otomatis Berbasis Internet of Things (IoT) untuk Tanaman Cabai Menggunakan ESP32 dengan Kendali Kelembapan dan Suhu Tanah di Desa Boja

Authors

DOI:

https://doi.org/10.59431/jmasif.v5i2.1040

Keywords:

ESP32, Internet of Things, Blynk, Automatic Irrigation

Abstract

Chili pepper (Capsicum annuum L.) requires controlled soil moisture to support proper growth, while soil temperature can serve as a supporting environmental parameter. This study aims to design and develop an Internet of Things (IoT)-based automatic irrigation system using an ESP32 microcontroller for chili cultivation in Boja Village. The system employs a soil moisture sensor as the primary parameter to determine irrigation needs, and a DS18B20 sensor as a supporting parameter to determine irrigation duration. Sensor data are displayed on a 16×2 I2C LCD and transmitted to the Blynk application via Wi-Fi for real-time monitoring, with both automatic and manual operating modes. Functional testing was conducted using 600-gram soil samples in small pots under six combinations of soil moisture and temperature conditions, followed by connectivity and manual-control tests. Product validation used a four-point Likert questionnaire with one internal validator (the supervising lecturer) and one external validator (the user). Both validations produced a score of 37 out of 40 (92.5%). The prototype successfully performs all tested functional scenarios according to the designed control logic, while quantitative sensor accuracy, response time, and water-use efficiency still require further evaluation.

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Author Biographies

  • Muhamad Arjun Naja, Universitas Sains dan Teknologi Komputer

    Program Studi Sistem Komputer, Fakultas Studi Akademik, Universitas Sains dan Teknologi Komputer, Kota Semarang, Jawa Tengah, Indonesia.

  • Priyadi Priyadi, Universitas Sains dan Teknologi Komputer

    Program Studi Sistem Komputer, Fakultas Studi Akademik, Universitas Sains dan Teknologi Komputer, Kota Semarang, Jawa Tengah, Indonesia.

  • Candra Supriadi, Universitas Sains dan Teknologi Komputer

    Program Studi Sistem Komputer, Fakultas Studi Akademik, Universitas Sains dan Teknologi Komputer, Kota Semarang, Jawa Tengah, Indonesia.

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Published

2026-10-10

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Articles

How to Cite

Naja, M. A., Priyadi, P., & Supriadi, C. (2026). Sistem Irigasi Otomatis Berbasis Internet of Things (IoT) untuk Tanaman Cabai Menggunakan ESP32 dengan Kendali Kelembapan dan Suhu Tanah di Desa Boja. Jurnal Manajemen Sistem Informasi (JMASIF), 5(2), 105-124. https://doi.org/10.59431/jmasif.v5i2.1040

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