Studi Komparasi Sensor Kelembapan Tanah Menggunakan ESP32

Authors

  • Bavitra Universitas Maritim Raja Ali Haji
  • Leo Anaris Sakti Universitas Maritim Raja Ali Haj
  • Dimas Saputra Universitas Maritim Raja Ali Haj
  • Zaki Ihwan Universitas Maritim Raja Ali Haj
  • Baharudin Universitas Maritim Raja Ali Haj
  • Muhammad Abiyyu Alharits Universitas Maritim Raja Ali Haj

DOI:

https://doi.org/10.55606/jurritek.v4i1.5292

Keywords:

Soil moisture, Moisture sensor, ESP32, One-way ANOVA, Internet of Things (IoT)

Abstract

Soil moisture is a crucial factor in agriculture that affects plant growth and crop productivity. In modern agricultural systems, accurate soil moisture monitoring is essential for optimizing water usage and enhancing the efficiency of automatic irrigation systems. This study aims to develop an Internet of Things (IoT)-based soil moisture monitoring system and evaluate the performance of three types of soil moisture sensors: Soil Moisture FC-28, Capacitive Soil Moisture Sensor, and Soil Moisture Hygrometer Module Sensor. The evaluation compares the accuracy and effectiveness of each sensor in measuring soil moisture. The research methodology involves measuring soil moisture in ten different soil samples using the three sensors simultaneously. The system is based on the ESP32 microcontroller, where data from the sensors are processed and displayed on an LCD Liquid Crystal I2C 20x4. Data analysis is conducted using the one-way ANOVA statistical method to determine whether there are significant differences among the measurement results of the three sensors.The results indicate that each sensor exhibits different measurement characteristics based on its working principle. The Soil Moisture FC-28 sensor, which operates on resistance, shows high sensitivity to changes in soil moisture but is susceptible to corrosion. The Capacitive Soil Moisture Sensor is more durable as it does not have direct contact with the soil, yet it requires more precise calibration. Meanwhile, the Soil Moisture Hygrometer Module Sensor provides more stable results under various environmental conditions. The one-way ANOVA analysis reveals no significant differences in the measurement results among the three sensors.

Downloads

Download data is not yet available.

References

Adrian Pramuditya, I. M., Raka Agung, I. G. A. P., & Rahardjo, P. (2023). RANCANG BANGUN ALAT UJI PERIFERAL ESP32 DEVKIT V1 - DOIT 30 PIN. Jurnal SPEKTRUM, 10(4), 340. https://doi.org/10.24843/SPEKTRUM.2023.v10.i04.p39

Amri Gunasti, Kia Candra K, Tiara Puspita S, Andi Batara R. A, & Veri Ardiansyah. (2024). Perbandingan Arus Kepadatan Jalan Pada Jalan Mastrip (ONE WAY-ANOVA). JOURNAL OF CIVIL ENGINEERING BUILDING AND TRANSPORTATION, 8(1), 74–80. https://doi.org/10.31289/jcebt.v8i1.10978

Arafat, A., Ratna, S., Wagino, W., & Ibrahim, I. (2021). PERANCANGAN DAN PENGUJIAN ALAT UNTUK MONITORING KELEMBABAN TANAH DAN PEMBERIAN PUPUK CAIR PADA TANAMAN CABAI BERBASIS INTERNET Of THINGS. Technologia: Jurnal Ilmiah, 12(4), 286. https://doi.org/10.31602/tji.v12i4.5639

Ardiyallah Akbar. (2023). INPLEMENTASI INTERNET OF THINGS UNTUK MONITORING KELEMBAPAN TANAH MENGGUNAKAN MIKROKONTROLER. Jurnal Kecerdasan Buatan dan Teknologi Informasi, 2(2), 91–97. https://doi.org/10.69916/jkbti.v2i2.32

Ariawan, A. (2024). Smart Sprout: Irigasi Cerdas Berbasis AIoT untuk Pertanian Modern dan Ramah Lingkungan. bit-Tech, 7(2), 434–444. https://doi.org/10.32877/bt.v7i2.1841

Candra, J. E., & Maulana, A. (2019). Penerapan soil moisture sensor untuk desain system penyiram tanaman otomatis. Prosiding Seminar Nasional Ilmu Sosial dan Teknologi, 2, 109–114.

Daniel, L. E. P., Mahmudin, A., & Auliasari, K. (2020). PENERAPAN IoT (Internet of Thing) TERHADAP SISTEM PENDETEKSI KESUBURAN TANAH PADA LAHAN PERKEBUNAN. JATI (Jurnal Mahasiswa Teknik Informatika), 4(2), 207–213. https://doi.org/10.36040/jati.v4i2.2678

Faroh Ladayya, Dian Handayani, Devi Eka Wardani Meganingtyas, Ishmah Azzah Kameela, Adine Ihsan Kamil, & Zikri Muhammad Madani. (2023). Pelatihan Analisis One-Way Anova dalam Rangka peningkatan Kualitas Penelitian Guru di Wilayah Kabupaten Kepulauan Seribu. Mitra Teras: Jurnal Terapan Pengabdian Masyarakat, 2(2), 32–41. https://doi.org/10.58797/teras.0202.03

Hardiwiguna, A., & Ramdhani Nugraha, A. (2024). PENENTUAN KELEMBABAN TANAH MENGGUNAKAN METODE FUZZY LOGIC DENGAN CAPACITIVE SOIL MOISTURE SENSOR DAN ARDUINO UNO R3. Jurnal Informatika dan Teknik Elektro Terapan, 12(3S1). https://doi.org/10.23960/jitet.v12i3S1.5425

Husdi, H. (2018). MONITORING KELEMBABAN TANAH PERTANIAN MENGGUNAKAN SOIL MOISTURE SENSOR FC-28 DAN ARDUINO UNO. ILKOM Jurnal Ilmiah, 10(2), 237–243. https://doi.org/10.33096/ilkom.v10i2.315.237-243

Kim, J. (2020). Analysis and Optimization of DC Supply Range for the ESP32 Development Board. https://doi.org/10.36227/techrxiv.12798410

Kusuma, H. A., Oktavia, D., Nugaraha, S., Suhendra, T., & Refly, S. (2023). Sensor BMP280 Statistical Analysis for Barometric Pressure Acquisition. IOP Conference Series: Earth and Environmental Science, 1148(1), 012008. https://doi.org/10.1088/1755-1315/1148/1/012008

Mahfud, F. (2023). Sistem Monitoring Kelembaban Tanah dengan Sensor Soil Moisture Berbasis Internet of Things. Jurnal Informatika Polinema, 10(1). https://doi.org/10.33795/jip.v10i1.1536

Mardiyati, E. N., Dewi, T., & Oktarina, Y. (2024). Analisa Prediksi Tegangan Input Sensor Capacitive Soil Moisture dengan Random Forest untuk Mendukung Pertanian Pintar. Journal of Applied Smart Electrical Network and Systems, 4(2), 47–53. https://doi.org/10.52158/jasens.v4i2.787

Meilianto, W. D., Indrasari, W., & Budi, E. (2022). Karakterisasi Sensor Suhu Dan Kelembaban Tanah Untuk Aplikasi Sistem Pengukuran Kualitas Tanah. Prosiding Seminar Nasional Fisika (E-Journal) SNF2022, X, 117–122. https://doi.org/10.21009/03.SNF2022

Milanes-Baños, N. A. (2024). Step-by-step one-way ANOVA analysis with the Jamovi program. Mexican Journal of Medical Research ICSA, 12(23), 22–26. https://doi.org/10.29057/mjmr.v12i23.10664

Nanda, A. P., Jeprianto, J., & Mahdi, M. I. (2024). SISTEM OTOMATIS PENYIRAMAN TANAMAN BERBASIS SENSOR KELEMBAPAN TANAH UNTUK PENINGKATAN PRODUKTIVITAS PERTANIAN. Technologia : Jurnal Ilmiah, 15(4), 764. https://doi.org/10.31602/tji.v15i4.16300

Radi, Murtiningrum, Ngadisih, Muzdrikah, F. S., Nuha, M. S., & Rizqi, F. A. (2018). Calibration of Capacitive Soil Moisture Sensor (SKU:SEN0193). 2018 4th International Conference on Science and Technology (ICST), 1–6. https://doi.org/10.1109/ICSTC.2018.8528624

Sulthoni, M. A., & Wicaksono, N. A. (2020). STUDI GEOMETRI PROBE UNTUK SENSOR KELEMBAPAN TANAH DENGAN METODE TIME DOMAIN REFLECTOMETRY. Transmisi, 22(1), 15–21. https://doi.org/10.14710/transmisi.22.1.15-21

Suryantoro, H. (2019). Prototype Sistem Monitoring Level Air Berbasis Labview dan Arduino Sebagai Sarana Pendukung Praktikum Instrumentasi Sistem Kendali. Indonesian Journal of Laboratory, 1(3), 20. https://doi.org/10.22146/ijl.v1i3.48718

Downloads

Published

2025-06-09

How to Cite

Bavitra, Leo Anaris Sakti, Dimas Saputra, Zaki Ihwan, Baharudin, & Muhammad Abiyyu Alharits. (2025). Studi Komparasi Sensor Kelembapan Tanah Menggunakan ESP32. JURAL RISET RUMPUN ILMU TEKNIK, 4(1), 685–691. https://doi.org/10.55606/jurritek.v4i1.5292

Similar Articles

1 2 3 4 5 6 > >> 

You may also start an advanced similarity search for this article.