Kalibrasi dan Validasi Sensor pH E-201C-Blue dan TDS Meter V1 pada Sistem Hidroponik Otomatis Berbasis IoT di Aswana Hidroponik

Mikha El Charisto Rahardjo; Bernaditus Yordan Baraga; Vincensius Agung Wibowo Joyopranoto; Christy Mahendra

Penulis

Mikha El Charisto Rahardjo Sekolah Tinggi Ilmu Komputer Yos Sudarso
Bernaditus Yordan Baraga Sekolah Tinggi Ilmu Komputer Yos Sudarso
Vincensius Agung Wibowo Joyopranoto Sekolah Tinggi Ilmu Komputer Yos Sudarso
Christy Mahendra Sekolah Tinggi Ilmu Komputer Yos Sudarso

Abstrak

This study aims to calibrate and validate the pH E-201C-Blue sensor and TDS Meter V1 implemented in an IoT-based automatic hydroponic system at Aswana Hydroponic, Purwokerto. The calibration process was carried out using a multi-point method with standard buffer solutions (pH 4, 7, and 10) and TDS solutions ranging from 500 to 1500 ppm to achieve optimal accuracy. An ESP32 microcontroller was used as the main controller and data transmitter to a cloud-based monitoring dashboard. The results showed that after calibration, the sensor achieved high accuracy with a correlation coefficient (R²) above 0.98 and an average error below 5%. These findings indicate that low-cost commercial sensors can provide reliable performance in automated hydroponic system, supporting time efficiency and improving crop productivity at Aswana Hydroponic, Purwokerto.

Unduhan

Data unduhan belum tersedia.

Referensi

Muhammad, E. López Barrera, dan N. L. W. Wilson, “Annual Review of Resource Economics Global Food Demand: Overcoming Challenges to Healthy and Sustainable Diets,” 2025, doi: 10.1146/annurev-resource-112923.

P. Lestari, A. Riduan, Elliyanti, dan D. Martino, “Pengembangan Sistem Pertanian Hidroponik pada Lahan Sempit Komplek Perumahan,” SAINTIFIK, vol. 6, no. 2, hlm. 136–142, Agu 2020, doi: 10.31605/saintifik.v6i2.259.

M. K. Opung, G. Wijana, dan I. M. Sukewijaya, “Pengaruh Electrical Conductivity (EC) dan Jumlah Bibit per Net Pot terhadap Pertumbuhan dan Hasil Tanaman Pakcoy (Brassica rapa L.) pada Hidroponik Deep Flow Technique,” Agro Bali : Agricultural Journal, vol. 7, no. 1, hlm. 276–285, Mar 2024, doi: 10.37637/ab.v7i1.1342.

Andena Nur Hikmatunnisa, Wilva Ramadayanti, dan Rina Nuryati, “Analisis Manajemen Produksi Pertanian Hidroponik Berbasis IoT (Internet of Things) di Wisata Edukasi Arjuna Farm Kecamatan Tamansari Kota Tasikmalaya,” Mikroba : Jurnal Ilmu Tanaman, Sains Dan Teknologi Pertanian, vol. 1, no. 3, hlm. 111–125, Des 2024, doi: 10.62951/mikroba.v1i3.164.

Muhammad Hurairah, Ardian Eza Pratama, dan Eliza, “Otomasi Sistem Hidroponik Berbasis Mikrokontroler ESP32,” Jurnal Surya Energy, vol. 9, no. 1, hlm. 1–7, Sep 2024, doi: 10.32502/jse.v9i1.172.

Saputra, “KARAKTERISASI SENSOR TDS SEN-0244 DAN SENSOR PH-4502C DALAM IMPLEMENTASINYA PADA PENANAMAN HIDROPONIK,” 2024. doi: 10.21009/03.1201.FA22.

R. Nandika dan E. Amrina, “SISTEM HIDROPONIK BERBASIS INTERNET of THINGS (IoT),” SIGMA TEKNIKA, vol. 4, no. 1, hlm. 1–8, Jun 2021, doi: 10.33373/sigmateknika.v4i1.3253.

M. W. Hamdani, “Perancangan dan Implementasi Metode Kontrol Fuzzy Logic Mamdani pada Sistem Kontrol TDS dan pH Hidroponik,” JTT (Jurnal Teknologi Terpadu), vol. 10, no. 2, hlm. 171–183, Okt 2022, doi: 10.32487/jtt.v10i2.1555.

T. Sangeetha dan E. Periyathambi, “Automatic nutrient estimator: distributing nutrient solution in hydroponic plants based on plant growth,” PeerJ Comput Sci, vol. 10, 2024, doi: 10.7717/peerj-cs.1871.

S. Jan dkk., “Hydroponics – A Review,” Int J Curr Microbiol Appl Sci, vol. 9, no. 8, hlm. 1779–1787, Agu 2020, doi: 10.20546/ijcmas.2020.908.206.

Ridho Victory Nazara, Putra Hidayat Telaumbanua, Kurnia Selekta E. Harefa, Dorthi Ester Junita Daeli, dan Robert Alberth Sole, “Efektivitas Lama Pemberian Nutrisi terhadap Produktivitas Pakcoy (Brassica rapa L.) pada Media Tumbuh Organik Secara Hidroponik Sistem NFT (Nutrient Film Technique),” AGRIUM: Jurnal Ilmu Pertanian, Okt 2024, doi: 10.30596/agrium.v27i2.21551.

K. Sharma, R. Yadav, Shubham, dan S. Kaushal, “Optimizing Hydroponic Crop Production: A Multifaceted Approach to EC, pH and Nutrient Management,” J Sci Res Rep, vol. 31, no. 4, hlm. 716–726, Apr 2025, doi: 10.9734/jsrr/2025/v31i42995.

S. S. Yaakup, N. A. Halim, dan P. Ding, “Effect of Nutrient Solution pH on the Growth and Quality of Lactuca sativa Grown in a Static Hydroponic System,” Pertanika J Trop Agric Sci, vol. 47, no. 4, hlm. 1175–1189, Nov 2024, doi: 10.47836/pjtas.47.4.08.

D. Astuti, “KUALITAS AIR IRIGASI DITINJAU DARI PARAMETER DHL, TDS, pH PADA LAHAN SAWAH DESA BULUMANIS KIDUL KECAMATAN MARGOYOSO,” Jurnal Litbang: Media Informasi Penelitian, Pengembangan dan IPTEK, vol. 10, no. 1, hlm. 35–42, Des 2018, doi: 10.33658/jl.v10i1.75.

R. E. Putri, H. M. Harahap, dan I. Putri, “Pengembangan Sistem Kontrol Nutrisi Budidaya Hidroponik Berbasis IoT (Internet of Things) Sawi Samhong (Brassicasinesis L.),” Jurnal Keteknikan Pertanian Tropis dan Biosistem, vol. 11, no. 2, hlm. 197–206, Agu 2023, doi: 10.21776/ub.jkptb.2023.011.02.09.

M. Miftah Syahfiqri, E. Kuswara, M. Iqbal Nugraha, dan Z. Saputra, “Rangkaian Pengkondisi Sinyal dan Regresi Linier sebagai Metode Peningkatan Akurasi Pembacaan Sensor TDS pada Sistem Hidroponik,” Jurnal Inovasi Teknologi Terapan, vol. 1, no. 1, hlm. 130–138, Feb 2023, doi: 10.33504/jitt.v1i1.83.

D. Chicco, M. J. Warrens, dan G. Jurman, “The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation,” PeerJ Comput Sci, vol. 7, hlm. e623, Jul 2021, doi: 10.7717/peerj-cs.623.

S. A. R. L. Román, S. Z. Collazos, dan J. A. C. Chavez, “Model for Reducing Mean Absolute Percentage Error through Smoothing and Time Series Forecasting In a Tourism SME: A Case Study,” Journal of Machine Intelligence and Data Science, vol. 5, 2024, doi: 10.11159/jmids.2024.012.