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All Journal Mechatronics, Electrical Power, and Vehicular Technology Jurnal Keteknikan Pertanian Jurnal Ilmiah Rekayasa Pertanian dan Biosistem
Prastono, Haryo
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Agriculture, Biological Sciences & Forestry Electrical & Electronics Engineering

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Sistem Kendali Fertigasi Presisi Berbasis Logika Fuzzy untuk Budidaya Tanaman Hidroponik Prastono, Haryo; Solahudin, Mohamad; Supriyanto, Supriyanto
Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Vol 12 No 2 (2024): Jurnal Ilmiah Rekayasa Pertanian dan Biosistem
Publisher : Fakultas Teknologi Pangan & Agroindustri (Fatepa) Universitas Mataram dan Perhimpunan Teknik Pertanian (PERTETA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jrpb.v12i2.639

Abstract

The fertigation control system has been extensively developed, particularly for hydroponic plant cultivation. However, existing studies often overlook the characteristics of the interaction between the environment and plants. Evapotranspiration and the moisture status of the growing medium are two critical parameters in determining the volume of fertigation. As a control system, fuzzy logic can manage fertigation based on these two parameters. This study aims to deliver water and nutrients to plants more effectively and efficiently, aligning with current environmental conditions and plant needs. The research was conducted through several stages: defining design criteria, creating a fuzzy logic design, simulating the fuzzy logic-based fertigation control system, and testing the system. Simulation results indicate that when the moisture content of the growing medium is between 26% and 31%, the fertigation duration varies according to evapotranspiration values. When the moisture content exceeds 32%, fertigation does not occur regardless of evapotranspiration values. Testing results demonstrate that the fuzzy logic used in this control system is efficient in delivering fertigation, as evidenced by minimal runoff compared to systems without control. Additionally, the moisture status of the growing medium consistently remains within the available water zone or at the optimum condition for plant water absorption, with a mean absolute percentage error of 1.98%. The designed fuzzy logic control system is also effective in providing fertigation, with the total volume ranging from 132 to 308.4 ml/day, closely matching the daily evapotranspiration rate. Based on plant physiological measurements, the fuzzy logic control system outperforms fertigation without control.
Evaluation of Nutrient Dosing Methods for Hydroponic Crop Cultivation Prastono, Haryo; Solahudin, Mohamad; Supriyanto
Jurnal Keteknikan Pertanian Vol. 11 No. 3 (2023): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.011.3.279-293

Abstract

The application of control systems for hydroponic cultivation in greenhouses has developed rapidly, and one of them is the nutrient-dosing control system. Various nutrient dosing control systems, such as on/off, fuzzy logic, and K-NN, have been widely discussed by many researchers. Nevertheless, there has been limited discourse regarding the employed dosing methods, namely sensor-based nutrient dosing and nutrient dosing based on the nutritional dilution equation. The objective of this study was to assess the effectiveness and efficiency of three nutrient dosing methods that can be used in control systems: nutrient dosing based on nutrient dilution equations (method α), sensor-based (method β), and a mixed nutrient dosing method combining the two previous methods (method γ). This research begins by identifying several nutrient dosing methods that can be used in control systems. After that, the dosing methods were tested, and data analysis was carried out. Based on the three methods proposed in this study, method γ has the best results with a mean absolute percentage error (MAPE) of 0.77% and a root mean square error (RMSE) of 4.3, respectively, in relation to the targeted concentration of the nutrient solution. Method β has slightly higher results, with a MAPE of 0.82% and an RMSE of 4.62. Method α has the worst results, with a MAPE of 13.42% and a RMSE of 74.98. However, if the desired target nutrient concentration is less than 300 ppm, method β is the most suitable option compared to the other methods.
Design and performance of nutrient dosing control system for hydroponic chilli plant using fuzzy logic controller Prastono, Haryo; Solahudin, Mohamad; Supriyanto, Supriyanto
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.910

Abstract

The application of irrigation and nutrient provision is crucial for cultivating plants using hydroponic systems. This significance arises from the absence of natural nutrients in hydroponic growing media, which necessitates precise and tailored nutrient administration. This study aimed to discuss the design and construction of a nutrient dosing system employing both an on-off-based nutrient mixing control and a fuzzy logic-based fertigation control. Nutrient dosing system design entails establishing design criteria, functional and structural design, prototyping, programming, and testing. Performance testing involved a mixture of cocopeat and rice husk charcoal growing medium, with a 2-month-old chilli plant as the testing subject. The nutrient mixing control system resulted in a ready-to-use nutrient solution with a concentration of 1538.45 ppm, which slightly deviated from the 1500 ppm target. The total time required for nutrient mixing amounted to 3685.8 seconds. The calculations revealed a percentage error of 2.56 % for this nutrient mixing control system. The tested fertigation control system successfully maintained the moisture content of the growing medium within the available water zone with an error rate of 2.17 %. Observations over three days demonstrated that the control system activated fertigation processes twice daily, predominantly in the morning and evening. The total volume of fertigation administered ranged from 217 cm3 to 287 cm3 daily. All the components of the nutrient dosing system functioned effectively and performed well.
Co-Authors Jayawarsa, A.A. Ketut Mohamad Solahudin Supriyanto Supriyanto