Hydroponic Nutrition Water Quality Identification System on Cayenne Pepper Using Fuzzy Method Based on IoT

Mohammad Ardiansyah, I. Gede Wiryawan, Khafidurrohman Agustianto, Prawidya Destarianto, Shabrina Choirunnisa, Fitri Krismiratsih

2022

Abstract

This study aims for an Internet of Things system for determining the nutritional water quality of hydroponic cayenne pepper plants based on fuzzy logic. Variable values were obtained from the readings of three sensors, water temperature, TDS, and pH. Hydroponic cayenne pepper plants can grow optimally at a water temperature from 18 to 28 C̊, with a pH of 5 - 7. Nutrient levels in cayenne pepper will increase according to the age of the chili. The IoT system can provide corrections to any variables outside the specified range by giving commands from Arduino to the actuator. The actuators that run the water pump turn on and off, the addition of nutrients and water levels, and the process of neutralizing the pH with KOH and HCl compounds. The results of testing the IoT system send data to the website successfully, and then it is processed using fuzzy logic. This study found that the average accuracy of the three sensors was 93.61%.

Paper Citation

in Harvard Style

Ardiansyah M., Gede Wiryawan I., Agustianto K., Destarianto P., Choirunnisa S. and Krismiratsih F. (2022). Hydroponic Nutrition Water Quality Identification System on Cayenne Pepper Using Fuzzy Method Based on IoT. In Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES; ISBN 978-989-758-619-4, SciTePress, pages 1043-1051. DOI: 10.5220/0012056600003575

in Bibtex Style

@conference{icast-es22,
author={Mohammad Ardiansyah and I. Gede Wiryawan and Khafidurrohman Agustianto and Prawidya Destarianto and Shabrina Choirunnisa and Fitri Krismiratsih},
title={Hydroponic Nutrition Water Quality Identification System on Cayenne Pepper Using Fuzzy Method Based on IoT},
booktitle={Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES},
year={2022},
pages={1043-1051},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012056600003575},
isbn={978-989-758-619-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES
TI - Hydroponic Nutrition Water Quality Identification System on Cayenne Pepper Using Fuzzy Method Based on IoT
SN - 978-989-758-619-4
AU - Ardiansyah M.
AU - Gede Wiryawan I.
AU - Agustianto K.
AU - Destarianto P.
AU - Choirunnisa S.
AU - Krismiratsih F.
PY - 2022
SP - 1043
EP - 1051
DO - 10.5220/0012056600003575
PB - SciTePress