Irigasi Tanaman Agriculture Dengan Logika Fuzzy Terintegrasi Internet of Things

Prasetyo, Angga, Cobantoro, Adi Fajaryanto, Litanianda, Yovi, Yusuf, Arief Rahman, Setyawan, Moh. Bhanu and Az-Zahra, Rifqi Rahmatika (2022) Irigasi Tanaman Agriculture Dengan Logika Fuzzy Terintegrasi Internet of Things. In: Kontribusi Digital Marketing dan Finansial Teknologi Guna Mendukung Sektort Industri Kreatif yang Berkelanjutan, Sabtu, 24 Setember 2022, STIKI Malang.

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Abstract

Chili, mustard greens, tomatoes, are the mainstay of farmers' cultivation, although they require a lot of water and labor.Based on these conditions, farming techniques are very suitable to use the smart agriculture system (SAS) model, where this applies technology such as automatic irrigation in regulating watering and only based on daily routines regardless of land conditions. The application of SAS still has a weakness, namely the microcontroller is less responsive in controlling plant ecosystems during the transition season, when air temperature and humidity conditions change drastically in a fast time or known as overshoot temperature. This condition can cause root rot and trigger fungisarium disease in chili plants. The solution, try to present a system that involves artificial intelligence such as fuzzy logic in the form of an embedded system with internet of things (IoT) monitoring. Fuzzy logic mathematically will regulate irrigation based on humidity and temperature conditionsland. Starting with the Fuzzification stage to map the input temperature and humidity values from the sensor. Followed by making the Inference engine on the NodeMcu 8266 microcontroller to interpret the fuzzy rule statement in the form of an aggregation of minimum conditions with the AND operator, then combined with a single set value of 0 and 1 on the fuzzy system to become the appropriate actuator response. After the whole system is prototyped, then testing is carried out to find out how well the fuzzy program code can respond to changes in the simulated agricultural land ecosystem changes. This researchfound the result that the fuzzy logic program code embedded in the nodeMCU8266 microcontroller managed to adjust the duration of spraying carried out by the pump as response to various simulated environmental conditions within 3.6 seconds.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	fuzzy, irrigation, IoT, agriculture, chili
Subjects:	T Technology > T Technology (General)
Divisions:	Proceeding
Depositing User:	fisip . userfisip
Date Deposited:	03 Apr 2023 03:47
Last Modified:	03 Apr 2023 03:47
URI:	http://eprints.umpo.ac.id/id/eprint/11499

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