International Journal of Electrical and Computer Engineering (IJECE) Vol. 12, No. 3, June 2022, pp. 3146~3157 ISSN: 2088-8708, DOI: 10.11591/ijece.v12i3.pp3146-3157  3146 Journal homepage: http://ijece.iaescore.com Smart hydroponic based on nutrient film technique and multistep fuzzy logic Prabadinata Atmaja 1 , Nico Surantha 1,2 1 Computer Science Department, Bina Nusantara University, Jakarta, Indonesia 2 Department of Electrical, Electronic and Communication Engineering, Faculty of Engineering, Tokyo City University, Tokyo, Japan Article Info ABSTRACT Article history: Received Jun 12, 2021 Revised Jan 19, 2022 Accepted Feb 7, 2022 Automation in hydroponics is have been a great change. Research with fuzzy logic control it is designed to add to each parameter one by one. In a way microcontroller will activate one by one relay to regulate the parameters with fuzzy logic. While parameter calibration is done, calibration is needed for the next checking if the parameter were not optimal, until it is parameter optimal. Multistep fuzzy is used to counter measure the same activation of the relay. With adding real time data monitoring to the system. From test result evaluating multistep fuzzy logic method were 100% works as expected. With another testing approach for best module for sending real time data monitoring for hydroponics. From the real time data transmission method, the success of sending data is 30% from the ESP82166 and 75% of the NRF24L01 with a shortage of the NRF24L01 data loss. For the relay activation can be accommodate with dynamic programming. As for multistep fuzzy logic for hydroponic tested to reach optimal water condition for kale crops resulting in average 12.8 iterations calibration from condition where researches add water only from the start. Keywords: Arduino Automation Fuzzy logic Hydroponic Nutrient film technique Raspberry Pi This is an open access article under the CC BY-SA license. Corresponding Author: Nico Surantha Computer Science Department, Bina Nusantara University K. H. Syahdan Street, No 9 Kemanggisan/Palmerah, West Jakarta 11480, Indonesia Email: nico.surantha@binus.ac.id 1. INTRODUCTION Nowadays, agriculture is a traditional way to produce vegetable to meet our needs. With the rate of resource needs is more than 70% [1] and the solution to reduce resource in agriculture is develop smart irrigation system [2]. Other method is using hydroponics for growing and producing vegetable to meet our daily needs with an efficient land and resource use. As now there are two types of hydroponics that can be implemented to grow crops. There are deep flow technique (DFT) [3] that requires roots to be fully submerged in the water. On one method called nutrient film technique (NFT) [4], [5] used to grow crops without submerging the roots like in DFT technique, so roots will be just flowed with water not submerged. Previous research calculated parameter from water level [6], pH level [7]. [8] and electrical conductivity (EC) level in hydroponics water [9] others research will add some humidity, light and temperature sensor to test watercress crops. Some of them create automation with monitoring system [10], [11] which would help to automate or manually control actuators to maintain threshold. With automation system frequently build with Arduino or Raspberry Pi as main processing system or with another parent [6] for accommodating long range [10] monitoring system. Recent method fuzzy [12]–[15] were used for fully automated monitoring system in hydroponics system. With fuzzy logic controller it is know best application for defining detail between true or false and in hydroponics it is better to use fuzzy logic controller as it is method to support decision making. Differentiation in fuzzy logic clearly define the range between a hot and