RANCANG BANGUN SISTEM KENDALI NUTRISI BERBASIS FUZZY LOGIC & IOT PADA SMART SHOWCASE HIDROPONIK

MAULANA, MUHAMMAD NAUFAL and Exaudi, Kemahyanto and Prasetyo, Aditya Putra Perdana (2024) RANCANG BANGUN SISTEM KENDALI NUTRISI BERBASIS FUZZY LOGIC & IOT PADA SMART SHOWCASE HIDROPONIK. Undergraduate thesis, Sriwijaya University.

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Abstract

Hydroponic method is a way of farming without using soil that can be applied both outdoors and indoors. One of the main factors supporting the growth of hydroponic plants is the provision of nutrients. This study uses lettuce plants as the research object. Therefore, this research aims to design a nutrient control system using the Blynk IoT (Internet of Things) platform to monitor the periodic provision of AB Mix nutrients according to the needs of hydroponic plants. This system utilizes the Mamdani fuzzy logic method with water pH value and TDS/PPM (Parts Per Million) value as input memberships and pump duration as the output. The designed system is capable of monitoring nutrient delivery by displaying pump status, water pH value, and nutrient solution concentration on the Blynk IoT platform. The testing, which lasted for 14 days, showed that this fuzzy logic-based nutrient control system is effective in maintaining the nutrient balance needed by the plants, with a pH range of 6.33-6.67 and ppm values of 298-378. The results indicate that the developed system successfully manages the automatic provision of AB Mix nutrients according to the needs of the plants, specifically lettuce. Fuzzy testing data was collected every 10 minutes for 1 hour, producing a total of 6 data points overall, with a success rate of 98.8%.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Blynk, Fuzzy Logic, Kendali Nutrisi, Smart Showcase Hidroponik, Sensor pH 4502c, TDS Meter v1.0.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885-7895 Computer engineering. Computer hardware
Divisions: 09-Faculty of Computer Science > 56401-Computer Engineering (D3)
Depositing User: Muhammad Naufal Maulana
Date Deposited: 02 Aug 2024 08:47
Last Modified: 02 Aug 2024 08:47
URI: http://repository.unsri.ac.id/id/eprint/153928

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