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Putri, Astriana Rahma
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Perancangan Logika Fuzzy Untuk Sistem Pengendali Kelembaban Tanah dan Suhu Tanaman Nasron, Nasron; Suroso, Suroso; Putri, Astriana Rahma
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 3, No 4 (2019): Oktober 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v3i4.1245

Abstract

Soil moisture and temperature are parameters needed by plants in terms of plant growth. In determining soil moisture and temperature according to plants, a control system is needed. This control system uses the Raspberry Pi as an input data processor to output. This control system is designed using fuzzy logic as a decision-making method to maintain soil moisture and temperature that is good for plants. Fuzzy logic is one of the decision support systems that is suitable to be applied to the control system. Fuzzy logic consists of fuzzyfication, formation of fuzzy rules and defuzification. This fuzzy logic uses two inputs and two outputs. The two inputs are soil moisture level and temperature degree. The desired output is the time needed to maintain soil moisture and temperature to keep it in accordance with the needs of the plant
Sistem Kendali Temperatur, Kelembaban Tanah, Dan Cahaya Otomatis Menggunakan Raspberry Pi Pada Smart Greenhouse Nasron, Nasron; Suroso, Suroso; Putri, Astriana Rahma
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 13 No. 3 (2019)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v13i3.580

Abstract

Conventional greenhouse technology replaced by the development of smart greenhouses. In this greenhouse there is an automatic control system. Measured factors of plant growth can be controlled such as temperature, soil moisture and sunlight. Weather which often cannot be predicted causes these factors to interfere with plant growth. In this study a system for controlling temperature, soil moisture and light was made to suit the needs of plants. As a control method using the fuzzy method. This method is suitable to be applied to the control system. In detecting temperature using a DHT11 sensor, detection of soil moisture uses the YL-69 sensor and light detection using an LDR type sensor. Raspberry Pi is the main brain in this control system. The Raspberry used is the Raspberry Pi 3 Model B + which has better than the previous version. The fuzzy method designed is processed into the Raspberry Pi to produce fan output and water pumps. In the lighting system, the light will turn on if sunlight is less than the plant's needs. In the system created this has been going well. This control system is able to measure the degree of temperature, soil moisture level, and light, and control the system according to predetermined parameters
Co-Authors Nasron Nasron Suroso Suroso