Fathimah, Raissa Rana (2025) Rancang Bangun Sistem Monitoring Dan Kontrol Suhu, Kelembapan, Dan, Intensitas Cahaya Pada Hidroponik Berbasis IoT Menggunakan Fuzzy Logic Control. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Penelitian ini bertujuan mengembangkan sistem monitoring dan kontrol suhu, kelembapan, dan intensitas cahaya pada hidroponik berbasis Internet of things (IoT) menggunakan fuzzy logic control. Sistem hidroponik yang digunakan adalah Nutrient Film Technique (NFT) dengan tanaman pakcoy sebagai objek penelitian. Parameter yang dikontrol meliputi suhu, kelembapan relatif, dan intensitas cahaya. Sistem terdiri dari mikrokontroler ESP32 sebagai pengendali, sensor DHT22 untuk mengukur suhu dan kelembapan, sensor BH1750 untuk mengukur intensitas cahaya, serta aktuator berupa motor driver yang terhubung dengan lampu LED dan kipas DC. Metode kontrol menggunakan logika fuzzy Mamdani dengan input berupa error dan delta error, kemudian menghasilkan output berupa sinyal PWM untuk menggerakkan aktuator. Data monitoring ditransmisikan secara real-time ke platform ThingSpeak untuk pemantauan jarak jauh. Hasil kalibrasi menunjukkan sensor DHT22 memiliki ketidakpastian 0,465°C untuk suhu dan 4,22% untuk kelembapan, sedangkan sensor BH1750 memiliki ketidakpastian 328 lux. Pengujian sistem kontrol close loop menunjukkan performansi yang baik dengan rise time masing-masing parameter suhu, kelembapan, dan intensitas cahaya berturut-turut 18 detik, 180 detik, dan 90 detik, settling time 1746 detik, 2484 detik, dan 135 detik, dan error steady state 12%, 2,4%, dan 2,56% serta RMSE 2,51C, 15,3%, dan 939,48 lux. Walaupun nilai performansi sistem kontrol suhu dan kelembapan menunjukkan angka yang cukup tinggi, sistem masih dinilai bagus dan layak digunakan karena dapat menjaga suhu dan kelembapan tetap berada pada rentang optimalnya.. Sistem IoT menunjukkan performansi sangat baik dengan throughput 219 bps, delay 100-200 ms, dan packet loss 0,70%
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This research aims to develop an Internet of things (IoT)-based monitoring and control system for temperature, humidity, and light intensity in hydroponics using fuzzy logic control. The hydroponic system employed is Nutrient Film Technique (NFT) with pakcoy plants as the research object. The controlled parameters include temperature, relative humidity, and light intensity. The system consists of an ESP32 microcontroller as the controller, DHT22 sensor for measuring temperature and humidity, BH1750 sensor for measuring light intensity, and actuators comprising LED lamps and DC fan using motor driver. The control method utilizes Mamdani fuzzy logic with error and delta error as inputs, then generates PWM signal output to drive the actuators. Monitoring data is transmitted in real-time to the ThingSpeak platform for remote monitoring. Calibration results show that the DHT22 sensor has an uncertainty of 0.465°C for temperature and 4.22% for humidity, while the BH1750 sensor has an uncertainty of 328 lux. Closed-loop control system testing demonstrates good performance with rise time of for temperature, humidity, and light intensity each 18 seconds, 180 seconds, and 90 second, the settling time 1746 seconds, 2484 seconds, and 135 seconds respectively. The achieved steady-state error is 12% for temperature,2,5 % for humidity, and 2,56% for light intensity. Although the performance values of the temperature and humidity control system are relatively high, the system is still considered good and suitable for use because it can maintain temperature and humidity within their optimal ranges. The IoT system shows excellent performance with throughput of 219 bps, delay of 100-200 ms, and packet loss of 0.70%.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Fuzzy logic control, hidroponik,hydroponics, Internet of things,NFT |
| Subjects: | T Technology > TJ Mechanical engineering and machinery > TJ213 Automatic control. |
| Depositing User: | Raissa Rana Fathimah |
| Date Deposited: | 05 Aug 2025 08:25 |
| Last Modified: | 05 Aug 2025 08:25 |
| URI: | http://repository.its.ac.id/id/eprint/127456 |
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