Rancang Bangun Sistem Monitoring Dan Kontrol Suhu, TDS Dan CO2 Pada Hidroponik Berbasis IoT Menggunakan Metode Fuzzy Logic Control

Safinaturrohmah, Annisa (2025) Rancang Bangun Sistem Monitoring Dan Kontrol Suhu, TDS Dan CO2 Pada Hidroponik Berbasis IoT Menggunakan Metode Fuzzy Logic Control. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Jumlah penduduk di Indonesia kini telah mencapai 281,6 juta jiwa pada pertengahan 2024. Tentu hal ini menjadi ancaman krisis pangan karena kebutuhan pangan semakin meningkat dan semakin banyak lahan pertanian yang beralih fungsi. Sekitar 75% dari lahan yang terkonversi beralih ke perumahan, terutama di Pulau Jawa. Terdapat beberapa solusi untuk mengatasi ancaman krisis pangan ini di antaranya adalah pertanian modern (modern agriculture). Salah satu metode pertanian modern adalah hidroponik. Penelitian ini bertujuan mengembangkan sistem monitoring dan kontrol suhu, TDS dan CO2 untuk hidroponik menggunakan kontrol logika fuzzy dan IoT. Metode penelitian meliputi kalibrasi sensor, karakterisasi aktuator dan plant, serta pengujian open loop dan closed loop. Hasil penelitian menunjukkan bahwa sistem kontrol logika fuzzy efektif dalam menjaga parameter lingkungan tetap dalam keadaan optimal. Pada pengujian sensor untuk sensor suhu didapatkan ketidakpastian sebesar 1,729°C, untuk sensor TDS sebesar 3,620 ppm, dan CO2 sebesar 3,668 ppm. Sistem kontrol dirancang untuk menjaga parameter dalam rentang optimal, yaitu suhu air pada 24 ± 4 °C, TDS pada 1225 ± 175 ppm, dan CO₂ pada <1000 ppm. Hasil pengujian menunjukkan bahwa sistem kontrol berhasil menjaga suhu pada 27 °C dan TDS pada 1228 ppm, yang berada dalam batas optimal. Sementara itu, pembacaan sensor CO₂ menunjukkan nilai berkisar antara 400–900 ppm. Berdasarkan hasil pengujian, sistem menunjukkan performansi yang baik. Untuk sistem kontrol suhu didapatkan nilai undershoot sebesar 0,26 %, rise time sebesar 6480 detik, settling time sebesar 7710 detik dan error steady state 2,37 %. Untuk sistem kontrol TDS didapatkan nilai maximum overshoot sebesar 4,43%, rise time sebesar 270 detik, settling time sebesar 300 detik dan error steady state 2,34 %. Sistem ini memiliki packet loss 0,3 % dan delay 158,08 ms yang mengindikasikan bahwa kemampuan transmisi data sudah sangat baik dan sesuai dengan yang telah ditetapkan yaitu packet loss < 3% dan delay < 300 ms.
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Indonesia's population has now reached 281.6 million by mid-2024. This poses a threat of a food crisis due to increasing food demand and the conversion of more agricultural land. Approximately 75% of converted land has been converted to housing, especially on the island of Java. Several solutions exist to address this food crisis, including modern agriculture. One such method is hydroponics. This study aims to develop a temperature, TDS, and CO2 monitoring and control system for hydroponics using fuzzy logic control and IoT. The research methods include sensor calibration, actuator and plant characterization, and open-loop and closed-loop testing. The results show that the fuzzy logic control system is effective in maintaining optimal environmental parameters. Sensor testing revealed an uncertainty of 1,729°C for the temperature sensor, 3,620 ppm for the TDS sensor, and 3,668 ppm for CO2. The control system is designed to maintain parameters within the optimal range, namely water temperature at 24±4°C, TDS at 1225±175 ppm, and CO₂ at <1000 ppm. The test results show that the control system successfully maintains the temperature at 27°C and TDS at 1228 ppm, which are within the optimal limits. Meanwhile, CO₂ sensor readings show values ranging from 400–900 ppm. Based on the test results, the system shows good performance. For the temperature control system, the undershoot value is 0.26%, the rise time is 6480 seconds, the settling time is 7710 seconds and the steady state error is 2.37%. For the TDS control system, the maximum overshoot value is 4.43%, the rise time is 270 seconds, the settling time is 300 seconds and the steady state error is 2.34%. This system has a packet loss of 0.3% and a delay of 158.08 ms, which indicates that the data transmission capability is very good and in accordance with what has been set, namely packet loss <3% and delay <300 ms.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Fuzzy logic control, hidroponik, internet of things, kontrol, monitoring, control, fuzzy logic control, hydroponics, internet of things, monitoring
Subjects:	T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL521.3 Automatic Control
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Annisa Safinaturrohmah
Date Deposited:	05 Aug 2025 08:30
Last Modified:	05 Aug 2025 08:30
URI:	http://repository.its.ac.id/id/eprint/127348

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