Implementation of Sugeno Fuzzy Logic Method as an Automatic Humidity and Moisture Control System in Terrarium
DOI:
Abstract
A terrarium is a mini ecosystem that requires precise humidity control to ensure plant growth and the survival of animals within it. However, manual humidity control is difficult to implement consistently, especially if the external environment changes. This problem can be overcome by implementing an automatic system based on Sugeno fuzzy logic. This research aims to design and implement an automatic system that is able to control terrarium humidity dynamically using a fuzzy logic approach. This system is designed using humidity sensor data as input which is then processed through Sugeno fuzzy logic to determine appropriate control actions. The method used involves modeling input humidity and temperature sensors, determining fuzzy rules, and defuzzification using the Sugeno method to regulate the automatic irrigation system in the terrarium. Tests were conducted under several different environmental conditions to measure the system's response to changes in humidity and temperature. The research results show that the system is able to maintain terrarium humidity within optimal limits with a low error rate. The system is able to adjust control actions in real-time, produce consistent calculations, and provide humidity stability despite external changes.
Downloads
Views : 56
Downloads : 33
References
I. W. Yoga Widiana, I. G. A. P. Raka Agung, and P. Rahardjo, “Rancang bangun kendali otomatis lampu dan pendingin ruangan pada ruang perkuliahan berbasis mikrokontroler Arduino Nano,” J. SPEKTRUM, vol. 6, no. 2, p. 112, 2019.
M. Kadir, Junaedi, A. Hambali, S. Thamrin, and Nildayanti, “Pembuatan terrarium mini untuk meningkatkan aktivitas dan kreativitas kelompok PKK Desa Mandalle Kabupaten Pangkep di masa pandemi COVID-19,” J-ABDI J. Pengabdi. Kpd. Masy., vol. 1, no. 7, pp. 1607–1614, 2021.
I. Sutrisno, E. P. Hidayat, B. W. Raebawa, M. Sya’iin, and others, “Penerapan kontroler logika fuzzy sebagai sarana pendidikan untuk mengawasi kesehatan air di tambak,” J. Pendidik., vol. 7, pp. 4014–4018, 2023. [Online]. Available: https: //www.jptam.org/index.php/jptam/article/ view/5885 [Accessed: January 2024].
E. Setyawan, U. Chotijah, and H. D. Bhakti, “Implementasi pemadam kebakaran otomatis pada ruangan menggunakan pendeteksi asap suhu ruangan dan sensor api berbasis ESP32 dengan metode fuzzy Sugeno dan Internet of Things (IoT),” Indexia, vol. 3, no. 1, p. 1, 2021.
R. Gondo and J. E. Mbaiwa, “Agriculture,” The Palgrave Handbook of Urban Development Planning in Africa, pp. 75–103, 2022.
T. Hollandt, M. Baur, and A.-C. Wöhr, “Animal-appropriate housing of ball pythons (Python regius)—Behavior-based evaluation of two types of housing systems,” PLoS One, vol. 16, no. 5, pp. 1–20, 2021.
E. A. Nugroho, “Sistem pengendali lampu lalulintas berbasis logika fuzzy,” J. SIMETRIS, vol. 8, no. 1, pp. 75–84, 2017.
U. Athiyah, A. P. Handayani, M. Y. Aldean, N. P. Putra, and R. Ramadhani, “Sistem inferensi fuzzy: Pengertian, penerapan, dan manfaatnya,” J. Dinda Data Sci. Inf. Technol. Data Anal., vol. 1, no. 2, pp. 73–76, 2021.
A. M. I. Komang Nurjaya and Estananto, “Pemodelan sistem kendali suhu otomatis pada smart poultry farm menggunakan metode jaringan saraf tiruan,” e-Proceeding Eng., vol. 9, no. 2, pp. 136–144, 2022.
R. Bakri, A. N. Rahma, I. Suryani, and Y. Sari, “Penerapan logika fuzzy dalam menentukan jumlah peserta BPJS Kesehatan menggunakan fuzzy inference system Sugeno,” J. Lebesgue J. Ilm. Pendidik. Mat. Mat. dan Stat., vol. 1, no. 3, pp. 182–192, 2020.
C. E. Savitri and N. Paramytha, “Sistem monitoring parkir mobil berbasis mikrokontroller ESP32,” J. Ampere, vol. 7, no. 2, p. 135, 2022.
D. Lee, D. Lee, and K. Kim, “Self-growth learning-based machine scheduler to minimize setup time and tardiness in OLED display semiconductor manufacturing,” Appl. Soft Comput., vol. 145, p. 110600, 2023.
C. F. Hadi, R. M. Yasi, and A. Prasetyo, “Model decision tree forecasting berbasis DHT22 pada smart hydroponic microgreen,” J. Telecommun. Electron. Control Eng., vol. 6, no. 1, pp. 29–38, 2024.
T. Liu, “Aosong Electronics Co., Ltd,” Digit. Relat. humidity Temp. sensor/module (DHT22), vol. 22, pp. 1–10, 2013.
M. Lamsani, R. A. Pangestika, M. Cahyanti, and E. R. Swedia, “Sistem identifikasi warna tanah Munsell menggunakan sensor warna TCS3200 dan kelembaban YL-69,” Sebatik, vol. 27, no. 1, pp. 379–389, 2023.
M. Abdul Azis, I. Lammada, M. Ferdyansyah Perdana Putra, and M. Ihsan Fadhilah, “Spend (Sistem peringatan dini banjir menggunakan water level sensor dengan Arduino Uno),” J. Mhs. Tek. Inform., vol. 8, no. 4, pp. 4457–4464, 2024.
S. B. Fauzia, “Bahan ajar: Pengantar perencanaan,” Bahan Ajar Pengantar Perenc., pp. 1–158, 2021. [Online]. Available: https: //repository.unkris.ac.id/260/1/Bahan%20Ajar%20Pengantar% 20Perencanaan%20_%20Fauziya.pdf. [Accessed: January 2024].
D. Vinsensia, “Analisis kinerja pelayanan kesehatan dengan pendekatan logika fuzzy Sugeno,” J. Media Inform., vol. 2, no. 2, pp. 62–73, 2021.
