Penerapan Fuzzy Logic pada Sistem Controlling Suhu dan Kelembapan Solar Dryer Berbasis Internet of Things
Abstract
The utilization of solar dryer technology as a renewable energy-based drying solution still faces challenges, particularly in monitoring and controlling temperature and humidity in remote areas with unstable internet connectivity. This research aims to design and develop a temperature and humidity control system for solar dryers based on the Internet of Things (IoT), implementing fuzzy logic as an adaptive decision-making method. The system employs Arduino Uno, DHT22 sensor, SIM800L, Raspberry Pi, and a GSM modem. Temperature and humidity data are transmitted via SMS to the Raspberry Pi as a gateway, then forwarded to a cloud server and processed using fuzzy logic to automatically control the fan when thresholds are exceeded. The test results show that the system operates in real-time, is responsive and accurate, and reliably performs fuzzy logic-based automatic control even in areas with limited internet access. This system proves effective as a solution for remote IoT-based temperature and humidity monitoring and control.
Keywords: Solar Dryer; Fuzzy Logic; Raspberry Pi; Arduino; Internet of Things.
Abstrak
Pemanfaatan teknologi solar dryer sebagai solusi pengeringan energi terbarukan masih menghadapi kendala, khususnya dalam aspek pemantauan dan pengendalian suhu serta kelembapan di lokasi terpencil yang tidak terjangkau jaringan internet stabil. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem pengendali suhu dan kelembapan solar dryer berbasis Internet of Things (IoT) dengan menerapkan logika fuzzy sebagai metode pengambilan keputusan adaptif. Sistem ini menggunakan perangkat Arduino Uno, sensor DHT22, SIM800L, Raspberry Pi, dan modem GSM. Data suhu dan kelembapan dikirim melalui SMS ke Raspberry Pi sebagai gateway, lalu diteruskan ke server cloud dan diproses oleh logika fuzzy untuk mengendalikan kipas secara otomatis jika ambang batas terlampaui. Hasil pengujian menunjukkan bahwa sistem bekerja secara real-time, responsif, dan akurat, serta mampu menjalankan kontrol otomatis berbasis fuzzy logic secara andal meskipun berada di lokasi minim internet. Sistem ini terbukti efektif sebagai solusi monitoring dan kontrol suhu kelembapan jarak jauh berbasis IoT.
Kata Kunci: Solar Dryer; Fuzzy Logic; Raspberry Pi; Arduino; Internet of Things.
References
F. Afif and A. Martin, “Tinjauan Potensi dan Kebijakan Energi Surya di Indonesia,” J. Engine Energi, Manufaktur, dan Mater., vol. 6, no. 1, pp. 43–52, 2022, doi: 10.30588/jeemm.v6i1.997.
I. G. Ramadhan, I. A. T. P. Yunen, D. Syahrani, S. Rosdiana, and M. R. Al-Ariki, “Pemanfaatan Energi Surya Dalam Pembuatan Lampu Sebagai Upaya Meminimalisir Penggunaan Listrik,” J. Graha Pengabdi., vol. 4, no. 2, pp. 102–109, 2022, doi: 10.17977/um078v4i22022p102-109.
L. Jacobus, K. O. Sandroto, D. Pianka, E. Setyowati, and S. Dwiputranto, “Rancang Bangun Pengontrol Suhu dan Kelembaban di dalam Solar Dryer dengan Arduino,” J. Pendidik. Fis. dan Fis. Terap., vol. 2, no. 2, pp. 54–69, 2022.
N. Tumbal, D. P. . Ludong, and L. C. C. E. Lengkey, “Modification of Rack Type Solar Energy Dryer,” COCOS Univ. Sam Ratulangi Manad., vol. 14, no. 4, pp. 1–13, 2022.
E. A. Dharmawan and E. R. M. A. P. Lilipaly, “Efisiensi Solar Dryer Untuk Pengawetan Ikan Dan Pisang,” J. Simetrik, vol. 13, no. 1, pp. 638–649, 2023, doi: 10.31959/js.v13i1.1238.
R. T. A. Pohan, I. Agustian, and A. Kurniawan, “Sistem Kendali Suhu Prototipe Mesin Pengering Biji Kopi Dengan Metode PID dan IOT Monitoring,” J. Amplif. J. Ilm. Bid. Tek. Elektro Dan Komput., vol. 13, no. 1, pp. 10–17, 2023, doi: 10.33369/jamplifier.v13i1.27437.
F. Rozie, Y. Chandra, and I. Suwanda, “Monitoring Konsumsi Energi LPJU Panel Surya Berbasis LoRa dengan Fuzy Inference,” Jambura J. Electr. Electron. Eng., vol. 7, no. 1, pp. 24–32, 2025.
K. Kusmiyati et al., “Monitoring Sistem Kontrol Mesin Drying Kopi Secara Real Time Berbasis IoT,” Elektrika, vol. 15, no. 2, pp. 90–96, 2023, doi: 10.26623/elektrika.v15i2.7857.
R. Ridho et al., “Analisis Kinerja Dome Solar Dryer Untuk Pengeringan Kopi Di Desa Karang Sidemen Kabupaten Lombok Tengah,” J. Sains Teknol. Lingkung., vol. 11, no. 2, pp. 227–234, 2025.
C. Saputra, R. Setiawan, and Y. Arvita, “Penerapan Sistem Kontrol Suhu dan Monitoring Serta Kelembapan pada Kumbung Jamur Tiram Berbasis Iot Menggunakan Metode Fuzzy Logic,” J. Sains dan Inform., vol. 8, no. 2, pp. 116–126, 2022, doi: 10.34128/jsi.v8i2.504.
S. Alam, M. Taufiq, M. Maha Jaya, A. Maulana Putra, F. Amir, and M. S. Ahsan Mandra, “Penerapan Teknologi Solar Dryer Berbasis Hybrid Energi Gas LPG Tipe Dome Dengan Sistem Kontrol IoT Pada Petani Rumput Laut,” PENGABDI J. Has. Pengabdi. Masy., vol. 4, no. 2, pp. 110–120, 2023.
A. I. Bakti, Marco Alfiano Laoh, Handy Indra Regain Mosey, Jumriadi, Megastin M. Lumembang, and V. A. Suoth, “Sistem Monitoring Suhu, Kelembaban dan Kadar CO2 di Udara Berbasis Internet of Things,” J. MIPA, vol. 13, no. 2, pp. 94–98, 2024, doi: 10.35799/jm.v13i2.56234.
J. Husein and O. B. Kharisma, “Internet of Things (IOT) Development for The Chicken Coop Temperature and Humidity Monitoring System Based on Fuzzy,” Indones. J. Artif. Intell. Data Min., vol. 3, no. 1, pp. 9–20, 2020, doi: 10.24014/ijaidm.v3i1.9294.
R. Prayoga, S. Herlambang, and G. Megiyanto R, “Prototipe Perhitungan Biaya Perjalanan Menggunakan Arduino Terintegrasi GPS,” Epsil. J. Electr. Eng. Inf. Technol., vol. 19, no. 2, pp. 40–44, 2021, doi: 10.55893/epsilon.v19i2.65.
Abrar, Munandar, and T. Iqbal, “Perancangan Prototype GPS Tracker via SMS Berbasis Mikrokontroler Arduino Nano,” J. Sist. Komput., vol. 3, no. 1, pp. 11–25, 2023, doi: 10.35870/siskom.v3i1.790.
A. Agarkar, S. Shewale, B. Shah, A. Shikalkar, and O. Sangale, “Multi-Server Management System Using Flask, SSH and Paramiko,” Proc. 3rd Int. Conf. Intell. Innov. Technol. Comput. Electr. Electron. IITCEE 2025, pp. 1–5, 2025, doi: 10.1109/IITCEE64140.2025.10915313.
F. Qin, X. Qiu, Y. Zhao, W. Ding, and F. Wang, “An Improved Fuzzy Logic Rule Based Energy Management Control for Hybrid Electric Vehicles,” Proc. - 2024 4th Power Syst. Green Energy Conf. PSGEC 2024, pp. 524–528, 2024, doi: 10.1109/PSGEC62376.2024.10720962.
B. Rahmani, A. Alfarisi, I. Ilmi, M. Miftahuddin, et al. "Real-time Multi-Level Wireless Control Model based on IoT for Wheeled Robots. Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi, vol. 12, no. 3, pp. 955-966, 2023.
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