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Journal : Journal Of Artificial Intelligence And Software Engineering

Comparison of the Performance of Fuzzy Tsukamoto and Fuzzy Mamdani in an Internet of Things Based Grape Greenhouse Control System Rusadi, Athirah; Ula, Munirul; Daud, Muhammad; Nurdin, Nurdin; Hasibuan, Arnawan
Journal of Artificial Intelligence and Software Engineering Vol 5, No 2 (2025): Juni On-Progress
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i2.6936

Abstract

The application of Internet of Things in agriculture, particularly in grape greenhouses, enables automated environmental control to enhance efficiency and crop yield. This study compares the performance of two fuzzy logic methods, Fuzzy Mamdani and Fuzzy Tsukamoto, in a temperature and humidity control system based on IoT using the DHT22 sensor. The system is designed to automate irrigation via actuators based on sensor data. Performance evaluation was conducted using RMSE, MAE, and standard deviation metrics. The results show that the Tsukamoto method achieved lower RMSE 2.6928, MAE 2.2625, and standard deviation 1.1080 compared to the Mamdani method, which recorded RMSE of 2.9039, MAE of 2.3947, and standard deviation of 1.9268. However, a paired t-test yielded a p-value of 0.0690 0.05, indicating no statistically significant performance difference. Thus, while Fuzzy Tsukamoto appears superior in metrics, both methods are considered equally effective for controlling environmental conditions in grape greenhouses.The application of Internet of Things in agriculture, particularly in grape greenhouses, enables automated environmental control to enhance efficiency and crop yield. This study compares the performance of two fuzzy logic methods, Fuzzy Mamdani and Fuzzy Tsukamoto, in a temperature and humidity control system based on IoT using the DHT22 sensor. The system is designed to automate irrigation via actuators based on sensor data. Performance evaluation was conducted using RMSE, MAE, and standard deviation metrics. The results show that the Tsukamoto method achieved lower RMSE 2.6928, MAE 2.2625, and standard deviation 1.1080 compared to the Mamdani method, which recorded RMSE of 2.9039, MAE of 2.3947, and standard deviation of 1.9268. However, a paired t-test yielded a p-value of 0.0690 0.05, indicating no statistically significant performance difference. Thus, while Fuzzy Tsukamoto appears superior in metrics, both methods are considered equally effective for controlling environmental conditions in grape greenhouses.
Enhancing Resource Efficiency in Urban Agriculture: A GA-Fuzzy Logic IoT-Based Smart Hydroponic Greenhouse Ula, Munirul; Rusadi, Athirah; Daud, Muhammad
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7799

Abstract

Pertanian presisi berbasis Internet of Things (IoT) menawarkan solusi inovatif terhadap tantangan ketahanan pangan dan keterbatasan lahan di daerah perkotaan. Penelitian ini bertujuan merancang dan mengevaluasi sistem rumah kaca cerdas berbasis hidroponik untuk budidaya tumpang sari anggur dan selada  menggunakan Nutrient Film Technique (NFT). Metodologi penelitian mengintegrasikan Pengendali Logika Fuzzy yang dioptimalkan dengan Algoritma Genetika (GA-FLC) untuk kontrol real-time enam parameter lingkungan: suhu, kelembapan, pH, konduktivitas listrik, intensitas cahaya, dan konsentrasi CO₂. Sistem menggunakan mikrokontroler ESP32 dengan array sensor presisi tinggi dan platform cloud (ThingSpeak, Firebase) untuk monitoring dan kontrol otomatis. Eksperimen dilaksanakan menggunakan Randomized Complete Block Design dengan dua faktor (sistem kontrol GA-FLC vs konvensional; monokultur vs tumpang sari) selama 120 hari di kondisi iklim tropis Bireuen, Aceh. Hasil menunjukkan sistem GA-FLC superior dalam akurasi kontrol dengan Mean Absolute Error suhu 0,7°C (61% lebih baik), response time aktuator 47-53% lebih cepat, dan efisiensi energi 25-30% lebih tinggi. Produktivitas anggur meningkat 27,8% (2,48 kg/tanaman) dan selada 23,7% (245 g/tanaman) dibandingkan sistem konvensional. Efisiensi sumber daya menunjukkan penghematan air 33,3%, energi 32,6%. Water Use Efficiency mencapai 12,4 kg/m³ dengan Energy Productivity 1,85 kg/kWh. Sistem ini memberikan kontribusi signifikan untuk pertanian perkotaan berkelanjutan dengan produktivitas tinggi, efisiensi sumber daya optimal, dan viabilitas ekonomi yang menarik untuk implementasi komersial di daerah tropis.