Eko Noerhayati, Soraya Norma Mustika, Aasniari, Wahyu Mulyo Utomo, Ikha Vidyah Nur Safitri
The current energy demands derived from fossil fuels are steadily depleting, making the use of renewable energy sources an increasingly viable option. Photovoltaic (PV3) cells are semiconductor technologies that can convert photon energy into electrical energy. Therefore, utilizing PV energy is highly feasible for implementation in irrigation gates, even in locations far from power plants, such as reservoirs and structures within irrigation channels. Conventional irrigation gates need to be adapted in line with the Industrial 4.0 era, progressing toward Industry 5.0, where remote control using the Internet of Things (IoT) and Artificial Intelligence (AI) is employed for solar panel management. The smart IoT system, based on sensor data acquisition and intelligent processing, can be optimized using Maximum Power Point Tracking (MPPT). The aim of this research is to utilize Photovoltaic energy with the MPPT method to improve operational efficiency in irrigation gate systems, to design an MPPT Photovoltaic-based IoT irrigation gate system on a real-scale field, and to evaluate the performance and results of the design. The research method involves laboratory experiments focusing on the design of an efficient MPPT Photovoltaic-based IoT irrigation gate system. The results indicate that the design test of the MPPT PV-based IoT irrigation gate, using a T-test, shows that the irrigation gate operates effectively. © 2026 Author(s).
Civil Engineering Study Program, Universitas Islam Malang, Lowokwaru, Kota Malang, 65144, Indonesia; Faculty of Applied Science and Technology, Universitas Negeri Malang, Kedungkandang, Kota Malang, 65145, Indonesia; Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia
