Yunia Mulyani Azis, Moechammad Sarosa, Septriandi Wirayoga, Hadiwiyatno
Wates Village is one of the regions in Indonesia that is known for its agricultural activities. Onions are among the main commodities cultivated by farmers in this area. However, the growth of onion seedlings often faces various obstacles, such as a non-optimal watering process. An irregular watering process can lead to an imbalance in the water supply, which in turn can affect overall plant growth. To overcome this problem, the use of genetic algorithm-based technology can be an effective solution. The genetic Algorithm (AG) is an optimization method inspired by the process of biological evolution. It generates better solutions through iteration and selection based on certain criteria. By applying genetic algorithms, an optimal watering schedule can be determined by considering various factors such as weather conditions, soil type, and plant growth phase. The plants treated with AG had higher absolute growth (16.5 cm) than those without AG (15.1 cm). The percentage of growth from week to week was higher in plants with AG, especially in the first week (103.33% vs. 101.92%). The leaf number growth in plants with and without AG was similar in terms of absolute change (five leaves). However, the percentage of growth in the number of leaves in plants without AG was higher (250%) than that in plants treated with AG (166.67%). © 2024 IEEE.
Sekolah Tinggi Ilmu Ekonomi Ekuitas, Deportement of Management, Bandung, Indonesia; State Polytechnic of Malang, Depart. of Electrical Engineering, Malang, Indonesia; State Polytechnic of Malang, Electrical Engineering Departement, Malang, Indonesia
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