Perencanaan Model Penjadwalan Penanaman Guna Meningkatkan Produktivitas dengan Genetika Algoritma (Studi Kasus: UMKM Hidroponik Milik Ibu Vera)

Abstract

This study aims to design a planting schedule system based on a genetic algorithm to improve crop rotation efficiency and land utilization at the hydroponic MSME owned by Mrs. Vera. The main issues addressed include uneven planting rotation, unutilized planting holes, and unorganized waiting times between nursery and growing phases. The model was developed using a genetic algorithm through stages of population initialization, fitness evaluation, tournament selection, uniform crossover, and swap-inversion mutation. The system considers six types of hydroponic vegetables, with planting schedules adjusted according to each crop’s growth duration and available land. Simulation results show that the system generates a planting schedule with a total waiting time of 34 days, without land-use conflicts, and increases planting hole utilization to nearly 100%. The harvest distribution becomes more balanced, and net income rises to Rp15,602,600 increase of Rp5,455,200 compared to the actual condition. These results demonstrate that the genetic algorithm is effective in producing an efficient and adaptive planting schedule.