Optimasi Sistem Pengendalian Mikroklimat dalam Smart Greenhouse untuk Peningkatan Produksi Stroberi Berbasis Fuzzy Logic

Abstract

Increasing strawberry production in Indonesia faces various challenges, especially in controlling microclimate that affects plant growth. Smart greenhouse based on modern technology offers a solution through more precise microclimate control. This study aims to optimize the microclimate control system in a smart greenhouse using fuzzy logic. The microclimate control system based on Fuzzy logic developed in this study successfully maintains environmental parameters within the optimal range for strawberry plant growth. This system is able to control temperature, humidity, and light intensity well, resulting in more stable conditions than conventional methods. The implementation of this control system showed a significant increase in strawberry plant growth, with an average increase in leaf length of 1.4 cm or 20% and branch length of 3.3 cm or 9.2% compared to plants that did not use the system. These results show the positive contribution of the system in increasing plant productivity and the ThingSpeak Platform used for real-time monitoring has proven reliable in monitoring and analyzing microclimate conditions in the greenhouse.