KOMPARASI KINERJA DESAIN SISTEM MODULAR PINTU AIR OTOMATIS SALURAN IRIGASI SEKUNDER BERBASIS IOT (INTERNET OF THINGS)

Abstract

Manual irrigation water management frequently leads to inefficient water distribution and inadequate real-time monitoring. To address this issue, this study designed and implemented a modular Internet of Things (IoT)-based automatic sluice gate system for secondary irrigation channels using an ESP32 microcontroller, the Blynk platform, a stepper motor, various supporting sensors, and a solar panel as the main power source. System performance was evaluated under gate opening conditions of 4 cm, 6 cm, 8 cm, and 10 cm, with each condition tested five times. The study aimed to compare the performance of the proposed IoT-based automatic sluice gate with findings from previous research, identify factors contributing to performance differences, and assess the system's effectiveness in enhancing irrigation water management. Data analysis was carried out using linear regression, correlation analysis, and the Independent Samples T-Test in SPSS. The statistical results yielded Sig. (2-tailed) values of 0.864, 0.858, 0.867, 0.823, and 0.870, all exceeding the significance threshold of 0.05. These results indicate that no statistically significant differences were observed between laboratory and field performance. Overall, the developed system operated reliably, enabled real-time monitoring, and contributed to more effective irrigation water distribution and management.