The use of manual switches to control lights is less effective, especially when outside the house or in hard-to-reach areas. While sensors can address this issue, there is a limitation that requires someone to be near the sensor. Therefore, an IoT-based system has been developed, offering significant potential for automating and remotely controlling devices. While many studies have been conducted on IoT, there has been limited research exploring the integration of ESP32, Kodular, and ThingSpeak for IoT system development and each of these tools has its own advantages. The aim of this research is to assess whether these three components can effectively work together to control and monitor lighting systems remotely. The development method used is the waterfall model. The results demonstrate that this integration successfully enables remote lighting control, confirming the feasibility of combining ESP32, Kodular, and ThingSpeak for IoT applications. However, the system's performance is limited by the 15-second data update interval in ThingSpeak's free version, which may cause delays. To improve responsiveness, solutions such as adding a countdown timer in the application or upgrading to ThingSpeak's premium version. Future optimizations should enhance real-time processing and hardware reliability.
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