Abstract
<title>Abstract</title> <p>The limited shelf life of food will affect its edible quality when serving large quantities to many people in one serving. This directly impacts the UN's sustainable development goals (SDGs), namely Zero Hunger (SDG 2) and Good Health and Well-Being (SDG 3). This paper presents and proposes the design, implementation, and validation of an Information Technology-oriented Internet of Things (IoT) system for real-time food quality analysis. The proposed system uses an ESP32 microcontroller integrated with an MQ2 gas sensor to detect volatile organic compounds and a DHT22 sensor to monitor ambient temperature and humidity. Data is processed locally to classify food into three categories:” Fresh," "Spoiling," and "Spoiled,” which are displayed on an LCD. Furthermore, the system leverages IoT connectivity through the Blynk platform for remote mobile monitoring. The prototype was empirically tested on egg omelets monitored for 9 hours at room temperature. The results showed a clear correlation between gas concentration (ADC value) and elapsed time, with spoilage detected after approximately 5 hours. This study confirms that a low-cost IT-based sensor system can effectively reduce food waste and improve consumer safety through easily accessible and implementable integrated information technology.</p>