Microcontroller – Based Fish Freshness Detection Device With Google Sheet Integration
Alat Pendeteksi Kesegaran Ikan Berbasis Mikrokontroler dengan Integrasi Google Sheet
DOI:
https://doi.org/10.21070/ups.10953Keywords:
ammonia sensor, ESP32, real-time monitoring, digital logging, fish freshnessAbstract
Indonesia is one of the world’s major fish-producing countries, and common carp (Cyprinus carpio) is an important freshwater fish for daily consumption. However, fish spoilage occurs quickly after harvest, especially at room temperature, due to microbial activity. This study developed a fish freshness detection system using an MQ-135 ammonia sensor and a TCS3200 color sensor connected to an ESP32 microcontroller. The system measures ammonia concentration and RGB color values to classify fish freshness into fresh, less fresh, and spoiled categories using threshold analysis. Experimental results showed ammonia levels increased from 0.60 ppm to 15.63 ppm as spoilage progressed. The data were also transmitted in real time to Google Sheets for digital monitoring and documentation. The findings revealed that ammonia concentration is a more effective freshness indicator than visual color changes. Overall, the proposed system provides a simple, low-cost, and practical solution for supporting fish quality control in small-scale fisheries MSMEs.
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