SADEMIN: Sistem Cerdas Deteksi Kelayakan Makanan dan Minuman Berbasis Sensor Gas dan Internet of Things (IoT)

Authors

  • Muhammad Zikry Al-Banna Lubis Universitas Negeri Medan
  • Sukarman Purba Universitas Negeri Medan
  • Tora Valentina Simatupang Universitas Negeri Medan
  • Andri Saputra Harahap Universitas Negeri Medan

DOI:

https://doi.org/10.31599/2d0xmp79

Keywords:

Food Safety, Gas Sensors, IoT, SADEMIN, Spoilage

Abstract

Food safety is a fundamental aspect of public health; however, the rate of food poisoning in Indonesia remains alarmingly high, with reports indicating 4,711 cases by September 2025. This issue is compounded by the limitations of traditional methods that are subjective and the inability to detect food spoilage in its early stages, during which microorganisms start to emit Volatile Organic Compounds (VOCs) like ammonia and alcohol vapors that human senses cannot identify. The aim of this innovative concept is to create SADEMIN (Smart Food and Beverage Eligibility Detection System) as an intelligent detection system based on the Internet of Things (IoT) for objectively, accurately, and continuously monitoring food freshness. SADEMIN is engineered by incorporating MQ-135 gas sensors and MQ-3 alcohol sensors controlled by the ESP8266 microcontroller. This innovation operates by identifying gas emissions of ammonia and ethanol resulting from food degradation, assigning a "Not Suitable" status when gas levels hit a threshold of ≥ 32% or when alcohol concentrations are detected. The monitoring results are displayed locally on a 16x2 LCD and wirelessly transmitted to the Blynk app on mobile devices. Additionally, the system is equipped with an audio alert feature using the DF Player Mini module as an early warning system. Trial results indicate that SADEMIN has a high validity in distinguishing between suitable and unsuitable sample conditions in line with actual conditions. This innovation is anticipated to reduce the risk of food poisoning and contribute to achieving the SDG goal 3 regarding healthy and prosperous lives.

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Published

2026-05-30

Issue

Section

Articles

How to Cite

SADEMIN: Sistem Cerdas Deteksi Kelayakan Makanan dan Minuman Berbasis Sensor Gas dan Internet of Things (IoT). (2026). Journal of Students‘ Research in Computer Science, 7(1), 25-36. https://doi.org/10.31599/2d0xmp79