Innovative IoT-Based Fuzzy Logic Kitchen Model for Palembang’s Traditional Crackers Production MSMEs

DOI

10.2991/978-94-6463-678-9_17How to use a DOI?

Keywords

Exhaust Fan; Fuzzy Tsukamoto; Internet of Things

Abstract

This research discusses the development of a smart kitchen system for MSMEs in the production of Palembang crackers based on the Internet of Things (IoT) which aims to improve the efficiency of workers in the production kitchen through automatic control of exhaust fans. The system utilizes DHT11, MQ135, and MQ7 sensors to detect temperature, smoke, and CO gas. The sensor readings are controlled by the NodeMCU ESP8266 microcontroller which is connected to IoT Blynk as a control and monitoring platform. Tsukamoto fuzzy logic model is integrated to automatically adjust the fan’s rotational speed based on the sensor inputs. Automating the exhaust fan control based on smoke, temperature, and gas detection helps maintain good air circulation and creates a safer working environment so that workers can focus more on the production process without having to constantly monitor the condition of the kitchen environment. The system allows users to manage the exhaust fan manually or automatically via the Blynk application which is equipped with real-time monitoring of kitchen conditions and a notification system related to dangerous smoke or gas levels in the kitchen environment that allows workers to take precautions faster. The test results show that this system is able to operate with an accuracy of 99.93%, and provides an effective solution in monitoring and controlling air quality in the cracker production kitchen.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Lindawati Lindawati
AU  - Aryanti Aryanti
AU  - Isnaini Azro
AU  - Nadia Putri
AU  - Valentina Febriyanti
AU  - Trimuna Tsuroya
PY  - 2025
DA  - 2025/05/01
TI  - Innovative IoT-Based Fuzzy Logic Kitchen Model for Palembang’s Traditional Crackers Production MSMEs
BT  - Proceedings of the 8th FIRST 2024 International Conference on Global Innovations (FIRST-ESCSI 2024 )
PB  - Atlantis Press
SP  - 166
EP  - 181
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-678-9_17
DO  - 10.2991/978-94-6463-678-9_17
ID  - Lindawati2025
ER  -