Warehouse Controlling System Using Node MCU ESP32 and Python Implementation for Real-Time Sensor Data Visualization
Abstract
Warehouse management in large industries and SMEs (Small and Medium Enterprises) in Indonesia is a critical aspect that must be addressed seriously. Most warehouse systems still rely on manual processes, such as checking humidity, temperature, and gas levels in the storage area. This approach is inefficient as it requires significant time and manpower for regular monitoring. Manual operations using human resources have limitations in terms of labor, time efficiency, accuracy, and operational costs, such as employee wages. To address these challenges, this study proposes the development of an automated system based on the ESP32 microcontroller, which serves as a full controller, utilizing the DHT-11 sensor for temperature and humidity measurement, and the MQ-135 sensor for gas detection. Additionally, Python programming is implemented for data visualization, allowing real-time display on a laptop or computer to facilitate warehouse monitoring. The system developed is designed to read, control, and transmit sensor data. It can measure humidity, temperature, and gas concentration (PPM) and control actuators, such as a relay to activate a buzzer or light, according to the algorithm programmed into the ESP32. The results indicate that the system is capable of reading temperature and humidity with a data error rate of 6%, and gas concentration with an error rate of 2%. Additionally, the data transmission and visualization are functioning properly, in real-time
References
Adiptya, M., & Wibawanto, H. (2013). Sistem Pengamatan Suhu Dan Kelembaban Pada Rumah Berbasis Mikrokontroller ATmega8. Jurnal Teknik Elektro Unnes, 5(1), 15–17.
Asiva Noor Rachmayani. (2015). No 主観的健康感を中心とした在宅高齢者における 健康関連指標に関する共分散構造分析Title. 6.
Bimanta, G. A., Prisca, C., Larasati, T., & Pradana, I. M. (2022). Sistem Pengendali Suhu Ruangan berbasis IoT Pada Gudang dengan Metode KNN. Journal of Advances in Information and Industrial Technology, 4(1), 9–17.
Chiu, E., Simatupang, J. W., Hakiki, R., & Sidjabat, F. M. (2021). Prototype of Air Quality Sensor for Gas Pollutants Monitoring System in Industrial and Residential Estates. Jetri : Jurnal Ilmiah Teknik Elektro, 17(1), 96–123. https://doi.org/10.25105/jetri.v19i1.9812
K. R., S. (2017). Python -The Fastest Growing Programming Language. International Research Journal of Engineering and Technology, 4(12), 354–357.
Kamal, K., Tyas, U. M., Buckhari, A. A., & Pattasang, P. (2023). Implementasi Aplikasi Arduino Ide Pada Mata Kuliah Sistem Digital. Jurnal Pendidikan Dan Teknologi (TEKNOS), 1(1), 1–10.
Pangestu, A. D., Ardianto, F., & Alfaresi, B. (2019). Sistem Monitoring Beban Listrik Berbasis Arduino Nodemcu Esp8266. Jurnal Ampere, 4(1), 187. https://doi.org/10.31851/ampere.v4i1.2745
Rosa, A. A., Simon, B. A., & Lieanto, K. S. (2020). Sistem Pendeteksi Pencemaran Udara Portabel Menggunakan Sensor MQ-7 dan MQ-135. Ultima Computing : Jurnal Sistem Komputer, 12(1), 23–28. https://doi.org/10.31937/sk.v12i1.1611
Santosa, R., Sari, P. A., & Sasongko, A. T. (2023). Sistem Monitoring Suhu dan Kelembaban Berbasis IoT (Internet of Thing) pada Gudang Penyimpanan PT Sakafarma Laboratories. Jurnal Teknologi Dan Sistem Informasi Bisnis, 5(4), 391–400. https://doi.org/10.47233/jteksis.v5i4.943
View of Implementasi IoT (Internet of Things) dalam pembelajaran di Universitas Kanjuruhan Malang.pdf. (n.d.).
