Design and Analysis of an Integrated IoT Electronic Menu Based on The MERN (MongoDB, Express.js, React.js, and Node.js) Stack Website

Restaurants often rely on traditional order-taking processes that are prone to delays, miscommunication, and human error. Earlier IoT-based electronic menus already introduced better order handling, but are limited by unidirectional communication and the scalability constraints of PHP + MySQL architectures. This research investigated the design and analysis of an MERN (MongoDB, Express.js, React.js, and Node.js) stack–based electronic menu, integrated with an Arduino Mega 2560 and ESP8266 module, to enable two-way communication between the client and server. The device was tested under varying Wi-Fi signal conditions, taking into account environmental factors such as distance, humidity, and obstacles. Results showed that Wi-Fi signal strength decreases linearly with distance and is attenuated by 6-7 dBm when passing through a concrete barrier, while high humidity (up to 95%) results in an additional 11-12 dBm reduction. Web application testing demonstrated the reliable data transmission of the MERN stack, which shows a striking difference compared to PHP + MySQL, outperforming it in scalability and processing speed. These results showed the advantages of MERN in supporting an interactive, scalable, and responsive electronic menu. Although measurements were based on averaged trials without complete statistical analysis, a promising approach was demonstrated in improving efficiency and reliability in restaurant environments.

Authors

Institutions

Publication Details

Journal
Journal of Technomaterials Physics
Published
2025-10-16
DOI
https://doi.org/10.32734/jotp.v7i2.22434
Primary Topic
Wireless Sensor Networks and IoT
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Analysis of an Integrated IoT Electronic Menu Based on The MERN (MongoDB, Express.js, React.js, and Node.js) Stack Website

Tulus Ikhsan Nasution, Syaipuddin Muda Pane
Journal of Technomaterials Physics
Wireless Sensor Networks and IoT
article

Design and Analysis of an Integrated IoT Electronic Menu Based on The MERN (MongoDB, Express.js, React.js, and Node.js) Stack Website

Tulus Ikhsan Nasution, Syaipuddin Muda Pane
article en

Abstract

Restaurants often rely on traditional order-taking processes that are prone to delays, miscommunication, and human error. Earlier IoT-based electronic menus already introduced better order handling, but are limited by unidirectional communication and the scalability constraints of PHP + MySQL architectures. This research investigated the design and analysis of an MERN (MongoDB, Express.js, React.js, and Node.js) stack–based electronic menu, integrated with an Arduino Mega 2560 and ESP8266 module, to enable two-way communication between the client and server. The device was tested under varying Wi-Fi signal conditions, taking into account environmental factors such as distance, humidity, and obstacles. Results showed that Wi-Fi signal strength decreases linearly with distance and is attenuated by 6-7 dBm when passing through a concrete barrier, while high humidity (up to 95%) results in an additional 11-12 dBm reduction. Web application testing demonstrated the reliable data transmission of the MERN stack, which shows a striking difference compared to PHP + MySQL, outperforming it in scalability and processing speed. These results showed the advantages of MERN in supporting an interactive, scalable, and responsive electronic menu. Although measurements were based on averaged trials without complete statistical analysis, a promising approach was demonstrated in improving efficiency and reliability in restaurant environments.

Journal of Technomaterials PhysicsVol. 7(2)
Universitas Sumatera Utara (ID), University Health Care System (US)
Openalex Percentile: Top 62%
Wireless Sensor Networks and IoT
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.