Development of Parking Guidance System using Internet of Things

Abstract

This research involves the development of a parking recommendation system using Internet of Things (IoT) technology. This project aims to improve parking management efficiency and to evaluate the performance of this system. The methodology includes designing and fabricating hardware, defining the operational procedures of the system, developing software, conducting tests, and installing the system. The outcomes of the project can be divided into two parts: 1) The results from the system development, where users can view available parking spaces via the Blynk application. When a car is parked, sensors detect this and send the information to the nodeMCU, which then updates the status in the Blynk application to indicate that the parking space is occupied. 2) The results of the system performance evaluation by experts, which has an overall average score of 4.03, are considered to be good.