Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal The Indonesian Journal of Computer Science
Vincent Eliezer
Polman Bandung
Computer Science & IT Electrical & Electronics Engineering Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Smart Helmet untuk Monitoring Pekerja Konstruksi Menggunakan ESP32 dan LoRa berbasis IoT Hadi Supriyanto; Ismail Rokhim; Vincent Eliezer
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4162

Abstract

Job safety in the construction sector in Indonesia is a pressing issue, with accident rates still high despite conventional efforts to improve them. This research aims to overcome this issue by utilizing the Internet of Things (IoT) through Smart Helmets. The Smart Helmet is equipped with an Inertial Measurement Unit (IMU) sensor to detect falls and monitor worker orientation and movement in realtime. This system uses MongoDB for data storage and Real-Time Locating System (RTLS) with ESP32 and HELTEC LoRa32 V2 for signal transmission. The MPU9250 9DOF sensor is used to obtain data from the IMU, while Sensor Fusion and Kalman Filter are used to increase the accuracy of sensor data measurements. The research design research method is applied through the needs identification, design, implementation and evaluation stages. The results of this research are able to monitor workers' movements and orientation and detect work accidents in the construction sector.
Co-Authors Hadi Supriyanto Ismail Rokhim