Inovasi K3: Integrasi AI dan IoT untuk Meningkatkan Keselamatan Kerja

This research explores innovations in occupational safety and health (OSH) through AI and IoT integration. The study aims to examine how combining AI and IoT can enhance safety across industries. Using a qualitative analytical descriptive method with an empirical normative approach, data were gathered from journals, documentation, and literature reviews. Results indicate that AI and IoT can identify hazards early, monitor real-time conditions, and provide early warnings. Applications include IoT sensors for detecting hazardous gases and AI for predicting accidents based on historical data. These systems improve incident response and reduce corrective action time, boosting productivity and efficiency. The study recommends broader adoption of AI and IoT in OSH strategies to enhance safety and health in various sectors

Authors

Institutions

Publication Details

Journal
Ranah Research Journal of Multidisciplinary Research and Development
Published
2024-08-23
DOI
https://doi.org/10.38035/rrj.v6i5.1056
Citations
1
Primary Topic
Occupational Health and Safety Management
Type
article
Field-Weighted Citation Impact
1.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Inovasi K3: Integrasi AI dan IoT untuk Meningkatkan Keselamatan Kerja

L.M. Zainul, Hardiyono Hardiyono, Yusuf Nawawi, Komeyni Rusba et al.
1 citations
Ranah Research Journal of Multidisciplinary Research and Development
Occupational Health and Safety Management
1.72
article

Inovasi K3: Integrasi AI dan IoT untuk Meningkatkan Keselamatan Kerja

L.M. Zainul, Hardiyono Hardiyono, Yusuf Nawawi, Komeyni Rusba, Muhammad Khatami Fahmi Putra
article en
1 citations

Abstract

This research explores innovations in occupational safety and health (OSH) through AI and IoT integration. The study aims to examine how combining AI and IoT can enhance safety across industries. Using a qualitative analytical descriptive method with an empirical normative approach, data were gathered from journals, documentation, and literature reviews. Results indicate that AI and IoT can identify hazards early, monitor real-time conditions, and provide early warnings. Applications include IoT sensors for detecting hazardous gases and AI for predicting accidents based on historical data. These systems improve incident response and reduce corrective action time, boosting productivity and efficiency. The study recommends broader adoption of AI and IoT in OSH strategies to enhance safety and health in various sectors

Ranah Research Journal of Multidisciplinary Research and DevelopmentVol. 6(5)
Universitas Balikpapan (ID)
Decent work and economic growth
Openalex Percentile: Top 15%
Occupational Health and Safety Management
1.72
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.