Jurnal Pensil : Pendidikan Teknik Sipil
Vol. 15 No. 1 (2026): Jurnal Pensil : Pendidikan Teknik Sipil

ARTIFICIAL INTELLIGENCE IN BUILDING CONDITION MONITORING FOR MAINTENANCE AND RESILIENCE ENHANCEMENT: A BIBLIOMETRIC REVIEW OF THE LAST DECADE

Ariani, Meisy (Unknown)
Zaki, Ahmad (Unknown)
Nugroho, Guntur (Unknown)



Article Info

Publish Date
31 Jan 2026

Abstract

In past years, a variety of methods for monitoring the condition of concrete structures have been researched and widely used, including the application of artificial intelligence (AI). AI is increasingly popular in building monitoring and has shown excellent progress over time. This article provides a detailed bibliometric and scientometric overview of  “Artificial Intelligence in Building Condition Monitoring” using data from Scopus over the last decade (2014–2024), supported by VOS Viewer software. This analysis found 222 relevant documents, which were mostly journal articles, with the most publications appearing in 2022. America and China are the countries that contribute the most to this field of research. The visualization results reveal five clusters related to AI applications in building condition monitoring, with the main topics being “condition monitoring” and “machine learning.” Research trends show an increasing focus on integrating AI with other advanced technologies to improve monitoring systems and apply these innovations in various types of buildings.

Copyrights © 2026






Journal Info

Abbrev

jpensil

Publisher

Subject

Civil Engineering, Building, Construction & Architecture Education Other

Description

In general, the Jurnal Pensil : Pendidikan Teknik Sipil accepts manuscripts with the themes: Education Strategy and Management, Industrial Relations, and Civil and Structural Engineering. Jurnal Pensil : Pendidikan Teknik Sipil is intended for all academics in Civil Engineering Vocational Education. ...