Literature review: A study of cognitive aspects in minimizing human error in construction

Author:

Zahra Mutmainah Fatimah,Pramudya Andika,Akbar Rufa’i Ananda

Abstract

Human error is a mistake due to human negligence, both consciously and unconsciously, which can cause a system to experience disruption and not run as planned. These errors can occur at the managerial, conceptual, or technical level. One of the activities with a high potential for finding human error is construction activities. Construction activities are a series of activities that include the construction, operation, maintenance, demolition, and construction of a building. Infrastructure development is one of the government’s policy focuses in 2023, with development from four main areas: water resources, roads and bridges, settlements, and housing. These infrastructure projects must have a good quality because they are closely related to user safety and security. Based on data from the Social Security Organizing Agency (BPJS) Employment and statements from the Ministry of PUPR, the industrial sector is an enormous contributor to work accidents with an average percentage of 32% each year. The human factor is one of the forerunners of human error apart from equipment and working environment conditions. Viewed from the perspective of Cognitive System Engineering, human error is caused by the failure of human cognitive processes where the process is related to Human Information Processing (HIP). This paper will describe and briefly discuss the problem of human error and its relation to Human Information Processing (HIP). This paper will examine various literature and summarize efforts that can be applied to improve the information processing process in the hope of minimizing the occurrence of human error in the scope of construction work.

Publisher

EDP Sciences

Reference71 articles.

1. Badan Pusat Statistik, Konstruksi Dalam Angka 2022, Jakarta: BPS RI, 2022.

2. Direktorat Statistik Industri, Indikator Konstruksi: Triwulan IV-2022, Jakarta: Badan Pusat Statistik, 2022.

3. Automated content analysis for construction safety: A natural language processing system to extract precursors and outcomes from unstructured injury reports

4. Media Komunikasi BPSDM Kementerian PUPR, Safety Construction: Komitmen dan Konsistensi Terapkan SMK3, Jakarta: Tim Redaksi Buletin Parampara, 2018.

5. A behavior based safety approach at a Kuwait research institution

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