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Applying Association Rule Mining to Explore Unsafe Behaviors in the Indonesian Construction Industry
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Abstract: The frequency of work accidents in construction projects is relatively high. One contributing
factor to work accidents is unsafe behavior by workers at construction sites. In Indonesia, this is
the first study to investigate 2503 instances of unsafe behavior that occurred across Indonesian
construction projects in relation to their attributes to obtain insightful knowledge by using the
association rule mining (ARM) method. Association rule mining was used to explore the database.
As a result, two consolidated rules were obtained. The most frequent unsafe behaviors were workers
putting tools and materials in random places, workers not attaching safety lines at provided places,
and workers moving work tools and materials in ways that were not in accordance with procedures.
These unsafe behaviors were associated with accident types of falling, and being struck or cut by
items, as well as violations of Manpower and Transmigration Ministerial Regulation 01/1980, and
Manpower Ministerial Regulation 09/2016. The ARM results were evaluated with a reliability
evaluation method before being validated by construction safety experts. Hence, the findings are
reliable to be used as guideline information for safety trainers to prioritize related safety trainings
and for safety inspectors when carrying out inspections on construction sites. As a result, safety
management and safety performance can increase significantly.
Keywords: construction safety; association rules; unsafe behavior; data mining
Rossy Armyn Machfudiyanto - Personal Name
JIEH-HAUR CHEN - Personal Name
Titi Sari Nurul Rachmawati - Personal Name
ACHMAD MUHYIDIN ARIFAI - Personal Name
Naufal Firmansyah - Personal Name
Yusuf Latief - Personal Name
JIEH-HAUR CHEN - Personal Name
Titi Sari Nurul Rachmawati - Personal Name
ACHMAD MUHYIDIN ARIFAI - Personal Name
Naufal Firmansyah - Personal Name
Yusuf Latief - Personal Name
NONE
electronic file
2023
Sustainability 2023, 15, 5261
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