Unmanned aerial vehicles, commonly known as drones, are a growing
technology in all sorts of industries. In spite of studies exploring potential
applications of unmanned aerial systems (UASs), the particular perception use
and value of visual assets (photographs or video) collected with UASs for
construction management tasks is not well understood. This paper presents an
exploratory case study to identify applications of visual assets obtained from
UASs and conventional for construction management tasks. The main of this case
study is a better understanding of the use of UASs for construction management
tasks and cost implications.
In this study, construction project applied of unmanned aerial systems
(UASs) supervisory is a half from the total respondent (50%) and the rest is still
with the conventional supervisory in Yogyakarta and Jakarta. Survey result of
UASs application 2016 - 2017 for safety monitoring, aerial photography to track
job progress have an increasing 40% of the application usage and inspection of
difficult areas increasing 20% along with a good report supervisory in their
business.
From the result of data analysis showed most potential applications of
UASs mainly for track job progress monitoring, evaluating safety monitoring and
support (K3), and inspection of difficult areas. In addition, an analysis UASs
(drone) is more cost-effective financing rather than conventional supervisory. The
average percent to total wage project supervisory UASs and conventional is 0,212
%. Then conventional supervisory more expensive with the average percent to
total wage 0,450 %. Differences between both method significant high
competitive expenses, with the average percent to total wage amount 0,24 %.
Appears that group statistics total worker wage conventional supervisory higher
than UASs & conventional supervisory (0,44960 > 0,21160). These result indicate
that UASs and conventional supervisory really does have an effect on total worker
wage supervisory. It was found that high means is spend more total worker wage
from the total amount of staff (expensive), meanwhile result means have low
mean (small). It was found that small mean is spend more less total worker wage
from the total amount of staff (more cost-effective financing).