Analysis of The Relationship Between The Implementation of The Behavior-Based Safety (BBS)
Program and The Level of Employee Compliance With Occupational Safety
Principles at PT. Angkasa Pura Logistics
Institut Teknologi Kalimantan
Email:
[email protected], [email protected],
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[email protected]
Based on data from the Ministry of
Manpower (MoM) in 2023, the number of workplace accidents in Indonesia was
recorded at 370,747 cases. The Behavior-Based Safety (BBS) program is an
approach that focuses on human behavior and social relationships in the
workplace. Its goal is to reduce the risk of accidents and work-related
injuries by increasing awareness, involvement, and responsibility of employees
towards their own safety and the safety of their colleagues. The research was
conducted using a quantitative cross-sectional research method. Data collected
provide an overview of the relationship between variables. A cross-sectional
research design was used to collect data on the Behavior-Based Safety (BBS)
program, the level of compliance with work safety behaviors, and work safety
behaviors at PT. Angkasa Pura Logistics at a specific time. Data were collected
using a questionnaire filled out by respondents. The variation in compliance
level scores can be explained by 22.5% of the variation in BBS program scores,
while the remaining 77.5% is explained by variation in other variables outside
the research model. The variation in employee work safety behavior scores can
be explained by 66.4% of the variation in BBS program scores and compliance
level, while the remaining 33.6% is explained by variation in other variables
outside the research model. There is a significant and meaningful relationship
between the BBS program and compliance level. There is a significant and
meaningful relationship between the BBS program and work safety behavior. There
is a significant and meaningful relationship between compliance level and work
safety behavior. There is a direct relationship between the BBS program and
workplace safety behavior. Therefore, the Compliance Level intervening variable
does not mediate the relationship between the BBS Program and Work Safety
Behavior.
Keywords:
Behavior Based Safety
(BBS), Occupational Health and Safety (OHS)
Work accidents
can occur, one of which is in the field of logistics services which is one of
the many in the business field that is classified as very vulnerable to
accidents or exposure to occupational diseases. Flight safety does not only
depend on technical factors, but also related to human factors, both before the
flight (preflight) and during the flight (inflight service). Freight forwarding
also contributes to mid-air plane crashes. Many cases of accidents occur due to
cargo handling that is not in accordance with procedures. Companies
take various
steps to reduce the �impact
of work accidents, because this has an impact on
company revenue and can even cause
accidents when the plane takes off and
lands or while in the air (Kania, 2016).
Work accident
is an unwanted and unexpected workplace event that can result in physical loss,
property and even death. Global data shows annual occupational deaths of
˃2.78 million people and two-thirds (2/3) occur in Asian countries
(Wulandari, 2023). Based on data from the Ministry of Manpower (Kemnaker) in 2023, the number of work accident cases in
Indonesia is recorded at 370,747 cases (Kemnaker,
2023). There is an increasing trend in the number of work accidents from year
to year. In 2020, there were 221,740 cases of work accidents. In 2021, this
figure increased to 234,370 cases, and in 2022, the number of work accidents
was recorded at 265,334 cases (Kemnaker, 2023).
According to Prasetya (2024), 88% of the causes of
work accidents are unsafe behavior, 10% are due to unsafe conditions and 2%
have no known cause. Unsafe behavior is negligent behavior by humans that often
results in accidents in the workplace.
The
Behavior-Based Safety (BBS) program is an approach that focuses on human
behavior and social relations in the work environment. The goal is to reduce
the risk of workplace accidents and injuries by increasing employee awareness,
engagement, and responsibility for their own safety and health as well as that
of colleagues. Some of the hallmarks of the BBS approach include: Focusing on
Human Behavior, BBS teaches workers to recognize hazards and risks in their
work and take responsibility for the safety of themselves and co-workers; The
importance of social relationships. BBS emphasizes the importance of social
relationships in the work environment; Engaging Employees. Employees are
involved in identifying and eliminating risky behavior; Direct observation. BBS
leverages direct observation to identify risky behaviors and provide
constructive feedback. By implementing BBS, companies can increase awareness of
occupational safety and health, prevent workplace accidents, and increase
productivity in the workplace (Annamalai, 2022).
PT. Angkasa
Pura Logistics is one of the logistics service companies. Companies engaged in
this field generally focus on supply chain or supply chain with integrated
services in the fields of regulated agents, warehousing and distribution, total
baggage solutions, multimodal shipping, cargo terminal operators, cargo
aircraft and aircraft cargo expedition. This company has a significant risk
related to work accidents, so action is needed to unravel the number of
accidents. One of them is the implementation of the Behavior Based Safety (BBS)
program. Our analysis focused on the correlation between BBS programs and the
level of compliance with employee safety behaviors. In this study, we propose
several hypotheses: Direct effect: There is a relationship between BBS Program
(X1) and compliance rate (X2); there is a relationship between BBS programs
(X1) and employee safety behaviors (Y); there is a relationship between
compliance level (X2) and employee safety behavior (Y). Indirect relationship (inderect effect); there is a relationship between the BBS
Program (X1) and employee safety behavior (Y) through compliance level (X2).
METHOD
This research
will use quantitative research methods with cross-sectional study types. The
data collected will give an idea of the relationship between the variables. The
cross-sectional research design was used to collect data on the Behavior Based
Safety (BBS) program, the level of compliance with work safety behavior, and
employee safety behavior at PT. Angkasa Pura Logistics at one particular point in time. Data is collected through surveys or questionnaires filled
out by respondents.
From the questionnaire that has been
carried out, 34 respondents were obtained. Respondents were obtained from
employees at PT Angkasa Pura Logistik, employees in
this company have participated in the Behavious Based
Safety (BBS) program so that they can participate in filling out
questionnaires. Respondent data is the largest contribution in this research so
that it can display the characteristics of respondents and the results of this
study. Data were taken from these respondents based on gender, education level,
and employee status
Table 1. Respondents by gender
|
Gender |
Sum |
% |
|
Legal Law |
33 |
99% |
|
Woman |
1 |
1% |
|
Total |
34 |
100% |
Table 2. Respondents by education
|
Education |
Sum |
% |
|
SMA/SMK |
28 |
82% |
|
S1 |
6 |
18% |
|
Total |
34 |
100% |
Table 3. Respondents by job title
|
Position |
Sum |
% |
|
Staff |
24 |
71% |
|
Non
Staff |
10 |
29% |
|
Total |
34 |
100% |
Table 4. Descriptive Variable
Analysis X1
|
NO |
Question
Item X1 |
Very Insetu |
Disagree |
Agree |
Totally Agree |
Total |
Mean |
||||
|
1 |
2 |
3 |
4 |
||||||||
|
f |
% |
f |
% |
f |
% |
f |
% |
||||
|
1. |
The company
pays attention to ergonomics in workplace design to reduce the risk of injury |
0 |
0% |
0 |
0% |
20 |
59% |
14 |
41% |
34 |
3.41 |
|
2. |
I know the
safety procedures clearly for each work activity |
0 |
0% |
0 |
0% |
22 |
65% |
12 |
35% |
34 |
3.35 |
|
3. |
Safety procedures for each work activity have The documentation and information are easy to obtain |
0 |
0% |
1 |
3% |
21 |
62% |
12 |
35% |
34 |
3.32 |
|
4. |
The company
encourages employees to use personal protective equipment (PPE) that goes well with |
0 |
0% |
0 |
0% |
15 |
44% |
19 |
56% |
34 |
3.56 |
|
|
the level of
occupational risk they are exposed to. |
|
|
|
|
|
|
|
|
|
|
|
5. |
The company
always ensures that the work equipment is in accordance with safety standards
or K3 |
0 |
0% |
0 |
0% |
19 |
56% |
15 |
44% |
34 |
3.44 |
|
6. |
This company
routinely conducts safety supervision or inspections |
0 |
0% |
0 |
0% |
20 |
59% |
14 |
41% |
34 |
3.41 |
|
7. |
This company
has provided or provided instructions on the handling / use of equipment that
poses a high danger and risk |
0 |
0% |
1 |
3% |
18 |
53% |
15 |
44% |
34 |
3.41 |
|
8. |
This company
ensures that workers have valid certifications/licenses on the jobs that must
be have certain skills |
0 |
0% |
1 |
3% |
17 |
50% |
16 |
47% |
34 |
3.44 |
Table 5. Descriptive Variable
Analysis X2
|
NO |
Question
Item X2 |
Very Not Set |
Disagree |
Agree |
Totally
Agree |
Total |
Mean |
||||
|
1 |
2 |
3 |
4 |
||||||||
|
f |
% |
f |
% |
f |
% |
f |
% |
||||
|
1. |
You always
wear personal protective equipment (PPE) when working |
0 |
0% |
0 |
0% |
20 |
59% |
14 |
41% |
34 |
3.41 |
|
2. |
Personal protective equipment used often makes you feel
uncomfortable |
3 |
9% |
24 |
70% |
4 |
12% |
3 |
9% |
34 |
2.21 |
|
3. |
You have received training on how to operate machinery and equipment
safely or in accordance with K3 |
0 |
0% |
3 |
9% |
21 |
62% |
10 |
29% |
34 |
3.21 |
|
4. |
You know the waste management process has carried out in accordance with established
safety procedures |
0 |
0% |
4 |
12% |
24 |
70% |
6 |
17% |
34 |
3.06 |
|
5. |
You've
ever felt the machine/equipment you're Use does not operate as usual |
1 |
3% |
9 |
26% |
21 |
62% |
3 |
9% |
34 |
2.76 |
|
6. |
You make sure your work area is safe before you start working |
0 |
0% |
0 |
0% |
20 |
59% |
14 |
41% |
34 |
3.41 |
|
7. |
You ensure that your work area is always organized and free from obstacles that can cause accidents |
0 |
0% |
1 |
3% |
20 |
59% |
13 |
38% |
34 |
3.35 |
|
8. |
You often interact with colleagues in appealing/reprimanding
regarding safety protocols at work |
0 |
0% |
2 |
6% |
20 |
59% |
12 |
35% |
34 |
3.29 |
|
9. |
You've felt Excessive fatigue and stress at work |
1 |
3% |
8 |
23% |
21 |
62% |
4 |
12% |
34 |
2.82 |
|
10. |
You will rest at work and report to your boss when you feel symptoms Excessive fatigue and stress at work |
1 |
3% |
5 |
15% |
21 |
62% |
7 |
20% |
34 |
3.00 |
Tabel 6. Descriptive Variable
Analysis Y
|
NO |
Question
Item Y |
Very Not Set |
Disagree |
Agree |
Totally
Agree |
Total |
Mean |
||||
|
1 |
2 |
3 |
4 |
||||||||
|
f |
% |
f |
% |
f |
% |
f |
% |
||||
|
1. |
I always adhere to the Standard Operating Procedures (SOPs) set for my work |
0 |
0% |
0 |
0% |
20 |
59% |
14 |
41% |
34 |
3.41 |
|
2. |
I wear personal protective equipment (PPE) only when available Supervising supervisors in my work area |
4 |
12% |
16 |
47% |
10 |
30% |
4 |
12% |
34 |
2.41 |
|
3. |
I always report when there are actions/conditions that have the
potential to cause a danger |
0 |
0% |
0 |
0% |
23 |
68% |
11 |
32% |
34 |
3.32 |
|
4. |
I always participate in safety induction/safety briefing activities
that held by the company |
0 |
0% |
0 |
0% |
25 |
74% |
9 |
26% |
34 |
3.26 |
|
5. |
I always warn my colleagues about work safety in
order to avoid hazards and risk |
0 |
0% |
1 |
3% |
20 |
59% |
13 |
38% |
34 |
3.35 |
|
6. |
I attended training on work safety provided by the company and
outside company |
0 |
0% |
4 |
12% |
20 |
56% |
11 |
32% |
34 |
3.21 |
|
7. |
I always pay attention to the work environment to avoid potential
dangers or accidentsif they cause Danger and high risk |
0 |
0% |
0 |
0% |
20 |
59% |
14 |
41% |
34 |
3.41 |
Table 7. Reliability Test
|
|
Relability Test |
|
|
variable |
Cronbach Alpha |
ket |
|
X1 |
89.5% |
Reliable |
|
X2 |
70.1% |
Reliable |
|
And |
81.4% |
Reliable |
Ket:
X1 : 0,895
X2 : 0,701
Y� : 0,814
The
reliability test results of the BBS Program variable (X1) based on Table 7
variable X1 are declared reliable with a Cronbach Alpha coefficient value of
0.895 or 89.5%, variable X2 has a Cronbach's Alpha value of 70.1%, showing
sufficient reliability and variable Y has a Cronbach's Alpha value of 81.4%,
indicating high reliability. It can be concluded that the statements in the BBS
Program variable questionnaire (X1) used by this researcher are credible.
Reliability
Test is an index test that shows the extent to which a measuring device is
trustworthy or reliable. This indicates the extent to which the measurement
results remain consistent when performed twice or more on the same symptoms,
using the same measuring instrument. Measuring instruments are said to be
reliable if they produce the same results even though measurements are made
many times (Amanda et al., 2019).
The
reliability test is carried out as a whole on all
items or question items contained in the questionnaire to be examined (Al Hakim
et al., 2021).
1.
The
basis used in making decisions on reliability tests is that if the value of Cronbch's Alpha is greater than 0.70, the questionnaire or
questionnaire can be called reliable
2.
Meanwhile,
if the score of Cronbach's Alpha is smaller than 0.70 questionnaires or
questionnaires are called unreliable
|
Data Normality Test |
||
|
|
|
Unstandardized Residual |
|
N |
|
34 |
|
|
�Mean����������������������������������������������������������� |
.0000000 |
|
Normal Parameters |
|
|
|
|
Std. Deviation |
1.62123645 |
|
|
�Absolute����������������������������������������������������������� |
.097 |
|
Most Extreme Differences |
�Positive����������������������������������������������������������� |
.052 |
|
|
Negative |
-.097 |
|
Test Statistic |
|
.097 |
|
Asymp. Sig. (2-tailed) |
|
.200 |
In Table 8 this study used the
Kolmogorov-Smirnov Test to test whether the sample came from a particular
distribution. This study used this procedure to determine whether the sample
was obtained from a normally distributed population. From the results of this test it can be said that the residual data in this analysis do not show any
significant deviation from the normal distribution. In other words, residual
data is considered to satisfy the assumption of normality.Asymp value. Sig (2-tailed) is 0.200. the
provision is that the data is said to be normal if Asymp.
Sig (2-tailed)- above 0.05. If the value is Asymp.
Sig (2-tailed) below 0.05 means abnormal data. In conclusion, the data is
normally distributed so it is suitable for use.
|
Multicollinearity Test |
||||||||
|
|
|
Unstandardized ��� Coefficients�������������������������������������� |
Standardized Coefficients |
|
|
Collinearity ���������� Statistics��������� |
||
|
Model |
B |
Std. Error |
Beta |
t |
Sig. |
Tolerance |
VIF |
|
|
1 |
(Constant) |
-.202 |
3.139 |
|
-.064 |
.949 |
|
|
|
|
X1 |
.612 |
.105 |
.690 |
5.832 |
.000 |
.775 |
1.290 |
|
|
X2 |
.191 |
.105 |
.216 |
1.825 |
.078 |
.775 |
1.290 |
Based on Table
9, a
multicollinearity test was carried out which was used to detect a high
correlation between independent variables in the regression model and obtained variable X1 and
variable X2 each valued at VIF 1,290 or <10. Similarly, the Tolerance value
of X1 X2 is 0.775 or above 0.01. hence based on the results of the
multicollinearity test, it can be concluded that there is no indication of
multicollinearity between the independent variables X1 and X2 in this
regression model. High tolerance values and low VIFs indicate that independent
variables are not excessively correlated with each other. This ensures that the
estimation of the regression coefficient is reliable and the interpretation of
regression results is more valid.

The
multicollinearity test is very important because it is used to ensure that
there is no correlation between one predictor variable and another. In this
study, the presence or absence of multicollinearity is seen through the value
of VIF (Variance Inflation Factor), where if the value of VIF is smaller than
10, it can be concluded that there are no symptoms of multicollinearity. Based
on the results of testing the VIF value in the table above, it
can be seen that the variables X1 and X2 give a VIF value smaller
than 10.00. This shows that there are no symptoms of multicollinearity in the
research data so there is no need for treatment to overcome the symptoms of
multicollinearity (Azizah et al., 2021).
Based on Figure 1, observations on patterns seen spreading and not
the same stated that heteroscedasticity problems do not occur.
Table 10. R-Square X1 to X2
|
Model |
R |
R Square |
Adjusted R Square |
Std. Error of
the Estimate |
|
1 |
.474 |
.225 |
.201 |
2.817 |
Based on the
test results in table 10 shows a simple regression analysis where X1 is the
predictor variable and X2 is the predicted variable. Where the regression model
that connects the variables X1 with X2 shows a strong and significant
relationship, with an R value of 0.474 and an R Square of 0.225. That is, the
variable X1 is able to explain about 22.5% of the
variation in the variable X2. An Adjusted R Square of 0.201 supports the
strength of this model, although slightly lower than the R Square, but still
shows that it is quite good at explaining relationships among variables. With a
standard estimation error of 2,817, the model is considered fairly accurate in
its predictions, although this value must be viewed in the specific context of
the data used. Overall, these results show that the regression model used has
good predictive power and is relevant.
Table 11. R-Square X1 and X2 to Y
|
Model |
R |
R Square |
Adjusted R Square |
Std. Error of
the Estimate |
|
1 |
.815 |
.664 |
.642 |
1.673 |
Based on Table
11 R-Square, which is 0.664 or 66%, it means that the variables BBS Program
(X1) and Compliance Rate (X2) are related as much as 66% to Work Safety
Behavior (Y). Variations in employee safety behavior scores can be explained by
variations in BBS Program scores and compliance rates of 66%, while the
remaining 34% is explained by variations in other variables outside the research
model.
Table 12. Direct Hypothesis Test
|
|
Relationship |
P |
Sig |
|
Relationship Direct Effect |
BBS Program on Compliance |
P1=0.474 (Good) |
0.005 |
|
BBS Program on Employee Behavior |
P2=0.792 (Good) |
0.000 |
|
|
Level of compliance with Employee behavior |
P3=0.543 (Good) |
0.001 |
Based on table
12, the value of the p1 coefficient of 0.474 shows that the BBS Program has a
strong positive influence on the level of compliance. Significance value 0.005
indicates that this effect is statistically significant (p < 0.05), which
means that the BBS Program significantly increases employee compliance rates
and indicates that the implementation of the BBS Program is effective in
improving employee compliance with applicable procedures or rules. The value of the p2
coefficient of 0.792 indicates that the level of compliance has a strong enough
influence on employee behavior. A significance value of 0.001 indicates that
this effect is statistically significant (p < 0.05), indicating that the
level of compliance significantly influences employee behavior. The level of
compliance has a positive and significant influence on employee behavior, with
a p3 coefficient of influence of 0.543 and a significance value of 0.001. This
shows that the level of employee compliance plays an important role in shaping
and influencing employee behavior. Taken together, these results suggest that
the BBS Program is a highly effective intervention in improving employee compliance
and behavior, and that employee compliance rates also have an important role to
play in influencing their behavior. All relationships tested showed significant
positive influence, which confirms the importance of the BBS Program in the
context of safety management and employee behavior.
With the
results of the evaluation of conservation of safety behavior can be reviewed
and feedback. In workers who are very concerned about safety behavior, work
accidents rarely occur. It can be concluded that safety behavior greatly
affects the occurrence of work accidents can be seen in the level of employee
compliance with the BBS program of 0.474 which means BBS has a strong enough
influence on the level of compliance, this program aims to increase workers' awareness
in using PPE. The implemented program is expected to have a deterrent effect on
non-compliant workers. The deterrent effect given to workers in the form of
Minutes of Violation The violation letter is given to the section head to
follow up related to workers who do not comply with company regulations related
to the use of PPE and related to safe behavior while working (Siti Aifatus, 2018). Then it can be seen in the value of the BBS
program on employee compliance of 0.792 which means that the level of
compliance has a strong enough influence on the behavior of employees, Behavior
Based Safety is defined as an effort to prevent accidents in the work area
proactively by identifying hazards and assessing potential risks that arise
until they can be accepted in doing work According to Giovani, Behavior Based
Safety focuses on worker behavior that is believed contributes significantly to
the occurrence of work accidents (Asvina et al., 2023). And based on the
results of data The level of compliance with employee behavior of 0.543 shows that the
level of compliance of employees plays an important role in shaping and
influencing the behavior of employees. Basically, the good implementation of
the behavior-based safety program cannot be separated from the concern of
colleagues and also supervisors or supervisors who
must be carried out regularly. In this case, the role of management is a
supporting factor in the formation of a desired behavior. Management must also
play a role in integrating behavior-based safety programs into the occupational
health and safety (K3) management system. So that with these improvements, a
good occupational safety and health (K3) culture is achieved (Rahman et al., 2023).
Table 13. Indirect Hypothesis
Test
|
|
Relationship |
P |
|
Relationship Not Langsung (Indirect Effect) |
BBS Program on Employee Behavior through Compliance
Level |
P1*P3 = 0.474*0.543 = 0.257 |
Based on Table
13, the results presented outline the indirect effect of the BBS Program on
Employee Behavior through the Level of Compliance. To calculate the indirect
effect, we multiply the direct influence coefficient between the intermediate
variable (Compliance Level) with the dependent variable (Employee Behavior) and
the direct influence coefficient between the independent variable (BBS Program)
and the intermediate variable. Based on the calculation results p1�p3=0.257,
the value of the indirect effect coefficient of the BBS Program on Employee
Behavior through the Compliance Rate is 0.257. This means that employee safety
behavior is direct (not through Compliance Levels). Therefore, the intervening
variable X2 (degree of compliance) does not mediate (does not mediate) the
relationship of X1 to Y.
Thus, the
Relationship of X1 to Y through X2 The results of the analysis of this study
state that the direct influence (BBS Program on Work Safety Behavior is higher
than the indirect influence (BBS Program on Work Safety Behavior through
Compliance Level). This shows that the effect of the BBS Program on employee
safety behavior is a direct influence (not through the Compliance Level).
Therefore, the intervening variable (level of compliance) does not mediate
(does not mediate) the effect of the BBS Program on employee Safety Behavior.
These results are in accordance with literature from (Nunu, Kativhu, &;
Moyo, 2018), namely the implementation of the BBS Program significantly
increases employee safety awareness and behavior in the company. Employees also
consider that this program helps improve communication and cooperation between
employees in improving a safer work environment. Behavior is whatever a person
does or says, behavior is the action or reaction of a person or thing in
response to an external or internal stimulus (Choudhry, 2014).
Based on
research that has been conducted on the relationship between the implementation
of the Behavior-Based Safety Program (BBS), the level of compliance and
employee behavior towards occupational safety principles at PT. Angkasa Pura
Logistics, several conclusions can be drawn as follows: Direct Relationship The
results showed that there was a positive and significant relationship between
the BBS Program and the Compliance Level. This shows that the higher or
increasing this BBS Program, the Compliance Rate will increase. The results
showed that there was a positive and significant relationship between the BBS
Program and employee behavior. This shows that the higher or increasing this
BBS Program, the Employee Safety Behavior will increase. The results showed
that there was a positive and significant relationship between the Level of
Compliance with Employee Behavior. This indicates that the higher or increasing
the Compliance Rate, the more employees will increase. Indirect Relationship
The findings show that the BBS program has an indirect impact on employee
safety behavior (not on compliance levels). Therefore, the level of compliance
does not mediate (indirectly influence) the impact of the BBS program on
employee safety behavior.
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