Journal of Environmental Treatment Techniques  
2020, Volume 8, Issue 3, Pages: 1209-1219  
J. Environ. Treat. Tech.  
ISSN: 2309-1185  
Journal web link: http://www.jett.dormaj.com  
https://doi.org/10.47277/JETT/8(3)1218  
Investigating Factors Affecting Construction  
Workers Performance  
1
*
2
3
Wibawa Prasetya , Christine Natalia , Stella  
1
Senior Lecturer, Industrial Engineering , Atma Jaya Catholic University of Indonesia, Indonesia  
2
Lecturer, Industrial Engineering , Atma Jaya Catholic University of Indonesia, Indonesia  
3
Research Fellow, Industrial Engineering , Atma Jaya Catholic University of Indonesia, Indonesia  
Received: 29/05/2020 Accepted: 29/07/2020 Published: 20/09/2020  
Abstract  
Employee performance is fundamental to successful execution of construction project where it depends by internal and external  
factors. To increase employee performance, the organization should analyze the external factors that may reflect on employee  
performances. This research examines the relationship of work-life balance, mental workload and job satisfaction with the  
performance of construction employee. Data collection using questionnaires that have been tested for validity and relibiality and  
sampling technique using purposive sampling. The data processing was done by using NASA-TLX method to find out the mental  
workload and SEM (Structural Equation Modeling) method. The results showed that the mental work load negatively affect job  
satisfaction and employee performance, work-life balance positivetly affect job satisfaction and employee performance, and job  
satisfaction positively affect employee performance. The findings of the paper can be a guidance for construction companies to  
formulate strategy for increasing employee performances by adding the number of employees for the workload to be decreased,  
compressing work week for a balanced work-life and to promote the employees more frequently to increase job satisfaction.  
keywords : Work-Life Balance, Mental Workload, Job Satisfaction, Employee Performance, SEM  
Introduction1  
working hours and frequent overtime can affect the workload  
1
experienced by employees, which based on previous research,  
excessive working hours can add to the burden it receives (7).  
Excessive workloads can cause errors such as misinformation  
or errors in carrying out the works that can be fatal to the  
continuity of the project (8). Thus, the organizations need to  
pay attention to the workloads experienced by its employees  
Construction project is very dependent on the performance  
of its employees, especially site-based employees.  
Professionals who work in the construction field such as  
engineers or architects have a very important role in order to  
faciliate effective communication between field workers and  
the organization and also solving problems in the workplace.  
In addition, these professional employees must coordinate  
with other project parties such as clients, designers, suppliers,  
sub-contractors and others (1). Therefore, it can be said that  
the performance of professional employees is fundamental to  
successful construction projects (1). Employees’ performance  
in general is influenced by two factors, namely the willingness  
and abilities of employees to complete the works entrusted to  
them, as well as external factors from the companies (2), (3).  
One of the external factors from the organizations is work-life  
balance. Work-life balance is a condition where employees  
can balance work with other things or commitments such as  
family, hobbies, art, etc (4). Construction work has a very  
demanding work environment that is likely to have an adverse  
influence on its employees’ life (5). Work in the construction  
field can put high pressure on workers due to deadlines,  
frequent meetings with shareholders and sub-contractors,  
problem solving on the ground which certainly causes long  
working hours and often has to work on holidays. Thus,  
construction companies need to take the initiative to support  
the work life balance experienced by their workers (6).  
Construction work is a complex job and often takes a very  
long working hours, especially among project staffs who work  
in the field office (site-based employees). The length of  
(
9). These workloads consist of two; physical load and mental  
demand in which the physical burden is generally easier to  
identify while the mental burden is much more difficult to  
estimate. Based on previous research, the calculation of  
mental load has a high possibility in increasing the workers’  
productivity and safety conditions (8), (10).  
Job satisfaction is also one of the external factors that  
need to be considered by the organizations. Job satisfaction is  
an emotional state that is both pleasant and unpleasant about  
the views of workers on their works (11). Based on research  
of job satisfaction in the US construction field, it is said that  
job dissatisfaction is a factor that triggers low productivity and  
causes increased costs and late completion of the project (12).  
Workers will be more productive and willing to stay in their  
careers for a longer period of time if they are satisfied with  
their jobs (13). The followings are some previous studies  
regarding the effects of work-life balance, mental workload  
and job satisfaction on employee performance. In the research  
of Romel G. Solis Carcano and Jose A. Gonzalez Fajardo (2)  
a
research was conducted on the job satisfaction of  
construction employees in Mexico using the Minnesota  
Satisfaction questionnaire. The results of this study indicate  
that project employees in Mexico still feel dissatisfied with  
their jobs, especially for the salary levels. However, this study  
does not discuss further about the consequences of employee  
dissatisfaction with the employee's performance. Then in  
Renty Anugerah Mahaji Puteri and Zafira Nur Kamila  
Corresponding author: Wibawa Prasetya, Senior Lecturer,  
Industrial Engineering, Atma Jaya Catholic University of  
Indonesia, Indonesia. Email: wibawa.prasetya@atmajaya.ac.id  
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Journal of Environmental Treatment Techniques  
2020, Volume 8, Issue 3, Pages: 1209-1219  
Sukarna (14) carried out workload analysis at PT. ABC  
Construction using the CVL and NASA-TLX methods. From  
the results, it was found that the mental workload experienced  
by the engineer head office and project engineer was in the  
medium category and a proposal was made to divide the work  
effectively and efficiently between the engineer leader and the  
assistant engineer. However, this study does not discuss  
further about the impact of the workload experienced by  
employees on employee satisfaction and performance.  
Another research conducted by Jiayu Chen, John E. Taylor  
and Semra Comu regarding the measurement of mental  
In the research of Yo and Surya (16) entitled “the influence of  
workload on job satisfaction with job stress as mediation  
variable” shows that workload has a negative effect on  
employee satisfaction. Employees with high mental workloads  
tend to be stressed out and not satisfied with their jobs. Thus  
the following hypotheses are proposed:  
H0  
3
: Mental workload has no effect on job satisfaction  
H3: Mental workload affects job satisfaction  
4) The relationship between mental workload and employee  
performance  
In Ningsih’s research (17) on the relationship between  
workload and job satisfaction with employee performance in  
eye hospital medial record installation Dr. Yep Yogyakarta”  
shows that workload affects employee perofrmance with a  
negative impact. Employees with high levels of mental  
workloads tend to perform poorly. Thus the following  
hypotheses are proposed:  
workload  
in  
construction  
projects  
using  
electroencephalography (EEG) and NASA-TLX methods.  
This study only measured the mental workload and did not  
analyze the effect of this mental workload on the satisfaction  
and performance of its employees.  
In the research of Helen Lingard, Kerry Brown, Lisa  
Bradley, Caroline Balley and Keith Townsend, a study  
concerning the improvement of the work life balance of  
workers in the construction industry was conducted. The  
result of this study is the compressing of work time in a week  
to 5 working days can improve the work-life balance  
experienced by workers. However, this study does not discuss  
further the effect of work-life balance on employee  
satisfaction and performance. In addition, research on work-  
life factors that affect the satisfaction of handicraft  
construction workers, no further analysis of the influence of  
the work-life factors on employee performance is carried out.  
Based on previous studies, it can be seen that there is no  
research that examines the influences of work life balance,  
mental workload and job satisfaction on employee  
performance in the construction field. Studies on job  
satisfaction in the construction industry have been conducted,  
but almost all of them have only analyze the effects on the  
laborers. This study aims to analyze the relationship between  
work-life balance, mental workload and job satisfaction with  
employee performance. The method used is structural  
equation model (SEM) to analyze the relationship between  
each variables.  
4
H0 : Mental workload has no effect on employee performance  
H4: Mental workload affects employee performance  
5) The relationship between job satisfaction and employee  
performance. In Ningsih’s research (17) shows that job  
satisfaction affects employee performance with a positive  
impact. Employees with high level of job satisfaction tend to  
perform well. Thus the following hypotheses are proposed:  
3
H0 : Job satisfaction has no effect on employee  
performance  
H3: Job satisfaction affects employee performance  
3
Methodology  
In the research methodology, there are stages that must be  
carried out in order for the research’s objectives to be  
achieved.  
3
.1 Preparation  
At this stage, a field study was conducted, specifically a  
visit to one of the construction companies in Jakarta in order  
to find information about problems that occurred in the  
company and a preliminary study was conducted as a basis for  
determining the research topic. Literature studies were also  
conducted from books and research journals covering all  
variables, namely work-life balance, mental workload, job  
satisfaction, employee performance and the method used  
which is the SEM method.  
2
Model Building & Research Hypotheses  
The following hypotheses are proposed:  
1
)
The relationship between work-life balance and job  
satisfaction. In the study of Ganapathi and Gilang (15) on the  
effect of work-life balance on employee job satisfaction (case  
study at pt. bio farma persero) shows that work-life balance  
has a positive effect on job satisfaction, which means that  
employees with high work-life balance tend to have a high  
level of job satisfaction. Thus the following hypotheses are  
proposed:  
3.2 Research Design  
Based on the theories and previous researches, obtained  
the hypotheses that will be applied in research is obtained. In  
this study, there are exogenous and endogenous variables.  
Exogenous variables are independent variables that affect  
other variables. This exogenous variables consists of work-life  
balance and mental work load. Endogenous variables are  
dependent variables that are influenced by other variables in  
the study, namely job satisfaction and employee performance.  
The model research that iss being used in this research can be  
seen in Figure 1and the indicators and statements used in the  
questionare can be seen in Tabel 2. After designing the  
questionnaire, the preliminary questionnaire is distributed to  
test the validity and reliability of the statements. The initial  
questionnaire that got distributed were only for work-life  
balance, job satisfaction and employee performance  
questionnaires, while for the mental workload questionnaire,  
this research uses NASA-TLX questionnaire so there was no  
need for preliminary questionnaires. The preliminary  
questionnaire was distributed to 30 respondents / workers  
form one of the construction companies in Jakarta.  
H0  
1
: Work-life balance has no effect on employee job  
satisfaction  
H1: Work-life balance affects job satisfaction  
2
)
The relationship between work-life balance and employee  
performance. In the research of Ischevell Vialara Saina, Riane  
Johnly Pio, and Wihelmina Rumawas entitled ”The Effect of  
Work Life Balance and Compensation on Employee  
Performance on PT. PLN Suluttengo Manado Area” shows  
that work-life balance affects employee performance with a  
positive impact. Employees with a balance work-life tend to  
perform well. Thus the following hypotheses are proposed:  
2
H0 : Work-life balance has no effect on employee  
performance  
H2: Work-life balance affects employee performance  
3
)
The relationship between mental workload and job  
satisfaction  
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Journal of Environmental Treatment Techniques  
2020, Volume 8, Issue 3, Pages: 1209-1219  
Tabel 1: Operational Definition and Indicator  
Operational Definition Manifest Variables (Indicator)  
Latent  
Indicato  
Source  
r Code  
Variables  
Construct)  
(
Social balance  
Physical balance  
Intellectual balance  
Career balance  
Emotional balance  
Spiritual balance  
Task Demand  
Effort  
Performance  
Time load  
Psychological pressure  
Salary  
Promotion  
Colleagues  
Supervisor  
Occupation  
Work quality  
Work quantity  
Working hours  
Team work  
A1  
A2  
"
Employees can freely use their flexible  
Work-life  
balance  
work hours to balance their job with other  
commitments such as families, arts, studies  
and to not only focus on their jobs (18)  
A3  
A4  
A5  
A6  
B1  
B2  
B3  
B4  
B5  
C1  
C2  
C3  
C4  
C5  
D1  
D2  
D3  
D4  
Rachman and  
Savitri (2007)  
Mental workload is the difference between  
Hart and  
Staveland  
(1988)  
Mental  
Workload  
task demands with the maximum load  
capacity of the mental demands of a person  
in a motivated state” (19)  
"
A positive emotion that cimes form an  
Celluci et al.  
Job Satisfaction  
Performance  
employee’s job assessment or work  
experience” (20)  
(1978)  
Dyne et al in  
Mas'ud (2006)  
and Diblitis  
(2010)  
"The ability of employees to do certain  
skills” (21)  
Tabel 2: Variables and Indicators for Questionnaire  
Latent Variable  
Manifest Variable  
(Indicator)  
Indicator  
Statement Items  
Code  
(Construct)  
A.1.1.  
A.1.2.  
A.2.1.  
A.2.2.  
I have a lot of time for my family  
I have time to meet up with friends  
The work provided is not tiring  
I have time for excersicing  
Social balance  
Physical balance  
A.3.1.  
I have gotten a lot of knowledge since working in the company  
Intellectual balance  
Career balance  
Emotional balance  
Spiritual balance  
Salary  
A.3.2.  
A.3.3.  
I received various traning that are useful for works  
I can manage my tasks without feeling pressured  
Work-life  
balance  
A.4.1.  
My job would be useful in the development for my carreer  
A.5.1.  
A.5.2.  
I can divide my time to have some fun  
I can use my own thoughts in finishing my tasks  
A.5.3.  
A.6.1.  
I feel confident with my works  
I can divide my time for my religious needs  
C.1.1  
C.1.2.  
C.1.3.  
My salary is compatible to the works that I do  
My salary is enough to support my family  
My company has provided many incentives for its employees  
Job Satisfaction  
Figure 1: Model Research  
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2020, Volume 8, Issue 3, Pages: 1209-1219  
Tabel 2: Variables and Indicators for Questionnaire (Cont.)  
Latent Variable  
Construct)  
Manifest Variable  
(Indicator)  
Indicator  
Code  
Statement Items  
(
C.2.1.  
I feel satisfied with the promotion policies  
The frequency of promotion is quite fast  
Promotion  
Colleagues  
C.2.2.  
C.3.1.  
C.3.2.  
C.4.1.  
C.4.2.  
I can communicate well with all my co-workers  
I can work together with all my co-workers  
I can communicate well with my supervisors  
My supervisors always help me whenever I have troubles  
My supervisors always give me supports and evaluations of my  
works  
Supervisor  
Occupation  
C.4.3.  
C.5.1.  
My work is interesting and fun  
I feel satisfied with the amount of responbilities that I receive in  
doing my job  
C.5.2.  
D.1.1.  
D.1.2.  
The task done is meeting the company standards  
Employee doing his responbilities as described in the job description  
Work quality  
Work quantity  
D.1.3.  
D.1.4.  
D.1.5.  
Employee follows the procedures and policies set by company  
Employee can plan and organize his tasks  
Employee works with high creativity  
Performance  
D.2.1.  
Employee is willing to help other employees with excessive workload  
D.2.2.  
D.2.3.  
D.2.4.  
Employee is willing to help the new employee  
Employee’s attendances at work exceeds the requirement  
Employee is willing in doing extra effort to finish his task  
Employee is willing to replace other employees who are not present if  
his job is done  
D.2.5.  
D.3.1.  
D.3.2.  
Employee always comes on time  
Employee uses his break time according to the provisions  
Working hours  
Team Work  
D.3.3.  
D.3.4.  
D.3.5.  
Employee uses his time in office / office-site to work  
Employee uses his time efficiently  
Employee uses his time effectively  
D.4.1.  
D.4.2.  
D.4.3  
D.4.4.  
Employee is able to communicate with his co-workers  
Employee is able to adapt in a team  
Employee is able to work together in a team  
Employee is willing to work with other employees  
This is in accordance with Singarimbun and Efendi (22)  
and Sugiyono (23) which states that the minimum number of  
trial questionnaires is 30 respondents because with this  
minimum amount, the distribution of values will be closer to  
the normal curve.  
value with df = n-2 = 30-2 = 28, so that the r table value =  
0.361. In this study, all validity test results have been valid.  
4.2 Reliability Test  
Reliability test is done to find out whether the  
questionnaire will have the same and consistent results if  
tested in other time. Statement items are said to be reliable if  
the Cronbach alpha value is > 0.60 (24). In this study, it was  
found that the questionnaire was reliable.  
3
.3 Data Collection  
The object of this research is one of the construction  
company projects in Jakarta with 150 respondents according  
to Hair et al. in Ghozali and Fuad (24) which states that the  
sample size for the SEM method with the maximum  
likelihood approach is 100-200 samples.  
4.3 Respondents’ Characteristics  
Based on table 3, it is known that the age range of 30-35  
years has the largest percentage value of 38%. Employees at  
this age are generally married and have children hence work-  
life balance is needed to maintain the family harmony. In  
addition, it is known that the majority of employees who work  
at this construction project is male (88%) and generally  
married (57%). This marital status can affect the level of  
work-life balance because employees who are married  
naturally want to have time for family so that if the level of  
work-life balance is low then it could affect job satisfaction  
and employee performance.  
4
Results  
4
.1 Validity Test  
Validity test is used to find out whether the questionnaire  
used for research has been accurate to measure existing  
research variables. Validity test is done using SPSS software  
by comparing the value r count for each item statements with r  
table where the statement item is said to be valid if the value r  
count > r table and r is positive (24). r table used is the r table  
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2020, Volume 8, Issue 3, Pages: 1209-1219  
Tabel 3: Respondents’ Characteristics  
Category  
18-23 years old  
Criteria  
Age  
Total  
Percentage  
13%  
15%  
37%  
13%  
21%  
100%  
88%  
12%  
100%  
43%  
57%  
100%  
0%  
20  
23  
56  
19  
32  
150  
132  
18  
150  
64  
86  
150  
0
2
3
3
4-29 years old  
0-35 years old  
6-41 years old  
>41 years old  
Total  
Sex  
Men  
Women  
Total  
Marital Status  
Single  
Married  
Total  
Education Degree  
Middle school or equivalent  
High school or equivalent  
Associate Degree / Diploma or equivalent  
Bachelor degree or equivalent  
Master degree or equivalent  
Others  
26  
4
96  
24  
0
17%  
3%  
64%  
16%  
0%  
Total  
Period of Working  
150  
7
100%  
5%  
<1 year  
1
5
>
-4 years  
-9 years  
9 years  
84  
29  
30  
150  
56%  
19%  
20%  
100%  
Total  
From the results of the respondents' data it is known that  
the majority employees in this construction project have a  
bachelor degree or equivalent (64%) with the majority have  
been working for 1-4 years (56%).  
The addition of the employees aims to avoid  
excessive mental workload which can cause errors that can  
harm the company. This is also supported by the results of this  
research hypothesis, which states that workload affects work  
satisfaction and employee performance. By adding employees  
to each division in accordance with the proposed amount, the  
employee will get an optimal workload which could increase  
job satisfaction and employee performance that can benefit the  
company.  
4
.4 Mental Workload Calculation  
The calculation of the average weighted workload is  
conducted for each divition as follows in table 4. To calculate  
the optimal number of employees, the total weighted  
workload value for each division is divided by the average  
workload. The average workload used is 60, because the value  
of 60 is the upper limit of the moderate / optimal workload  
group, but not included in the high workload group. The result  
of the optimal number of employees calculation is in table 5.  
4.5 Research Model Analysis  
Based on table 6, in the initial estimation results there are  
10 parameters that are fit and 7 parameters that are not fit.  
According to Wijanto (25), the suitability assessment of the  
model was assessed based on the number of model sizes that  
could be fulfilled by the suitability of the research model. The  
more matched target values are met the better the model or in  
other words the GOF parameter must be fit> 50%. In this  
study the parameters that meet the target of 58.82% can be  
said that the model is fit. However, modifications can be made  
to get the maximum GOF results. From the results of the  
modification, it was found that there was a change in RMSEA  
where the initial RMSEA was 0.073 to 0.039 so that it became  
fit. Besides that, P also changes, from 0 to 1 so it becomes fit.  
From the results of the modification, it can be seen that the  
difference in the number of fit increases even though only 1  
differs so that the fit parameter is 11 and the parameter does  
not fit 6 so that the parameters that meet the target are 64.71%  
so that it can be said that the model is fit. From the results of  
table 7, it was found that all variables were reliable because  
composite reliability> 0.70 and extracted variance> 0.5 (25).  
Although the satisfaction and performance variables have a  
extracted variance smaller than 0.50, it can still be said to be a  
reliable model.  
Table 4: Mental Workload Result  
Weighted Workload  
Divition  
Category  
Average  
Engineering  
67,3  
High  
High  
High  
Quality Control  
72,71  
Quantity Surveyor 76,98  
Table 5: Optimal Number of Employees  
The number of  
operatosr right  
now  
The number  
of proposed  
operators  
Divition  
Engineering  
79  
56  
15  
89  
68  
20  
Quality Control  
Quantity Surveyor  
From the results of Table 4. it was found that the average  
mental workload of each division was included in the high  
category, thus requiring an increase in the number of  
employees to achieve an optimal number of employees.  
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2020, Volume 8, Issue 3, Pages: 1209-1219  
Figure 2: Path Diagram Standardized Solution  
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2020, Volume 8, Issue 3, Pages: 1209-1219  
Figure 3: Path Diagram T-Value  
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Tabel 6: Goodness of Fit  
GOF Category  
Parameter  
Estimation Result  
Modification Result  
Chi-Square  
P-Value  
Small value  
p > 0,05  
1954,25  
0
1438,40  
0
NCP  
Small value  
879,79  
240,24  
RMSEA  
P
RMSEA ≤ 0,05  
p > 0,05  
0,073  
0
0,039  
1,00  
Lower than Saturared  
Model and  
Independence Model  
ECVI = 14,82  
ECVI = 10,79  
ECVI  
AIC  
Saturated = 16,44  
Independence = 188,64  
AIC = 2208,79  
Saturated = 24500  
Independence = 28106,99  
CAIC = 2625,89  
Saturated = 16,44  
Independence = 188,64  
AIC = 1608,24  
Saturated = 24500  
Independence = 28106,99  
CAIC = 2181,76  
Lower than Saturared  
&Independence Model  
Lower or near Saturared  
and Independence  
Saturated = 7363,03  
Saturated = 7363,03  
CAIC  
Independence = 28303,51  
Independence = 28303,51  
NFI  
NNFI  
CFI  
≥ 0,90  
0,93  
0,97  
0,97  
0,97  
0,93  
95,09  
0,066  
0,65  
0,61  
0,95  
0,99  
0,99  
0,99  
0,94  
124,60  
0,058  
0,73  
0,70  
≥ 0,90  
≥ 0,90  
IFI  
≥ 0,90  
RFI  
≥ 0,90  
CN  
≥ 200  
RMR  
GFI  
AGFI  
Standardized ≤ 0,05  
≥ 0,90  
≥ 0,90  
Tabel 7: Reliability dan Variance Extracted  
1
H0 : Work-life balance has no effect on employee job  
satisfaction  
Composite Reliability  
0,9321  
Variance Extracted  
H1: Work-life balance affects job satisfaction  
Basic decision making:  
WLB  
BM  
0,5345  
0,585  
If the probability value is > 0.05 or t count < t table or - t  
count> - t table, then H01 is accepted.  
If the probability value is < 0.05 or t counts > t table or - t  
counts <- t table, then H01 is rejected.  
The t table value for alfa = 0.05 is 1.96.  
Decision:  
0,8935  
KPSN  
KNJ  
0,9211  
0,4954  
0,4479  
0,93815  
2
4
.6 R value / Squared Multiple Correlation  
a. R value of Work-Life Balance and Workload  Job  
The value of t count work-life balance against job  
2
satisfaction> t table (6.65> 1.96) then reject H01 which means  
that the work-life balance affects employee job satisfaction  
2) The relationship between Work-Life Balance with  
Employee Performance  
Hypotheses:  
2
H0 : Work-life balance has no effect on employee  
Satisfaction is 0.68, which means that 68% of the variance in  
the work satisfaction variable is explained by the work-life  
balance and workload variables while the other 32% is  
explained by variables other than work-life balance and  
workload.  
2
b. R value of Job Satisfaction, Work-Life Balance and  
performance  
Workload  Performance is 0.66, which means that 66% of  
the variance in employee performance variables is explained  
by the variables of job satisfaction, work-life balance and  
workload while the other 34% are explained by variables  
other than job satisfaction, work-life balance and workload.  
H2: Work-life balance affects employee performance  
Basic decision making:  
If the probability value is> 0.05 or t count <t table or - t  
count> - t table, then H01 is accepted.  
If the probability value is <0.05 or t counts> t table or - t  
counts <- t table, then H01 is rejected.  
The t table value for alfa = 0.05 is 1.96.  
Decision:  
4
.7 Research Hypotheses Analysis  
This hypothesis testing is done by comparing the t value  
of the results of the structural equation model (SEM) with the  
t table value at the 5% significance level (t table = 1.96). H0 is  
accepted if the t value is smaller than 1.96 or greater than -  
The value of t counts work-life balance against employee  
performance <t table (0.03 <1.96) then accept H02 which  
means that work-life balance does not affect employee  
performance significantly.  
3) The relationship between mental workload and job  
satisfaction  
1
1
.96.  
) The relationship between Work-Life Balance and Job  
Satisfaction  
Hypotheses:  
Hypotheses:  
1
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Journal of Environmental Treatment Techniques  
2020, Volume 8, Issue 3, Pages: 1209-1219  
H0  
3
: Mental workload has no effect on job satisfaction  
variables. Based on Kim's research, work-life balance has no  
direct effect on performance, but work-life balance affects  
employee commitment, where the work-life balance that is  
H3: Mental workload affects job satisfaction  
Basic decision making:  
If the probability value is> 0.05 or t count <t table or - t  
count> - t table, then H01 is accepted.  
If the probability value is <0.05 or t counts> t table or - t  
counts <- t table, then H01 is rejected.  
The t table value for alfa = 0.05 is 1.96.  
Decision:  
fulfilled will have a positive influence on employee  
commitment to the company. Grover and Crooker (31) found  
that employees in companies with work-life balance benefits  
had higher levels of commitment to the organization.  
Employees who have a high commitment to their company  
will improve their performance in order to provide a high  
contribution to the company, in accordance with the opinion  
of Mathieu and Zajac (32); Mayer and Schoorman (33); and  
Swailes (34).  
The value of t counts workload on job satisfaction <-t table (-  
2
.08 <-1.96) then reject H03, which means that workload has  
an effect on employee job satisfaction.  
4
)
The relationship between mental workload and employee  
performance  
From the results of hypothesis 3, it is known that the  
workload has a negative effect on job satisfaction. This means  
that a high workload will cause job satisfaction to decrease  
and vice versa, a low workload will lead to increased job  
satisfaction. This is consistent with the research of Mustapha  
and Ghee (35) which states that job satisfaction is influenced  
by daily workload, where employees are more satisfied when  
given a low workload. Construction industry has complicated  
and demanding task with high pressures, deadlines, and tight  
schedules. Mental distress can result from a mismatch  
between job demands and employee’s latitude in decision  
making (36). Employees that are constantly under mental  
stress can develop mental health problems such as depression  
and anxiety, which may not only compromise construction  
worker satisfaction level, but may distract workers’ attention  
from their job and result in accidents (37).  
From the results of hypothesis 4, it is known that the  
workload has a negative effect on employee performance.  
This is consistent with Ningsih's (38) study which states that  
workloads have a negative relationship or are inversely related  
to employee performance. Employees who have a high  
workload tend to perform poorly. Construction tasks require a  
great amount of physiological effort (10) and create a heavy  
mental load (8), (9). Mental fatigue results in effort  
disinclination, reduction in efficiency and alertness, and  
impaired mental performance (39). Mental fatigue also results  
in lack of focus and diligence in performing task appropriately  
(40). From the results of hypothesis 5, it is known that job  
satisfaction has a positive effect on employee performance.  
This is supported by Ningsih's (38) research which states that  
job satisfaction is directly proportional to employee  
performance. Employees who are satisfied with their work  
tend to have good performance. In the research of Leung et al.  
Hypotheses:  
H0 : Mental workload has no effect on employee performance  
H4: Mental workload affects employee performance  
Basic decision making:  
If the probability value is> 0.05 or t count <t table or - t  
count> - t table, then H01 is accepted.  
If the probability value is <0.05 or t counts> t table or - t  
counts <- t table, then H01 is rejected.  
The t table value for alfa = 0.05 is 1.96.  
4
Decision:  
The value of t counts the workload on employee performance  
<
workload affects employee performance.  
5
-t table (-2.23 <-1.96) then reject H04, which means that  
)
The relationship between job satisfaction and employee  
performance  
Hypotheses:  
H0 : Job satisfaction has no effect on employee performance  
H5: Job satisfaction affects employee performance  
Basic decision making:  
If the probability value is> 0.05 or t count <t table or - t  
count> - t table, then H01 is accepted.  
If the probability value is <0.05 or t counts> t table or - t  
counts <- t table, then H01 is rejected.  
The t table value for alfa = 0.05 is 1.96.  
5
Decision:  
T value calculated job satisfaction on employee performance>  
t table (4.77> 1.96) then reject H05 which means that job  
satisfaction affects employee performance.  
5
5
Discussion  
.1 Theoritical Implication  
From the results of hypothesis 1, it is known that work-life  
(
41) on job satisfaction of construction craft workers, it is  
found that improved job satisfaction can enhance workers’  
participation on the job, implementation of decided project  
goals and team cohesion, thus leading to better overall  
performance of a project. Kazaz et al. (42) did a research  
about variables that affect construction laborer productivity  
and found that job satisfaction is one of the critical  
sociopsychological factors that keep workers motivated.  
balance affects employee job satisfaction where the higher the  
work-life balance or the more balanced the employee's life  
between work and personal life, the more satisfied the  
employee will be at work. This is in accordance with the  
research of Ganapathi and Gilang (15) and Rani (26) which  
shows that work-life balance is positively and significantly  
related to job satisfaction directly. The study of Francis (27)  
of civil engineers reported to have higher commitment, job  
satisfaction and lower turnover intention when the  
organization supports the work-life balance initiatives. The  
research of Lingard, et al (28) shows that construction workers  
are satisfied with the compressed working week (5-days per  
week) because on the weekend they can have their time with  
family / friends. From the results of hypothesis 2, it is known  
that the work-life balance does not significantly influence  
employee performance. This is supported by research  
conducted by Cahyo Utomo, Indi Djastuti and Mahfudz (29)  
which obtained results that work-life balance has a positive  
effect on employee performance but not significant. This is  
also in line with Kim's (30) statement that work-life balance  
has an indirect effect on performance through commitment  
5
.2 Managerial Implication  
Based on the results of the research that has been done,  
construction companies need to pay attention to the workload  
experienced by their workers because of excessive workload  
can lead to reduced effort by workers, decreased efficiency  
and agility and disrupt performance (39). In addition, mental  
overload can cause a loss of work focus and the ability to do  
work properly (40). Therefore construction companies need to  
divide the work between employees equally and add the  
number of workers so that they can ease the work.  
From the results of the study, it was found that the  
work-life balance did not significantly influence employee  
performance. However, work-life balance has a significant  
1
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Journal of Environmental Treatment Techniques  
2020, Volume 8, Issue 3, Pages: 1209-1219  
effect on job satisfaction and job satisfaction has a significant  
effect on employee performance. So that construction  
companies still have to pay attention to the work-life balance  
of their employees in order to increase job satisfaction which  
then encourages employee performance to be maximum.  
Companies can narrow the workday of the week and increase  
work time in a day (28). Increasing job satisfaction can be  
done by increasing the frequency of promotion of employees,  
namely evaluating the performance of their employees. This  
performance appraisal should be carried out by superiors who  
hold employees directly below it so that the assessment can be  
carried out objectively. From the results of the performance  
appraisal, the company can consider promotion for employees  
with good performance so that other employees are motivated  
to work optimally.  
5. Lingard, H. and Francis, V. The Work-Life Experiences of Office  
and Site-Based Employees in The Australian Construction  
Industry. Journal of Construction Engineering and Management.  
2
004;22:991-1002.  
6
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Emily, J.M. Employee Preferences for Work-Life Balance  
Initiative In A Large New Zealand Construction Company.  
Theses, Unitec, New Zealand. 2010.  
7. Tarwaka. Industrial Ergonomic Basic Knowledge of Ergonomic  
and Applications in Workplace. Second Edition, Harapan Press,  
Surakarta. 2015.  
8
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Dadi, G.B. et al. Cognitive Workload Demands Using 2D and 3D  
Spatial Engineering Information Formats. Journal Construction,  
Engineering,  
4014001-8.  
Chen, J., John E. T., Semra, C. Assessing Task Mental Workload  
in Construction Projects: Novel Electroencephalography  
Approach. Journal of Construction Engineering and Management.  
Management.  
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0
9
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A
2
0
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4017053-13.  
6
Conclusion  
1
1
0. Abdelhamid, T.S., and Everett, J.G. Physiological Demands  
During Construction Work. Journal Construction, Engineering,  
Management. 2002;128(5):427-437.  
1. Côté, S. and Morgan, L.M, A longitudinal analysis of the  
association between emotion regulation, job satisfaction, and  
intentions to quit. J. Organiz. Behav. 2002;23:947-962.  
doi:10.1002/job.174.  
Project employee performance is very important to be  
considered by the company because employee performance is  
the foundation of successful construction projects. Thus,  
factors that affect employee performance are important to be  
considered by the company. From the results of the research,  
it was found that work-life balance has a significant effect on  
employee job satisfaction, but not significant on employee  
performance, mental workload has a significant effect on  
employee satisfaction and performance, and job satisfaction  
has a significant effect on the performance of construction  
employees. This study has limitations where the majority of  
employees who fill out the new questionnaire have work  
experience for 1-4 years so that they cannot be said to have  
enough experience. So that the next research can be done for  
employees who have experienced work that is 5 years and  
above. Subsequent research should conduct interviews to  
validate the results of the research to the workers so as to  
avoid biased results. In addition, further research can further  
examine the factors that influence the work-life balance and  
mental workload of construction employees.  
1
1
2. Borcherding, J.D. and Oglesby, C.H. Construction Productivity  
and Job Satisfaction. Journal Construction Division.  
1
974;100(3):413-431.  
3. Bedeian, A.G., Ferris, G.R., and Kacmar, K.M. Age, Tenure, and  
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A
14. Putri Handayani, Widiarti Hanum, Mayumi Nitami, Helmy  
Faizal. Factors relating to work stress in production of unit worke  
rs in pt. indo surya kencana. International Journal of Psychosocial  
Rehabilitation. 2020; 24: 2772-2777.  
5. Ganapathi, I Made Devan and Gilang, Alini. Work Life Balance  
Effects on Employee Satisfaction (Study Case PT. Biro Farma  
Persero). Jurnal Ecodemica. 2016;4(1):125-135.  
6. Yo, Putu Melati Purbaningrat dan Ida Bagus Ketut Surya. The  
Effect of Workload on Job Satisfaction with Work Stress as  
Mediation Variable. E-Jurnal Manajemen Unud. 2015;4(5):1149-  
1
1
1
165.  
1
7. Ningsih, Kori Puspita. The Relationship of Workload and Job  
Satisfaction on Employee Performance in Medical Instalation Dr.  
Yap. Eye Hospital Yogyakarta. Final Project. Muhammadiyah  
Surakarta University, Surakarta. 2013.  
Ethical issue  
Authors are aware of, and comply with, best practice in  
publication ethics specifically with regard to authorship  
(
avoidance of guest authorship), dual submission,  
18. Galea, Christopher & Houkes, Inge & Rijk, Angelique. An  
insider's point of view: How a system of flexible working hours  
helps employees to strike a proper balance between work and  
personal life. International Journal of Human Resource  
Management. 2014;25. 10.1080/09585192.2013.816862.  
manipulation of figures, competing interests and compliance  
with policies on research ethics. Authors adhere to publication  
requirements that submitted work is original and has not been  
published elsewhere in any language.  
1
9. Ghozali, I. and Fuad. Structural Equation Modeling: Structural  
Equation Modeling: Theory, Concept, and Application.  
Universitas Diponegoro Publishing, Semarang. 2005.  
Competing interests  
The authors declare that there is no conflict of interest that  
would prejudice the impartiality of this scientific work.  
20. Utomo, Cahyo. et al. The Effect of Work Life Balance on Work  
Stress With Implication to Employee Performance (Study Case  
BPK Representative Middle Java). Masters Thesis, Diponegoro  
University, Semarang. 2016.  
Authors’ contribution  
All authors of this study have a complete contribution for  
data collection, data analyses and manuscript writing.  
2
1. Saina, Ischevell Vialara. et al. The Effect of Work Life Balance  
and Compensation on Employee Performance in PT. PLN  
(Persero) Suluttenggo Manado. Jurnal Administrasi Bisnis.  
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016;4(3):1-9.  
2
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2
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