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The 2019 International Conference on Mining and Environmental Technology                  IOP Publishing
IOP Conf. Series: Earth and Environmental Science 413 (2020) 012024   doi:10.1088/1755-1315/413/1/012024
Identification of hygiene factor in the working environment at
Owned State Electrical Company of Mataram City
                      Lukman1*, I D Hastuti2, Asbah1, Iskandar3 and A A Gani2
                      1
                        English Language Education, Teacher Training and Education Faculty, Universitas
                      Muhammadiyah Mataram, Indonesia
                      2
                        PGSD, Teacher Training and Education Faculty, Universitas Muhammadiyah
                      Mataram, Indonesia
                      3
                        Library Department, Social Science and Politic Faculty, Universitas Muhammadiyah
                      Mataram, Indonesia
                      *)
                          Email: maofmi2009@gmail.com
                      Abstract. Human resources or employees are the most valuable asset of a company. Managing
                      employees is not easy because every employee has a specific character and background. A
                      company needs to encourage its employees to remain productive in their respective fields, and
                      employee job satisfaction needs to be improved so that employees can survive and work
                      comfortably. This study aims to examine the hygiene factor and its effect on employee job
                      satisfaction and empirically examine which factors influence more dominantly on job
                      satisfaction of employees in the Distribution Division of PT PLN (Persero) of Mataram
                      Branch. The type of research used is associative research. The data collection method applied
                      in this study is the use of a research instrument in the form of a questionnaire. This
                      questionnaire was distributed to each respondent. The analysis technique used is the SEM-
                      based variant, namely SEM with Smart PLS version 3.0 M3 software. PLS Analysis Results
                      show that there are two variables of hygiene factors that have a positive and significant effect
                      on employee satisfaction, namely interpersonal relationships with supervisors and company
                      policies and regulations. While other variables have no significant effect, namely interpersonal
                      relationships with coworkers; work safety and security; health; supervision method, and
                      salary/wages.
1. Introduction
PT. PLN (Persero) as an state-owned company in Indonesia, has the task of supplying and
regulating electricity. This company is also the only government-owned company that serves
electricity services. PT. PLN (Persero) has a vast number of consumers consisting of housings,
buildings, offices, and industries. Every year the need for electricity in Indonesia continues to
increase, on the other hand, PT. PLN (Persero) cannot fulfill electricity needs. However, PT. PLN
(Persero) continues to make efforts to fulfill electricity needs gradually throughout the country,
such as utilizing various alternative energy to be able to produce sufficient electricity supply. PT.
PLN (Persero) continues to improve the quality of its services due to many complaints from
customers.
   Similarly, PT. PLN (Persero) Mataram Area is an electricity service provider and service
network that operates directly under PT. PLN (Persero). The task of PT. PLN (Persero) Mataram
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Published under licence by IOP Publishing Ltd                          1
The 2019 International Conference on Mining and Environmental Technology                  IOP Publishing
IOP Conf. Series: Earth and Environmental Science 413 (2020) 012024   doi:10.1088/1755-1315/413/1/012024
Area is to encourage and support the implementation of the target of PT. PLN (Persero) so that
progress and success can be achieved. The progress and success of a company cannot be separated
from the role and the competency of human resources. In this context, companies need to manage
human resources to the maximum extent possible to remain productive.
    Human resources or employees are the most valuable asset of a company. Managing employees is
not easy because every employee has a specific character and background. To be able to manage
employees well, the company needs to encourage employees to remain productive in their respective
fields, and employee job satisfaction needs to be improved so that employees can survive and work
comfortably. Employees also need to be placed as the right partner in supporting the success of a
company so that employees can be satisfied with the work they are doing [1]. Some literature explain
that there are several factors that influence the level of satisfaction of an employee at work, including
company policy, salary, work safety, and security, and personal relationships.
    The work environment also influences the ongoing management. The work environment can be
divided into two forces, namely: the influence of internal environment (internal environment), and the
influence of external environment (external environment) [2]. Environmental influences on
motivation can be seen in sources within the work organization: infrastructure, sources of funds,
control or supervision, procedures, supervision, working conditions, work climate and welfare.
    One sign that causes poor working conditions of an organization is low job satisfaction. Jurges
argues that job satisfaction is an important outcome in labor market activities. Conversely high job
satisfaction is an indication of management effectiveness, which means that the organization has been
well managed. Often, management attempts to improve employee job satisfaction through salary and
wage improvements, which may still be acceptable at some level because by the salary increment
employees can meet their living needs [1]. But the fact is that high salary does not always make
employees satisfied with their work [3]. With high job satisfaction, employees are always motivated
to perform their job well that leads to an improvement of their performance [4]. Likewise, with PT.
PLN (Persero) Mataram Area, until now, employee job satisfaction has become one of the company's
priorities. From now on the part of the internal PT. PLN (Persero), Mataram Area is the distribution
sector. This distribution field handles technical services and electricity disruptions experienced by
consumers.
    It is necessary to examine the hygiene factors that affect employees' job satisfaction, which include
company policy, salary, occupational safety and security, and personal relationships to have an in-
depth examination to the level of employee satisfaction,. For example, a less conducive work
environment, such as internal problems between one employee and another employee or a leader will
have a direct impact on decreasing employee commitment. This will have an unfavorable impact on
the company so that work performance is low and employee productivity is also low. Therefore
policyholders need to know what factors influencing employee satisfaction or are known as Hygiene
Factors so that companies can improve job satisfaction of their employees, and ultimately, the
company's goals can be achieved.
2. Method
The type of research used is associative research. The data collection method was conducted by
distributing the questionnaire to respondents, and they were reqiuored to fill it based on the responses
they deemed most appropriate. The respondents in this study were 304 employees of PT. PLN of
Mataram Branch, spread in two zones, namely zone 1 (North Lombok, Cakra, Mataram) as many as
223 people and zone 2 (Praya, Selong, Pringgabaya) as many as 81 people.
    The questionnaire instrument uses a Likert scale. In the Likert scale, the measured variable is
described as a variable indicator; then the indicator is described as a starting point for compiling
instrument items which can be in the form of statements or questions [5]. Measurements are made
using data that has been collected by giving a score of 5, 4, 3, 2, 1 which is adjusted to the answer
criteria as follows:
a. Answers given a score of 5 Categories for answers are: Very Satisfied (SP)
                                                    2
The 2019 International Conference on Mining and Environmental Technology                  IOP Publishing
IOP Conf. Series: Earth and Environmental Science 413 (2020) 012024   doi:10.1088/1755-1315/413/1/012024
b.   Answers given a score of 4 Categories for answers are: Satisfied (P)
c.   Answers given a score of 3 Categories for answers are: Satisfaction (KP)
d.   Answers given a score of 2 Categories are: Dissatisfied (TP)
e.   Answers given a score of 1 Category are: Very Dissatisfied (STP)
    Based on the conceptual framework, the data analysis in this study uses correlation. Partial Least
Squares (PLS) analysis is a multivariate statistical technique that makes comparisons between
multiple dependent variables with multiple independent variables. PLS is one of the variant-based
SEM statistical methods that is designed to solve multiple regression when specific problems occur in
the data, such as small sample sizes, missing data and multicollinearity. PLS is a reliable tool to test
prediction models that are not based on various assumptions. It can be used to predict models with a
weak theoretical foundation and also on data that experiences classic assumption diseases (such as
data not normally distributed, multicollinearity problems, and autocorrelation problems). In addition,
it is also applicable for small sample sizes and formative and reflective constructs [6]. PLS is a
powerful analysis method because it is not based on many assumptions. Data does not have to be
multivariate norm distributed (indicators in the category scale, ordinal, the interval up to the ratio can
be used in the same model) and the sample does not have to be large [7].
    The data analysis technique used is SEM based on variants, namely SEM with SmartPLS version
3.0 M3 software. The stages of data analysis using PLS-SEM can be seen in Figure 1 [8].
              Designing a structural model (inner model) or building a path diagram to show
                                                causality
                               Designing a measurement model (outer model)
                  Flow chart conversion into structural equations and measurement model
                                               specifications.
                               Estimated path coefficient: loading and weight
                                          Evaluate the outer model
                                Evaluate the inner model and goodness of fit
                                             Hypothesis testing
                                          Interpretation of Results
                                 Figure 1. Stages of PLS-SEM Analysis
Hypothesis
a. Hypothesis 1 (H1): Interpersonal relationship with superiors has a positive and significant effect
   on employee satisfaction PT. PLN Persero area Mataram.
b. Hypothesis 2 (H2): Interpersonal relationship with work colleagues has a positive and significant
   effect on employee satisfaction PT. PLN Persero Mataram area.
                                                     3
The 2019 International Conference on Mining and Environmental Technology                  IOP Publishing
IOP Conf. Series: Earth and Environmental Science 413 (2020) 012024   doi:10.1088/1755-1315/413/1/012024
c. Hypothesis 3 (H3): The relationship between work security and safety has a positive and
   significant effect on employee satisfaction of PT. PLN Persero Mataram area.
d. Hypothesis 4 (H4): Company policies and regulations have a positive and significant effect on
   employee satisfaction at PT. PLN Persero Mataram area.
e. Hypothesis 5 (H5): Health has a positive and significant effect on employee satisfaction at PT.
   PLN Persero Mataram area.
f. Hypothesis 6 (H6): The supervision method has a positive and significant effect on the
   satisfaction of employees of PT. PLN Persero Mataram area.
g. Hypothesis 7 (H7): Wages have a positive and significant effect on employee satisfaction at PT.
   PLN Persero Mataram area.
3. Result and Discussion
3.1. Test results effect of free (exogenous) variables on boundable (endogenous)
It is necessary to pay attention to the coefficient of significance and t-value in each relationship
between variables to examine the effect of free variables (exogenous) on the dependent variable
(endogenous) in the study. Figure 2 below shows the value of t-values in each relationship.
                   Figure 2. Full model with t-value and between research variables
    The direct influence between construct variables can be seen from the results of the analysis of the
path coefficients values shown in Table 1. Based on Table 1, it can be explained that not all direct
relationships between variables are positive.
            Table 1. Effect of free (exogenous) variables on bound (endogenous) variables
                       Original        Sample           Standard      T Statistics        P Values
                      Sample (O)      Mean (M)          Deviation    (|O/STDEV|)
                                                        (STDEV)
    HIA  KK              0.23           0.23             0.08           2.96               0.00
    HIRK  KK             0.12           0.11             0.08           1.52               0.13
    KKK  KK             -0.03          -0.02             0.07           0.47               0.64
    KPP  KK              0.30           0.30             0.07           4.13               0.00
     KS  KK             -0.07          -0.05             0.08           0.91               0.36
                                                    4
The 2019 International Conference on Mining and Environmental Technology                  IOP Publishing
IOP Conf. Series: Earth and Environmental Science 413 (2020) 012024   doi:10.1088/1755-1315/413/1/012024
     MS  KK               0.09              0.09        0.09              1.03               0.30
     UP  KK              -0.06             -0.06        0.06              0.89               0.38
3.2. Hypothesis testing
The development of a structural model is also done to predict the causal relationship between
variables or hypothesis testing. A measure of the significance of the support of hypotheses can be
used to compare the values of T-tables and T-Statistics. If the T-Statistics value is higher than T-
Table, then the hypothesis is supported. For the 90% confidence level (alpha 10%), df = n-k = 304-
8-296, then the T-Table value for the one-tailed hypothesis test is ≥ 1.65. The following Table 2
show the results of the hypothesis testing of the effect of independent variables (exogenous) on the
dependent variable (endogenous).
                                        Table 2. Hypothesis testing
        Notation                  Coefficient              T.Statistics                 Result
          H1                        0.23                      2.96                Hypothesis Received
      (HIAKK)
          H2                         0.12                       1.52              Hypothesis Rejected
     (HIRKKK)
          H3                        -0.03                       0.47              Hypothesis Rejected
     (KKKKK)
          H4                         0.3                        4.13              Hypothesis Received
      (KPPKK)
          H5                        -0.07                       0.91              Hypothesis Rejected
       (KSKK)
          H6                         0.09                       1.03              Hypothesis Rejected
       (MSKK)
          H7                        -0.06                       0.89              Hypothesis Rejected
       (UPKK)
    Based on Table 2, for Hypothesis 1, coefficient path (0.23) shows that the variables of
interpersonal relations with superiors have a positive effect on employee satisfaction PT. PLN Persero
Mataram Area. The positive effect is significant, as indicated by the t-statistic value which is higher
than the T-table (2.96> 1.65). Hypothesis 2, coefficient (0.12) shows that the variables of
interpersonal relations with superiors have a positive effect on employee satisfaction of PT. PLN
Persero Mataram Area and is not significant as indicated by t-statistic values which is smaller than T-
table (1.52 <1.65). Hypothesis 3, coefficient (-0.03) shows that the variables of interpersonal relations
with superiors do not have a positive effect on employee satisfaction of PT. PLN Persero Mataram
Area and is not significant as indicated by t-statistic values which is smaller than T-table (0.47 <1.65).
Hypothesis 3, coefficient (0.03), it shows that the policy variable of the company regulation has a
positive effect on the satisfaction of the employees of PT. PLN Persero Mataram Area and is
significant which is indicated by a large t-statistic value of the T-table (4.13> 1.65). Hypothesis 3,
coefficient (0.03), it shows that the policy variable of the company regulation has a positive effect on
the satisfaction of the employees of PT. PLN Persero Mataram Area and is significant which is
indicated by a large t-statistic value of the T-table (4.13> 1.65). Hypothesis 5, coefficient (-0.07),
shows that health variables do not have a positive effect on employee satisfaction of PT. PLN Persero
Mataram Area and is not significant as indicated by small t-statistic values of T-table (0.91 <1.65).
Hypothesis 6, coefficient (0.09) shows that the supervision method variable has a positive effect on
employee satisfaction of PT. PLN Persero Mataram Area and is not significant as indicated by a small
t-statistic value of the T-table (1.03 <1.65). Hypothesis 7, coefficient (-0.06) shows that the wage
                                                     5
The 2019 International Conference on Mining and Environmental Technology                  IOP Publishing
IOP Conf. Series: Earth and Environmental Science 413 (2020) 012024   doi:10.1088/1755-1315/413/1/012024
variable does not have a positive effect on employee satisfaction of PT. PLN Persero Mataram Area
and is not significant as indicated by a small t-statistic value of the T-table (0.89 <1.65.) Overall, there
are 2 (two) variables of hygiene factors that have a positive and significant effect on employee
satisfaction, namely interpersonal relationships with superiors and company policies and regulations,
while other variables have no significant effect, namely interpersonal relationships with co-workers;
occupational safety and security; health; supervision method, and salary.
4. Conclusion
Overall Index of respondents' perceptions of Employee Satisfaction and Hygiene Factors (covering
Company Policies and Regulations; Interpersonal Relations with Colleagues; Interpersonal
Relations with Bosses; Salaries / Wages; Supervision Methods; Occupational Safety and Security;
Health) are high. The perception index of respondents in zone 2 (Praya, Selong, Pringgabaya)
groups is higher than that in the zone 1 group (North Lombok, Cakara, Mataram) with a value of
84,053> 83,484. The highest perception index for the zone 1 hygiene factor is occupational safety
and security (85.70), and the lowest is salary or wages (79.93). The highest perception index for
zone 2 hygiene factors is interpersonal relationships with co-workers (87.47), and the lowest is
salary or wages (76.36). PLS Analysis Results shows, in reality, there are 2 (two) variables of
hygiene factors that have a positive and significant effect on employee satisfaction, namely
interpersonal relationships with superiors and company policies and regulations. While other
variables have no significant effect, namely interpersonal relationships with co-workers;
occupational safety and security; health; supervision method, and salary.
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