�
American Journal of
Economic and Management Business
p-ISSN: XXXX-XXXX
�e-ISSN: 2835-5199
Vol. 2 No. 4 April 2023
The
Influence Coping Strategies on Employee Performance
(Case
Study of Students at University in Jakarta Indonesia)
Anik Herminingsih
Mercu Buana University, DKI Jakarta, Indonesia
Email: [email protected]
Abstract
The problem faced by contract employees is uncertainty
about the continuity of their work, which creates work pressure. Individuals
who experience work pressure will take steps which are known as coping. This
research aims to analyze the influence of individual employee coping choices on
their performance. It is hoped that the research results can provide input for
human resource management policies, especially in dealing with contract
employees. The coping strategies studied consisted of problem-focused coping,
emotion-focused coping and religious coping. The
research was conducted on employee class students at Mercu
Buana University, Jakarta, involving 100 respondents.
The highest score of coping carried out by respondents was positive religious
coping, followed by problem-based coping, emotion-based coping, and negative
religious coping. The research results show that religious coping is positive,
problem-based coping has a positive and significant effect on employee
performance, and negative emotion-based coping also has a positive and
significant effect on performance, respectively. Negative religious coping has
a negative and significant effect on performance.
Keywords: Problem-Based Coping, Positive Religious Coping, Emotion-Based Coping.
This article is licensed under a Creative
Commons Attribution-ShareAlike 4.0 International
INTRODUCTION
In the context of contract employees, the
fact is that workers are in a tight situation, they are finally willing to work
with contract employee status because on the one hand, the needs of workers and
their families are so urgent, on the other hand, job opportunities are very
scarce while the queue of people who want work is so long, so there is no
choice for them but to accept the contract work system (contract employees).
This is supported by the results of research by Dewi
A study by Kunarti
Ratnasari
Coping is a
cognitive effort and action to manage demands from outside and/or within an
individual that are detrimental to Lazarus & Folkman in Primaldhi
(2006). Richter et al.
Considering
the importance of managing contract employees to obtain good organizational
performance, it is necessary to understand the coping mechanisms of contract
employees and their relationship with performance. This research will examine
the influence of choosing coping strategies on job insecurity and its influence
on employee performance. The research was carried out on employee class
students at Mercu Buana
University, Jakarta.
RESEARCH METHODS
The research uses a
survey method, and is explanatory research which aims to explain the influence
between variables through hypothesis testing. The research population was all
contract employees who worked at the West Jakarta Mayor's Office, and studied
at Mercu Buana University
with totaling 234 employees. The sample was randomly
assigned to 213 employees.
The variables used in
this research consist of 5 variables, namely problem-based coping (X1),
emotion-focused coping (X2), positive religious coping (X3), and negative
religious coping (X4) as exogenous variables; while employee performance (Y),
is an endogenous variable. Endogenous variables are variables that are
influenced by other variables, intervening variables are intermediate variables
that are influenced by exogenous variables and influence endogenous variables,
while exogenous variables are variables that are not influenced by other
variables in the model. All variables are arranged in a questionnaire, which
consists of dimensions which are then described in indicators. Filling out the
questionnaire is carried out by self-rating, where respondents fill out the
questionnaire based on their own perception. The measurement scale uses a
Likert scale of 1 to 5.
Primary data was
collected using a questionnaire, which was filled in by self-report by
respondents. The technique of submitting questionnaires is delivered directly
to respondents, where this technique is better than sending questionnaires by
post because it can minimize differences in interpretation between respondents
and researchers.
Primary data was used to
estimate the model using structural equations (SEM) using the AMOS (Analysis of
Moment Structure) program package version 15. SEM was used because it allows
researchers to test relationships between complex variables to obtain a
comprehensive picture of the entire model. Apart from that, according to Bohlen
in Ghozali and Fuad (2005:3) SEM can also test things
together: 1) Structural model of the relationship between independent
constructs and dependent constructs. 2) Relationships related to the
measurement model, which can be seen from the loading values between indicators
and constructs (latent variables).
RESULT AND DISCUSSION
1. The Respondent Characteristics
����������� The characteristics of the
respondents were predominantly female with a total of 116 people or 54.5
percent. Most respondents were less than 25 years old, namely 146 people or
68.6 percent. This means that most of the respondents are the generation born
in the 90s. Considering that the respondents were employee class students, the
minimum education was high school for 159 people or 74.4 percent. Most of the
respondents were contract employees, as many as 113 people or 52.9 percent. Of
the 113 contract employees, most of them were in the first year of their
contract period, namely 58 people or 51.3 percent. The data shows that there
are 13 contract employees who have been on contract for more than 3 years or
11.5 percent, meaning that the number of contract employees who have been on
contract for more than 3 years is quite large.
2. Confirmatory Factor Analysis
����������� The
results of validity testing were carried out using the criteria for a loading
factor value of 0.5. Table 5.4. presents loading factor values and variant
extracts from measuring research variables. The values presented are only those
that meet the criteria, while those that do not meet the criteria are not
presented and are not included in further analysis. Testing of reliability
measuring instruments was carried out with a variant extract criterion of 0.7.
The measuring instruments for coping variables consisting of problem coping,
positive emotional coping, negative emotional coping, positive religious coping
and negative religious coping show that all variable measurements are valid.
The test results on performance measurements are all valid and reliable so that
all the questions in the questionnaire are used in the analysis.
����������� The
test results for the problem-based coping variable were only 3 valid questions,
while questions number 1 and number 4 were invalid so they were not used in the
analysis. The three questions for problem-based coping met the reliability
criteria and were suitable for use in the analysis. Measurement of positive
emotion-based coping variables was not included considering that all questions
were invalid so they were not included in the analysis. Negative emotion-based
coping only had 3 valid questions, so questions number 3 and number 5 were not
included in the analysis. The measurements of positive religious coping and
negative religious coping variables were all valid and reliable, so 5 questions
each were used in further analysis.
Table 1. The Validity and Reliability
Test Results
Variable/Indicator |
Loading Factor |
Validity |
Variant Extract |
Reliablity |
||
Employee Performance |
|
|
|
|
||
EP1 |
0,610 |
Valid |
0,823 |
Reliable |
||
EP2 |
0,694 |
Valid |
||||
EP3 |
0,803 |
Valid |
||||
EP4 |
0,513 |
Valid |
||||
EP5 |
0,649 |
Valid |
||||
EP6 |
0,737 |
Valid |
||||
EP7 |
0,672 |
Valid |
||||
Problem
Based Coping |
|
|
|
|
||
PBC2 |
0,929 |
Valid |
0,676 |
Reliable |
||
PBC3 |
0,532 |
Valid |
||||
PBC5 |
0,595 |
Valid |
||||
Emotion
Focused Coping |
|
|
|
|
||
EFC1 |
0,553 |
Valid |
0,718 |
Reliable |
||
EFC2 |
0,908 |
Valid |
||||
EFC4 |
0,561 |
Valid |
||||
Positive
Religious Coping |
|
|
|
|
||
PRC1 |
0,696 |
Valid |
0,893 |
Reliable |
||
�PRC2 |
0,539 |
Valid |
||||
�PRC3 |
0,630 |
Valid |
||||
�PRC4 |
0,896 |
Valid |
||||
�PRC5 |
0,731 |
Valid |
||||
Negative
Religious Coping |
|
|
|
|
||
NRC1 |
0,852 |
Valid |
0,919 |
Reliable |
||
NRC2 |
0,789 |
Valid |
||||
NRC3 |
0,826 |
Valid |
||||
NRC4 |
0,793 |
Valid |
||||
NRC5 |
0,802 |
Valid |
||||
Source : Research Data Processed (2021).
3. Data Normality Test
�������� The
data normality test was carried out using skewness and curtosis
criteria and the Mahalanobis index. In univariate the
assumption of normality is met, but in multivariate the values of kurtosis and
skewness exceed standard values. Based on the Mahalanobis
index value, there are p1 and p2 values that are less than 0.05, but the amount
is less than 10 percent so no data deletion was carried out.
4. Goodness-of-fit test
�������� Evaluation
of model suitability was carried out using 6 criteria, with cut-off values as
shown in Table 5.3. (Ferdinant, 2014). The values
obtained from the results of data processing with AMOS were then compared with
the cut-of values and the conclusion was obtained that of the 6 criteria, 4 of
the criteria indicated that the model was good while 2 of the criteria were marginal.
Based on the results of this evaluation, the model was declared suitable for
further analysis.
Table 2. Goodness-of-fit Indexes
Goodness-of-fit
Indeks |
Cut-of
Value |
Vaue |
Evaluation |
CMIN/DF |
<
= 2,00 |
1,258 |
Baik |
GFI |
>=0,90
|
0,888 |
Marjinal |
AGFI |
>=0,90 |
0,837 |
Marjinal |
CFI |
>=0,90 |
0,973 |
Baik |
PCFI |
>0,50 |
0,729 |
Baik |
RMSEA |
0,03
- 0,08 |
0,043 |
Baik |
Source : Research Data Processed (2021).
5. Hypothesis Testing Results
���������� Hypothesis testing is carried out
using the P value criterion of 0.05, namely if the P value is smaller than 0.05
then the research hypothesis is accepted and if it is greater than 0.05 then
the hypothesis is rejected. The results of hypothesis testing as in Table 2
show that there are four research hypotheses which are all accepted, namely: 1)
Problem-based coping has a positive and significant influence on performance,
2) Emotion focused coping has a positive influence on performance, 3) Positive
religious coping has a positive and significant influence on performance.
significant impact on performance, and 4) Negative religious coping has a
negative and significant impact on performance. Problem-based coping is the
coping that has the most significant influence on performance. This is in
accordance with theory and the results of previous research.
Table 3.� Hypothesis Testing Results
Estimate |
C.R. |
P |
Evaluation |
|||
Employee Performance |
<--- |
Problem Based Coping |
0,317 |
4,447 |
**** |
Hipotesis
accepted |
Employee Performance |
<--- |
Emotion
Focused Coping |
0,142 |
1,977 |
0,048 |
Hipotesis
accepted |
Employee Performance |
<--- |
Positive
Religious Coping |
0,155 |
2,725 |
0,006 |
Hipotesis
accepted |
Employee Performance |
<--- |
Negatif
Religious Coping |
-0,081 |
-2,023 |
0,043 |
Hipotesis
accepted |
Source : Research Data Processed (2021).
CONCLUSION
Conclusions describe the answers to hypotheses and/or
research objectives or scientific findings obtained. The conclusion does not
contain a repetition of the results and discussion, but rather a summary of the
findings as expected in the objectives or hypotheses. If necessary, at the end
of the conclusion can also be written things that will be done related to the
next idea of the research
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Copyright holders:
Anik Herminingsih (2023)
First publication right:
AJEMB � American Journal of Economic and Management Business