Afif Syarifudin Yahya
Institute of Internal
Government
Email:
[email protected]
|
ARTICLE INFO |
ABSTRACT |
|
Received: 08-09-2021 Revision: 13-09-2021 Received
: 16-09-2021 |
Regional head elections are one of the instruments to realize the
implementation of democratic regional government because the community can directly
choose the desired candidate to lead the implementation of government in the
future. This research method is used combined research
approaches (mixed methods), namely quantitative research approaches and
qualitative research. |
|
Keywords: The Influence; covid-19; pandemic
era |
Introduction
Regional head elections are one of the instruments to
realize the implementation of democratic regional government because the
community can directly choose the desired candidate to lead the implementation
of government in the future. This also reaffirms Abraham Lincoln's explanation
that stated the government of the �people, by the people and
for the people (Simamora,
2011).
On the other hand, regional head elections are a means of political education
for people who are direct, open, mass and educate the public about democracy (Haris, 1998).
Democracy is concerned with efforts to influence the quality of life of society
in addition to forms of institutions, rules, and processes of political
provisions, such as political participation in choosing leaders and government
structures (Sinaga,
2013).
In the context of local democracy, public participation
in regional head elections has given birth to horizontal relations and a very
broad commitment. Horizontal relationships as intended include trust,
cooperation, tolerance and solidarity that will eventually form a civic
community) and social solidarity will affect regional development performance (Putnam,
Helmers, & Trickett, 1993).
The existence of this relationship has put society in the right position that
is to make the community as a citizen not as 2 clients, make the community as a
partner (partner) in the administration of government, society is not a passive
object of policy recipients but as an active subject in policy determination,
and repositioning the meaning of participation is not a gift but is a citizen's
right (Eko, 2006).
Elections are not only an arena to express the freedom of the people in
choosing their leaders, but also an arena for assessing and punishing leaders
who appear before the people (Rakhman
& Muhammad, 2019).
Direct elections have been regulated in the Constitution
of the Republic of Indonesia 1945 article 22E paragraph (1) which reads
"Elections are held directly, publicly, freely, secretly, honestly, and
fairly every five years". While in the context of the election of regional
heads democratically has been also explained in article 18 paragraph (4) of the
Constitutionofthe Republic of Indonesia year 1945
which reads "Governor, Regent, and Mayor respectively as the head of
provincial, district, and city governments are democratically elected". So it can be understood that the implementation of regional
head elections directly and democratically is a mandate of the constitution
that must be implemented as it should be.
The threat of the Covid-19 virus pandemic (2019-nCoV)
which continues to increase after the implementation of regional head elections
simultaneously requires an exit strategy so that the next regional head
election can still be carried out without causing the addition of significant
confirmed cases of Covid-19 virus (2019-nCoV). Because it is not known when
non-natural disasters of the Covid-19 virus pandemic can be overcome. Various
stages of regional head elections such as: the registration of candidates, the
campaign period and voting / counting of votes must be increasingly supervised
and given strict sanctions for candidates / communities who violate health
protocols so that cases do not increase. Because at this stage there is usually
a collection of time that can result in an increase in positive cases of Covid-19..
In an effort to reduce the positively confirmed numbers
during the implementation of regional head elections, the Election Commission
of the Republic of Indonesia has established Election Commission Regulation No.
13 of 2020 on the Second Amendment to the Election Commission Regulation No. 6
of 2020 on the Implementation of The Election of Governors and Deputy
Governors, Regents and Deputy Regents, and/or Mayors and Deputy Mayors
simultaneously Continued In Nonalam Corona Virus Disease
Disaster Conditions 2019� (Covid-19),
which emphasizes prioritizing the use of media platforms in the internet or
online networks (electronic mass media, social media, and / Online media) in
the implementation of campaigns (Article 57 PKPU Number 13 of 2020) and in the
implementation of public debate (Article 59 PKPU Number 13 of 2020). This is in
accordance with the provisions of health protocols, namely maintaining distance
and avoiding crowds. However, the threat of contracting the Covid-19 virus still
exists because in the stages of the implementation of regional head elections
do not fully use information systems / technology. In some stages of the
regional head election, there are still contacts / meetings that cause crowds,
be it during the process of registering candidate pairs, taking the number of
candidate pairs, the campaign period, as well as voting and counting votes.
There are even 63 candidates for regional heads known to be Positive Covid-19.
Research
conducted by (Fauzi, 2019)
with the title: Influence of Competence on Employee Performance in the Bureau
of Government and Cooperation of the Regional Secretariat of West Java
Province. The focus of research is the influence of competence on employee
performance. The method used is explanatory survey with a sample number of 42
respondents. Data analysis and hypothesis testing using path analysis. The
results showed that simultaneously employee competence had a positive and
significant effect on performance with a contribution of 60.4% while the remaining
39.4% was influenced by other variables that were not studied (Suwaryo, Agustino, & Sulaeman, 2019).
The
Karawang District Election Commission has set a
permanent voter list of 1,643,490 people with a target voter participation rate
of 77.5% (seventy-seven five percent) but the target was not achieved as
outlined in table 1.3 as follows:
Voter
List, Voter Participation Target and Realization of Voter Participation Rate in
Karawang District Head Election
Table 1 Year 2020
|
Daftar Pemilih Tetap (Jiwa) |
Target Partisipasi Pemilih |
Realisasi Tingkat Partisipasi |
||||
|
Laki-Laki |
Perempuan |
Jumlah |
Jumlah |
Persentase (%) |
Jumlah |
Persentase (%) |
|
823.722 |
819.768 |
1.643.490 |
1.273.705 |
77,5 |
1.150.772 |
70,02 |
Source: processed from
various sources, 2021
Based
on data in table 1 it is known that in the general election of the regional
head of Karawang Regency in 2020, a permanent voter
list of 1,643,490 people consisting of 823,722 people of the male sex and
819,768 people of the female sex. Of the 1,643,490 people designated as
permanent voters, the Karawang District Election
Commission set a voter participation target of 77.5% (seventy-seven five
percent) or as many as 1,273,705 people who will use the right to vote.
However, the number of voters who use suffrage is only 1,150,772 people or
70.02% (seventy zero two percent). In other words, the number of voters who use
suffrage does not meet the targets that have been set by the Karawang District Election Commission.
The
results of the 2020 Karawang Regency regional head
election are certainly inseparable from the role of the organizers (apparatus)
in the regional head elections. The competence of the organizing apparatus
certainly affects the results, be it by the Regional Election Commission, the
Regional Election Supervisory Agency, the District Election Committee, the
Voting Committee and the Voting Organizing Group. The better the number and
quality of regional head election organizers, the better the results of the
general election obtained, as stated by (Fauzi, 2019)
In addition, (Sutedjo & Mangkunegara, 2018)
also explained that the competence of the apparatus affects the performance of
the apparatus.
Houston
and Robert (1972:3) say that "competence is an adecuacy
for task or possesion of requiered
knowledge, skill and abilities" (Murtafiah, 2019).
The presentation shows that competence refers to a person's knowledge and
skills in carrying out their duties. Competence is the capacity to handle a job
or task based on a predetermined standard.
Boyatzis
in Hutapea and Thoha (2008:
4) argues that the definition of competence is "The capacity that exists
in a person who can make that person able to fulfill what is required by work
in an organization, so that the organization is able to achieve the expected
results". The view of Woordruffe and Woodruffe in (Hutapea & Nurianna Thoha, 2008)
which distinguishes competence and competence. Competence is defined as a
work-related concept, which denotes "areas of work where people can become
competent or superior". Ccompetency is a basic
concept that deals with people, namely showing "behavioral demensi that underlies superior achievement
(competent)".
The
opinions of the above experts basically show that competence is an individual's
ability or excellence that is relevant to the demands of the job or achieves a
standard of performance and in accordance with the results expected by
organizations that have supervision of the implementation of education,
especially primary education in accordance with the focus of this research.
The
competence of the apparatus is revealed from the physical condition as well as
intellectual capacity, the quality of mental attitude and social capability of
a person in carrying out his work. This is a dynamic condition of human
resources in the sense that human resources include certain concepts.
These
assumptions and assumptions may be true and may also not be true, as this is
untested. Therefore, researchers are encouraged to carry out a study to
actualize the assumption with the title of the study, namely: "The Influence
of Competence of Apparatus and Information Systems on The Political
Participation of The Community in the Election of the Head of the Covid-19
Pandemic Era in Karawang Regency".
Method
This
research method is used combined research approaches (mixed methods), namely
quantitative research approaches and qualitative research (Yusuf, 2016).
View of. This view began as a counter movement towards positivist traditions in
the late 19th century through writers Dilthey, Weber,
and Kant.
Sequential
Explanatorical Research Models show that qualitative
analysis is used to explain the results of quantitative analysis. Regarding the
application of this model, (Gunawan, 2013)
explained:
"Inquantitative research, researchers ask questions that try
to confirm their hypothesis or research question, focusing on
assessing/measuring relationships or interrelationships between variables or
testing treatment variables. This question or hypothesis is measured using an
instrument, 80 observations or a document that generates number data. This data
is in turn analyzed descriptively or inferentially in order to provide
achievements that can be generalized to the population.�.
With
the explanation of sequential explanatorical research
model shown by Tashakkori & Teddlie, quantitative
analysis and qualitative analysis are combined into a unified analysis. The
blend of quantitative and qualitative analysis is intended to complement and
reinforce each other between the two analytical approaches.
The
application of combining two research approaches was implemented with the
following examples described by (Mertens, 2011). (Creswell, 1999)
described a "classic example" of the dominant-les dominat
design (QUAN+qual). In his example, an experiment
(QUAN) in conducted in which a theory is tested and, during data colection, a short qualitative interview (qual) also
occurs. While the information from the interview is useful, it is but a small
component of the overall theory-driven experimental design. Creswell concludes
that advantage of this approach is that is "present a consistent paradigm
picture.... and still gathers limited information to probe in detail one aspect
of the study�
(Meleong, 2017).
Research
performance that combines quantitative research and qualitative research is
developed with research performance design, as follows:

Figure 1 �Research
Performance Design
Source: processed by Researchers, 2021
Combined
Application of Quantitative Research and Qualitative Research
The combined
technical design of quantitative research and qualitative research is the
following Quantitative Research is carried out with the
following research technical planning. Population and Research Sample. The population and sample of research that are the primary sources of quantitative
data.
The
population in this study is the human resources involved in the implementation
of regional head elections in the era of the Covid-19 pandemic.
The details of the
number are the following:
A.
Overview of Research
1.
Geographic
Karawang Regency is one of the regions in West Java
Province located at coordinates 107002‟-170040 ‟ longitude Timu and 5 56‟�60 34‟ south latitude. Karawang Regency has an area of 1,753.27 Km2 or 175,327 Ha
with the following territorial boundaries:
a
�The East borders Subang
Regency;
b
�The South borders Bogor and Cianjur regencies;
c
�The West side borders bekasi
regency; and
d
�The north is bordered by the Java Sea.
2.
Demografis
Based on data from
the Central Bureau of Statistics karawang regency
(2021) �that in 2020 the population of Karawang Regency amounted to 2,370,488 persons as presented
in table 2.
Table 2
Population by District
In Karawang
Regency in 2020
|
No |
Kecamatan |
Jenis Kelamin |
Jumlah |
|
|
Laki-Laki |
Perempuan |
|||
|
(1) |
(2) |
(3) |
(4) |
(5) |
|
1 |
Banyusari |
28.888 |
27.945 |
56.833 |
|
2 |
Batujaya |
41.954 |
41.990 |
83.944 |
|
3 |
Ciampel |
21.611 |
22.229 |
43.840 |
|
4 |
Cibuaya |
27.725 |
26.486 |
54.211 |
|
5 |
Cikampek |
60.830 |
58.400 |
119.230 |
|
6 |
Cilamaya Kulon |
34.210 |
32.387 |
66.597 |
|
7 |
Cilamaya Wetan |
43.242 |
40.662 |
83.904 |
|
8 |
Cilebar |
22.713 |
21.201 |
43.914 |
|
9 |
Jatisari |
40.884 |
39.334 |
80.219 |
|
10 |
Jayakerta |
34.608 |
32.150 |
66.758 |
|
11 |
Karawang Barat |
88.385 |
84.825 |
173.210 |
|
12 |
Karawang Timur |
68.168 |
63.278 |
131.446 |
|
13 |
Klari |
87.521 |
85.547 |
173.068 |
|
14 |
Kotabaru |
68.083 |
65.284 |
133.367 |
|
15 |
Kutawaluya |
31.100 |
28.764 |
59.864 |
|
16 |
Lemahabang |
34.621 |
33.067 |
67.688 |
|
17 |
Majalaya |
25.106 |
23.930 |
49.036 |
|
18 |
Pakisjaya |
20.413 |
20.328 |
40.741 |
|
19 |
Pangkalan |
19.832 |
19.437 |
39.269 |
|
20 |
Pedes |
40.241 |
37.927 |
78.168 |
|
21 |
Purwasari |
35.557 |
34.942 |
70.499 |
|
22 |
Rawamerta |
27.865 |
26.340 |
54.205 |
|
23 |
Rengasdengklok |
59.487 |
56.927 |
116.414 |
|
24 |
Tegalwaru |
34.530 |
32.491 |
67.021 |
|
25 |
Telagasari |
19.515 |
18.534 |
38.049 |
|
26 |
Telukjambe Barat |
28.002 |
26.364 |
54.366 |
|
27 |
Telukjambe Timur |
74.046 |
66.983 |
141.029 |
|
28 |
Tempuran |
33.589 |
31.701 |
65.290 |
|
29 |
Tirtajaya |
35.221 |
33.761 |
68.982 |
|
30 |
Tirtamulya |
25.056 |
24.270 |
49.326 |
|
Kabupaten Karawang |
1.213.004 |
1.157.484 |
2.370.488 |
|
Karawang Regency in 2020 amounted to 2,370,488 people consisting of 1,213,004 men and 1,157,484
women. The district with the largest population is West Karawang
District with a population of 173,210 people while the district with the least
population is Telagasari District as many as 38,049
people.
3. Community Education
Known that in 2020
the residents of Karawang Regency who are attending
Kindergarten education as many as 14,686 students, who are attending Elementary
School education as many as 236,839 students, and who are attending Junior High
School education as many as 87,731 students. Karawang
Regency Pure Participation Figures in the period 2016-2020 generally show an
increase despite the decrease in certain years as outlined in table� 3� below:
Tabel 3
|
No |
Jenjang Pendidikan |
Angka Partisipasi Murni (%) |
||||
|
2016 |
2017 |
2018 |
2019 |
2020 |
||
|
1 |
Taman Kanak-Kanak |
- |
- |
- |
97,99 |
98,51 |
|
2 |
Sekolah Dasar |
97,72 |
98,15 |
98,05 |
97,99 |
97,99 |
|
3 |
Sekolah Menengah Pertama |
76,69 |
80,82 |
80,19 |
79,88 |
82,70 |
Sumber: diolah berdasarkan data dari Badan Pusat Statistik, 2021
Based on table 3�
showed that in general in the period 2016 to 2020 the
participation rate purely in primary education level increased. At kindergarten
education in 2019 was 97.99% (ninety-seven commas
ninety-nine percent) rose to 98.51% (ninety-eight commas fifty-one percent) in
2020, an increase of 0.52% (zero comma fifty-two percent). At the elementary
school education level in 2016 the pure participation rate was 93.72%
(ninety-three commas seventy-two percent) rose to
97.99% (ninety-seven commas Ninety-nine percent) in 2020, an increase of 0.27%
(zero comma twenty-seven percent). At the level of junior high school education
in 2016 was 76.69% (seventy-six commas sixty-nine
percent) rose to 82.70% (eighty-two commas seventy percent) in 2020, an
increase of 6.01% (six zero one-one commas).
4.
�conomie r�gionale
Karawang regency is a city that is experiencing rapid economic growth. In 2020,
gross regional domestic product on the basis of prevailing prices amounted to Rp225.06
Trillion or Rp94.94 Million Per capita. The three
businesses that contribute greatly to gross regional domestic product over
prevailing price dasrs are the processing industry by
70.05% (seventy zero commas five percent), large trade
and retail (car and motorcycle refits) by 9.83% (nine commas eighty-three
percent), and fisheries forestry agriculture by 4.34% (emapt
comma thirty-four percent). While gross regional domestic product on the basis
of constant prices of Rp 157.85 Trillion or Rp66.59
Million Per capita with business fields with the highest growth rate is
information and communication of 39.34% (thirty-nine commas thirty-four
percent), procurement of waste management water fiveh
and recycling by 16.48% (sixteen commasforty-eight.
percent), and educational services by 7.76% (seven commas
seventy-six percent) (Central Bureau of Statistics, 2021). Over the past 5
(five) years, in general, the economic growth of Karawang
Regency has decreased as outlined in table 4
Table 4
|
No |
Tahun |
Tingkat Pertumbuhan Ekonomi (%) |
|
1 |
2016 |
6,55 |
|
2 |
2017 |
5,13 |
|
3 |
2018 |
6,07 |
|
4 |
2019 |
4,06 |
|
5 |
2020 |
-3,59 |
Source: Processed based on data from the Central Statistics Agency, 2021
Based on table 4 it is known that the economic growth rate of Karawang Regency in general has decreased. In 2016, the
economic growth rate reached 6.55 percent and continued to decline until 2020
by -3.59 percent. The decline in economic growth in 2020 is more influenced by
the Covid-19 pandemic.
B. DISCUSSION
Based on the results of research measurements as expressed in this research
method is used quantitative data analysis with Structural Equation Model (SEM).
The results of SEM analysis with closed questionnaires are divided into 3,
namely: Recapitulation of Overall Model Fit Test Results, Structural Model Fit
Measurement Results, and Hypothesis Testing. The results of the Model Overall
Match Test serve to show the degree of match between the data and the model.
Structural Model Measurement and Hypothesis Testing serve to show the
significance and magnitude of the influence of exogenous latent variables on
endogenous latent variables. As for the results of the SEM analysis as follows:
1. Recapitulation of Model Overall Match Test Results
In this study, researchers used Structural Equation Modeling (SEM) with the
LISREL program where this method was used to jointly test models of independent
variables and dependent variables. Independent variables include: Competence of
Apparatus and Information Systems, while dependent variables are: Community
Political Participation in the Implementation of Regional Head Elections of the
Covid-19 Pandemic Era.�
Data processing uses a 2 (two) stage (two-step approach) approach that
includes the measurement of Confirmatory Factor Analysis (CFA) in the first
stage, and the Second Order CFA in the second stage. The first stage CFA
measurement obtained the results of printed output and path diagram. The
analysis begins by examining the measurement results to ensure that no values
exceed the acceptable limit (offending estimates). The values are referred to
as follows:
a. ��Offending
estimates, especially negative error variances known as heywod
cases. If the error variant value is negative then the error variant needs to
be set to 0.005 or 0.0
b. ��The standard
loading factor is greater than 1.
c. Standard errors related to the estimated coefficients
have a large value.
Then after not finding any offending estimates from the results of the CFA
measurement estimate, further testing can be done. The results of the
measurement model directly all latent variables and existing indicators using
the Confirmatory Factor Analysis (CFA) model obtained a path diagram that has
been standardized (standardize). Then the results of the measurement model
directly all latent variables and existing indicators using the Confirmatory
Factor Analysis (CFA) model obtained a path diagram (path diagram) with T_Value.
1. Goodness of Fit Match Test Results
The next stage is to analyze the results of the data match test with the
overall model using a LISREL called The Degree of Fit or Goodness of Fit (GOF).
The results of the overall test model are the influence of Competence of
Apparatus and Information System on Community Political Participation in the
Implementation of Regional Head Elections of the Covid-19 Pandemic Era.
2. Results of Research Variable Validity Test
The results of the validity and reliability test in the SEM Lisrel model are obtained from the first stage of
Confirmatory Factor Analysis (CFA). This stage of variables are
observed or indicators on each latent variable that must meet the requirements
of validity and reliability first. After the entire test is qualified, the
second stage is carried out, namely the Second Order CFA (2nd CFA). As for the
results obtained in the form of path diagrams and printed output. The results
of the path diagram include standardized solutions that show loading factors,
error variance values that show error measurement parameters obtained t-value
results, and t-values that show significance.
Based on the results of the processing showed that the results of CFA
standardized solution and t-value estimates conducted tests for the validity of
the competence variables of the Apparatus, Information Systems, and Community
Political Participation in the Implementation of regional head elections of the
Covid-19 Pandemic Era.
3. Results of Research Variable Reliability Test
Based on the results of the processing showed the results of CFA
standardized solution and t-value estimates conducted testing of the validity
of the Competence of Apparatus, Information Systems, and Community Political
Participation in the Implementation of elections for regional heads of the
Covid-19 Pandemic Era.
Based on the results of the processing showed the results of CFA
standardized solution and t-value estimates conducted testing of the validity
of the Competence of Apparatus, Information Systems, and Community Political
Participation in the Implementation of elections for regional heads of the
Covid-19 Pandemic Era.
4. Structural Model Testing Results and Hypothesis Testing
Departing from the results of the equation of measuring the competence of
apparatus and information systems as exogenous variables as well as latent
variables endogenous Political Paritispasi Community
in the Implementation of Regional Head Election Era Covid-19 pandemic in Karawang Regency in 2020. Measurement of structural
equations that show the magnitude of the effect of exogenous latent variables
on endogenous latent variables. The results of structural model measurement and
hypothesis testing refer to the 2 (two) hypothesis statements submitted in this
study.
5. Structural Model Testing Results
The results of simultaneous structural model measurements of The Competence
of Apparatus and Information Systems affect the Participation of Community
Political Parties in the Implementation of Regional Head Elections of the
Covid-19 Pandemic Era based on standardized solutions as follows. :


Figure 4 Structural Model Of The Influence of
Competence of Apparatus and Information System on Community Political
Participation in the Implementation of Regional Head Elections of the Covid-19
Pandemic Era in Karawang Regency in 2020 Based on
Standardized Solution
Source: Lisrel Output processed
by researchers, 2021
Based on figure 4 shows that 5 (five) dimensions of the
study of Apparatus Competence (X1) namely: Motives (KA1), Traits (KA2), Self Concept (KA3), Knowledge (KA4), and Skills (KA5)
contributed to the process of shaping the large influence of Community
Political Participation in the Implementation of the Covid-19 Pandemic Era
Regional Election in Karawang Regency in 2020. Then
the dimensions of the study that contributed to the process of forming the
influence of Community Political Participation in the Implementation of
regional elections of regional heads of the Covid-19 Pandemic Era (Y) were
shown by 7 (seven) dimensions, namely: Social and Economic Status (PP1),
Situation (PP2), Political Affiliation of Parents (PP3), Organizational
Experience (PP4), Political Awareness (PP5), Trust in Government (PP6), and
Participation Stimulants (PP7).
Then 3 (three) dimensions of Information Systems (X2)
study which includes: Human Resources (SI1), Technology (SI2), and Relations
(TI3) contributed to the process of shaping the large influence of Community
Political Participation in the Implementation of Regional Head Elections of the
Covid-19 Pandemic Era in Karawang Regency in 2020.
Then the dimensions of the study that contributed to the process of forming the
influence of Community Political Participation in the Implementation of
regional head elections of the Covid-19 Pandemic Era (Y) were shown by 7
(seven) dimensions that included: Social and Economic Status (PP1), Situation
(PP2), Parental Political Affiliation (PP3), Organizational Experience (PP4),
Political Awareness (PP5), Trust in Government (PP6), and Participation
Stimulant (PP7).
Hypothesis Testing Results
Based on the results of testing structural equations of the influence of
Apparatus competence and Information System on Community Political
Participation in the Implementation of Regional Head Elections of the Covid-19
Pandemic Era that have been conducted simultaneously obtained the results of
determinant coefficients (R-Square). The results of the hypothesis test showed
that simultaneously the influence of Apparatus Competence on Community
Political Participation in the Implementation of regional head elections of the
Covid-19 Pandemic Era obtained a t-value of 1.01 (with a confidence level of
95%) and as a cut of the required value of 1.96 (t-value value 1.96)
then showed that the Competence of the Apparatus had no positive and
significant effect on The Political Participation of Mayarakat
in the Implementation of Elections.�
General Head of The Covid-19 Pandemic Era. The magnitude of the
influence is seen from the results of the measurement of the path coefficient
(path) of 0.24.
Then the influence of the Information System on Public
Political Participation in the Implementation of Regional Head Elections of the
Covid-19 Pandemic Era obtained a t-value of 2.78 (with a confidence level of
95%) and as a cut of the required value of 1.96 (t-value value 1.96)
then shows that the Information System has a positive and significant effect on
The Political Participation of the Community in the Implementation of regional
head elections of the Covid-19 Pandemic Era. The magnitude of the influence is
seen from the results of the measurement of the path coefficient (path) of
0.67.
Based on both path coefficients show that the path coefficient has a strong
influence (significant) and there is a meaningful causality relationship,
namely between the Information System and The Political Participation of the
Community in the Implementation of regional head elections in the Covid-19
Pandemic Era. While the influence is less significant and less established a
meaningful causality relationship, namely between the Competence of the
Apparatus and the Political Participation of the Community in the
Implementation of the Regional Head Election of the Covid-19 Pandemic Era in Karawang Regency in 2020.
Results of Variable Measurement Model of Community Political Participation
in the Implementation of Regional Head Elections era Covid-19 Pandemic
Table 4
Estimated Coefficient of Validity and Measurement Model
Latent Endogenous Variables of Community Political Participation in the
Implementation of Regional Head Elections era Covid-19 Pandemic in Karawang Regency in 2020
|
No |
Dimensi |
Loading Factors >50 |
t-value |
cut-off
value |
Keputusan |
|
1 |
Status Sosial dan Ekonomi |
0,62 |
0,00 |
1,96 |
Valid
dan tidak signifikan |
|
2 |
Situasi |
0,78 |
10,36 |
1,96 |
Valid
dan signifikan |
|
3 |
Afiliasi Politik Orang Tua |
0,75 |
10,11 |
1,96 |
Valid
dan signifikan |
|
4 |
Pengalaman Organisasi |
0,86 |
11,13 |
1,96 |
Valid
dan signifikan |
|
5 |
Kesadaran Politik |
0,77 |
10,24 |
1,96 |
Valid dan signifikan |
|
6 |
Kepercayaan Kepada Pemerintah |
0,82 |
10,74 |
1,96 |
Valid dan signifikan |
|
7 |
Perangsang Partisipasi |
0,77 |
10,24 |
1,96 |
Valid dan signifikan |
Source:
Researcher-processed Lisrel Output, 2021
Based on data from table 4 it is known that the value of loading factors
each has a strong correlation to the latent variable construct of endogenous
Political Participation of The Community in the Implementation of Regional Head
Elections era Covid-19 Pandemic. Further examination of the overall factors,
namely: (1) economic status, (2) situation, (3) political affiliation of
parents, (4) organizational experience, (5) political awareness, (6) trust in
government, and (7) participation stimulants, it has been revealed that 7
factors have provided valid and significant loading factors on the endogenous
latent variable. The validity is known from the loading factors that indicate
that the factors covered by the endogenous latent variable have a statistically
significant relationship to the construct, as they have a loading factor value
greater than the required 0.50 value. This significance is derived from the
value of t-Values on each dimension greater than the cut-off Value (1.96). Thus it can be stated that the manifest variables that make
up the weight of each factor can be declared valid and significant.�
Structural Model Testing And Hypothesis Testing
Based on the equation of measurement and testing of each hypothesis the
influence of Apparatus competence and information systems on public political
participation in the implementation of the Covid-19 Pandemic Era Regional Head
Election obtained the result of the determinant coefficient (R-Square) the
largest is a determinant coefficient of 76% with simultaneous techniques.
Furthermore, the results of these measurements and tests are used for
hypothesis testing.
The results of structural measurements and path coefficients in hypothesis
testing show that both exogenous latent variables influence endogenous latent
variables. The results of structural measurements obtained the results of
hypothesis testing with a t-value for the Apparatus Competency variable of 1.01
and information system variables of 2.78. The results of hypothesis testing
obtained t-value with a confidence level of 95% and a required cut of value of
1.96 (t-value value 1.96) then showed that the exogenous latent
variable had a positive and significant effect on The Political Participation
of the Community in the Implementation of the Covid-19 Pandemic Era Regional
Head Election. Thus the hypothesis of the influence of
Apparatus Competence has a positive and significant effect on The Political
Participation of the Community in the Implementation of regional elections of
the Covid-19 Pandemic Era in Karawang Regency is
"Rejected". Then, the hypothesis of the influence of Information
Systems has a positive and significant effect on Public Political Participation
in the Implementation of the Covid-19 Pandemic Era Regional Election in Karawang Regency is "Accepted".
Then the magnitude of
influence is also seen from the results of the measurement of the path
coefficient (path) for the Apparatus Competency variable has a value of 0.24
and the Information System variable has a value of 0.67. Both variable path
coefficients have a determinant influence (R-Square) contribution to Community
Political Participation in the Implementation of regional head elections of the
Covid-19 Pandemic Era by 0.76 or 76%. Thus, both variables can be declared to
have a strong relationship to the increase in Public Political Participation in
the Implementation of Regional Head Elections in the Covid-19 Pandemic Era.
This shows that with the increase in these two variables, there is
simultaneously an increase in Community Political Participation in the Implementation
of Regional Head Elections of the Covid-19 Pandemic Era in Karawang
Regency. Simultaneous and mutual improvement has established a meaningful
causality relationship of 76%.
Conclusion
Based on the purpose of
the study, the relationship of influence between independent variables (causes)
and dependent variables (consequences) then based on the results of research
and discussions analyzed using quantitative analysis obtained conclusions of
causality relationships between independent variables and dependent variables.
In addition to the conclusion of causality relationships between variables,
also obtained answers to hypotheses in the study as follows
There is a positive and
insignificant influence between the Competence of the Apparatus and the
Political Participation of the Community in the Implementation of the Covid19
Pandemic Era Regional Election in Karawang Regency in
2020 which is indicated from the T-Value value of 1.01 smaller than the
required 1.96. The first hypothesis in this study is �"Rejected."
The existence of these influences shows that between the Competence of the
Apparatus and the Political Participation of the Community in the
Implementation of Regional Head Elections of the Covid-19 Pandemic Era there is
a less meaningful causality relationship. That is, if there is an increase in
the competence of the apparatus then the increase is stimulantally
less followed by 176 increases with Public Political Participation in the
Conduct of Elections General Head of The Covid19 Pandemic Era. Thus it can be stated that the Competence of the Apparatus
is one of the less decisive factors with the Political Participation of the
Community in the Implementation of the Covid-19 Pandemic Era Regional Election
in Karawang Regency.
There is a positive and
significant influence between the Information System and the Political
Participation of the Community in the Implementation of the Covid-19 Pandemic
Era Regional Election in Karawang Regency which is
indicated from the T-Value of 2.78 greater than the required 1.96. Thus the Second Hypothesis in this study is
"accepted". The existence of these influences shows that between the
Information System and the Political Participation of the Community in the
Implementation of Regional Head Elections of the Covid-19 Pandemic Era, there
is a meaningful causality relationship. That is, if there is an increase in
information systems, the increase is stimulants followed by increased Public
Political Participation in the Implementation of Pandemic-Era Regional Head
Elections Covid-19. Thus it can be stated that the
Information System is one of the factors that determine the Participation of
177 Political Communities in the Implementation of the Covid-19 Pandemic Era
Regional Election in Karawang Regency.
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