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Journal Of Economics, Technology, and Business (JETBIS)
Volume 3, Number 1 January 2024
p-ISSN 2964-903X; e-ISSN 2962-9330
THE INFLUENCE OF OPERATIONAL MANAGEMENT ON THE
PERFORMANCE OF BATTERY DISTRIBUTION COMPANIES AT PT. ABADI
SAKTI MITRA MANDIRI
Ahmad Fadhilah Wibowo
1
, Hepiana Patmarina
2
Universitas Bandar Lampung, Indonesia
Email: fadhelwibowo09@gmail.com
1
2
KEYWORDS:
Company Performance,
Operational Management,
Distribution Company, and
Data Analysis.
ABSTRACT
The purpose of this study was to find the effect of operational
management on company performance. Operations management is
the strategic management of resources to maximize the efficiency and
effectiveness of the transformation process, resulting in outputs that
produce greater benefits than inputs. Company performance is a level
to get results in achieving company goals. The results of this work are
concrete, observable, and measurable. The results of this work are
concrete, observable, and measurable. This study uses quantitative
methods with data processing and analysis to conclude in the form of
numeric data (numbers) which will obtain results from the
relationship between variables. Multiple linear regression tests,
reliability and validity tests, hypothesis testing (partial T-test) and
(simultaneous F-test), and the coefficient of determination. In the
research conducted, the sample used was 35 people in the company.
The results of this study are linear regression analysis states that the
Operational Management Variable has a positive and significant
effect on Company Performance at PT Abadi Sakti Mitra Mandiri,
with a regression coefficient of 0.968. That way the questionnaire as
an instrument is declared feasible.
INTRODUCTION
In the development of an organization or company system, there is operational
management that regulates the way of working, management, and execution. A systematic set
of routine activities is required for large-scale businesses (Herjanto, 2007). The sequence of
activities must be adjusted to the operational procedures of the organization until completion.
This action is referred to as operations (Lavidya et al., 2023). A company must prioritize the
management of its operational activities, because this has a direct impact on the efficient use
of human resources, including the production and marketing processes. One of the
components that can launch a production to marketing is the existence of an operational
system. According to (Stevenson, 2018:4) states that in an industry, operational management
refers to a system or set of procedures for providing products or services.
Bandar Lampung City is the city with the most vehicle users in Lampung Province with
a percentage of 23.82% (979,003) vehicles from the total number of all vehicles in Bandar
Lampung, namely 4,108,594 (Lampung Police Data, 2023). The data is a great opportunity
for vehicle battery distribution companies to look at the number of vehicle users in Bandar
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Lampung. Accumulators, sometimes referred to as batteries or batteries, are a type of battery
commonly used in motorized vehicles (Jamroen, 2022). An equipment with chemical
processes for storage, reception, and emission of electrical energy. One component of a
motorized vehicle is a battery, using a motorized vehicle battery. The function of the battery
in a motorized vehicle is to provide electric power for the vehicle. Along with starting the car
engine, the battery powers many electronic components, including fans and lights (Handoyo
et al., 2023).
High quality products and services have the potential to boost sales. In addition,
fostering client happiness is an important achievement for any company, as it is essential in
achieving success. As such, it is important for companies to build and nurture strong
relationships with their customers. In fostering the effectiveness of customer relationships,
companies will generally continue to give their best to meet consumer demands. If businesses
can consistently offer customers competitive prices, the highest quality goods, and the best
customer service, coupled with increased interest and pleasure, these relationships will last
and even get better (Bukhori & Raharja, 2012). The purpose of the study is to find the effect
of operations on the performance of distribution companies, by looking at the effectiveness
and efficiency of operations on the companies studied (Truong et al., 2017).
The phenomenon that occurs in the company under study is the delay in the distribution
of goods to consumers and the company's profitability fluctuates. Therefore, researchers are
interested in taking the research title "The Influence of Operational Management on the
Performance of Battery Distribution Companies at Pt. Abadi Sakti Mitra Mandiri" (de Leeuw
& van den Berg, 2011).
The contributions in this study are: It is hoped that from the results of the research that
has been carried out, researchers can provide various information that is constructive,
consideration and even as a reference for decision making in companies that are useful in
improving company performance even better.
RESEARCH METHODS
The research location was Sukabumi Indah, Bandar Lampung. Quantitative research
involves the systematic examination and analysis of the author's specific research type to obtain
findings. This means that this research focuses on analyzing numerical data processed by this
research methodology, and will result in a considerable correlation between the variables
studied.
Population refers to all elements in a study, which includes objects and people who have
certain characteristics. The population essentially includes all individuals in a certain location
who are included in a group of people, animals, events, or objects that are studied to obtain
definite findings (Amin et al., 2023). The sample size of this study consisted of 35 people,
especially employees.
A sample is a portion of the population that serves as the main data source in a study.
Simply put, the sample is a representative of the population (Amin et al., 2023) according to
the Pelita Bangsa Cikarang Campus library. We used saturated sampling to select the sample
for this study. Saturated sampling is a sampling method that accurately represents the entire
population. This sample is generally used when the population is considered small, which is
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less than 100 people (Sugiyono, 2016), as shown by the Pelita Bangsa Cikarang Campus
library. The respondents amounted to 35 personnel currently working at PT Abadi Sakti Mitra
Mandiri.
The data obtained from the research findings will be analyzed through two specific
explanations:
a. Validity Test
The validity test is passed by researchers to evaluate the accuracy of a research
instrument to indicate the intended concept. To determine the validity of an item, it is
necessary to compare the item's score with the overall item score. Any item that does not
meet the conditions will be excluded from further analysis.
b. Quantitative Descriptive Analysis
Researchers use descriptive statistics to test and present quantitative data to understand
the attributes of the company being investigated as a research sample. Quantitative
descriptive research aims to provide a detailed and precise description, analysis, and
explanation of a phenomenon under investigation, based on numerical data that can be
observed (Sulistyawati et al., 2022).
c. Hypothesis Test
The purpose of this journal is to determine whether the independent variables, namely
production control and quality control, have a significant effect on the dependent variable,
namely product quality. This effect will be examined both individually and collectively. In
hypothesis testing there are 2 parts in it, namely:
d. F-test
Simultaneous test (f test) is a test that sees whether there is an influence among the
independent variables together on the dependent variable. Or to test whether the regression
model under study produces a good / significant value or is not good / non-significant.
e. T-test
The t test is one of the statistical tests to measure the average difference (mean) in two
groups of data and how they are related.
f. Multiple Linear Regression Test
Multiple regression is utilized when there is one dependent variable and two or more
independent variables. The analytical model utilized is multiple linear regression.
RESULTS AND DISCUSSION
PT Abadi Sakti Mitra Mandiri Bandar Lampung is a company that participates in the
distribution and procurement of batteries for various purposes, including automotive,
motorcycle, and vehicle batteries (Raouf Mohamed et al., 2021). The company is headquartered
in Bandar Lampung, Lampung, Indonesia. PT Abadi Sakti Mitra Mandiri Bandar Lampung has
accumulated significant expertise in the battery industry since its in the battery industry in
Indonesia since its establishment in 1984. The company began its operations by providing
batteries specifically designed for automotive applications. PT Abadi Sakti Mitra Mandiri
Bandar Lampung always innovates to meet technological developments and market demands,
offering technological developments and market demands, offering satisfactory products and
services to its clients. for its clients. Currently, the organization offers a wide array of types of
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batteries sourced exclusively from well-known brands, including Yuasa Batteries. Multiple
regression is utilized when there is one dependent variable and two or more independent
variables.
The company is dedicated to providing exceptional service and the best products to
clients, with a strong emphasis on meeting customer demands and ensuring their pleasure as a
top priority. PT Abadi Sakti Mitra Mandiri Bandarlampung has obtained several awards and
certifications, including ISO 9001:2015 and ISO 14001:2015 certifications. The company is
dedicated to environmental preservation through the use of ecologically conscious business
practices.
Validity Test Results
The validity test is a test used to show the extent to which the measuring instrument used
in a measurement measures what is measured. The number of degrees of freedom (df) is 33
(35-2). The results of the r-table show the Correlated Item-Total Correlation of 0.307.
Assuming a positive value and rcount>r-table, it means that an item or indication is considered
valid.
Table 1
Validity Test
Variabel
Indikator
R
hitung
Sig
R
tabel
Keterangan
Manajemen
Operasional
( X1 )
X1.1
.549
**
.000
0,307
VALlD
X1.2
.508
**
.000
0,307
VALlD
X1.3
.494
**
.000
0,307
VALlD
X1.4
.509
**
.000
0,307
VALlD
X1.5
.680
**
.000
0,307
VALlD
X1.6
.522
**
.000
0,307
VALlD
X1.7
.482
**
.000
0,307
VALlD
X1.8
.479
**
.000
0,307
VALlD
X1.9
.541
**
.000
0,307
VALlD
X1.10
.489
**
.000
0,307
VALlD
Kinerja
Perusahaan
(Y)
Y1.1
.635
**
.000
0,307
VALlD
Y1.2
.710
**
.000
0,307
VALlD
Y1.3
.619
**
.000
0,307
VALlD
Y1.4
.654
**
.000
0,307
VALlD
Y1.5
.677
**
.000
0,307
VALlD
Y1.6
.425
**
.000
0,307
VALlD
Y1.7
.629
**
.000
0,307
VALlD
Y1.8
.491
**
.000
0,307
VALlD
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Source: SPSS 22, 2023
From the table above, it can be concluded that the overall value of Rhitung (Corrected
Item Total Correlation) exceeds the r table value of 0.307. In addition, the significance of each
variable is less than 0.01. That way, the conclusion is that all questionnaire indicators on
variables X and Y are all declared valid and suitable for use as indicators of all variables.
Table 2
Reliability Test
Variable
Cronbach’s Alpha
Critical Value
Information
Operations Management (X1)
,675
> 0,60
Reliabel
Company Performance (Y)
,747
> 0,60
Reliabel
Source: SPSS Data Processing 22, 2023
Reliability aims to determine whether the related instruments can be used to collect data.
Reliability is defined as the extent to which the Cronbach's Alpha (α) value exceeds 0.6. The
findings of the results are as shown in the table above, From the reliability testing table, the
Cronbach's alpha value of each variable exceeds 0.60, this shows that the instrument used in
this study is very reliable. After testing the validity and reliability of variables X and Y, it is
concluded that the questionnaire is suitable for use as an instrument in this study.
Table 3
Multiple Linear Regression Test
Coefficients
a
Model
Unstandardized Coefficients
Standardized
Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
5.722
4.491
1.274
.212
Manajemen
Operasional
.968
.125
.804
7.764
.000
a. Dependent Variable: Kinerja Perusahaan
By using this test, one can estimate how far the independent variable (free) can affect the
dependent variable (bound). The independent variable refers to Operational Management (X1),
while Company Performance (Y) is the dependent. Here researchers used SPSS version 22.00
to handle the data, and the findings are in the attached summary.
The regression equation that can be formulated is :
Y = 5.722 + 0,968X + e
The explanation of the equation is :
a. The constant value of 5.722 states that if the Operational Management Variable (X) has a
value of 0, then the Company Performance has a value of 5.722.
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b. The Operational Management variable (X) has a positive impact on Company Performance
(Y) and has a regression coefficient of 0.968, which means that if one unit of X increases,
then Y increases by 0.968 units.
Table 4
Coefficient of Determination
Model Summary
Model
R
R Square
Adjusted R
Square
Std. Error of
the Estimate
1
.804
a
.646
.636
1.531
a. Predictors: (Constant), Operational Management
The calculation of the coefficient of determination states the customized R square value
of 0.636 or equivalent to 63.6%. Based on the findings obtained, operational management
variables have a significant effect on company performance by 63.6%, while the other 36.4%
is caused by other variables not analyzed by researchers.
Table 5
F test
ANOVA
a
Model
Sum of
Squares
df
Mean Square
F
Sig.
1
Regression
141.358
1
141.358
60.281
.000
b
Residual
77.385
33
2.345
Total
218.743
34
a. Dependent Variable: Kinerja Perusahaan
b. Predictors: (Constant), Manajemen Operasional
Operational Management is an independent variable that has the potential to influence
company performance, which is the dependent variable. The F test, also called the simultaneous
significance test, is designed to assess how well the factors can explain each other's behavior.
Therefore, the main purpose of the F test is to determine whether the regression on variables is
zero. The F value obtained from the table is 60.281, whose significance level is 0.000. The F-
count value of 60.281 exceeds the Ftable value of 2.17 indicating a significant difference whose
p-value of 0.000 is lower than the 0.1 threshold. Operational management variables have an
influence on the performance of PT Abadi Sakti Mitra Mandiri.
Tabel 6
Uji T
Coefficients
a
Model
Unstandardized Coefficients
Standardized
Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
5.722
4.491
1.274
.212
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Manajemen
Operasional
.968
.125
.804
7.764
.000
a. Dependent Variable: Kinerja Perusahaan
Can measure with the t test as which independent factor is more important in influencing
the dependent variable. If you want to see the correlation between variables, have a significant
relationship, you can do it separately using the t test. From the available table, it can be seen
that the independent variable or Operational Management has a significant effect on the
dependent variable Company Performance whose p-value is 0.000 <0.1 and the Thitung value
of 1.274> Ttable value. of 0.968. That way, the conclusion is that Operational Management
has a partially positive significance effect on Company Performance at PT Abadi Sakti Mitra
Mandiri.
Discussion
Linear regression analysis shows the significance level (Sig.) of variable X of 0.000 is
less than 0.005. Furthermore, based on the regression equation, the Operational Management
Variable (X) has a regression coefficient of 0.804. As a result, a one-unit increase in X will
result in an increase of 0.804 units in Y. Linear regression analysis justifies the T test results
(Sig. X1 of 0.000 <0.005), which states that the Operational Management Hypothesis has a
positive significance effect on company performance, thus supporting its acceptance. This is in
line with research conducted by Maat Pono with the title Effect of Environmental Dynamics,
Competitive Strategy and Operations Strategy on Company Performance. With the results of
all Independent variables having an influence on the Dependent variable.
The results of the regression analysis show a significant effect of X on the amount of Y.
Based on the F test table, the significance value is 0.000, which means the significance value
is less than 0.05. The independent variable shows a positive and significant effect partially on
the dependent variable (Y). This is in line with research conducted by Dian Puspita Novrianti
with the research title Standard Operating Procedures and Company Facilities on Employee
Performance. These results show that partially the standard operational procedure has a positive
and significant effect on employee performance, and company facilities have a positive but
insignificant effect on employee performance.
CONCLUSION
The discussion shows that the questionnaire instrument used shows a high level of
validity and reliability. The results of linear regression research state that operational
management variables have a statistically significant and positive effect on the performance of
PT Abadi Sakti Mitra Mandiri. The regression coefficient of this variable is 0.968. Thus, the
conclusion is that this questionnaire instrument is suitable for use in this study. Or it can be
concluded from the research conducted by researchers that the Operational Management
Variable has a positive and significant effect on Company Performance at PT Abadi Sakti Mitra
Mandiri. With a coefficient of determination of 0.804. This means that if one unit of X
increases, Y increases by 0.804 units. The regression analysis results that X has an effect on Y.
In the F Test table, it is stated that the sig value = 0.000, which means the significance value is
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<0.05. The independent variable partially has a positive significance effect on the dependent
variable (Y).
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