The Effect Of Supply Chain Management And Corporate Communication Skills On Production Performance At PT. Berlian Manyar Sejahtera

. The aim of this research is to determine the influence of Supply Chain Management and company communication capabilities on production performance at PT. Berlian Manyar Sejahtera.This research approach uses quantitative research using an explanatory survey research design. Data collection in this research used two techniques, namely: Through questionnaires, andDocumentation methodintended to complete the data.Data analysis methods are part of the analysis process with methods appropriate to the type of research after the research data collection stage.This research uses multiple linear regression analysis. The results of the research show that 1) There is an influence of supply chain management on production performance at PT. Berlian Manyar SejahteraThus it gets highersupply chain management, the higher the production performance at PT. Berlian Manyar Sejahtera. 2)There is an influence of company communication capabilities on production performance at PT. Berlian Manyar Sejahtera.Thus, it gets higherthe company's communication capabilities, the higher the production performance at PT. Berlian Manyar Sejahtera. 3) There is an influence of supply chain management and company communication capabilities together on production performance at PT. Berlian Manyar Sejahtera. Thus, the higher the company's supply chain management and communication capabilities, the higher the production performance at PT. Berlian Manyar Sejahtera.


INTRODUCTION
Companies today face rapid environmental changes and operate in increasingly competitive markets.This is indicated by the increasing number of companies emerging and providing the same products or services.Often, consumers have to be wiser and more critical in choosing the products or services they use in order to get maximum results.This condition will make competition even tighter, so that every company must start competing to provide the best service in order to satisfy its customers.This condition encourages company organizations to build integrated relationships with suppliers and customers in the company's supply chain management system (Lin, YH, & Tseng, 2016).In an era of increasingly tight business competition, it is very important for companies to increase their strategic competitiveness.Companies must be able to take advantage of several possible niches to become more competitive and productive so that they can improve company performance(Arawati, A., & Za'faran, 2011)With consumer needs increasing very quickly and several disruptions that can occur in the supply process, supply chain management is very necessary in adapting to the existing business environment.This will directly become a competitive advantage for the company (Thatte, 2013).Company performance is a benchmark indicator of a company's development.A competitive business focuses on how to increase value to consumers, namely providing products and services that are more valuable than competitors(Sukati, I., Abdul Hamid, AB, Baharun, R., Tat, HH, & Said, 2011).In order for a company to compete and develop, the company must have competitive advantage.his encourages companies to be able to compete on how to provide products to consumers but at low prices and products and services to the right place and at the right time.
Many companies also realize that it is not enough to increase efficiency within a company organization, they must make their entire supply chain more competitive and efficient.With consumer needs increasing very quickly and several disruptions that can occur in the supply process, supply chain management is very necessary in adapting to the existing business environment.This will directly become a competitive advantage for the company (Thatte, 2013).A factor that is no less important in creating company performance is the company's communication capabilities.(Tuan, NP, & Yoshi, 2010)in his research, to create a company's competitive advantage, individual resources are needed to work together to create integrated organizational capabilities.(Tuan, NP, & Yoshi, 2010)shows that the company's capabilities have a significant positive effect on competitive advantage, meaning that good company capabilities are able to increase the company's competitive advantage.Sukati, I., Abdul Hamid, AB, Baharun, R., Tat, HH, & Said (2011)AndThatte (2013).shows that supply chain management has a significant positive effect on (competitive advantage), meaning that good supply chain management practices can increase competitive advantage.MeanwhileSingh, R., Sandhu, H.S., Metri, B.A., & Kaur, (2010)shows that supply chain management practices have a significant negative effect on competitive advantage.Ueki (2013)in his research shows that supply chain management practices do not have a significant effect on competitive advantage, meaning that improving supply chain management practices does not affect competitive advantage.
Shukor et al., (2020) convey that supply chain agility is a strategic capability that allows companies to quickly respond and perceive uncertainty internally and externally through effective integration, agile companies can turn challenges into opportunities that can be exploited.Based on the research that has been carried out, the majority of research believes that supply chain factors and company capabilities cannot be denied as the main things that play a role in improving company performance, although there are still some researchers who have different opinions from the conclusions obtained from the research results.Most of this research was conducted on respondents from the manufacturing industry sector.One industry that is greatly influenced by supply chain factors is PT.Berlian Manyar Sejahtera.Industrial growth PT.The increasingly high level of Manyar Sejahtera diamonds has implications for the high level of competition between industries.Companies need to think about the right strategy to face increasingly fierce competition.The company's strategy in creating a good performance system requires proper planning using information technology.A good company must be realized immediately because of the rapid development of increasingly innovative and varied technology so that it can survive and be able to excel in the market and new threats from competitors.Based on the description above, it is very important to carry out research entitled "The Influence of Supply Chain Management and company communication capabilities on production performance at PT. Berlian Manyar Sejahtera".

II. METHODS
This research approach uses quantitative research using an explanatory survey research design.The survey method is used in accordance with the research objectives which want to generalize and provide explanations of the population through observing samples from a population through observation and using questionnaires as the main data collection tool.(Arikunto, 2017).Explanatory means providing explanations or things related to explaining, either explaining current events or circumstances, or explaining future events or circumstances.This research design, when linked to the research methodology paradigm, is explanatory research which aims to provide an explanation of the causal relationship between variables through hypothesis testing and aims to obtain appropriate tests in drawing causal conclusions (cause-effect) between two or more variables through hypothesis testing.(Sugiyono, 2018).Through empirical research, the hypothesis will be tested for truth.Population is the entire group of people, events, or things that are interesting to study (Sekaran, 2003).In determining the number of samples to be selected, because the population is unknown, sampling is carried out using the following formula: 0,20 n = 96.04Information : n : Sample Size Za/2: Standard value outside normal standard list how confidence level (a) 95% E: The level of determination used by stating the maximum error size of 20% Based on the calculation above, the number of samples used was 96.04 respondents.In order for this research to be more suitable, the sample was taken to be 100.So the number of samples that will be used in this research is 100 respondents.Data collection techniques are the most strategic steps used by researchers who aim to obtain data in research.This research requires clear and specific data (Sugiyono, 2018).Data collection in this research uses two techniques, namely: Through questionnaires, namely providing a list of written statements that respondents must choose according to their characteristics related toresearch variable.This documentation method is intended to obtain data based on existing data sources in the school.This documentation method is intended to complete the data.Data analysis methods are part of the analysis process with methods appropriate to the type of research after the research data collection stage.This research uses multiple linear regression analysis.

III.
RESULTS AND DISCUSSION 1.

Validity Test and Reliability Test Results
The results of the validity test are presented in the form of table 1 1 shows that of all the questions from each variable, all questions were declared valid, because the calculated r was greater than the r table.Next, a reliability test is carried out, which is one of the activities to test whether the data is correct or not so that it can be used to determine the quality of a research result.In this research, reliability is seen from the value of Cronbach's alpha, which must be greater than equal to 0.60, thus indicating that the data has adequate reliability.The results of the reliability tests for the three variables are presented in table 2 below: From the results of the questionnaire reliability test in table 4.8, it shows that the Cronbach's alpha data value was > 0.60.So it can be interpreted that of all the variables, namely all the variables are reliable.

Regression Prerequisite Test
Normality test to see whether the variable data being tested is normally distributed and suitable for statistical testing using the Kolomogorof-Smirnof test, the following conditions are obtained:Sig value < 0.05, data distribution is not normal.Sig value > 0.05, normal data distribution.Normality Test Results can be seen in table 4.9 as follows: Table 3 Based on the results of data analysis in the Appendix, it is known that the value of asymp.Sig (2tailed) from the Kolmogrof-Smirnov test on the Asymp value.Sig.(2-tailed) of 0.068 is greater than the α value of 0.05, so it can be concluded that the standardized residual value is stated to be normally distributed or the data is normally distributed.TestMulticollinearityis a method used to find out and detect whether or not there is a close linear relationship between the independent variables in the calculation.The multicollinearity test is as follows: Based on the table above, it can be seen that there are two parameters used to detect multicollinearity, namely the tolerance value and the VIF (Variance inflation factor) value, where the Tolerance value is > 0.10 and the VIF value must be VIF < 10.From the results of the calculation above, we get a tolerance value of > 0.1 where the value is > 0.1 and the VIF value is not less than 10.00, meaning that multicollinearity is not detected.The heteroscedasticity test is used to determine whether or not there is an indication of variance between inhomogeneous residuals which results in the estimated value obtained being no longer efficient.Heteroscedasticity occurs if there is a correlation coefficient for each independent variable that is significant at the 5% significance level.A good regression model is one where heteroscedasticity does not occur.There are several ways to detect the presence or absence of heteroscedasticity, one of which is by looking at the scatter plot.A good regression model is obtained if the residual scatter diagram does not form a particular pattern and if the data radiates around zero (on the Y axis).Apart from that, there is no particular pattern on the graph, such as converging in the middle, then narrowing and then widening and vice versa.  1 explains that the scattered data does not form a particular pattern and is spread around the zero point on the Y axis.This means that it can be concluded that the data to be studied meets the heteroscedasticity assumption.

Regression Analysis
Multiple linear regression is used to determine the magnitude of the difference between one variable and another variable with the following formula: Y = a1 + b1X1+ b2X2+e The results of the multiple linear test can be seen in the coefficients table as follows: Based on the results of the regression analysis obtained in table 4.11, the regression equation can be written as follows: Y = a1 + b1X1+ b2X2+ e Y = 1.089+ 0.251+ 0.726+0.958 From the regression equation above it can be interpreted as follows: 1) α = 1.089 shows that if the values of X1, 2) b1= 0.251 states that if X1 increases, then Y will increase by 0.251 assuming there is no increase in the constant value of X2. 3) b2= 0.726 states that if X2 increases, then Y will increase by 0.726 assuming there is no increase in the constant values of X1 and X2.

Determination Analysis (R2)
Multiple regression analysis is used to determine the influence between the independent variables consisting ofcompany communication capabilities, supply chain managementon the dependent variable, namelyproduction performance.From calculations using the SPSS 26.0 for Windows program, the regression results obtained are multiple regression coefficient values which as a whole appear in the table as follows:  6, it shows an R value of 0.929, which means that the correlation or relationship between the independent variables consisting of brand image and brand trust has a very strong relationship.The R Square value shows 0.864, this means that the influence of the independent variables consists ofsupply chain management and company communication capabilitieswith the dependent variableproduction performanceis 86.4% while the rest is influenced by other factors.

T test
The t statistical test basically shows how much influence an explanatory or independent variable individually has in explaining variations in the dependent variable.Based on the analysis, the following analysis results were obtained: From the data above, the following analysis results are obtained: First,Tcalculated resultssupply chain managementof 3,066 while ttable =1.66071, then the value of tcount > ttable.Meanwhile, the significance value of the variable is calculatedsupply chain managementof 0.003, meaning <0.05.Based on these results, H0 is rejected and Ha is accepted which is meaningfulThere is an influence of supply chain management on production performance at PT. Berlian Manyar Sejahtera.Second,Resultstcountcorporate communication capabilitiesof 9,618 while ttable =1.66071, then the value of tcount > ttable.Meanwhile, the significance value of the variable is calculatedcorporate communication capabilitiesof 0.000, meaning <0.05.Based on these results, H0 is rejected and Ha is accepted which is meaningfulThere is an influence of company communication capabilities on production performance at PT. Berlian Manyar Sejahtera.

F Test
To determine the influence of supply chain management and company communication capabilities together on production performance at PT. Berlian Manyar Sejahtera in its testing was carried out with the F Test.The F Test is intended to determine the influence of all variables X1 and Berlian Manyar Sejahtera using a comparison of Fcount and Ftable with a significance level of 5% and N 100, obtained Ftable is 3.09 using a confidence level of 95%, α = 5%, df2 (number of variables -1) or 3-1 = 1, and df 2 (nk-1) or 100-2-1 = 97 (n is the number of respondents and k is the number of independent variables).The results obtained from Ftable are3.09.Based on calculations with the help of the SPSS for Windows Versions 26.00 program, the following results were obtained:  8, it shows that based on the output above the Fcount and Ftable values, it can be seen that Fcount (307.684)> Ftable (3.09) so that Ho is rejected and H4 is accepted.Hypothesis testing is also carried out by comparing the significance value with the significance level.A significance value of 0.000 is less than the significance level of 0.05, so it shows that the independent variables together have a significant influence on the dependent variable.The accepted hypothesis is that there is an influence of supply chain management and company communication capabilities together on production performance at PT. Berlian Manyar Sejahtera.Then the result is that H0 is rejected, thus the results are significant.So the conclusion is that the independent variables used in this research together have an influence on the dependent variable.

Fig 1 .
Fig 1. Heteroscedasticity test Source: Data Processing Results Using the SPSS 26.0 for Windows Software Program Figure1explains that the scattered data does not form a particular pattern and is spread around the zero point on the Y axis.This means that it can be concluded that the data to be studied meets the heteroscedasticity assumption.3.Regression AnalysisMultiple linear regression is used to determine the magnitude of the difference between one variable and another variable with the following formula: Y = a1 + b1X1+ b2X2+e The results of the multiple linear test can be seen in the coefficients table as follows:Table5.Results of Multiple Linear Regression Analysis

Table 1 .
below: Validity Test Results for supply chain management variables Source: Primary data processed with SPSS, 2023.Table

Table 2 .
Reliability Test Results Source: Primary data processed with SPSS, 2023.

Table 5 .
Results of Multiple Linear Regression Analysis

Table 6 .
Determination Analysis