THE INFLUENCES OF DIGITAL TECHNOLOGY, DIGITAL LITERACY, AND DIGITAL MARKETING ON THE PERFORMANCE OF SMES IN BEKASI

This research aimed to determine the influences of digital technology, digital literacy, and the use of digital marketing on the performance of small and medium enterprises (SMEs) in Bekasi, West Java. The study is quantitative research with a survey method. Study data were collected using a questionnaire technique with a sample of 338 respondents through convenience and snowball sampling. The SPSS software version 25.0 was used to analyze the research data. To ascertain the effects of independent variables on dependent variable, multiple regression analysis was used. This study has limitations, such as data collection was only limited in Bekasi area and the sampling was conducted without dividing the sector or business type of SMEs. Future studies in other areas with distinctive characteristics or in other parts of the world by using other methods such as random sampling by dividing SMEs based on business sector are potential to increase the model's validity and reliability. The findings of this study demonstrate that the use of digital technology, digital literacy, and digital marketing all significantly and favorably affect the performance of SMEs, with the usage of digital marketing having the most impact. By emphasizing the advancement of digital technology, employee digital literacy, and the use of digital marketing to enhance performance and maintain sustainable growth, the study's findings also offer SMEs improvement strategies..


INTRODUCTION
In today's era of technological advancement, companies are required to rethink their organizational model.They must begin to prepare themselves in adopting technological developments into their organizations.The development of social media can certainly be used to help improve product marketing efforts.One example is the use of Facebook.Southeast Asia's largest Facebook user base is in Indonesia, where >50% of consumers use social media to find the desired commodities (Facebook, 2020).Some large companies can easily demonstrate their ability to abuse digital technologies to pick up a competitive advantage in the market.However, this is not easy for SMEs.With their hierarchical, centralized, closed, top-down organizational structure, it will be difficult for them to change and develop at the pace required by this digital disruption (Rupeika-Apoga et al., 2022).Another study also stated that an understanding of the challenges and barriers that arise when implementing advanced technology and innovation in decision-making within an organization is necessary (Patria et al., 2019).It can also raise issues about the type of technology readiness and organizational change (Patria, 2021).The process of inspiring an organization to develop a strategic response through the use of digital technologies, such as data, computerization, and communication, which will alter the structure, boundaries, and even the path of value generation, and then realize the process of evolution of corporate entities, is known as digital transformation (Vial, 2021).Through digital transformation, it is hoped that SMEs can improve their performance.With the COVID-19 pandemic that is still not over, it will be another challenge for SMEs in carrying out this digital transformation process.
One of the key factors in digital transformation is how SMEs must be able to improve their ability to understand, use, and utilize digital device technology in accessing and managing information.The indispensable aspect in the use of technology is without doubt the users, but not everyone could take advantage of technology.As is the case with most SMEs that have employees with limited levels of education, difficulties in adopting current technological developments are prevalent.Research to examine the extent of SME's adoption of digital technology, the ability of SME's employees to use technology, and the establishment of appropriate and targeted digital marketing strategies are needed in relation to SME's performance.Previous research was mostly carried out in developing countries and in urban cities, hence the necessity to do a confirmatory research is needed to find out whether the same results will be obtained if the research is to be carried out in sub-urban cities, such as Bekasi, which is a satellite city that supports a big city, Jakarta.Bekasi is presently not only a place for urbanites to live but it has also developed into a city of goods and services industry.The area that was once an agricultural area has transformed into a city dominated by industrial activities.
According to (Reis et al., 2018), "digital transformation" is the application of new digital technologies to alter businesses and have an influence on all facets of users' lives.(Schallmo et al., 2019), on the other hand, asserted that digital transformation makes use of digital technology to analyze and compile data so that they can be used as information to evaluate, make decisions, develop new digital business models, assist organizations in creating value, and enhance performance.There are currently a number of studies looking at whether digital transformation can boost business performance, but the results of these studies vary.According to several studies, traditional digital technology use has little to no effect on how well a company performs (Curran, 2018).
More and more businesses are beginning to understand the value of developing a talented team as they work to improve performance through digital transformation because the implementation of digital strategies necessitates the support of digital talents with business capabilities, a holistic viewpoint, and digital concepts and skills.According to (Kane, 2019), humans are the main actor in digital transformation.Study conducted by Solberg et al., (2020) has revealed that digital mindset of employees can influence their contribution to participate in the company's digital transformation program.This is also reinforced by Scuotto et al., (2021), who stated that personal digital capabilities are closely related to the growth and performance of SMEs.Unfortunately, according to (Bikse et al., 2021), some companies are still facing difficulties in starting their digital transformation due to the paucity of manpower and sub-par digital skills of their employees.Research by (Bennett & McWhorter, 2021) mentioned that organizational empowerment is only effective when the right people have been chosen to enable simpler processes in the future, so businesses must develop human resource development virtually and maximize learning resources to get ready for the future.From the discussion of previous research, digital literacy is needed by organizations.
Similarly, marketing strategies are essential in improving the performance of SMEs.Digital marketing is a hot topic in various fields of business and plays an important role in any company's multichannels marketing strategy (Kaur & Hundal, 2017).The key findings of studies also reveal that a company's marketing success largely depends on its social media marketing, website, and digital advertising, all of which are part of digital marketing.In addition, cost savings through the use of digital marketing can be reinvested elsewhere (Alalwan et al., 2017).Unfortunately, most SMEs have not yet fully utilized digital marketing (Taiminen & Karjaluoto, 2015), with many SMEs missing out on business opportunities.It has also been observed that SMEs have a slow response to changes, one of which is from the internet.Based on the discussion above, research on the impact of digital technology adoption, digital literacy, and the application of digital marketing on the performance of SMEs still does not demonstrate strong evidence.There are still some insufficient findings and inconsistencies from the results of previous studies.By selecting an area that has never been subjected to similar research, namely Bekasi, it is hoped that this study is able to determine the relationship between the performance of SMEs with three factors: digital technology, digital literacy, and digital marketing (Adamides & Karacapilidis, 2020).

LITERATURE REVIEW
1. SME's PERFORMANCE According to the EU ( 2003), small and medium-sized businesses (SMEs) are companies with fewer than 250 employees, annual revenues up to 50 million euros, and/or total yearly balance sheets up to 43 million euros.By contrast, a company is defined as an entity engaged in economic activity, regardless of the legal form.Those included in this case are entrepreneurs, as well as family businesses engaged in crafts or other activities, and associations or affiliations that are routinely engaged in economic activity.In addition, SMEs are also recognized as the main motor of economic growth and development, thus creating job opportunities and stimulating competition through innovation and the creation of new ventures (Mago & Modiba, 2022).

SMEs'
development are deeply intertwined with entrepreneurial performance.Entrepreneurs are those who run a business by carrying out production management, financial governance, resource capacity, and marketing by taking opportunities and risks.Sebikari, (2019) stated that entrepreneurial performance is the ability to achieve predetermined entrepreneurial goals.Entrepreneurial performance is measured by ROI, profitability, market share, and sales growth.This shows that performance is closely related to the achievement and increase in efforts in the fields of production, sales, and profits.Sariwulan et al., (2020) stated that the performance of SMEs is the ability to manage their resources in accordance with the stipulated goals.In the study, SMEs' performance was measured by the ability to increase production, increase in sales volume, business unit development, and business profits.Therefore, it is a challenge for SMEs to focus on the most appropriate factors to improve their performance, one of which is digitalization.A study in China stated that the digital transformation process carried out by SMEs has a positive influence on the performance of SMEs (Teng et al., 2022).Meanwhile, by the end of 2020, the Ministry of Cooperatives and SMEs (Kemenkop UKM) aimed to digitalize 10 million SMEs.As for data in 2021, there were 9.4 million SMEs that had digitized or "gone digital".This study aimed to investigate three factors that are likely to improve SME's performance, namely digital technology, digital literacy and digital marketing.

DIGITAL TECHNOLOGY AND
SMEs' PERFORMANCE Digital technology is a technology that no longer requires humans or manual power, tending towards computerized systems or automatic operating systems with a machinereadable format (Aji, 2016).Fundamentally, as business networks grow, digital technology has the potential to alter corporate processes, strategies, products, abilities, services, and connections between organizations (Bharadwaj et al., 2013).Digital technology is becoming the primary foundation for new business model development (Zott et al., 2011;Visnjic et al., 2016).Utilizing digital technology has allowed companies to be able to change from traditional businesses to digital businesses.
Additionally, businesses can implement the digitalization process for their goods, services, and communication methods (Bharadwaj et al., 2013).According to Khanagha et al., (2013), digital technology has opened up many opportunities for companies so that they can interact with customers which further triggers business model innovation.Danuri, (2019) revealed that the definition of digital technology is a technology that prioritizes computerized or digital activities over human labor.According to Feldman (1997), quoted from the journal Murad et al., (2013), digital technology is a technology that allows it to be utilized, manipulated and connected to networks, which are dense and impartial.
By utilizing digital technology optimally, SMEs can manage their business and generate large profits with small capital (Krisnawati, 2018).Tayibnapis et al., (2018) stated that digital technology is proven to have a strategic role in providing goods and services easily, practically, cheaper, faster, on time, more economically, and labor-intensive and that this can provide a great opportunity for increasing SMEs' income.Digital technology has an influence on company performance (Yunis et al., 2018).Meanwhile, according to (Armiani et al., 2021), SMEs must be able to use and update digital technology for their business transactions to improve their maximum performance.Companies that successfully integrate digital technology into their business processes will gain several benefits such as better use of resources, as well as opportunities in expanding how business operate (Warner & Wäger, 2019), innovate and perform better (Bouwman et al., 2018), traditional industries' business model evolution and the possibilities for implementing many business models inside a single organization (Remane et al., 2017).Based on previous discussion, this study proposed hypothesis 1, namely impact of digital technology on SMEs' performance.

Hypothesis 1 (H 1 ): The use of digital technology has an impact on SMEs' performance a.
DIGITAL LITERACY AND SMEs' PERFORMANCE The era of digital development has pushed current generation into the world of digital literacy.One part of digital literacy is the use of e-commerce by SMEs.Unfortunately, there are still many obstacles experienced by SMEs in utilizing e-commerce, including the lack of understanding of information technology (Astuti & Nasution, 2014).For this reason, digital literacy is essential for SMEs in developing their business.Digital literacy itself refers to the set of competencies needed to fully participate in a knowledge society that includes skills, knowledge, and habits or behaviors in using effective digital devices such as smartphones, tablets, laptops, and desktop PCs for the purpose of communicating, expressing, collaborating, and advocating Omiunu, (2019).Sariwulan et al., (2020) stated digital literacy as an entrepreneur's ability to adapt to the developments in the world of technology to utilize and optimize media as a tool of communication, marketing, trend analysis, and demand for goods and services.In addition, quoted from the same journal, Knobel & Lankshear, (2006) stated that digital literacy is defined as a capability used to understand and utilize information in various forms and various sources accessed through computer devices.
A study conducted by (RVSPK et al., 2020) showed that digital literacy does not significantly affect the performance of SMEs in Sri Lanka.This research revealed that business uncertainty plays the most dominant role in the relationship between digital literacy and performance.Meanwhile, in another study, (Hastuti et al., 2021) showed that digital literacy has a significant and positive impact on the performance of SMEs since it can make it easier for SMEs to run a business, allow SMEs to reach more consumers, provide SMEs information that supports businesses, and affect SMEs' marketing efforts.The findings of this study corroborate those of earlier studies, including the studies of (Omiunu, 2019), Sariwulan et al., (2020).From the discussion above, this study proposed hypothesis 2, namely how SMEs' performance are affected by digital literacy.

b.
DIGITAL MARKETING AND SME's PERFORMANCE According to Giantari et al., (2021), digital marketing is the activity of marketing or promotion of a brand or product using the internet or digital media.The goal of digital marketing is to quickly attract consumers and potential consumers (Ritz et al., 2019).It has been commonly understood that the acceptance of technology and the internet is widespread in society.Therefore, it is not surprising that digital marketing activities are the main choice for companies.This has resulted in high competition between companies to create interesting content to be displayed in their virtual world of marketing.
Given the rapidly growing use of online and digital technology around the world, it is not surprising that digital marketing has become the method of choice for many business actors.Six types of digital marketing applications that are often used include website marketing, namely a website that can be used to show business professionalism, help consumers to better understand the business, save CAKRAWALA -Repositori IMWI | Volume 6, Nomor 1, Februari 2023 p-ISSN: 2620-8490; e-ISSN: 2620-8814 405 advertising costs, and offer media that is easy for commercial interaction.Subsequently, search engine marketing and social media marketing utilize social media platforms such as Instagram, Facebook, and Twitter as cheap or even free media for marketing and improving company image.Lastly, there are online advertising, e-mail marketing, and video marketing as well.
Several studies have shown that digital marketing has a strong positive correlation with SMEs' performance.Further research revealed that digital marketing has a positive and significant influence on SMEs' performance.(Kawira et al., 2019), through their research, stated that digital marketing accounts for 38.8% of the total variable in SMEs' performance.Based on the discussion above, this study proposed hypothesis 4, namely the digital marketing's influence on SMEs' performance.

Hypothesis 3 (H 3 ): Digital marketing can optimize SMEs' performance
Relevant references have been reviewed to obtain deep understanding on the assumptions about the impact of digital transformation on SMEs' performance based on three elements, namely digital technology, digital literacy, and digital marketing.
Each business has unique tangible and intangible resources that may be modified to be one-of-a-kind and difficult for competitors to duplicate.These distinctive assets and skills provide a business a sustainable competitive edge.When acquiring a competitive advantage in the market, internal firm circumstances are far more important than external market factors.In order to help SMEs change into digital enterprises and increase their performance, this research concentrated on the organization itself and identified three aspects.The effect of digital technology, digital literacy, and digital marketing on SMEs' performance was examined using structural equation modeling.See Figure 1.

Figure 1. Conceptual model and research hypothesis
Source: Author

METHODOLOGY
This research refers to explanatory research type, in which quantitative research is conducted to reconfirm previous research and observe the correlation between variables, namely digital technology, digital literacy, and digital marketing in SMEs' performance (Creswell & Creswell, 2017).Data were collected through surveys using questionnaires to measure all variables.The focus of this study is SMEs in Bekasi, where each SME has workers, business tools, and marketing systems to enable analysis of all variables.Since this study was intended for correlational testing and was descriptive, researcher interference can be kept to a minimum.A noncontrived approach was used by conducting field studies, in which the results obtained were the ones that happened and were not made up.The unit to be analyzed was in the form of organization or industries, namely the SMEs themselves, which were represented by CAKRAWALA -Repositori IMWI | Volume 6, Nomor 1, Februari 2023 p-ISSN: 2620-8490; e-ISSN: 2620-8814 406 owners or workers understand the strategy and performance of the company.This study used a time span of cross-sectional studies where data collection was carried out once, in a period of several days or several weeks due to the short time span of the study.
The target population of this study was the SMEs in the city of Bekasi.Based on the data of the West Java Province Small Business Cooperative Service in 2021, there were 274,143 SMEs in Bekasi.This research was conducted from October to November 2022.A total of 384 samples to be studied were obtained using the Slovin formula.Considering the target population, samples as well as sampling methods and referring to previous studies, in this study, no special parameters were set.The parameters set included SMEs who ran their businesses in Bekasi.In addition, the convenience sampling method combined with snowball sampling with consideration of a fairly short time and ease of access and communication with respondents was used for sample selection.
The data in this study were collected from two sources.In formulating business decisions, a lot of data and information are obtained from secondary data and primary data are needed.The secondary data of this study originated from international journals, reference books on related variables, and data from the internet.The secondary data were used to assist in obtaining a broader descriptive picture.Meanwhile, the primary data were obtained using a questionnaire.In this study, a survey method with a Likert scale from 1 to 7 was used to produce more detailed data.Considering the limited time and costs as well as the use of information and telecommunications technology, data collection technique using electronic and online questionnaires was opted.An online survey generated using Survey Monkey application was distributed via email and WhatsApp application.
Using SPSS software version 25.0, descriptive and statistical analysis of the data was performed in this study.Several analyses to meet quantitative research methods such as validity tests using Karl Pearson's product moment correlation approach and reliability tests with the alpha Cronbach technique.If the question items in the questionnaire were invalid, the questionnaire items would be deemed unsuitable for use (Ghozali, 2018).Descriptive analysis of each research variable was used to determine mean value, standard deviation, median and mode.Another purpose of descriptive analysis for this study was to define the tendency of data distribution of each variable.Hypothesis testing was carried out using simple correlation and regression statistics preceded by requirement tests such as normality tests, linearity tests to explain the relationship between free variables and bound variables either singly or collectively with a significance level (p-value) of <0.05, this means the risk of error in drawing conclusions was 5% or 95% of the truth.

RESULTS AND DISCUSSION
This study aimed to analyze the influence of digital technology, digital literacy, and digital marketing on SMEs' performance.The data used were primary data obtained through a questionnaire consisting of 45 questions with a Likert scale from 1 to 7. The questionnaire was composed of 6 general data questions, 7 questions related to digital technology, 12 questions related to digital literacy, 8 questions related to digital marketing, and 12 questions related to SME performance.Prior to the distribution to respondents, a pilot test questionnaire was conducted with 30 respondents to test the effectiveness of the questionnaire.The pilot test results showed that some questions had a low loading factor, therefore they had to be modified.After modification, the results of the second pilot test generated better results, followed by distribution to all respondents.Of the total sample of 384 pieces of data, which represented SMEs in Bekasi, there were 46 outlier data, hence the subsequent test was conducted with only 338 data since re-taking data to replace the outlier data was not feasible.Based on the obtained data, descriptive statistics were calculated, followed by validity tests, reliability tests, classical assumption tests, and multiple regression analysis.

1.
DATA Table 1 presents the data obtained through the questionnaire from a total of 338 respondents.The data were also used in further analysis.1, the descriptive statistical values for related questions were calculated, using the results of mean and standard deviation.The results of descriptive statistics are presented in Table 2 below.

Table 2. Descriptive Statistics Results
Source: Research data (generated using SPSS 25.0)

REALIBILITY TEST Table 4. The Test for Reliability of Digital Technology
Source: Research data (generated using SPSS 25.0) Table 4 presents the Cronbach's α value of 0.939 is indicated, which is larger than R table =0.60, therefore the digital technology variable is reliable.

Table 5. The Test for Reliability of Digital Literacy
Source: Research data (generated using SPSS 25.0) Table 5 presents the Cronbach's α value of 0.915 is indicated, which is larger than the value of R table =0.60, therefore the digital literacy variable is reliable.

Table 6. The Test for Reliability of Digital Marketing
Source: Research data (generated using SPSS 25.0)

Reliability Statistics
Cronbach's Alpha N of Items .9397

Reliability Statistics
Cronbach's Alpha N of Items .91512

Reliability Statistics
Cronbach's Alpha N of Items .950 Table 6 presents the Cronbach's α value of 0.950 is indicated, which is larger than the value of R table =0.60, therefore the digital marketing variable is reliable.

Table 7. The Test for Reliability of SME's Performance
Source: Research data (generated using SPSS 25.0) Table 7 presents the Cronbach's α value of 0.957 is indicated, which is larger than the value of R table =0.60, therefore the performance variable is reliable.
Therefore, it can be said that all variables are reliable because the Cronbach's Alpha value is greater than the R table value.

a. CLASSICAL ASSUMPTIONS TEST
Prior to analysis using the multiple regression method, the data had to first be tested for classical assumptions, consisting of the multicollinearity test, heteroscedasticity test, normality test, and the autocorrelation test.The data are considered to meet the normality assumption if they spread on the histogram graph.By looking at the histogram graph in Figure 2, the study's data are believed to be normally distributed.The P-Plot figure additionally demonstrates that the point spreads around the diagonal line and moves in the direction of the histogram line toward the pattern of a normal distribution, demonstrating that the dependent variables satisfy the assumption of normality..However, testing normality using charts can be misleading, hence, the Kolmogorov Smirnov (KS) statistical test was conducted to provide further confirmation.Based on Table 8, the Kolmogorov Smirnov value is 0.057, which is >0.05, therefore the residual value is distributed normally.

MULTICOLLINEARITY TEST
Multicollinearity is observed from the tolerance and values of the variance inflation factor (VIF).Variability of a few chosen independent variables that cannot be accounted for by other free variables is measured by tolerance.Since VIF = 1/tolerance, it means that a high VIF value equals low tolerance value and denotes the presence of significant collinearity.A tolerance value more than or equal to a VIF value lower than 10 is a frequently employed cutoff number.10, the significance value of autocorrelation test of the runs test method is 0.630, or greater than 0.05, suggesting that the data are devoid of autocorrelation.

HETEROSCEDASTICITY Table 11. Glejser Test for Heteroscedasticity
Source: Research data (generated using SPSS 25.0)  11, the sig value of the digital technology variable is 0.383, the sig value of the digital literacy variable is 0.421 and the sig value of the digital marketing variable is 0.773.These values are greater than 0.05, suggesting that the independent variable data in this study do not indicate heteroskedasticity.It can therefore be concluded that there is no occurrence of heteroscedasticity, and it is feasible to test the research with multiple linear regression test models.
After all classical assumption tests had been met, the data were modeled using the multiple regression method.

a. Multiple Regression Analysis
Multiple regression analysis was used to test the influence of the following factors: digital technology, digital literacy, digital marketing on SMEs' performance, with the constructed hypotheses as follows: ; digital technology, digital literacy, and digital marketing have significant effect on SMEs' performance. The regression coefficient in digital marketing variable (X 3 ) is positive at 0.363, suggesting that if there is an increase in the variable X 3 by one unit, the perfomance variable (Y) also increases by 0.363 units.A positive coefficient means the relationship's direction is variable X 3 to the variable Y is in the same direction, that is if the variable X 3 increases, the variable Y increases as well.

Table 12. Multiple Regression Coefficient
Source: Research data (generated using SPSS 25.0)

ANALYSIS
According to the results, the conclusions are as follows:

Hypothesis 1 (H 1 ): The use of digital technology has an impact on SMEs' performance
From the results of the study, digital technology has a positive relationship with the performance of SMEs in the Bekasi area.When compared to other previous studies, the results do not differ significantly.
This shows that there are implications that if the adoption of digital technology increases, the performance of SMEs in the Bekasi area also increases.If there is an increase in the adoption of digital technology by one unit, the performance of SMEs in the Bekasi area will be increased by 0.344 units of digital use, which has a positive impact on the performance of SMEs.
Hypothesis 2 (H 2 ): Digital literacy has a positive influence on SMEs' performance Unlike one of the previous studies in Sri Lanka which showed that there is no significant impact between digital literacy on the performance of SMEs, it turns out that differences in characteristics in Bekasi also provide different results.The results showed that digital literacy has a positive influence with the performance of SMEs in the Bekasi area.
As such, the implication is that if digital literacy increases, the performance of SMEs in the Bekasi area also increases.If there is an increase in digital literacy by one unit, the performance of SMEs in the Bekasi area increases by 0.208 units.

Hypothesis 3 (H 3 ): Digital marketing can optimize SMEs' performance
The results of the research for this hypothesis found that digital marketing can optimize SMEs' performance in Bekasi, where the results are similar to the results of previous studies.
The implication is that if digital marketing increases, the performance of SMEs in the Bekasi area also increases.If there is an increase in digital marketing by one unit, the performance of SMEs in the Bekasi area increases by 0.363 units.

CONCLUSION
This study concluded that all hypotheses are acceptable.First, the use of digital technology produce a desirable impact on SMEs' performance.Second, SMEs' performance is positively influenced by digital literacy.And third, digital marketing can optimize the performance of SMEs.Of the three variables, digital marketing has the most influence on the performance of SMEs.This research has several limitations, including data collection which was only conducted in the Bekasi area, a sub-urban city which is a satellite city supporting the big city of Jakarta.Second, this study used convenience and snowball sampling methods.The method was selected considering time constraints and taking advantage of the ease of access in determining respondents.
Third, the determination of respondents, in this case SMEs, was carried out without dividing the sector or type business.Fourth, SMEs in Bekasi rarely publish their financial status.Thus, in this study, the performance indicators were general assumptions assessed directly by respondents who were owners or in charge of SMEs, who understood their financial condition of their business.
Similar studies in other areas with distinctive characteristics such as coastal areas, tourist areas, or other parts of the world and using other methods such as random sampling by dividing SMEs by business sector are considered to be able to improve the validity and reliability of model measurements.Additionally, other study has concluded that there is still a gap on how the leadership and technology come to an end in order to tackle any substantial issues from technological readiness to organizational change (Patria, 2021).For this reason, further research to look at the moderating role of SME technology leadership support on SME performance seems necessary.
The results of this study can be a basis or suggestion that strengthens the opinion of aspects that affect the performance of SMEs and can be used as a theoretical reference to develop SMEs' performance.Employers can obtain an idea that a focus on digital technology investment, employee digital literacy, and the use of digital marketing can help improve performance and maintain the sustainable growth of their business.This must certainly be accompanied by training, technological literacy and entrepreneurial skills.The results of this research can also provide input to district heads as a basis for consideration of policy making to support growth of SMEs in their areas as well as encouraging the rapid growth of SMEs.

Table 3 . Results of The Validity Testing
Based on Table3, which is a summary of the validity test results, it can be said that every question and answer instrument is valid since R count is larger than R table , where R table is found to be at 0.300, with a significance value of <0.05.

Sample Kolmogorov-Smirnov Test
d. Based on 10000 sampled tables with starting seed 926214481.

Table 9 ,
tolerance values of 0.480 are obtained in digital technology variable, 0.454 in digital literacy variable, and 0.599 in digital marketing variable.Meanwhile, the VIF value is 2,082 in digital technology variable, 2,202 in digital literacy variable, and 1,670 in digital marketing variable.Based on the values obtained on all independent variables (digital literacy, digital literacy, and digital marketing) all VIF values ≤10 and tolerance > 0.01, hence it can be concluded that there is no multicollinearity between variable

Table 12
 The regression coefficient in digital technology variable (X 1 ) is positive at 0.344, suggesting that if there is an increase in the variable X 1 by one unit, the perfomance variable (Y) also increases by 0.344 units.A

Table 15
shows the value of t count on each of the variables as follows: The p-value of digital marketing variable X 3 is 0.000, which is <0.05, and the t count is 6,295, where the value of t count >t table (6.205>1.96709),therefore H 0 is rejected in favour of H 3 , which means that there is an influence of the digital marketing variable X 3 on the performance variable (Y)  The p-value of digital technology variable X 1 is 0.000, which is <0.05, and the t count is 6,398, where the value of t count >t table (6.398>1.96709),therefore H 0 is rejected in favour of H 1 , which means that there is a significant influence of the digital technology variable X 1 on the performance variable (Y)  The p-value of digital literacy variable X 2 is 0.000, which is <0.05, and the t count is 6,205, where the value of t count >t table (6.205>1.96709),therefore H 0 is rejected in favour of H 2 , which means that there is a significant influence of the digital literacy variable X 2 on the performance variable (Y) 