The Influence of the Digital Economy and Women's Empowerment on the Family Economy

: This study aims to ascertain the effect of the digital economy and women's empowerment on the family economy. SMEs communities in Tangerang City, Banten Province, were included in this study. The sampling technique utilized is a combination of probability sampling and random sampling. They are compiling data through the use of a questionnaire. The maximum number of people whose data can be analyzed is 97. This study used Partial Least Squares to analyze the data (PLS). The findings indicated that (1) the construct of the digital economy had a positive and significant effect on women's empowerment, with a statistical T value of 2.990; (2) the construct of women's empowerment had a positive and significant effect on the family economy, with a statistical T value of 7.141; and (3) both the digital economy and women's empowerment had a positive and significant effect on the family economy, with a statistical F value of 242.61.


Introduction
The Industrial Revolution 4.0 has resulted in significant changes to various facets of human life; we can now see how these changes have developed into an unstoppable force; global companies and those in Indonesia are competing to innovate to win market share in the middle of the world. Competition is becoming extremely heated. The innovations included a digital transformation strategy that involved extensive changes to all processes, competencies, and business models through digital technology, following the recommendations of various global research institutions that made digital transformation a mainstream strategy for organizations competing on a worldwide scale 1 . The term "Digital Economy" refers to an economic idea that needs information technology. The current fact is that there are more than 140 million active internet users. This is an exciting chance for the country's digital ecosystem to grow. The Industrial Revolution 4.0, with its abundant job options, is a significant chance to enhance women's income. According to the latest data from the Central Statistics Agency (BPS), just 30% of female workers are employed in STEM.
Meanwhile, a 2018 UNESCO study found that female workers' limited engagement in the industrial sector was primarily attributable to the notion that industry was the realm of male workers, requiring physical labor that was undesirable to female workers. Additionally, many female graduates with degrees in science, technology, engineering, and mathematics are less likely to pursue positions in the industry than men 2 . The industry has bright possibilities in the digital, scientific, technology, engineering, and mathematics (STEM) era. As a result, women should be involved more from the start. Women's engagement in STEM-based education must grow to enhance digital expertise and close the digital divide between women and men, possibly even exceeding them, similarly concerning finance access. Women's success in the digital economy will enable them to overcome a slew of other economic challenges. Inequality in the treatment of female workers, low earnings, and gender-based discrimination in various sectors can be addressed if women's mindsets shift. From unfair treatment of workers to entrepreneurs capable of contributing to the country's economy 3 .
Women's strategic importance in nation formation cannot be overstated. According to 4 , women have a strategic role as domestic workers (managing the home, raising and caring for children), transition workers (working in the family company), and career women. Indeed, women possess an enormous potential that may be leveraged for the nation's advancement. As the primary educator of their children, women must have a broad understanding and expertise in information and communication technology to perform their jobs optimally. This will affect the next generation of intelligent and conscientious individuals. Women in the digital era must be able to participate not only as housewives but also in family companies and the workforce. The involvement of information and communication technology in family duties can provide insight into how to educate and manage the home modernly to identify solutions to education and household management challenges. Information and communication technology can be a critical instrument for women's economic empowerment in the social realm, as many economic activities can now be conducted online. Additionally, it may encourage additional social activities 5 .
The Industrial Revolution 4.0's rapid transformations necessitate women's full participation. Women must enhance their competence to enter the labor market or the future business sector. Women now have a broader range of opportunities, including an increasing number of totally automated and digital employment. Jobs that demand physical exertion are gradually being phased out in favor of those that require more excellent brains, foresight, and the capacity to understand technology in the new work age. by communication and leadership abilities, particularly in managing an independent career or business 6 .

Digital Economy
Don Tapscott defined the digital economy as a sociopolitical condition and an economic system with features of an intellectual space, such as information, various access to instruments, capacity, and ordering information 78 . At least four significant elements are associated with digital economy activities where geographical location is no longer relevant. These particular platforms are the fundamental keys to network development and the usage of big data. Meanwhile, 9 contends that the digital economy is an economic activity or activity that focuses more on digital facilities and impacts the economy that is projected to boost earnings for those who participate. The development of the digital economy is inextricably linked to technological advancements. Technology can make it easier for individuals to acquire a service or imitate human intellect to streamline corporate processes, production, and decisionmaking. The presence of the digital economy has altered the existing system's hierarchy.
The existence of the digital economy is believed to be capable of promoting economic growth and increasing the competitiveness of products and services on both the micro and macro levels, promoting global economic development, increasing industrial productivity, and opening new industrial markets in the context of long-term growth. Various aspects can be considered when attempting to succeed in the digital economy era, the most important of which is individual creativity and information technology. Individual creativity, for example, how an individual continuously and sustainably innovates in business practices; additionally, information technology acts as an enabler and facilitator in knowledge management and management, enhancing the effectiveness and efficiency of the processes involved in the creation, manipulation, and distribution of information 10 .

Women empowerment
Empowerment is defined in the human resource empowerment concept as a business activity that further empowers human energy across events and human advancement, incompetence, trust, jurisdiction, and responsibility, to carry out organizational activities that result in expected performance improvements. Carver and Clatter Back (1995) define empowerment as providing individuals with the confidence and chance to assume personal responsibility for organizational improvement and contribution. According to Shardlow (1998), empowerment is a term that refers to the process by which individuals, groups, or communities attempt to exert control over their own lives and build the future according to their aspirations, Ife (1995) describes empowerment as "giving people with resources, opportunities, information, and skills to enhance their capacity to select their futures and participate in and impact their communities' lives" 11 . The Ministry of Women's Empowerment is an undertaking to encourage women to attain control and access over resources, the politics, economy, society, and culture for women to self-regulate and develop the confidence necessary to play a role and actively participate in problem-solving.

Family Economy
"Family economic status" means the state or position (person and body) in dealing with the surrounding community. Economics means household financial affairs (organizations, state) in society, and economic terms are usually related to the problems of rich and poor; family implies mother and father and their children, the basic kinship unit in society. In this context, Aristotle's statement: "That in every country, there are three elements, namely those who are very rich, poor, and poor is in the middle." Such remarks more or less prove that at that time, they had a stratified position from the bottom to the top. A prominent sociologist, Pitirim A. Sorokin, said that the stratum system is a constant and common feature of people who live regularly. Whoever has valuable items in substantial quantities is considered a superior class of society 12 .
Further explained that the existence of a system of layers of society could occur by itself in community growth. But some are arranged deliberately to pursue a common goal 13 . Theoretically, all humans are considered equal. However, according to the reality of the life of social groups, this is not the case. Differences over layers are a universal symptom that is part of the social system of every society. According to 14 , one of the family functions is an economic function, namely a condition that the family is an independent social group in which family members consume the goods they produce. In this context, the family needs financial or financial support sufficient for the production needs of the family. This is because the family also functions as education for the whole family, providing education to children and youth.

Utilization of the digital economy in the family economy
Digital technology will help small businesses grow, according to 15 . They say that companies will use the technology to get and manage information, integrate and analyze data, build new knowledge, and communicate with others. People who run digital-based MSME businesses will get better at their jobs (or, in other words, have a gender perspective). Women are never seen as a burden to development but as partners and even subjects of development that women can use to help them grow. Women are in a variety of strategic positions to help with development projects. As a result, efforts must be made to help women become more powerful in society, the country, and the state in overcoming women's powerlessness so far 16 .
After poverty and violence against women, gender and technology are among women's most essential and vital issues today 17 . In the long run, Information Technology (IT) does not weaken women or make a big difference between men and women. Still, on the other hand, it can be an excellent way to help women, like in business. Based on the description above, we can write down the research hypothesis: H1: The use of the digital economy affects the family economy

Women's empowerment in the family economy
18 stated that economic empowerment by lending money to women would have a more significant cascading effect than men. 19 It is because men tend to use cash for their interests. 20 On the other hand, women tend to use the money to invest to benefit the family. 21 , in one of his studies, also mentions that it is consistent that increasing financial access to women will have a positive impact that can open every link in the chain of women's empowerment because: (1) women will have control over assets and income; (2)  the role of women in decision-making; and (3) enhance women's status in the family and community. Increasing the role of women can be interpreted as access to resources so that women also contribute to society. Thus, economic empowerment that opens financial access to women has great potential to improve people's living standards. 22 On the other hand, Mayoux (1997) also stated that the provision of microcredit to women not only has a good effect but can also have a negative effect if: (1) the business carried out only provides a small amount of income; (2) women only use as liaisons between husbands and the micro-credit program; (3) increasing women's independence is only temporary without the support of men; and (4) the increase in women's income raises concerns about the reduced contribution of men to income. 23 According to him, these positive and negative impacts vary according to different activities, backgrounds, social, economic, and cultural. In harmony, granting credit to women will increase the burden on women who, on the other hand, have a domestic role called the triple burden of women (reproductive, production, and social). Based on the given description, the research hypothesis can be written as follows: H2: Empowerment of women affects the family economy

Utilization of the Digital Economy and Women's Empowerment in the Family Economy
The digital economy has a considerable economic influence. A positive transition in which the business world and social groups play a critical role in ensuring the nation's financial independence. Economic growth stimulates remarkable growth to achieve economic growth 24 .
The digital economy is crucial for regional development because it has the potential to encourage growth, invention, and competitiveness through promoting entrepreneurship and MSMEs. The growth of entrepreneurship in the digital economy spawned new ideas in the form of Entrepreneurship to advance the digital economy. The digital economy's development should be 22 Mayoux, L., 39-50 23 Mayoux, L., 39-50 24 Hamdan, 'Industri 4.0: Pengaruh Revolusi Industri Pada Kewirausahaan Demi Kemandirian Ekonomi', Jurnal Nusantara Aplikasi Manajemen Bisnis, 3.2 (2018).
consistent with the usage of information and communication technologies. The greater a country's use of information and communication technology, the more developed its digital economy 25 , can formulate the following research hypothesis based on the description above: H3: The digital economy and women's empowerment affect the family economy.

Approaches and types of research
In this study, the approach used by researchers is quantitative. The quantitative approach results from a combination of the Marburg school, which collaborates with the flow of positivism philosophy 26 . The systematic scientific examination of the constituents and phenomena and the relationship between the constituents' details. The steps for quantitative research are formulating problems, looking for theoretical foundations, formulating hypotheses, formulating hypotheses, developing instruments, and testing instruments on the population and then samples, collecting data, analyzing data, making conclusions, and giving suggestions. In this study, researchers focus on the relationship between the digital economy that affects women's empowerment and the family economy. This study used associative research. Associative research is research to know the relationship between two or more variables. Thus, it can build a theory that functions to predict and control a phenomenon. In this study, researchers explain whether there is an influence between the digital economy and women's empowerment in the family economy. This study considers the digital economy and women's empowerment independent variables, whereas the family economy is a dependent variable.

Population and sample
The population is a category of objects or subjects chosen by the researcher to be researched and concluded. Each study must include population size and the research area covered. The population comprises a finite number of individuals (finite) and an infinite number of individuals (infinity). However, a limited population is always an endless population in reality. Individuals can be homogeneous or heterogeneous based on their nature.
The sample is a subset of the population's size and features. After considering the challenges, objectives, hypotheses, methodologies, research instruments, time, effort, and financial constraints, the researcher chooses. If the sample does not adhere to the required quality and characteristics, the study can become ordinary or unreliable, and errors can emerge when concluding. The sampling technique employed is based on Simple Random Sampling, in which sample elements are chosen so that any aspect of the population has an equal chance of being selected as a sample member 27 . It is described as simple (uncomplicated) because members of the population are sampled randomly without respect for existing strata in the population 28 using the age, education level, status, and length of residence as a housewife as criteria.
The sample of this study itself is the population in the Sudimara Pinang Village, Pinang District, Tangerang City, totaling 12,859 people (source: BPS Tangerang City, 2020). In this study, the authors narrowed the population, namely the total number of SMEs, as many as 100 people, by calculating the sample size using the Slovin technique according to 2930 . The Slovin formula is used in this study because the sample size must be representative for the research findings to be generalizable. The calculations do not require a table of sample sizes but can be performed using basic formulas and computations. 27 Sugiyono, Metode Penelitian Pendidikan Pendekatan Kuantitatif, Kualitatif, Dan R&D (Bandung: Alfabeta, 2015). 28

Operational Variable
The dependent variable is often the output variable, criteria, and consequent. The dependent variable is the affected variable, which becomes the result of the independent variable. The dependent variable is the variable that is influenced or the effect of the independent variable 31 . The dependent variable used in this study is Family Economy (Y). At the same time, the independent variables are often referred to as stimulus, predictor, and antecedent variables. The independent variable is a variable that affects or is the cause of the change or the emergence of the dependent variable 32 . There were 2 (two) independent variables studied in this study, namely the digital economy and women's empowerment. The measurement of each variable can be seen in Table 1.

Respondents' Overview and Demographics
This research was conducted on business actors owned by women aged 18-45 years in Sudimara Pinang Village, Pinang District, Tangerang City, with 100 people. Respondents were selected using the purposive sampling method, namely sampling, where the selection of sample elements was chosen using several considerations and specific criteria. The data processing in this study used the SmartPLS software version 3. The data processed were respondents' answers related to the digital economy, women's empowerment, and the family economy. The questionnaire distribution is done by sending a google form link through technological media such as email, WhatsApp, and SMS. The period for filling out is one month from when submitted the questionnaire to the respondent. The completed questionnaire is returned through confirmation to the contact person who receives the questionnaire. The number of questionnaires distributed and successfully collected is in Table 2. Source: Processed primary data (2021) Table 1 above can explain that the number of questionnaires sent to respondents amounted to 100 questionnaires with details of the returned questionnaires amounting to 98 or 98%, questionnaires that did not return Variable Indicator Scale Measurement 3) Access 4) Participation 5) Power/Control amounted to 2 or 2%, questionnaires that could be processed amounted to 97 or 97% and questionnaires that produced. It cannot be processed as much as 1 or 1%.
The number of respondents aged between 18-30 years was 66 people or 68.04%, respondents aged 30-40 were 27 people or 27.84%, and respondents aged between 40-45 years were four people or 4.12%. This shows that most respondents in this study were aged 18-30 years, which amounted to 66 people of the number of questionnaires processed in this study; 11.34 percent of respondents had a master's degree or higher. Furthermore, respondents with S1 education comprised 26 people or 26.80 percent, D3 education comprised five people or 5.15 percent, and respondents with high school education comprised 55 people or 56.70 percent and are the dominant respondents. Respondents with unmarried status are dominant with 67 people or 69.07%, compared to those with marital status, which is married 30 people or 30.93% (Table 3).

Data quality test
PLS is a technique for predicting components in a model with several elements and collinear interactions 36 . The first stage in analyzing the study's results is to assess the measurement model to ascertain the nature of the link between latent variables and their indicators or manifest variables. The outer model evaluation uses the convergent validity approach, as indicated by the correlation between the indicator scores and the construct scores (loading factor), following the criteria for valid indicators with a value larger than 0.5 37 . A validity test performs to determine a questionnaire's validity or reliability. A questionnaire is valid if the questions reveal information about the subject measure determined validity in this study by utilizing the Smart PLS application and the AVE value (Table 4).  Table 3, it can show that each construct (variable) has an AVE value above 0.5. This indicates that each of these constructs has good validity from each indicator. The questionnaire may be valid for establishing the relationship between the digital economy, women's empowerment, and the family economy. In addition, each construct of the latent variable has a composite reliability score above 0.7, implying that the exogenous variable's internal consistency has good reliability. It may argue that the respondents' answers to the statements from the questionnaire on the variables resulted from inconsistent answers.

Outer model measurement
According to Imam Ghozali (2015), the outer model is evaluated using convergence validity, discriminant validity, and composite reliability. 38 The whole image of the structural equation model was used to assess the outer model with Smart PLS 3.0. (Figure 1). Figure 1 explains the overall correlation of each variable which states the influence of the digital economy. All indicators have a value of more than 0.5 and must eliminate these indicators if they do not meet the criteria for convergent validity. In the picture, all correlation values are above 0.5, so all variables have met convergent validity. Twelve indicators explain ED's variable: ED1, ED2, ED3, ED4, ED5, ED6, ED7, ED8, ED9, ED10, ED11, and ED12. The outer loading test determines the association between item or indicator scores and constructs scores. Suppose the correlation coefficient is more than 0.7. However, a correlation of 0.5 is acceptable during the developing period 39 .

Figure 1. Full Model Structural
The data processing findings show in Table 5, where the outer loadings of the digital economy variable indicator are greater than 0.5, indicating that the outer model value or correlation with the overall variable is convergent. The tstatistic values for the indicators ED1-ED12 exceed the t-table with a significance threshold of 1.96 and n samples = 97. As a result, the digital economy variable satisfies the model adequacy or discriminant validity requirements. Five indicators explain women's empowerment: PP1, PP2, PP3, PP4, and PP5. As a result, the outer loadings of the indicator variable for women's empowerment are greater than 0.5, indicating that the outer model's value or correlation with the variables meets the criteria for convergent validity. The t-statistical value for each indicator of psychological capital is bigger than the t-table with a significance threshold of 1.96 and n samples = 97. Thus, the women empowerment variable satisfies the model adequacy or discriminant validity criterion. The family economic variable explains four indicators, EK1, EK2, EK3, and EK4. The outer loadings of the family economic variable indicator are greater than 0.5, indicating that the outer model or correlation with the variables is already achieving convergent validity.

Inner Model Measurement
The inner model represents the relationship between latent variables based on a substantive theory. Inner model testing, also known as inner relation, structure model, and substantive theory, was used to ascertain the relationship between the research model's concept, significant value, and Rsquare. The structural model performs R-square tests on the dependent construct. The threshold for rejecting and accepting the proposed hypothesis is +1.96, with the hypothesis being accepted if the t-statistic exceeds the t-table value (1.96). Table 6 contains this investigation's inner model (result for inner weight).  Table 4 shows that the relationship between the digital economy and the family economy is positive at 2.990, and the relationship between women's empowerment and the positive family economy is 7.141. On the other hand, the family economic R-square value of 0.755 means that the higher the R-square value, the greater the variable can explain other variables, so the better the structural equation.

Testing Research Hypothesis
Hypothesis 1 states that the digital economy positively affects the family economy. Based on the research results, all indicators have a value above 0.5. The 12 indicators meet the criteria for convergent validity (AVE value). The calculation results in table 5.14 show a significant positive effect between the Digital Economy on the Family Economy, shown with the original sample value of 0.267 and the t-statistic value of 2.990, which is greater than 1.96 means that hypothesis 1 is accepted. So, it can interpret that the better the digital economy, the family economy will increase with the contribution of the parameter coefficient of 0.267.
Hypothesis 2 states that women's empowerment positively affects the family economy. Based on the research results, all indicators have a value above 0.5. Then the five indicators meet the criteria for Convergent validity (AVE value). The calculation results in table 5.15 show a significant positive effect between women's empowerment on the family economy, shown with the original sample value of 0.641 and the t-statistic value of 7.141, which is greater than the 1.96 hypothesis 2 is accepted. The better women's empowerment, the family economy will increase with the contribution of the parameter coefficient of 0.641.
Based on the data obtained and processed by the author, the digital economy has a significant positive relationship with the family economy, as indicated by the original sample value of 0.267, the t-count value of 2.990, which is greater than the t-table (1.96) and women's empowerment has a significant positive relationship with the family economy as indicated by the original sample value of 0.641, the t-count value of 7.141 which is greater than the t-table (1.96). However, to test hypothesis 3, namely the effect of the digital economy and women's empowerment together (simultaneously) on the family economy, one must use another additional calculation, namely the calculated F formula below.
FCount is 242.61 based on the results of the preceding calculation. When compared to the F-table at the 95 percent confidence level (=0.05), the F-count findings indicate that df 1 (number of variables -1) or 3-1 = 2 and df 2 (n-k) or 97-2 = 367 of 3.87. As a result, because the estimated F value is more than the F table (242.61 > 3.87), Ho is rejected, and Ha is accepted. The finding demonstrates a statistically significant positive association between characteristics related to the digital economy, women's empowerment, and the family economy. As a result, it is possible to assert that Hypothesis 3 has a considerable positive influence on both the digital economy and women's empowerment while also positively affecting the family economy.

The effect of the digital economy on the family economy
According to the study's findings, the digital economy positively affects the family economy. The study's findings are based on digital economy variables formed by 12 indicators, all of which are valid, namely ED1 to ED12. The tstatistic value for ED is 2.990. In addition, it shows that the family's economic indicators are thought to be better when the digital economy indicators, such as knowledge and digitization, are used. This is because these indicators affect the family's economic indicators positively.
Hypothesis 1 is that the digital economy benefits the family economy. The study's findings indicate that the stronger the digital economy, the stronger the family economy. The largest of the 12 indicators is molecularization (ED4), with the same initial sample value of 0.956. This helps to explain why the digital economy takes on a molecular structure (molecularization) that is easily adaptable to dynamic changes in the business environment. In other words, the digital economy can adapt to influence the family economy in several ways, one of which is improving social welfare (social well-being). This research is in line with   40 , who shows that the e-commerce industry, as part of the digital economy, contributed USD 12 billion in 2014 to the Indonesian economy. 41 They think that this business will keep growing, which will make the Indonesian economy better. This business is very important to a stable and strong economy in Indonesia.
The digital economy, due to technological innovation, has significantly altered people's consumption habits 42 . More importantly, because of its financial accessibility, it has encouraged household entrepreneurship. We estimate the impact of the digital economy on the likelihood of household entrepreneurship. The empirical findings suggest that digital economy tools such as mobile payment, by changing people's attitudes toward risk, enriching households' social networks, and providing formal and informal lending support, can significantly increase the likelihood of household entrepreneurship and can improve the Gross Domestic Product 43 . According to the heterogeneity analysis, the Digital economy is now playing an increasingly important role in promoting household entrepreneurial activities in rural and western regions, where economic development is relatively slow due to the need for improved supporting facilities such as transportation, the financial network, and information communication. As beneficiaries and end-users, digital platforms also initiated a unique competition and financial impact in different aspects of consumer welfare. 44 Moreover, the digital economy has created new avenues for economic practice. At their most basic, these forms provide economic benefits as gifts and rely on cooperation rather than authority 45 .

The effect of women's empowerment on the family economy
According to the study, women's empowerment benefits the family economy. The study's findings are based on the variable of women's empowerment, composed of five reliable indicators, namely PP1 to PP5. PP has a t-statistic of 7.141. This demonstrates that indicators of women's empowerment have a beneficial effect on family economic indicators.
The researcher asserts in Hypothesis 2 that women's empowerment benefits the household economy. The study's findings indicate that the more empowered women are, the healthier the family economy will be. The greatest original sample value is 0.909 for the PP3 (Access) indicator. This explains why women's economic participation affects the home economy and why boosting women's financial access benefits the chain of women's empowerment. This study is consistent with 46 , who showed that business groups involving women could provide added value for all community members. 47 Women's empowerment to access the components of development, including health, education, earning opportunities, rights, and political engagement is a bidirectional relationship between economic development and women's empowerment. One way to reduce gender disparity is through development; however, persuasively demonstrated, progress can also be hampered by persistent prejudice against women. In other words, empowerment can hasten development. 48 The excellent growth effects involve diverse social groups, particularly women, in various positions and processes. Existing research has primarily focused on socio-economic aspects of empowerment, especially women's labor participation, and education access, to promote economic growth 49 . Therefore, economic growth and the gender gap in education Increased per capita income reduces gender inequality. Moving from a poor to a lower or middle-income country makes little difference in reducing the education gender gap. At higher stages of development, rising incomes reduce this gap. 50 In countries with low female education levels, increasing girls' school attendance has no impact on per capita GDP growth. In countries with a high level of female education, improvements in female enrolment are associated with faster economic growth. This result suggests that gender inequality in education is minor at low levels of development (agricultural societies) but significant at higher levels (industrial societies). 51 The results of this study show positive results that women's empowerment has a significant effect on the family economy. We estimate because this study was conducted in the city of Tangerang, an industrial area.

5.3
The effect of the digital economy and simultaneous empowerment of women on the family economy micro, small, and medium-sized enterprises (MSMEs), particularly among women. Women who take an active role in managing the digital economy will help their enterprises expand and establish themselves as a critical component of the family economy. This study is consistent with the findings of   52 , Suwarni et al. (2019) 53 , and Sari (2019) 54 , who all concluded that the digital economy had a significant impact on the economy. A positive transformation in which the business community and social groups play a substantial part in bolstering the country's economic independence so that economic growth results in an additional increase.
Women in emerging economies can use the digital platform to transform their social, political, and economic lives by changing and reshaping processes that lead to opportunities for growth and development, potentially closing many gaps in human socio-economic development. 55 The digital economy is credited with assisting women's empowerment in emerging markets to identify new employment opportunities, engage in self-employment opportunities, and advance personal and social advancement in terms of increased self-efficacy and social capital. 56 The findings of this study support previous research findings that the digital economy is critical to overall development, poverty eradication, and the empowerment of historically disadvantaged groups, such as women and minorities. 57 The digital economy was described as a tool to empower women at the 2002 World Summit on the Information Society. 58 Several studies support the claim that the digital economy empowers women, both individually and in groups, and the benefits of such empowerment are substantial. 59   showed how the digital economy could support and empower women in challenging circumstances (living conditions, social isolation, stigma). 60   described how ICTs helped Nigerian women address poverty. 61 62 suggest that digital economy empowerment results in new and self-employment opportunities, more formal and non-formal education, and improved health and gender information and services. Mobile apps and social media allow people to form new knowledge in the digital economy-mediated spaces, participate in social conversations, develop new content, and build socially relevant connections and networks. 63

Conclusion
Based on the findings of the previous chapter's analysis and discussion, it is possible to conclude that the following is correct: 1. The digital economy has a significant and positive impact on the family economy. The significance value of 0.000 and the t count > t

Acknowledgments
Syekh Yusuf Islamic University supported this study through its LPPM Program. The authors would like to thank Industry and Trade Office Kota Tangerang and Syekh Yusuf Islamic University for giving us opportunities to carry out this research. The author also likes to thank all those respondents who participated this study. The authors acknowledge the helpful comments and supports from reviewers and the editors of Sawwa of Journal Study Gender.