This research is entitled Analysis of the Effect of Education, Health, Sanitation and Average Number of Family Members per Household on Poverty in Indonesia in 2013-2020. The location used in this study is Indonesia and the population in this study is 34 provinces. The data used in this study are secondary data obtained from the Central Bureau of Statistics in 2013-2020 as well as journals related to this research. The method used is Multiple Linear Regression with Panel Data approach which is processed using Eviews-10 software. The results of this study indicate that the fixed effect model is the best model with results showing that partially education and sanitation variables have a negative and significant effect. The results of this study support the poverty circle theory and the theory of human capital. Education is one of the human capital to increase productivity, with good productivity it will affect work and income which can later be used as a reference to get out of poverty. The sanitation variable supports the theory of human capital and has a relationship with public health which will also affect the quality of community productivity. Meanwhile, health variables and the average number of family members per household have no effect on poverty in Indonesia in 2013-2020. The implication of this research is that the government is expected to provide adequate educational facilities and provide counseling about the importance of sanitation to health in reducing poverty. The limitations of this study are that it only uses four independent variables and the period of time used is only 8 years.
Agriculture is a sector that has the potential to be developed because it is a buffer for food sovereignty. Therefore it is necessary to change a new paradigm in agricultural development. Agricultural management is not through a farming approach but is business-oriented. The younger generation who are familiar with digital technology is the hope in the regeneration of old farmers. To support the realization of food security, young farmers known as millennial farmers need to be educated about entrepreneurial patterns in agriculture or agripreneurship. The method of community service carried out is counseling which begins with the presentation of the material, continued with discusi, and mentoring is carried out. The target group for community service is millennial farmers in Kroya village who are members of Karang Taruna. The number of participants was 35 people. Counseling is carried out face-to-face. The result of this activity is that young farmers understand that they can develop their business even better, so that this farmer profession can become a decent livelihood for them
This study aims to analyze the effect of e-commerce website quality, trust, risk perception, and subjective norms on buying interest at Bukalapak.com. This type of research is quantitative. The sampling technique used was purposive sampling. The research method uses Structural Equation Modeling (SEM). The results showed that the quality of the e-commerce website, trust and risk perception have a significant positive effect on buying interest at Bukalapak.com. Subjective norms have not significant effect on online buying interest at Bukalapak.com. This finding implies the policy of the need to create and manage a practical website with a good appearance, using language that is easy to understand and the website is easily accessible to consumers. In addition, it provides product safety guarantees and guarantees against the risk of damage and loss of products purchased by consumers.
The circuit of government monetary policy which is still uncertain in influencing economic growth is an interesting phenomenon to be examined, especially because it occurs in the era of globalization where monetary traffic is very rapid, the situation is the main problem in this study. Therefore, this study aims to determine the impact of monetary policy on economic growth in Indonesia using quantitative analysis methods. The type of data used is secondary data in the form of Time Series originating from the Central Statistics Agency, Bank Indonesia, and the Ministry of Trade from 2010 to 2019 in the form of quarterly. Based on the results of testing the determination of the analysis tool model shows that the right estimation model is Vector Auto Regression (VAR). The results of this study indicate that money supply has a significant relationship to economic growth. While interest rates, exchange rates, and inflation do not have a significant relationship to economic growth
Tujuan dari penelitian ini adalah untuk menganalisis pengaruh PDRB sektor primer, sektor sekunder dan sektor tersier terhadap ketimpangan pendapatan di Indonesia tahun 2010-2020. Lokasi dalam penelitian ini adalah 33 provinsi di Indonesia. Metode penelitian yang digunakan adalah regresi linear berganda data panel. Hasil penelitian ini adalah PDRB sektor primer berpengaruh negatif signifikan terhadap ketimpangan pendapatan di Indonesia, PDRB sektor sekunder berpengaruh positif signifikan terhadap ketimpangan pendapatan di Indonesia, sementara PDRB sektor tersier tidak berpengaruh terhadap ketimpangan pendapatan di Indonesia.
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