Determinan Pengangguran Terdidik Lulusan Universitas di Pulau Jawa

This study aims to determine the factors that influence educated unemployment in Java. The data used in this study is secondary data using quantitative methods. Data analysis uses panel data analysis which is a combination of time series and cross-section data. The time-series data uses data for the 2015-2019 period and cross-section data from 6 provinces on the island of Java. The results showed that simultaneously all variables had a significant effect on the level of educated unemployment. While partially shows that the variable level of education and PMDN have a significant positive impact on educated unemployment, and the UMR variable has a significant negative impact on educated unemployment.

Hubungan antara Pendapatan Daerah, Belanja Daerah dan Produk Domestik Regional Bruto (PDRB) di Provinsi Kepulauan Banka Belitung dengan Analisis Panel Vector Auto Regression (PVAR)

This study aims to analyze and determine the relationship between Regional Income, Regional Expenditures and Gross Regional Domestic Product (GRDP) in the Province of the Bangka Belitung Islands. The type of research used is quantitative. The data sources of this research are secondary data obtained from the Central Statistics Agency (BPS) and the Directorate General of Treasury (DJPB). The data used is on Regional Income, Regional Expenditure and GRDP in all districts/cities of the Bangka Belitung Islands Province in 2014-2019. The data analysis performed was analysis Panel Vector Auto Regression (PVAR). The results showed no causal relationship between regional income and GRDP in the Province of the Bangka Belitung Islands, with probability values of 0.94 and 0.87. Meanwhile, there is a one-way relationship between regional income and regional expenditure in the Province of the Bangka Belitung Islands with a probability value of 0.005 and 0.16, and there is no causal relationship between regional expenditure and GRDP in the Province of the Bangka Belitung Islands with a probability value of 0.98 and 0.96.

Analisis Dampak Penanaman Modal Asing Dan Tenaga Kerja Asing Tiongkok terhadap Perekonomian Indonesia

This study will discuss the influence of the influx of foreign investment and Chinese foreign workers on the Indonesian economy, where cooperation between the two countries uses a turnkey project scheme. This study uses secondary data with time-series data types and is sourced from the Central Statistics Agency, the Investment Coordinating Board, and the Ministry of Manpower for the 2010-2019 period. The method used in this research is quantitative and statistical descriptive using multiple linear regression or OLS (Ordinary Least Square). The study results show a positive influence of Chinese foreign investment on the Indonesian economy and Chinese foreign workers who positively impact the Indonesian economy. Although both are below 1 percent, the percentage of Chinese foreign workers' influence on the Indonesian economy is greater than that of Chinese foreign investment.

Analisis Peningkatan Upah Minimum Terhadap Penyerapan Tenaga Kerja di Provinsi Jawa Tengah

This study aims to analyze the short-term and long-term relationship of increasing the minimum wage in Central Java on employment. The research method used is ECM. The variables of this study include labor, minimum wages, PMDN, and economic growth. The data used are time-series data from 1990-2020. The results show that the minimum wage has a positive and significant relationship to the employment in the long term but not significantly in the short time. PMDN has a negative but significant correlation in the short and long term. At the same time, the variable economic growth has a positive but not meaningful relationship to employment absorption in the long and short term.

Analisis Covid-19 terhadap Usaha Mikro Kecil dan Menengah (UMKM) di Kabupaten Tulang Bawang Tahun 2020

Corona Virus Disease 2019 (Covid-19) entering Indonesia has an impact on restricted population mobility. In addition, Pembatasan Sosial Berskala Besar Policy (PSBB) affects the national economy, especially Micro, Small, and Medium Enterprises (MSMEs). It has a spillover effect in the lowest areas, including the Tulang Bawang Regency. This study uses a survey method with closed and open questions with respondents as many as 100 MSMEs in Tulang Bawang Regency to determine the impact of Covid-19 and how MSME strategies can overcome it. The results show that overall, MSMEs experience an adverse effect, but there are several types of MSMEs that continue to experience an increase. In addition, some MSMEs can adjust their business strategies through marketing changes through online sales, but MSME actors with low levels of education have difficulty.

Pengaruh Konsumsi Energi dan Deforestasi Terhadap Output Nasional Lima Negara Anggota ASEAN

The economic development aimed at improving people’s welfare often ignores the negative impact of the surrounding environment. The high use of energy aimed to increase the national income of the five ASEAN members hurts the environment by increasing CO2 levels in the air. This research aims to analyze the effect of CO2 emissions, coal consumption, electricity consumption and deforestation on national output in five ASEAN members. The variable used in this research is national output as the dependent variable and CO2 emissions, coal consumption, electricity consumption and deforestation as the independent variables. This research uses secondary data. The data is the panel data of five ASEAN members (Indonesia, Malaysia, Thailand, Philippines, Myanmar) from 2002 until 2018. The research method in this time is panel data regression, using Fixed Effect Model. This research shows that in five ASEAN members from 2002 until 2018, CO2 emissions harm national output, coal consumption, and electricity consumption positively affects national outcome, while deforestation does not affect national output.

Analisis Spasial pada Model Perekonomian Sumatera Bagian Selatan

This study tries to use the Spatial concept by analyzing the observed spatial patterns and spatial autocorrelation, as well as evaluating the spatial modeling of each region in 60 districts/cities in five Southern Sumatra Provinces. This research used Geoda. Geoda will then provide a spatial description of the condition of the percentage of GRDP presented in the Moran I statistics, LISA and LISA Clusterd Map in 2015-2019. The results of this study are expected to show the spatial relationship of GRDP between 60 regencies/cities in five provinces in Sumbagsel and be able to indicate how the spatial relationship is in the clustered pattern of regions with the same characteristics. Furthermore, the LISA Cluster map is expected to describe the grouping of GRDP in 11 regions. The SAR model was chosen to analyze cases of spatial linkage. This study will further provide an economic analysis of how the percentage of the population and GRDP influence, In addition, this study will examine how the influence of the Development Index and poverty on GRDP. Therefore, this research will be one of the studies that has the latest updates because it uses two approaches; spatial approach and economic approach presented in the results of the discussion and discussion.

Analisis Determinan Ketimpangan Pendapatan Di Provinsi Jawa Barat Tahun 2015-2020

This study aims to analyze the factors that influence income inequality in the province of West Java. The data used is in the form of a cross-section of 28 districts or cities in the area of West Java and a time series for a period of 6 years, namely from 2015-2020. This study uses panel data regression analysis using a fixed-effect model and is processed with the help of Eviews 10. The results showed that the Human Development Index had a significant positive effect on income inequality. The population had an insignificant negative effect on income inequality. The open unemployment rate had a positive and minor impact on income inequality.

Faktor Yang Mempengaruhi Tingkat Suku Bunga Deposito Bank Umum Di Indonesia

BBanks are financial institutions involved in the state development process that provide services to the public and have functions, such as raising funds. Banks cannot carry out their tasks properly if there are no funds; one of the ways the banks attract the public to raise funds is the time deposit interest rate. This study aims to determine what factors can affect commercial banks' deposit rates in Indonesia from 2010 to 2019. This research method uses multiple regression analysis techniques using the Vector Error Correction Model (VECM) method using secondary data. The results of this study indicate that the BI rate significantly affects the deposit rate. Inflation significantly affects deposit rates. Meanwhile, economic growth does not affect substantially deposit rates. The estimation results of the VECM model show that there is a significant effect in the long run but not substantial in the short term.

Analisis Perubahan Konsumsi E-commerce Di Indonesia Selama Pandemi Covid-19

Writing this study aims to determine increased access to e-commerce, increased spending in online shopping on e-commerce sites, and effect variable trust, ease, hedonic motivation, price, promotion, shopping experience, and product quality on consumer behavior in online shopping during pandemic Covid-19. The data used are primary data be in the form of a questionnaire with sampling technique random sampling—Metode of analysis data in this study their descriptive analysis and multiple linear regression. The analysis result shows increasing access to e-commerce sites during pandemic Covid-19 and increasing spending in online shopping through e-commerce sites during pandemic Covid-19. Analysis result of multiple linear regression shows that variable ease, price, promotion, shopping experience, and product quality significantly affect consumer behavior during the pandemic Covid-19. At the same time, trust and hedonic motivation does not have a significant effect. E-commerce continues to develop features to make it easier for consumers and ensure transaction security. That considerable effect on consumer behavior during the pandemic Covid-19 and product quality variable significantly affect consumer behavior during the pandemic Covid-19. Results of the analysis can be concluded that during pandemic Covid-19, there is increasing access to e-commerce sites and increasing spending in online shopping through e-commerce sites.