Open Unemployment Rate Research Articles

Item Test Analyze of Entrepreneurship Readiness Instrument for Vocational School Students in East Java Indonesia

Vocational High Schools (SMK), recognized as a solution to address unemployment in Indonesia, simultaneously face the challenge of having the highest open unemployment rate (TPT) compared to other educational levels, standing at 10.38%. Enhancing the quality of questions assessing entrepreneurial readiness is a pivotal approach in tackling this issue. Various factors contribute to students' preparedness for entrepreneurship. This study aims to identify these components by surveying 176 respondents. Employing the Entrepreneurial Readiness Test and analyzing it through Classical Test Theory (CTT) and the Rasch Analysis Model, the research revealed that entrepreneurial mental attitude, risk-taking ability, creativity, motivation, and entrepreneurial skills significantly influence students' readiness for entrepreneurship. The analysis yielded IMS (Infit mean-square) scores ranging from 0.88 to 1.17 and OMS (Outfit mean-square) values between 0.86 to 1.35, indicating a fit for all 50 items in the entrepreneurial readiness test.

Sharia Board Characteristics, Macroeconomic Factors, and Non-performing Financing of Indonesian Islamic banks

This study examines the impact of Islamic board characteristics (SB) and macroeconomic factors on the Non-performing financing (NPF) of Islamic commercial banks (ICB). The sample of this study consisted of 14 ICBs in Indonesia from 2010 to 2021. In this study, data estimation used a one-step GMM System model. SB features such as SB Size and SB Woman were found to have a detrimental impact on NPF. GDP per capita, for example, negatively affects NPF, while inflation has a positive impact. However, this study could not show the impact of SB characteristics such as expertise and proximity of SB to NPF. The study also found that macroeconomic factors such as annual open unemployment and interest rates showed an insignificant negative influence on NFP. The findings of this study help regulators, investors, and management of Islamic banks better understand the impact of SB characteristics and macroeconomic factors on Non-performing financing (NPF) of Islamic banks, especially in the context of ICB in Indonesia. In addition, it is expected to inspire similar research in the future.

The Influence of Government Expenditures in the Education and Health Sectors on the Human Development Index and Its Impact on the Open Unemployment Rate in Pontianak City for the 2010-2022 Period

This research was conducted with the aim of analyzing the influence of the government budget in the education and health sectors on the Pontianak City Human Development Index (HDI), as well as the influence of the Pontianak City government budget in the education, health and Human Development Index (HDI) sectors on unemployment in Pontianak City in 2010 – 2022. The analytical method used is path analysis using secondary data sourced from the Directorate General of Financial Balance (DJPK) and the Pontianak City Central Statistics Agency. The results of this study found that the education and health sector budgets had an influence and significance on the Human Development Index (HDI) of Pontianak City, and the Pontianak City government budget for the education and health sectors had an influence but was not significant on the level of open unemployment in Pontianak City, as well as the HDI ( Human Development Index) has an effect but is not significant on the level of open unemployment. The results of the F test found that together the education and health sector budgets had a significant influence on the Human Development Index and together the Pontianak City government budget for the education, health sectors and the Human Development Index (HDI) had a significant influence on the level of open unemployment.

The Impact of Human Development Index, Minimum Wage, Labor Force Participation Rate, and Open Unemployment Rate on Economic Growth

The Impact of Human Development Index, Minimum Wage, Labor Force Participation Rate, and Open Unemployment Rate on Economic Growth

Analysis of the Effect Economic Growth, Open Unemployment Rate, Education, and PAD on Poverty Rate in Lumajang District

Poverty is a global problem faced by many countries in the world, including Indonesia. In an effort to achieve the Sustainable Development Goals (SDGs), poverty reduction is the main focus. This study aims to determine the effect of economic growth, unemployment rate, education, and local revenue on the poverty rate, and analyse the factors that influence poverty in Lumajang Regency. Multiple linear regression analysis method using Eviews 10 analysis tool was used in this study, with the research period covering 2012-2021. The results show that the Local Own Revenue (PAD) and Education Index have a significant influence on the poverty rate, while economic growth and unemployment rate have no significant influence on poverty. The findings suggest that the influence of unemployment, PAD, education, and economic growth on poverty rates in Indonesia is significant.

MODELING OPEN UNEMPLOYMENT RATE IN KALIMANTAN ISLAND USING NONPARAMETRIC REGRESSION WITH FOURIER SERIES ESTIMATOR

Nonparametric regression is a regression approach that is used to determine the relationship between the response variable and the predictor variable if the shape of the regression curve is unknown. One of the popular estimators used in nonparametric regression is the Fourier series estimator. Fourier series nonparametric regression is generally used when the pattern of the investigated data is unknown and there is a tendency for the pattern to repeat. The purpose of this study is to estimate nonparametric regression using the Fourier series approach and to find out the factors that influence the open unemployment rate on the island of Borneo in 2021. The criteria for the goodness of the model used Generalized Cross Validation (GCV) and the coefficient of determination ( ). Based on the results, it was found that the best nonparametric regression model for the Fourier series was the model with 5 oscillations which indicated a minimum GCV of 10.47 and an of 74.22%. Furthermore, based on the results of parameter significance testing either simultaneously or partially, it shows that all predictor variables have a significant effect on the open unemployment rate. The predictor variables include the labor force participation rate, the average length of schooling, the percentage of poor people, economic growth rate, and total population.

Analisis Regresi Komponen Utama untuk Mengatasi Multikolinearitas pada Faktor-Faktor yang Mempengaruhi Indeks Pembangunan Manusia

West Nusa Tenggara and East Nusa Tenggara provinces are among the provinces with low human development indexes. There are seven factors used in this study that are considered to affect the human development index in the two provinces, namely gross regional domestic product, poor population, open unemployment rate, population, life expectancy, labor force and average years of schooling. The method used by researchers in overcoming multicollinearity in this study is principal component regression. Therefore, this study aims to apply principal component regression in overcoming the problem of multicollinearity on the the effect of gross regional domestic product, poor population, open unemployment rate, population, life expectancy, labor force and average years of schooling on the human development index. Based on the results of the analysis that has been carried out, the principle component regression model is obtained as follows Y = 42.548 + 0.00000991X_1 + 0.0371X_2 + 0.343X_3 + 0.000005949X_4 + 0.2532 + 0.000012947X_6 + 0.1348X_7. With the coefficient of determination (R^2) 0.834.

Analysis of the influence of poverty, human development index, and unemployment on economic growth in the regency/city of Gorontalo Province: 2012–2021 study

The low economic growth of Gorontalo province and the smallest PDRB ADHK in Indonesia are the reasons why this research needs to be carried out to look at the influence of the number of poor people, human development index and unemployment on economic growth in the districts/cities of Gorontolo Province, as a result, there is a mismatch between empirical and theoretical, this research was conducted to fill the information gap on how the three variables influence economic growth, This research was conducted to determine the effect of the number of poor people, the human development index. and unemployment on economic growth, research population data on the number of poor people, HDI, Unemployment, Economic growth, the sampling technique of this research is non-probability sampling, where the full sampling method is applied, Gorontalo Province with six regencies/cities is sampled in this research, with data taken in 2012–2021, the data analysis technique uses panel data regression, with three-panel data model estimates namely CEM, FEM, REM and model selection techniques, Chow test, Hausmant Test and Lagrange multiplie equipped with classical assumption tests and T hypothesis tests and F, the research Finding show that the number of poor people in the Regency/City of Gorontalo Province does not have a significant effect on economic growth in Gorontalo Province. Rice, which is the staple food for the people of Gorontalo, apart from rice, the high level of cigarette consumption among the people of Gorontalo, apparently also has an impact. large impact on the increase in the number of poor people, the human development index in the Regency/City of Gorontalo Province has a significant influence on the economic growth of Gorontalo Province where every increase that occurs in the HDI results in an increase in economic growth in Gorontalo Province, thirdly, the open unemployment rate in the Regency/City of Gorontalo Province does not have a significant effect on the economic growth of Gorontalo Province, conclusion of this research is only HDI affects economic growth in Gorontalo.

Does The BBN KB Incentive Policy Increase Ownership Of Battery-Based Electric Vehicles? Indonesia Case Study

Indonesia's commitment by 2060 is to reduce greenhouse gas emissions and realize net zero emissions. The transition of electric vehicles in the transportation sector with renewable energy is a solution to reduce emissions. However, the ownership rate of battery-based electric vehicles in Indonesia is still low. This study empirically discusses the effect of the BBN KB incentive policy designed to encourage ownership of battery-based electric vehicles in Indonesia. To determine the effect of the BBN KB incentive policy on battery-based electric vehicle ownership, a Moderated Regression Analysis (MRA) panel data analysis with Pooled Ordinary Least Square (POLS) estimation technique is used using secondary data from 34 provinces in Indonesia from 2019-2022. The results of the analysis found that the BBN KB incentive policy has a significant effect on increasing ownership of electric vehicles, especially battery-based electric cars in Indonesia. The factors of the number of charging infrastructure (SPKLU), consumer awareness, fuel prices and open unemployment rates have a significant influence on ownership of battery-based electric motorized vehicles. Analysis on the island of Java explains that there is a significant effect on increasing ownership of battery-based electric car vehicles after the policy is implemented, while on non-Java island the BBN KB incentive policy shows an insignificant impact on increasing ownership of battery-based electric vehicles, especially 4-wheelers.

Chemoentrepreneurship-based learning

The Sustainable Development Goals (SDGs) are global action plans that aim to address various problems globally in the social, economic, cultural, energy, and environmental fields. One of the global problems is the significant open unemployment rate due to the gap between graduates and available jobs. Therefore, we need an innovation in learning to train students to develop their competencies. Competency development can be done through chemoentrepreneurship-based chemistry learning (CEP). CEP-based learning is chemistry learning through projects in product manufacturing and marketing. This study aims to measure students' social and vocational skills through CEP learning. This research was conducted at Islamic Senior High School in Rembang, Indonesia. The research subjects were 47 students. The results of the N-gain test showed that the social skills of the experimental and control groups experienced an increase in the low/effective less category. The N-gain value of the experimental group's social skills was 50.06, while the control group was 41.32. The results of the N-gain test for vocational skills in the experimental group were better than those in the control group. The increase in the vocational skills of the experimental group was in the medium/quite effective category (58.32), while the control group experienced a very low/ineffective increase in the category (33.47).

Analisis Pengaruh Jumlah Penduduk, IPM dan Tingkat Pengangguran Terbuka Terhadap Tingkat Kemiskinan di Provinsi Jawa Timur

Poverty is a complex economic problem and is often faced by countries in the world. There are various factors that cause poverty, especially in Indonesia. This research aims to determine the influence of Population, Human Development Index, and Open Unemployment Rate on poverty levels in East Java Province. This research uses quantitative research and secondary data for the 2017 – 2022 time period obtained from the official portal of the East Java Province Central Statistics Agency. The analytical tool used is panel data regression using the selected Fixed Effect model. The results of this research show that the population variable does not have a significant effect on the poverty level in East Java Province, the human development index variable and the open unemployment rate variable have a significant effect on the poverty level in East Java Province. Meanwhile, simultaneously the variables of population, human development index, and open unemployment rate have a significant effect on the poverty level in East Java Province

Metode Geographically Weighted Panel Regression (GWPR) Untuk Menganalisis Faktor Yang Mempengaruhi Kemiskinan Di Provinsi Sumatera Utara

This study aims to analyze the factors of population density, life expectancy, years of schooling, open unemployment rate, per capita monthly food expenditure, population with health complaints, economic growth, human development index, households with access to proper drinking water and households with access to proper sanitation on the percentage of poverty in North Sumatra province. This research is based on secondary data available at the North Sumatra Central Bureau of Statistics in 2017-2021. The factor analysis used in this study is Geographically Weighted Panel Regression (GWPR) which is a combination of the Geographically Weighted Regression (GWR) method with the panel data regression method. The results of the research analysis show that simultaneously the factors of population density, life expectancy, open unemployment rate, monthly per capita food expenditure, population with health complaints, households with access to proper drinking water have no significant effect. If tested simultaneously, only the factor of households having access to proper sanitation has a significant effect on the percentage of poverty. However, partially, these factors have a significant effect on the percentage of poverty.

Pengaruh Pertumbuhan Ekonomi, IPM, dan Kemiskinan Terhadap Tingkat Pengangguran Terbuka Kabupaten/Kota Provinsi Bali Tahun 2017-2021

This study aims to determine the effect of economic growth, human development index, and poverty on the open unemployment rate in regencies/cities in Bali Province in 2017-2021. The data used comes from the Central Bureau of Statistics (BPS). The analysis used in this study is multiple linear regression analysis using the Fixed Effect Model (FEM) approach to determine the influence of economic growth, HDI, and poverty on the open unemployment rate. The results of the analysis show that economic growth, HDI, and poverty affect the available unemployment rate in districts/cities in Bali.

Determinants of Inclusive Economic Development: A Fixed Effect Model Approach

The implementation of development in Indonesia faces challenges and obstacles along with the dynamics of community life and changes in the global constellation. The economic development model that has been applied only encourages economic growth, resulting in social exclusion in the form of poverty, unemployment and social inequality. This study aims to estimate the factors that influence inclusive economic development in Indonesia. The data used comes from 34 provinces in the period 2015-2022. This research contributes to economic development in the form of inclusive economic development, the use of IEDI as a value that shows the level of inclusiveness of Indonesia's development, and contributes to the determinants of IEDI. The model used is FEM with the results showing that the variable open unemployment rate has a negative and significant effect. The rate of GRDP, and HDI has a positive and significant effect on inclusive economic development. The number of poor people insignificant effect. This is based on the trickle-down effect theory which explains that the progress obtained by a group of people automatically trickles down so that it will create jobs. In the end, it will foster an equitable distribution of the results of economic growth. Since economic growth is an indicator of economic development, such changes will affect the number of poor people in the long run.

Okun’s Law: Analisis Tingkat Pengangguran Terbuka Kabupaten Banjar Ditinjau dari Perspektif Laju Pertumbuhan Ekonomi

Unemployment is one of the main problems that is very influential and is also affected by several factors that are interrelated with each other and have a close relationship with the unemployment rate; this is because the working population contributes to the production of goods and services. Based on data obtained from the Central Bureau of Statistics, it was found that in the 2018-2021 period, there was a positive relationship between economic growth and open unemployment, and there were doubts due to the rejection of previous research results, so it is possible to analyze the level of open unemployment in Banjar Regency in terms of the rate of economic growth in 2017-2022 using the Okun's Law theory approach. This research uses a quantitative method with time series analysis using simple linear regression analysis to obtain Okun's coefficient. The results found that economic growth has no significant negative effect on the unemployment rate. In addition, the insignificant value of Okun's coefficient indicates a negatively unresponsive unemployment rate in Kabupaten Banjar, and there is an insignificant negative relationship between economic growth and the open unemployment rate. Therefore, Okun's law theory is proven not to apply in the economy of Kabupaten Banjar.

Analyzing the impact of population size, regional minimum wage, and economic growth on unemployment

The problem of unemployment is indeed very complex to discuss, because it can be related to several economic indicators that have a relationship with the open unemployment rate. The role of the government is needed to overcome the problem of unemployment in the region. Uncontrolled population numbers can result in not achieving economic development goals. The success of economic development can be seen from economic growth and the smaller inequality in an area, with the increasing economic development of a region, it is expected to be able to reduce the existing unemployment rate where welfare will be achieved properly. This study has a purpose: to analyze the effect of population, regional minimum wages, and economic growth on the open unemployment rate in Central Kalimantan. This study uses secondary data which is time series data from 2013-2019. Analysis of the data used is panel data with the help of the eviews program. The result of this study is that the variables of population, regional minimum wage, and economic growth have a positive effect on the open unemployment rate in Central Kalimantan. When the population increases and when real wages increase, companies will reduce the demand for labor, while the supply of labor is higher than the demand for labor, then this causes the unemployment rate to increase

Pendampingan Pendaftaran NIB sebagai Faktor Kunci Kesuksesan UMKM di Era Digital di Desa Sait Buttu Saribu Pamatang Sidamanik

Head of BPS Pematangsiantar, Marlise Simamora, through BPS Social Statistics Function Coordinator Eksandi Simanjuntak, explained that the Covid-19 virus pandemic caused the open unemployment rate (TPT) in Pematangsiantar to increase from 11.09 percent in 2019 to 11.50 percent. The aim of this activity is to provide an understanding of the importance of digital NIB and OSS to obtain ease of business legality and other documents such as corporate or individual NPWP. This activity is carried out using the method of socialization and assistance to the community which is carried out for approximately one month and has a special target for people who do not yet have a business registration number (NIB) but already own or run a micro business. This real work lecture activity has been coordinated directly with the Sait Buttu Saribu Saribu Pamatag Sidamanik Village government.

PENERAPAN MODEL GEOGRAPHICALLY WEIGHTED PANEL REGRESSION PADA TINGKAT KEMISKINAN DI PROVINSI KALIMANTAN SELATAN

South Kalimantan Province is one of the provinces in Indonesia which has the lowest poverty rate or percentage of poor people on the island of Kalimantan, even in Indonesia. The percentage of poor people in South Kalimantan Province in March 2022 was 4.49% or in the 2nd lowest poverty position in Indonesia, below the Bangka Belitung Islands Province and above the Bali Province. Geographically Weighted Panel Regression (GWPR) is a local regression model with repeated data at location points for each observation at different times. This study aims to estimate the GWPR model parameters and test the significance of the GWPR model parameters to determine the factors that influence poverty in South Kalimantan Province. The independent variables used affect the dependent variable in the form of the Percentage of Poor Population, namely Life Expectancy, Open Unemployment Rate, Economic Growth, Average Years of Schooling and Number of Crimes. The analysis in this study is descriptive analysis using thematic maps, panel data regression analysis to determine the global model and GWPR by combining the panel data model with the GWR model. The results of this study show that the fixed effect model is a global model and the fixed bisquare weighting function is the best weighting function for estimating the GWPR model. Based on the GWPR model formed, there are 7 model groups based on significant independent variables. Hulu Sungai Utara and Hulu Sungai Tengah districts are districts where poverty in these areas is influenced by many variables compared to other regions in South Kalimantan Province.

ELASTISITAS EKSPOR SEKTOR PERTANIAN TERHADAP IPM KETIMPANGAN, KEMISKINAN, TPT DAN PDRB PROVINSI SUMATERA UTARA

Indonesia is an agricultural country and has a large abundance of natural resources, especially in the agricultural sector. The abundance of resources in the agricultural sector is also balanced by high economic growth. However, at the same time, people's welfare is still relatively low. It is feared that there is a natural resource curse phenomenon in resource management in Indonesia. The purpose of this study was to determine the elasticity of exports of the agricultural sector to welfare indicators in North Sumatra Province. The data source is secondary data using time series data for 20 years and cross section data as many as 7 variables that produce 140 observations. The analytical technique used in this study is the distribution lag model. The results showed that the elasticity of exports of the agricultural sector to indicators of public welfare in the province of North Sumatra is inelastic. Exports of the Agricultural Sector also have a significant effect on indicators of inequality and the open unemployment rate when viewed from the side of the trend for 20 years. The community is expected to participate in every poverty alleviation effort, especially through the contribution of income to the income of poor households.

PERENCANAAN PEMBANGUNAN EKONOMI WILAYAH BERBASIS PERTANIAN DALAM RANGKA PENGURANGAN KEMISKINAN DI PROVINSI GORONTALO 2008-2019

This research is motivated by the issue of high poverty rates in the Province of Gorontalo, as well as the low value added in the agricultural sector, reflected by the sluggish growth of the agricultural sector and the prevalence of poverty among the population employed in this sector. The aim of this study is to investigate how the growth of the agricultural sector and other control variables influence poverty reduction in the Province of Gorontalo. The research employs panel data analysis using data encompassing all districts/cities in the Province of Gorontalo over a span of 12 years. Poverty plays the role of the dependent variable, while the growth of the agricultural sector serves as the independent variable along with other control variables, namely agricultural basis/non-basis region dummies, Human Development Index, Economic Realization, and Open Unemployment Rate. The results indicate that the dummy variables for agricultural basis and non-basis regions, Human Development Index, and Economic Realization have a significant negative impact on poverty. However, the variable of agricultural sector growth has an insignificant effect, and the open unemployment rate also has an insignificant influence on poverty.