Open Unemployment Rate Research Articles

THE IMPLEMENTATION OF GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) METHOD ON OPEN UNEMPLOYMENT RATE IN REGENCY/CITY OF SUMATRA ISLAND

Unemployment is a condition where a person who is included in the labor force but does not have a job and is not actively looking for work. The number of unemployed is measured using the Open Unemployment Rate (OUR) indicator. OUR is obtained by comparing the number of job seekers and the number of labor force. This study aims to obtain a model of OUR in each district / city of Sumatra Island and what factors influence it using the Geographically Weighted Regression (GWR) method and Fixed Gaussian Kernel Function weighting, and describe predictor variables on thematic maps. The GWR method is one of the statistical methods that can prevent the presence of spatial aspects in the data. The parameters estimated by the local regression model vary at each location point and are estimated using the Weighted Least Square (WLS) method. Based on the research results obtained from this study, the GWR models obtained amounted to 154 different local models in each district / city on the island of Sumatra. Variables Labor Force Participation Rate, Population Growth Rate, Population Density and Average Years of Schooling have a significant influence on each location, meanwhile variable Percentage of Poor Population and variable Poverty Line have no influence on any location. These variables are able to explain the OUR by 57.2%, where the remaining 42.8% is explained by other factors that are not explained in the model.

Analysis of the Determinants of Open Unemployment Rate: The Role of Human Development Index and Socioeconomic Factors

Economic conditions, unfavorable government policies, the growth of fictitious economic sectors, a lack of education and skills, a shortage of employment opportunities relative to the number of job seekers, and job seeker competencies that do not align with the job market are some of the factors that contribute to unemployment. Analyzing the main determinants of the open unemployment rate in Bengkulu Province is the aim of this study. Multiple linear regression analysis was employed in this work to analyze secondary data from 2012 to 2023 that was obtained from the Bengkulu Province BPS. The study's findings demonstrated that the F count value of 3.391 from the simultaneous test was higher than the F table value of 3.106. The dependent and independent variables are not influenced by one another, it can be concluded. With a significance value of 0.195>0.05, the Human Development Index (HDI) (X4) is the variable that most affects the open unemployment rate in the partial test. It has a positive impact on the open unemployment rate. With a computed t value of 1.433 and a t table of 1.39682, the Human Development Index (HDI) (X4) is the variable that most affects the Open Unemployment Rate. The Determination Coefficient is 0.655, meaning that the Human Development Index (HDI) (X4), Population (X2), Poverty (X3), and PDRB (X1) each contributed 65.5% and 34.5%, respectively.

Analisis Kebutuhan Media Bimbingan Karier Kesiapan Kerja Di Era Digital Bagi Siswa SMK

Vocational High School (SMK) is a level of education that aims to prepare students to enter the world of work. However, data provided by Central Bureau of Statistics shows that SMK graduates are ranked first in the open unemployment rate in 2021 and 2022. This study aims to determine students’ needs for work readiness career guidance media, especially in the digital area. The research subjects were counseling teacher and grade XI students at SMKN 3 Makassar city. The type of research is the first step of the research and development (R&D) model of Borg and Gall. The research instruments used were interviews and questionnaires. The data analysis techniques used are descriptive data analysis and quantitative data analysis. The results showed that most students will look for work after graduation from SMK but there is no career guidance media about job readiness at school. The media needed is a digital based career guidance media with an attractive design

THE EFFECT OF INFLATION AND UNEMPLOYMENT ON NPF IN ISLAMIC COMMERCIAL BANKS IN INDONESIA

This research seeks to examine the influence of inflation and the number of unemployed people on the problematic financing (NPF) of sharia commercial banks. The monthly time period from 2012 to 2023 was used as secondary data in this study. The quantitative method of this study used the time series VAR method which was then transformed into VECM. The data used comes from secondary sources, namely Sharia Banking Statistics from the OJK which includes Problematic Financing data; Bank Indonesia reports accessed via its official website which includes inflation data; and information from the official website of the Central Statistics Agency (BPS) which provides open unemployment rate (TPT) data. Inflation and unemployment are the two main factors that influence Sharia Commercial Bank Non-Performing Financing in this analysis. Study findings indicate that non-performing financing of sharia commercial banks in the long and short term is positively influenced by unemployment and inflation. The conclusion is that there is a significant positive influence between inflation on NPF, the higher the inflation value, the higher the NPF value in Sharia Commercial Banks. Likewise, unemployment has a significant influence on NPF, so the higher the unemployment rate, the higher the NPF level.

Pengaruh Upah Minimum dan Tingkat Inflasi terhadap Pertumbuhan Ekonomi dan Tingkat Pengangguran Terbuka di Provinsi Banten

This study aims to determine the effect of wages and inflation on economic growth and the open unemployment rate in Banten. This quantitative research uses secondary data sourced from the Central Statistics Agency (BPS) from 2011 - 2023. The data analysis used used the path analysis method. The results of this study indicate that the minimum wage directly has a negative and significant effect on economic growth in Banten Province. Inflation has a positive but insignificant effect on economic growth in Banten Province. Minimum wage has a negative and significant effect on the Open Unemployment Rate in Banten Province. Inflation has a negative and insignificant effect on the Open Unemployment Rate in Banten Province. Economic Growth has a positive but insignificant effect on the Open Unemployment Rate in Banten Province. Meanwhile, indirectly, Minimum Wage has a negative and significant effect on Open Unemployment Rate through Economic Growth in Banten Province. Inflation has a positive and insignificant effect on the Open Unemployment Rate through Economic Growth in Banten Province.

Pengaruh Pertumbuhan Ekonomi, Rata-rata Lama Sekolah, dan Tingkat Pengangguran Terbuka Terhadap Tingkat Kemiskinan di Provinsi Kalimantan Selatan

This research was conducted focusing on the influence of economic growth variables, the average length of schooling, and the open unemployment rate to determine the level of poverty in South Kalimantan. Using secondary data quantitave research with the number of periods 2009-2021 using the multiple liniear regression method. Based on the results of the study it can be concluded that the variable economic growth has a positive but not significant effect on the level of poverty. RLS has a significant negative effect on the level of poverty. But for TPT it has a significant effect on the level of poverty.

Pengaruh Tingkat Pengangguran Terbuka, Indeks Pembangunan Manusia, dan Pertumbuhan Ekonomi Terhadap Tingkat Kemiskinan di Nusa Tenggara Timur

Poverty is a problem of socio-economic conditions characterized by a lack of meeting basic needs. Indonesia still experiences poverty problems, especially in remote areas and among the informal sector workers. Poverty is influenced by several factors such as education, access to resources, financial management, wages and infrastructure development. The purpose of this research is to understand the influence of the open unemployment rate, human development index, and economic growth on poverty in the Regencies of East Sumba, Sabu Raijua, Central Sumba, and West Sumba from 2013 to 2022. This type of research is quantitative, and applies data secondary which is available on the BPS East Nusa Tenggara website. Eviews12 software is used to perform panel data regression. In this research, the Fixed-Effect Model (FEM) is considered the most appropriate. Based on the research results, the variables of open unemployment rate, Human Development Index, and economic growth simultaneously influence the poverty level. Specifically, the open unemployment rate has a significant effect on the poverty rate in the East Sumba, Sabu Raijua, Central Sumba and West Sumba regions from 2013 to 2022.

Analisis Clustering K-Means untuk Pemetaan Tingkat Pengangguran Terbuka di Provinsi-Provinsi Indonesia Tahun 2013-2023

This study analyzes unemployment rates in Indonesian provinces using data from the Central Statistics Agency (BPS) for the period 2013-2023 and the K-Means clustering algorithm. The aim is to group regions based on the Open Unemployment Rate (TPT). Two main clusters were produced: one with a high unemployment rate (cluster 0) and one with a low unemployment rate (cluster 1). Cluster 0 consists of 12 provinces, while cluster 1 consists of 22 provinces. The model evaluation shows a Davies-Bouldin Index score of 0.7041, indicating good clustering quality. The clustering results are visualized in the form of a map for easy interpretation. This research is expected to help policymakers design more effective policies in reducing unemployment in Indonesia, provide deep insights into regional differences in terms of unemployment, and support targeted decision-making.

Pengaruh Jumlah Penduduk, PDRB, dan Rata-Rata Lama Sekolah terhadap Tingkat Pengangguran Terbuka di Kabupaten/Kota Provinsi Kalimantan Selatan Tahun 2017-2021

This study aims to analyze the effect of Population, GRDP, and Average Years of Schooling on the Open Unemployment Rate in the Regency/ City of South Kalimantan Province in the 2017-2021 period. The method of analysis used is panel data regression analysis using Eviews 12 software. Data collection is carried out from official sources such as the Central Statistics Agency (BPS) and other related agencies. The results of the study: (1) Population, GRDP, and Average Years of Schooling simultaneously affect the Open Unemployment Rate in the Regency/City of South Kalimantan Province. (2) Total population and GRDP partially have a significant effect on the Open Unemployment Rate, while Average Years of Schooling has no effect on the Open Unemployment Rate in the Regency/City of South Kalimantan Province. (3) Total Population is the most dominant variable affecting the Open Unemployment Rate.

Pengaruh Pertumbuhan Ekonomi, Tingkat Kemiskinan, dan Tingkat Pengangguran Terbuka Terhadap Indeks Pembangunan Manusia Kalimantan Selatan Tahun 2012-2021

This study aims to analyze the influence of South Kalimantan's Economic Growth, Poverty Rate, and Open Unemployment Rate in 2012-2021. This study used the panel data regression analysis method with quantitative data and the data was operated using the E-Views 10 application. The conclusion from this study is that Economic Growth has a negative and significant effect on the South Kalimantan Human Development Index in 2012-2021. The Poverty Level has a negative and significant effect on the South Kalimantan Human Development Index for 2012-2021. Meanwhile, the Open Unemployment Rate has a positive and insignificant effect on the South Kalimantan Human Development Index for 2012-2021.

Pengaruh Pertumbuhan Ekonomi, Indeks Pembangunan Manusia dan Tingkat Pengangguran Terbuka Terhadap Tingkat Kemiskinan (Studi Kasus 5 Kabupaten/Kota di Provinsi Kalimantan Selatan)

The study aims to see the effect of economic growth variables, human development index (HDI) and open unemployment rate partially and simultaneously on the poverty rate in 5 districts / cities of South Kalimantan Province in 2013-2022. This research uses the panel data regression calculation method with the help of the Eviews 12 application. The scope of this research takes 5 districts / cities in South Kalimantan Province, namely Tanah Bumbu,, Tapin, Hulu Sungai Selatan, Hulu Sungai Tengah and Banjarmasin City. The results of this study: (1) Economic Growth has a positive and insignificant effect. (2) Human Development Index has a negative and significant effect. (3) Open Unemployment Rate has a positive and significant effect. (4) Simultaneously, the variables of Economic Growth, Human Development Index and Open Unemployment Rate affect the Poverty Rate in 5 Regency / City of South Kalimantan Province in 2013-2022.

Analysis of the Influence of Open Unemployment Rate, Road Infrastructure Development, Inflation, and Economic Growth on Poverty Levels in Mataram City (2010-2023)

Although economic growth had started to improve at the time due to the World Superbike (WSBK) event being held in Mandalika, the rising poverty rate in Mataram has continued to fluctuate. For example, in 2021, the city's poverty rate increased. Economic growth, inflation, and the construction of transportation infrastructure all partially and concurrently contribute to Mataram City's poverty rate. Descriptive and associative quantitative methods are used in this study. Using multiple linear regression analysis methodologies, secondary and time series data from According to the study's findings, just one factor—inflation—had a substantial impact on the poverty rate in Mataram, whereas the open unemployment rate, road length, and economic growth had no discernible effects. The poverty rate in the city of Mataram is significantly impacted by the open unemployment rate, road length, inflation, and economic growth all at the same time. The development of MSMEs based on the creative economy, the creation of an appropriate city road network that will be more beneficial to the community's economy, targeted fiscal policies to lower the rate of inflation, and other suggestions are some ways the Mataram city government can try to alleviate poverty, and designing the right strategy to optimize foreign trade.

Utilizing Google Trends Data to Examine the Impact of Unemployment Rates on Indonesia's Gross Domestic Product

Abstract Data related to the economy have varying frequencies and have delays in publication time. Such as data on the Open Unemployment Rate (OUR) with a semi-annual frequency and Gross Domestic Product at Constant Prices (riil GDP) according to expenditure with a quarterly frequency. So, frequency conversion is required to conduct simple regression modelling using these data. On the other hand, big data such as Google Trends is an additional predictor to estimate OUR and GDP data to overcome delays in publication time. Then the estimated data is modelled to investigate the effect of OUR on GDP. Data conversion uses the Chow-Lin method, while estimation with Google Trends data uses robust regression. The study shows that the estimation results using Google Trends as an additional predictor provide more accurate results than without Google Trends data for OUR and GDP data. Based on the robust regression results, it can be concluded that the OUR has a negative and significant effect on GDP. The findings provide valuable insights for supporting sustainable economic policy and further research on economic analysis.

Determinan Tingkat Kemiskinan di Kabupaten Halmahera Selatan

Development index, open unemployment rate, and labor force participation rate on poverty. The results of this study show that economic growth, open unemployment rate, and labor participation rate have no effect on the human development index partially or simultaneously. Meanwhile, economic growth, human development index, open unemployment rate, and labor participation level affect poverty partially or simultaneously.

THE INFLUENCE OF ENTREPRENEURIAL SKILLS AND MOTIVATION ON ENTREPRENEURIAL INTEREST

The problem of this research is the open unemployment rate which is increasing every year. This type of research is quantitative. The data collection technique in this research is multiple regression analysis. By using data collection techniques by means of questionnaires and documentation. before researching the questionnaire, validity and reliability tests were carried out using the help of the SPSS application. And with a research population of 44 students. After collecting the data, the classical assumption test was carried out. From the results of data analysis, it can be seen that the coefficient of determination (R2) is 0.783 or 78.3%. Thus, this value means that the variable Entrepreneurial Skills (X1) and Entrepreneurial Motivation (X2) contributes 78.3% pengaruah to Entrepreneurial Interest (Y) while the remaining 21.7% is influenced by other variables outside the study. From the results of research that has been done shows that there is an influence of entrepreneurial skills and entrepreneurial motivation on entrepreneurial interest, it can be concluded that the more skills possessed and driven by high motivation, the greater the chance of creating a successful business.

Analysis of Factors Influencing Poverty Levels in Aceh Province

This research aims to determine the influence of the variables Open Unemployment Rate, Average Years of Schooling, and Per Capita Expenditure on poverty Levels in Aceh Province. This research uses quantitative methods; the data source used is taken from the Central Statistics Agency for 2012-2022, and the analysis technique uses panel data regression. The research results show that the TPT variable has a significant positive effect on the Poverty Level, while the Average Years of Schooling variable has no significant effect on the Poverty Level, and the Per Capita Expenditure Variable has a significant negative effect on the Poverty Level in Aceh Province.

Analysis of Economic Convergence of Districts and Cities in North Sulawesi Province

This research examines the previous year's Per Capita GRDP, Domestic Investment, Labor Force Participation Level, and Regency and City Open Unemployment Rates in North Sulawesi. The methodology is quantitative and obtained from the Central Statistics Agency, covering fifteen districts and cities in North Sulawesi from 2017-2022. This research uses a panel data regression analysis method using the Fixed Effect Model approach to determine the occurrence of absolute convergence and the Random Effect Model of conditional convergence. The findings of this research show that the GDP Per Capita variable in the previous year had a significant positive value, Domestic Investors had a positive and insignificant value, the Labor Force Participation Rate had a negative and insignificant value, and the Open Unemployment Rate had a negative and insignificant value.

Pengelompokan Indikator Kesejahteraan Masyarakat Berdasarkan Kabupaten/Kota di Jawa Tengah Tahun 2023 Menggunakan Analisis Cluster

Community welfare is a primary objective of national development, encompassing various aspects such as health, education, and decent employment, all of which play crucial roles in achieving national stability and progress. However, welfare is not solely dependent on economic factors but also on the overall quality of life. Unfortunately, disparities in welfare persist across different regions, influenced by local environmental factors, including access to education, which in turn affects job opportunities and income levels. Inequalities in employment opportunities can potentially slow down national development by reducing the number of individuals capable of contributing productively to key economic sectors. To enhance national development, further analysis of welfare indicators such as the open unemployment rate, human development index, labor force participation rate, and poverty levels is essential. Therefore, this study conducts cluster analysis on welfare indicators across districts/cities in Central Java for the year 2023. Both hierarchical and non-hierarchical (K-Means) clustering methods are employed to identify patterns of inequality by partitioning data into groups based on specific similarities. This approach facilitates a more effective review of policies to address welfare disparities across various regions. The findings indicate that the welfare indicators in Central Java are in a relatively poor condition, with low labor force participation rates, low human development indices, and high poverty rates. The hierarchical and non-hierarchical cluster analysis identified 5 optimal clusters, with all welfare variables having significant influence, requiring four iterations to reach the final centroids.

Socio-Economic Influence on Inclusive Economic Development in Eastern Indonesia

This study aims to study the socio-economic impact on inclusive economic growth in the eastern region of Indonesia. The quantitative method is based on data collected from the Central Statistics Agency, which covers thirteen provinces in the eastern region of Indonesia from 2017 to 2021. The influence of the dependent variable on the independent variable is determined through a panel data regression method using a fixed effects model. This research shows that the inclusive economic development index variable consists of the open unemployment rate with a negative and significant value; the number of poor people with a positive and significant value; gross regional domestic product with a positive and significant value; and domestic investment with a positive and significant value. These two variables have a significant impact on the inclusiveness of economic growth.

PELATIHAN BUILDING INFORMATION MODELLING BERBASIS TEKLA STRUCTURES PADA SISWA SEKOLAH MENENGAH KEJURUAN KELAS XI DI KABUPATEN MOJOKERTO

Vocational High School (SMK) graduates contributed the most to the percentage of TPT (Open Unemployment Rate) as of August 2022 of 5.86% or 8.42 million people. The importance of increasing the involvement of partners in the world of work in designing and managing learning in vocational schools and developing the potential of students' abilities and expertise that are in line with opportunities to work in the world of work and/or entrepreneurship can reduce the TPT score. The results of direct observations at schools and confirmed based on the provisions of BSKAP 033/H/KR/2022, the learning achievements of students have not achieved their competencies in either phase E or F, namely regarding the ability to model 3D pictorial projections using BIM technology. The purpose of this PKM in the field of BIM applications is to improve students' skills in applying Building Information Modeling in achieving 3D modeling abilities and competencies. The empowerment method applied is in the form of training and mentoring of BIM applications in 3D modeling of construction buildings to improve the skills of partners related to drawing 3D building structures with BIM technology integrated with software. From the results of the initial and final assessment analysis, it was found that there was an increase in partner skills related to drawing 3D building structures with BIM technology integrated with software of ≥ 70% based on the performance of the 3D modeling simulation that was built after participating in the training as well as an increase in skills in creating informative construction design visualizations with software of ≥ 70%.